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The Python Software Foundation made me a PSF fellow member, along with Adam Johnson.

The new and improved AI Assistant for the 2024.2 versions of JetBrains IDEs is now out, featuring smarter and faster AI code completion for Java, Kotlin, and Python; an enhanced UX when working with code in the editor; AI functionality for Git conflict resolution, in-terminal code generation, new customizable prompts, improved test generation, and more.

Don’t have AI Assistant yet? 

To experience the latest enhancements, simply open a project in your preferred JetBrains IDE version 2024.2, click the AI icon on the right toolbar to initiate the installation, and follow the instructions to enable it. 

You can also experience free local AI completion functionality with full line code completion (FLCC) in your IDE of choice, including CLion and Rider starting from 2024.2. Learn more about FLCC in this blog post. 

Faster and smarter cloud code completion

One of the main focuses of this release was to enhance the user experience of AI code completion in JetBrains IDEs. Here are some of the major advances we’ve made in this direction:

JetBrains code completion models for Python, Java, and Kotlin

We’ve significantly improved the quality and reduced the latency of our code completion for Java, Kotlin, and Python. These enhancements are powered by JetBrains’ internally trained large language models. Enhanced locations for cloud completion invocation extend the variety of usage scenarios, while improved suffix matching ensures that the predicted code snippet correctly completes the existing code.

Syntax highlighting for suggested code

Inline code completion suggestions now come with syntax highlighting, improving the readability of the suggested code.

Incremental acceptance of code suggestions

To simplify the process of reviewing suggestions, multiline code suggestions are now displayed only after accepting a single-line suggestion, allowing you to review and accept code gradually. Additionally, if you don’t want to accept an entire suggested line, you can accept it word by word using the same shortcut that you’d typically use to move the caret to the following word (Ctrl+→ for Windows and ⌥→ for macOS).

Seamless interaction of all available code completion types

We have made UX improvements to better integrate AI code completion features into IDE workflows. This includes a reworked UX for multiline completion and the ability to display suggestions alongside basic IDE completions.

Enhanced in-editor code generation

With the latest update, JetBrains IDEs now feature an improved AI code generation experience. Previously, generated code would open in a new tab. Now, it’s displayed directly in the current editor tab, allowing for an immediate review of the generated content. Check it out using the shortcut ⌘\ on macOS or Ctrl+\ on Windows and Linux.

AI chat becomes smarter GPT-4o support

With the new release, AI Assistant now supports the latest GPT-4o model, bringing a boost to the AI Assistant’s chat-related functionalities, such as finding and explaining errors, explaining code, and refactoring.

Chat references and commands

We have introduced chat references and commands to enhance your AI Assistant’s chat experience, giving you more control over your context. Now, you can reference any symbols, allowing you to quickly indicate the context of your query and get more precise responses. Additionally, you can easily mention specific files or uncommitted local changes. Supported commands include /explain and /refactor, allowing you to quickly get explanations or refactor selected code without typing out questions in the chat.

New feature: merge VCS conflicts with AI

When multiple contributors are making changes to the same part of the codebase, and you try to pull your changes, conflicts may arise. To avoid any issues down the line, JetBrains IDEs now provide a tool for reviewing and resolving any such conflicts. Starting from version 2024.2, the Git conflict resolution modal dialog features AI capabilities to assist with merging conflicts. After AI has done its job, you can review the merged result and either accept everything or revert the changes individually. 

New feature: AI-powered command generation in the new Terminal

Generate commands with AI directly in your IDE via the new Terminal tool window. This integration ensures you can efficiently complete command-line tasks without distraction, improving your overall workflow.

Enhanced unit test generation with AI Assistant

Starting from version 2024.2, the Generate Unit Tests action can be invoked not only on methods but also on classes. If a class has multiple methods, the AI will automatically choose the most suitable one for testing. The latest update also includes more customization options for unit test generation. 

Customizable unit test guidelines

Users can set their own unit test guidelines by customizing the test generation prompt in the AI Assistant’s Prompt Library. This allows you to add specific testing rules for Java, Kotlin, JavaScript, Go, Python, PHP, and Ruby.

Adding test cases to existing tests

AI Assistant now supports adding new test cases to existing test files for Java and Kotlin, allowing you to generate new tests using AI.

Сustom prompts for documentation generation 

The latest update to JetBrains IDEs introduces customizable documentation generation prompts. This feature allows the model to generate documentation for a selected code element and inserts it directly into the code. Users can now define the desired content of the generated documentation for different languages and specify various formatting options, such as Javadoc for Java, ensuring the documentation adheres to preferred styles and standards.

Natural Language setting

You can now specify the language in which you want to interact with the AI chat via Settings. After enabling the Natural Language setting, the context of the current chat will be updated, and any new answers generated by the AI will be provided in the user’s chosen language.

Using AI for working with databases

The new release brings AI to a variety of database-specific features within JetBrains IDEs. You can try these out in DataGrip or in a JetBrains IDE of your choice using the bundled Database Tools and SQL plugin.

Get AI assistance when modifying tables

AI Assistant can now help you change the database-specific parameters of a table. Ask AI Assistant to modify a table according to your requirements right in the Modify dialog. Once AI Assistant generates the requested SQL code, you’ll be able to review it in the preview pane of the dialog and then apply the changes.

Explain and fix SQL problems

DataGrip’s code inspections detect various issues with your SQL queries before execution, which are then categorized according to predefined severity levels.

The latest update integrates AI to enhance the comprehension and resolution of SQL problems. For issues with a severity level higher than Weak warning, the AI Assistant offers explanations and fixes. For better context and more accurate suggestions, you can also attach your database schema.

AI Enterprise: unlocking organizational productivity

Are you looking to maximize productivity at an organizational scale? AI Enterprise runs on premises as part of JetBrains IDE Services, ensuring complete control over data and AI operations within your organization’s infrastructure. It also provides AI usage statistics and reports, offering insights into how AI tools are utilized across your development teams. Learn more about AI Enterprise.

Enhance your writing with Grazie, now included in the AI Pro subscription plan

We’re excited to share that Grazie, our AI writing companion for people in tech, is now included in the AI Pro subscription plan. Use Grazie to transform your thoughts into clear, well-articulated writing, with features like instant proofreading, inline text completion, summarization, translation, rephrasing, and more!

Grazie is now available as a plugin for your JetBrains IDEs and as an extension for browsers. While there is a free version, AI Pro subscribers enjoy full volume access to the entire suite of Grazie’s AI features, which is 500 times greater than the basic volume and replenishes weekly.

Explore AI Assistant and share your feedback

You can learn more about AI Assistant’s key features here. However, the best way to explore its capabilities is by trying it out yourself.

As always, we look forward to hearing your feedback. You can also tell us about your experience via the Share your feedback link in the AI Assistant tool window or by submitting feature requests or bug reports in YouTrack.

Happy developing!

#642 – AUGUST 13, 2024
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Testing Coverage and Using nox

This is part 9 in an in-depth series on testing. This part talks about using coverage tools to check how much of your code gets executed during tests, and how to use the nox tool to test against a matrix of Python and dependency versions.
BITE CODE!

Asynchronous Iterators and Iterables in Python

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500 Devs, Deploying 200x a Day, While Maintaining 4 Million Lines of Code 😮‍💨

Sounds tricky right? Well that’s exactly what Kraken Technologies is doing. Learn how they manage 100s of deployments a day and how they handle errors when they crop up. Sneak peak: they use Sentry to reduce noise, prioritize issues, and maintain code quality–without relying on a dedicated QA team →
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Log Context Propagation in Python ASGI Apps

This explains how to automatically attach contextual information to all the log messages coming out of a Python ASGI application.
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PEP 750: Tag Strings for Domain-Specific Languages (Added)

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Python 3.12.5 Released

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Django Security Releases: 5.0.8 and 4.2.15

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Django 5.1 Released

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Create Amazing Progress Bars in Python With alive-progress

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PyCon US 2024 Recap and Recording Release

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Python Extensions Should Be Lazy

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Projects & Code RustPython: A Python Interpreter Written in Rust

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fasthtml: The Fastest Way to Create an HTML App

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wat: Deep Inspection of Python Objects

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zulip-terminal: Official Zulip Chat Terminal Client

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emptylog: Expand the Logger Protocol and Test Logs

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Events Weekly Real Python Office Hours Q&A (Virtual)

August 14, 2024
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PyData Bristol Meetup

August 15, 2024
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PyLadies Dublin

August 15, 2024
PYLADIES.COM

SheDevelopers: Python Mastery Workshop 1st Edition

August 16 to August 17, 2024
SHEDEVSPYTHONWORKSHOP.CO.ZW

PyCon Somalia 2024

August 21 to August 23, 2024
PYCON.ORG.SO

Kiwi PyCon XIII

August 23 to August 26, 2024
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Happy Pythoning!
This was PyCoder’s Weekly Issue #642.
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Things developed since my last post. Some lesions opened up on my ankle which was initially good news: the pain substantially reduced. But they didn’t heal fast enough and so medics decided on surgical debridement. That was last night. It seemed to be successful and I’m in recovery from surgery as I write. It’s hard to predict the near-future, a lot depends on how well and fast I heal.

I’ve got a negative-pressure dressing on it, which is incredible: a constantly maintained suction to aid in debridement and healing. Modern medicine feels like a sci fi novel.

The PSF is pleased to announce its first batch of PSF Fellows for 2024! Let us welcome the new PSF Fellows for Q1! The following people continue to do amazing things for the Python community:

Adam Johnson

Website, Mastodon, Github

Paolo Melchiorre 

Website, Mastodon, GitHub, Stack Overflow, YouTube, LinkedIn, X

Thank you for your continued contributions. We have added you to our Fellow roster.

The above members help support the Python ecosystem by being phenomenal leaders, sustaining the growth of the Python scientific community, maintaining virtual Python communities, maintaining Python libraries, creating educational material, organizing Python events and conferences, starting Python communities in local regions, and overall being great mentors in our community. Each of them continues to help make Python more accessible around the world. To learn more about the new Fellow members, check out their links above.

Let's continue recognizing Pythonistas all over the world for their impact on our community. The criteria for Fellow members is available online: https://www.python.org/psf/fellows/. If you would like to nominate someone to be a PSF Fellow, please send a description of their Python accomplishments and their email address to psf-fellow at python.org. Quarter 2 nominations are currently in review. We are accepting nominations for Quarter 3 through August 20, 2024.

Are you a PSF Fellow and want to help the Work Group review nominations? Contact us at psf-fellow at python.org.

You’ve got a dictionary, but you’d like to sort the key-value pairs. Perhaps you’ve tried passing a dictionary to the sorted() function but didn’t receive the results you expected. In this video course, you’ll go over everything you need to know to sort dictionaries in Python.

In this video course, you’ll:

• Review how to use the sorted() function
• Learn how to get dictionary views to iterate over
• Understand how dictionaries are cast to lists during sorting
• Learn how to specify a sort key to sort a dictionary by value, key, or nested attribute
• Review dictionary comprehensions and the dict() constructor to rebuild your dictionaries
• Consider alternative data structures for your key-value data

[ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]

So, you've just set up pre-commit hooks on your repository using `pre-commit`, but do you know what actually happened when you ran `pre-commit install` or why you had to run it in the first place? How does `pre-commit` actually work with Git? In this article, I will take you behind the scenes of how your `pre-commit` setup works.

This post is written on behalf of the LabPlot team. It’s different compared to what we usually publish on our homepage but we feel we need to share this story with our community.

Introduction

You might already know this, but finalizing a release for a project with the complexity and scope like that of LabPlot can be hard and exhausting. After our latest recent 2.11 release, we decided to take a short break and distance ourselves from coding and take care of other non-coding related tasks, like discussions around the NLnet grant for LabPlot, our ongoing GSoC projects, the roadmap for the next release, improving our documentation, the gallery on the homepage and the article about LabPlot on Wikipedia. Don’t worry, we’re already back to coding and working on new features for the next release

The article about LabPlot on Wikipedia (we are talking about the ‘EN’ version here, but the situation is similar for other languages) was completely outdated and still containing the information about LabPlot1 from Qt3/KDE3 times. The article became largely wrong with the introduction of LabPlot2 and with further developments in recent years. Among other things, the feature set described on Wikipedia was very far from being correct and complete in comparison to the description for other applications of its type.

The current situation was clear for us and it was also evident what needed to be done. Let’s go ahead and improve the article, we thought. Hey! Being able to contribute and to share your knowledge with everybody is the advantage of Wikipedia, right? Easier said than done…

Key Takeaways

But before we begin:

• Wikipedia itself points out that the purpose of Wikipedia is to benefit readers by acting as a comprehensive compendium that contains information on all branches of knowledge. For this purpose, as it is clearly stated on Wikipedia, “Wikipedia has many policies or what many consider “rules”. Instead of following every rule, it is acceptable to use common sense as you go about editing. Being too wrapped up in rules can cause a loss of perspective, so there are times when it is better to ignore a rule. Even if a contribution “violates” the precise wording of a rule, it might still be a good contribution.” Link: Use common sense.
• According to Wikipedia there is no need to read any policy or guideline pages to start editing. The five pillars of Wikipedia are a popular summary of the most important principles. And the three of the pillars are formulated as follows: 1. Wikipedia is free content that anyone can use, edit, and distribute. 2. Wikipedia’s editors should treat each other with respect and civility. 3. Wikipedia has no firm rules. And If a rule prevents you from improving or maintaining Wikipedia, ignore it.
• In this Wikipedia’s article on https://en.wikipedia.org/wiki/Wikipedia:Dispute_resolution it is stated that once sustained discussion begins, productively participating in it is a priority. Editors should focus on article content during discussions; comment on content, not the contributor. And when an editor finds a passage in an article that is biased, inaccurate, or unsourced the best practice is to improve it rather than deleting salvageable text.
• I fully acknowledge these common-sense principles. I accept the fact that some phrases of the original version of the new content added by Dariusz, another core member of the LabPlot team, might have possibly infringed a less general rule on Wikipedia, and that’s why he asked for a constructive assistance, to no effect.
• I can also accept the reality and the existence of different users with the various amount of expertise, goodwill and power. The worst case are people contributing in a subversive manner over long time to such an open project to achieve more power and authority and completely different and evil goals later, and this can also be related to users with granted power. See the recent XZ Utils backdoor. I also accept the fact that the amount of work behind the scenes on Wikipedia requires the usage of automated mechanisms and bots (“Meet the ‘bots’ that edit Wikipedia”).
• However, I cannot accept the fact that the quality of knowledge on Wikipedia can be seriously undermined by power users heavily using algorithms and blindly enforcing some subjectively selected, narrow rules against the general principles outlined above, and at the same time not being open to any constructive discussion. The fact that complete content and comments are censored and removed by users with granted power or by their (semi-)automated tools, which deceives the reader and distorts the history of the discussion, is definitely not acceptable. And this is apparently not an exception, see the links here, here and here and many other similar discussions on the internet.

Keep the above in mind while you read what happened.

The incident I want to share with you is certainly not about LabPlot and its team. It’s about the negative impact of blindly invoking algorithms or quoting a single rule by Wikipedia’s users with granted power on the overall quality of the information stored on Wikipedia. As Dariusz noticed, in economics there is the observation that “bad money” drives out the “good money” from the market (Gresham’s Law “bad money drives out good”). We wonder whether the actions of the entities like MrOllie, some of which are described in the next parts of the article, are enough to justify the introduction of a new law for Wikipedia “bad information drives out good”?

Chain of events

In order to make the content correct and to provide an up-to-date description of the project, similar to the articles for other projects mentioned e.g. on https://en.wikipedia.org/wiki/List_of_information_graphics_software, Dariusz did multiple edits of the article over the course of two days using his Wikipedia account ‘Dlaska’. Very soon after that, the entity MrOllie became aware of his changes and reverted them completely with the suggestion that it was a promotional rewrite. Then, a “user talk” with Dariusz was initiated by MrOllie:

We are all volunteers, having no benefit other than satisfaction from developing LabPlot. But sticking to the principle of intellectual honesty, Dariusz himself fully disclosed to MrOllie that he is a LabPlot team member that felt obliged to step in to correct misleading information in the article and to make the content more complete and up-to-date, because no one has done it for a long time. Unable to get any suggestions from MrOllie despite Dariusz’ requests, Dariusz removed any phrases that could even potentially have promotional qualities (e.g. rename “strongly support” to “support”). Unfortunately, even this had no effect on the actions of MrOllie, resulting in the revert of the new content.

In parallel, I joined these activities and reverted the revert done by MrOllie and provided some explanations for this step. Another “user talk” with me (I don’t have any account, you see my IP address here) was initiated by MrOllie:

After multiple back-and-forth reverts, my IP was blocked and a “Conflict of Interest on the Noticeboard” was raised by MrOllie where he quickly got the support from his peers on Wikipedia. Dariusz’ comment didn’t change anything in the overall situation:

In parallel, more seasoned Wikipedia users jumped on the bandwagon and started ‘editing’ the article by first blindly reverting the article to the version containing potentially promotional content and then removing even more and more content and references with arguments that, in our perception, didn’t make sense arguing with anymore. Any discussion seemed completely ineffective. After most of the content had been removed from the article, to the point that the new version was more deprived of content than the old version, the user Smartse added a notability tag which was later turned into a notification box to the article stating this article “may not meet Wikipedia’s general notability guideline.”. Notability is a test used by editors to decide whether a given topic warrants its own article. So in our perception this could be interpreted as a threat of removing the article completely. The size and severity of the problem we were confronted with was already obvious at this point.

After my IP was unblocked (or maybe because I just got a new IP from my ISP), I was able to reply on this noticeboard. Since I was already foreseeing it’s going to be deleted, I took a screenshot (this is also the reason why I did screenshots for all other events):

Practically immediately my reply, red-highlighted above, was deleted without any comment or note and this is how this thread looks like afterwards:

Fortunately, Dariusz, who has an account in Wikipedia, got the notification about my added reply via email:

and after clicking within seconds on the link in the email he was informed that the comment might have been deleted, and it sure was, right after it had been added.

Immediately after this, another notification box with “A major contributor to this article appears to have a close connection with its subject.” was added to the article:

and my new IP was blocked for “abusing multiple accounts” and using them for “illegitimate reasons”:

After all these deletions, see the full history of changes

This is how the article looks like in its “final version”:

In retrospect

What seems to have happened here looks like a well coordinated or even (semi-) automated chain of events with a pre-defined replies, arguments and actions. MrOllie stands out for the incredible diligence and regularity of his activity. The chart below shows the number of edits he has made by day of the week and hour (in local time), from 2008 to the present (source of the chart: https://xtools.wmcloud.org):

Also, over 75% of MrOllie’s edits are done in a semi-automated way with the help of tools on Wikipedia like Twinkle. So, this account functions like a programmed algorithm or somebody who is heavily relying on them.

Seeing no reasonable chance of correcting this situation in the context of being deprived of the right to effectively discuss the matters with entities like MrOllie, we gave up on our initial idea to improve the article.

What’s next?

After reading more on this subject we realized that this problem is not new, but apparently it is not common knowledge either. Completely independent of who or what censored us – AI bots (is AI already winning over us?), good or bad editors etc. – trusting Wikipedia now is much harder than before. Still, the question remains about what to do next.

We can completely give up the idea of contributing to this platform and rather focus on other channels like our homepage and other online resources in the KDE and free world (Mastodon, etc) and provide more and more useful information.

Alternatively, we can ask for support from other people with more experience in editing and maybe even with more authority on Wikipedia to help us to get a reasonable description of the project on Wikipedia to the benefit of Wikipedia’s readers and LabPlot’s users.

Thoughts?

Links

For the sake of completeness and of easier usage, here are the links mentioned in my reply that were deleted:

• https://www.reddit.com/r/WikipediaVandalism/comments/154e6zn/please_investigate_mrollie_farm/
• https://www.reddit.com/r/wikipedia/comments/hqiekq/who_is_mrollie/
• https://thomashgreco.medium.com/artificial-intelligence-bots-and-censorship-why-wikipedia-can-no-longer-be-trusted-ded395123ba9
• https://x.com/LifeBeyondD/status/1763935505987629323

Note, for the first two links above, the original posts in the Wikipedia related channels on Reddit about the same MrOllie account on Wikipedia were deleted, shame on those who think evil of this. The comments are still available, though, and the reader can get at least an idea about the original content of those posts.

I want to thank you Dariusz for his contributions to this article.

<strong>Topics covered in this episode:</strong><br> <ul> <li><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"><strong>uv venv</strong></a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"> </a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"><strong>--python</strong></a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"> <strong>&amp; uv python</strong></a></li> <li><strong><a href="https://docs.python.org/release/3.12.5/whatsnew/changelog.html#python-3-12-5">Python 3.12.5 released</a></strong></li> <li><strong><a href="https://blog.rxbc.se/posts/compile-and-use-dependencies-for-multiple-python-versions-in-tox/?featured_on=pythonbytes">Compile and use dependencies for multiple Python versions in Tox</a></strong></li> <li><strong><a href="https://hallofshame.design/collection/?featured_on=pythonbytes">Catalog of Dark Patterns</a></strong></li> <li><strong>Extras</strong></li> <li><strong>Joke</strong></li> </ul><a href='https://www.youtube.com/watch?v=0Sa0z2XXwwk' style='font-weight: bold;'data-umami-event="Livestream-Past" data-umami-event-episode="396">Watch on YouTube</a><br> <p><strong>About the show</strong></p> <p>Sponsored by ScoutAPM: <a href="https://pythonbytes.fm/scout"><strong>pythonbytes.fm/scout</strong></a></p> <p><strong>Connect with the hosts</strong></p> <ul> <li>Michael: <a href="https://fosstodon.org/@mkennedy"><strong>@mkennedy@fosstodon.org</strong></a></li> <li>Brian: <a href="https://fosstodon.org/@brianokken"><strong>@brianokken@fosstodon.org</strong></a></li> <li>Show: <a href="https://fosstodon.org/@pythonbytes"><strong>@pythonbytes@fosstodon.org</strong></a></li> </ul> <p>Join us on YouTube at <a href="https://pythonbytes.fm/stream/live"><strong>pythonbytes.fm/live</strong></a> to be part of the audience. Usually Tuesdays at 10am PT. Older video versions available there too.</p> <p>Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to <a href="https://pythonbytes.fm/friends-of-the-show">our friends of the show list</a>, we'll never share it. </p> <p><strong>Brian #1:</strong> <a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"><strong>uv venv</strong></a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"> </a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"><strong>--python</strong></a><a href="https://github.com/astral-sh/uv/blob/0.2.35/docs/concepts/python-versions.md?featured_on=pythonbytes"> <strong>&amp; uv python</strong></a></p> <ul> <li>I was reading this article <a href="https://dev.to/astrojuanlu/python-packaging-is-great-now-uv-is-all-you-need-4i2d?featured_on=pythonbytes">Python Packaging is Great Now:</a><a href="https://dev.to/astrojuanlu/python-packaging-is-great-now-uv-is-all-you-need-4i2d?utm_source=pocket_shared&featured_on=pythonbytes"> </a><a href="https://dev.to/astrojuanlu/python-packaging-is-great-now-uv-is-all-you-need-4i2d?utm_source=pocket_shared&featured_on=pythonbytes"><code>uv</code></a><a href="https://dev.to/astrojuanlu/python-packaging-is-great-now-uv-is-all-you-need-4i2d?utm_source=pocket_shared&featured_on=pythonbytes"> is all you need</a></li> <li>It’s a little too “look, a silver bullet” for me, but it did point out some cool uv stuff I didn’t know about. <ul> <li>uv venv venv --python 3.12 creates a virtual environment with Python 3.12, <ul> <li>even if you didn’t have 3.12 installed on your system already.</li> <li>If it doesn’t work, try adding --python-preference managed</li> </ul></li> <li>uv python list shows all the python versions on your computer</li> <li>There’s quite a few “experimental features” <ul> <li><strong>run</strong> Run a command or script (experimental)</li> <li><strong>init</strong> Create a new project (experimental)</li> <li><strong>add</strong> Add dependencies to the project (experimental)</li> <li><strong>remove</strong> Remove dependencies from the project (experimental)</li> <li><strong>sync</strong> Update the project's environment (experimental)</li> <li><strong>lock</strong> Update the project's lockfile (experimental)</li> <li><strong>tree</strong> Display the project's dependency tree (experimental)</li> <li><strong>tool</strong> Run and manage tools provided by Python packages (experimental)</li> <li><strong>python</strong> Manage Python versions and installations (experimental)</li> </ul></li> </ul></li> <li>uv add --dev pytest will add pytest to your dev dependencies.</li> <li>uv tree rocks</li> <li>uv might not have “solved packaging” (or maybe it might have) <ul> <li>but it sure is fun to watch the experimentation of different workflows.</li> </ul></li> </ul> <p><strong>Michael #2:</strong> <a href="https://docs.python.org/release/3.12.5/whatsnew/changelog.html#python-3-12-5">Python 3.12.5 released</a></p> <ul> <li>Lots of changes, see the <a href="https://docs.python.org/release/3.12.5/whatsnew/changelog.html#python-3-12-5">release notes</a></li> </ul> <p><strong>Brian #3:</strong> <a href="https://blog.rxbc.se/posts/compile-and-use-dependencies-for-multiple-python-versions-in-tox/?featured_on=pythonbytes">Compile and use dependencies for multiple Python versions in Tox</a></p> <ul> <li>Viktor Rimark</li> <li>Cool idea to use the {envname}, which specifies the tox environment, in the name of a requirements-dev.txt file name.</li> <li>Then add a requirements tox target to generate pip-compile-ed files.</li> <li>Now I gotta try doing all of this with uv lock</li> <li>Then we need everyone to mod their tools to comply with <a href="https://peps.python.org/pep-0751/?featured_on=pythonbytes">PEP 571</a>, when/if it’s adopted (covered it last week)</li> </ul> <p><strong>Michael #4:</strong> <a href="https://hallofshame.design/collection/?featured_on=pythonbytes">Catalog of Dark Patterns</a></p> <ul> <li>Including <ul> <li>Bait and Switch</li> <li>Confirm Shaming</li> <li>Disguised Ads</li> <li>Roach Motel</li> <li>Fake Scarcity</li> <li>…</li> </ul></li> </ul> <p><strong>Extras</strong> </p> <p>Brian:</p> <ul> <li>Recording of <a href="https://courses.pythontest.com/hello-pytest?featured_on=pythonbytes">Hello, pytest!</a> is done. Editing now. On track for the 19th (or before).</li> </ul> <p>Michael:</p> <ul> <li><a href="https://www.djangoproject.com/weblog/2024/aug/07/django-51-released/?featured_on=pythonbytes">Django 5.1</a> released</li> <li><a href="https://blog.python.org/2024/08/python-3130-release-candidate-1-released.html?featured_on=pythonbytes">Python 3.13.0 release candidate 1</a> released</li> </ul> <p><strong>Joke:</strong> </p> <ul> <li><a href="https://clownstrike.lol/?featured_on=pythonbytes">clownstrike</a> <ul> <li><a href="https://arstechnica.com/tech-policy/2024/08/parody-site-clownstrike-refused-to-bow-to-crowdstrikes-bogus-dmca-takedown?featured_on=pythonbytes">ARS Technica article on DMCA for ClownStrike</a></li> </ul></li> </ul>

It’s hectic and time-consuming when it comes to making something that takes a long time. Yes, we are talking about CSS stylesheets. It’s not easy to design a website because it’s not ‘effortless’. 

In this blog, we will talk about the Integration of Drupal and Tailwood CSS to make this process a little bit easier for you. 

A brief About Tailwind CSS

Tailwind CSS adopts a utility-first approach rather than building a class for the component. Tailwind CSS is a utility-first approach that makes creating applications faster and easier

Tailwind CSS offers limited benefits but assures you the flexibility and power to create your unique site. 

Imagine delivering faster, more accurate search results to your users. Apache Solr makes that possible. Built on Apache Lucene, this open-source search platform powers enterprise-level search and analytics. It’s not just about speed—Solr's advanced features like full-text search, hit highlighting, faceted search,  real-time indexing, and more can significantly enhance your business's data handling and customer experience. In this article, you’ll learn how to set up Apache Solr on Ubuntu within a Lando environment and configure it with the Search API. By the end, you'll understand how to leverage Solr's powerful search capabilities to enhance your Drupal website’s performance and user experience. What You’ll Need Ubuntu Server (20.04 or Later): Ensure you have a server running Ubuntu 20.04 or a more recent version. Java Development Kit (JDK) or Java Runtime Environment (JRE): Apache Solr requires either JDK or JRE to function properly. Make sure Java is installed on your server. Terminal/Command Line Access: You'll need access to a terminal or command line interface to execute commands during the setup. Familiarity with Linux Commands: Basic knowledge of Linux commands is essential to navigate and configure the server efficiently. Setting Up : A Step-by-Step Process Step 1: Update the System Before diving into the installation, it's crucial to ensure your system is up-to-date. This helps prevent compatibility issues and ensures you have the latest security patches. Open the terminal and execute the following command: sudo apt-get update && sudo apt-get upgrade -y Updating your system's package list before installing new packages is always recommended. This command updates your package list and upgrades any outdated packages. Step 2: Install Java Apache Solr requires Java to run. To get started, you'll need to install the Java Development Kit (JDK). sudo apt-get install default-jdk -y Verify Installation: java -version Once installed, verify the Java installation to ensure it's set up correctly. Java is essential for running Solr, so make sure this step is completed without errors. Step 3: Download and Install Solr Next, you'll download the latest version of Apache Solr and install it on your server with this command: wget https://downloads.apache.org/lucene/solr/8.11.3/solr-8.11.3.tgz Extract the downloaded archive: tar xzf solr-8.11.3.tgz Navigate to the Solr installation script directory: cd solr-8.11.3/bin/ Run the installation script with sudo: sudo ./install_solr_service.sh ../solr-8.11.3.tgz Looking to enhance your Drupal site’s performance even further? Our expert team specializes in custom Drupal development and can help you optimize your search functionality for better user engagement. Step 4: Start and enable Solr Service After Solr is installed, you need to start the Solr service and enable it to start automatically on system boot. sudo systemctl start solrsudo systemctl enable solr Starting the Solr service allows it to begin running on your server. Enabling the service ensures it starts automatically whenever your server reboots, ensuring Solr is always available. Step 5: Configure Solr for Your Drupal Project To integrate Solr with your Drupal project, you'll need to modify the .lando.yml file. Add the Following Code to .lando.yml: services:   search:     type: solr:8     config:       dir: ./solr_8.x     core: drupal     portforward: trueAfter adding the above code, run the following command to rebuild your Lando environment: lando rebuild Step 6: Install & Configure Search API Solr With Solr configured, the next step is to install and enable the Search API Solr module in your Drupal project. Use Composer to install the Search API Solr module.lando composer require 'drupal/search_api_solr:^4.3'  Enable the module by navigating to admin > Extend > Search API Solr or running this command from the terminal:lando drush en search_api_solr  After enabling go to Configuration > Search and metadata > Search API Click on Add server to configure Solr as your search server and save the configuration. How to Add a Search Index Now, let’s create a search index that will allow your site to use Solr for searching content. Navigate to Add index within the Search API configuration. Choose a name for your index. Pick the datasources from which Solr will pull content. Choose the Solr server you configured earlier. Click on Save to save the configuration. After setting up the index, you'll need to configure the fields that Solr will index. Navigate to the Fields tab. Click Add fields and select fields like Title and Body. Add content fields based on your requirements, then save the changes. Access the newly created index and click on Index Now to begin indexing your site’s content. Enable Highlighting in Apache Solr To enhance user experience, enable highlighting in Solr to emphasize matching search terms. Steps: Go to the Processors tab in the Search API configuration. Check the Highlight option. Configure the settings as needed and save the configuration. Highlighting will make it easier for users to see relevant search terms in the search results, improving the overall usability of your site. Final Thoughts By following these steps, you'll have a fully operational Solr search setup, optimized for integration with Drupal. This setup not only improves search performance but also enhances the user experience by delivering faster and more relevant search results. Need help with your Drupal setup? Our Drupal development services can assist with fine-tuning your search functionality. Reach out for expert support.

Today we are talking about DIY Site Builders, what are the benefits over Drupal (If Any), and When using Drupal makes sense with guest Ivan Stegic. We’ll also cover Drupal 11 as our module of the week.

For show notes visit: www.talkingDrupal.com/463

Topics

• What is a DIY site builder
• Does TEN7 use DIY site builders
• How are DIY site builders better than Drupal
• Are they less expensive than Drupal
• HAve you ever suggested a site builder to a client
• What does a migration from a site builder look like
• Do you think starshot will make Drupal competitive with site builders

Resources

• Workspaces Extra
• Talking Drupal 451 - Just say Drupal
• Shopify
• Webflow
• Wix
• Squarespace
• Wordpress vip
• Cosmic.build
• Preshow:
  • Eurion constellation

Guests

Ivan Stegic - ten7.com ivanstegic

Hosts

Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Josh Miller - joshmiller

MOTW Correspondent

Martin Anderson-Clutz - mandclu.com mandclu

• Brief description:
  • Have you been wanting a version of Drupal that can use Workspaces, Recipes, and Single Directory Components, while running all the latest versions of its underlying technologies? Drupal 11 is all of that and more
• Module name/project name:
  • Drupal 11
• Brief history
  • How old: created on Aug 2 by catch of Tag1 and Third & Grove
• Module features and usage
  • Limited additions vs 10.3: by design to make the transition easier
    • Mostly in the recipes API, e.g. new config actions
  • Recap of new features vs. 10.0
    • Workspaces
    • Revisions and workflow are possible in the UI for Blocks and Taxonomy Terms
    • UI updates for creating and reusing fields, as well as bulk content operations
    • New Access Policy API and Single Directory Components
    • New Navigation and Announcements Feed modules
  • Contrib support out of the gate: about ⅔ of the top 200 modules already support Drupal 11
    • Adding modules that Rector estimates will only need info.yml or automated fixes brings us to over 80% of the top 200, or about 75% of all Drupal 10-compatible projects on Drupal.org
  • Updated dependencies: PHP 8.3, Symfony 7, CKEditor 5 42.0,2, Twig 3.9, Yarn 4, jQuery 4.0.0-beta, jQuery UI 1.14-beta.2 and more
  • Modules moved to contrib (smaller core):
    • Actions UI
    • Activity Tracker
    • Book
    • Forum
    • Statistics
    • Tour
  • Drupal 10 will receive maintenance support until mid-2026, so the community created this release of Drupal 11 early to give sites as much time as possible to make the transition, in this case almost 2 years!

Another loss last week of a friend. I am staying strong and working through it. A big thank you to all of you that have donated to my car fund, I still have a long way to go. I am not above getting a cheap old car, but we live in sand dunes so it must be a cheap old car with 4×4 to get to my property. A vehicle is necessary as we are 50 miles away from staples such as food and water. We also have 2 funerals to attend. Please consider a donation if my work is useful to you. https://gofund.me/1e784e74 All of my work is currently unpaid work, as I am between contracts. Thank you for your consideration. Now onto the good stuff, last weeks work. It was another very busy week with Qt6 packaging in Debian/Kubuntu and KDE snaps. I also have many SRUs for Kubuntu Noble .1 release that needs their verification done.

Kubuntu:

• See Debian for the qt6 Plasma / applications work.
• Many SRUs in verification stage, please help test these: https://wiki.ubuntu.com/StableReleaseUpdates#Verification
• https://bugs.launchpad.net/ubuntu/+source/tellico/+bug/2065915 – needs testing on ARM and there are many packages in that bug.
• https://bugs.launchpad.net/ubuntu/+source/kubuntu-meta/+bug/2065465 Fix systray icons for third party apps like spotify
• https://bugs.launchpad.net/ubuntu/+source/plasma-workspace/+bug/1629543 Lightdm login manager crash when plasma selected.
• https://bugs.launchpad.net/ubuntu/+source/ark/+bug/2068491 Opening 7zip files in ark.
• https://bugs.launchpad.net/ubuntu/+source/merkuro/+bug/2063936 Merkuro fails to start. Verification done, but more testers welcome.
• https://bugs.launchpad.net/bugs/2066275 SDDM fails to boot after second boot. This SRU has been released!
• https://bugs.launchpad.net/ubuntu/+source/neochat/+bug/2061116 Neochat fails to start.

Debian:

Starting the salvage process for kdsoap which is blocking a long line of packages, notably kio-extras.

• qtmpv – in NEW
• arianna – in NEW
• xwaylandvideobridge – NEW
• futuresql – NEW
• kpat WIP – failing tests
• kdegraphics-thumbnailers (WIP)
• khelpcenter – experimental
• kde-inotify-survey – experimental
• ffmpegthumbs – experimental
• kdialog – experimental
• kwalletmanager – experimental
• libkdegames – pushed some fixes – experimental
• Tokodon – Done, but needs qtmpv to pass NEW
• Gwenview – WIP needs – kio-extras (blocked)

KDE Snaps:

Please note: Please help test the –edge snaps so I can promote them to stable.

• Arianna stable https://snapcraft.io/arianna
• Kfind stable https://snapcraft.io/kfind
• Kclock –edge https://snapcraft.io/kclock
• Kigo –edge https://snapcraft.io/kigo
• Kimagemapeditor –edge https://snapcraft.io/kimagemapeditor
• Kspacedual –edge https://snapcraft.io/kspaceduel
• Picmi –edge https://snapcraft.io/picmi
• lskat –edge https://snapcraft.io/lskat
• Ksudoku –edge https://snapcraft.io/ksudoku
• Ksquares –edge https://snapcraft.io/ksquares
• Juk –edge https://snapcraft.io/juk
• Kalgebra –edge https://snapcraft.io/kalgebra
• Ktuberling –edge https://snapcraft.io/ktuberling
• Ruqola –edge https://snapcraft.io/ruqola

WIP Snaps or MR’s made

• Kirigami-gallery ( building )
• Kiriki (building)
• Kiten (building)
• kjournald (Building)
• Kdevelop (WIP)
• Kdenlive (building)
• KHangman (WIP)
• Kubrick (WIP)
• Palapeli (Manual review in store dbus)
• Kanagram (WIP)
• Labplot (WIP)
• Kjumpingcube (MR)
• Klettres (MR)
• Kajongg –edge (Broken, problem with pyqt)
• Dragon –edge ( Broken, dbus fails)
• Ghostwriter –edge ( Broken, need to workout Qt webengine obscure way of handling hunspell dictionaries.)
• Kasts –edge ( Broken, portal failure, testing some plugs)
• Kbackup –edge ( Needs auto-connect udisks2, added home plug)
• Kdebugsettings –edge ( Added missing personal-files plug, will need approval)
• KDiamond –edge ( sound issues )
• Angelfish –edge https://snapcraft.io/angelfish ( Crashes on first run, but runs fine after that.. looking into it)
• Qrca –edge ( needs snap connect qrca:camera camera until auto-connect approved, will remain in –edge until official release)

Thanks for stopping by.

Another loss last week of a friend. I am staying strong and working through it. A big thank you to all of you that have donated to my car fund, I still have a long way to go. I am not above getting a cheap old car, but we live in sand dunes so it must be a cheap old car with 4×4 to get to my property. A vehicle is necessary as we are 50 miles away from staples such as food and water. We also have 2 funerals to attend. Please consider a donation if my work is useful to you. https://gofund.me/1e784e74 All of my work is currently unpaid work, as I am between contracts. Thank you for your consideration. Now onto the good stuff, last weeks work. It was another very busy week with Qt6 packaging in Debian/Kubuntu and KDE snaps. I also have many SRUs for Kubuntu Noble .1 release that needs their verification done.

Kubuntu:

• See Debian for the qt6 Plasma / applications work.
• Many SRUs in verification stage, please help test these: https://wiki.ubuntu.com/StableReleaseUpdates#Verification
• https://bugs.launchpad.net/ubuntu/+source/tellico/+bug/2065915 – needs testing on ARM and there are many packages in that bug.
• https://bugs.launchpad.net/ubuntu/+source/kubuntu-meta/+bug/2065465 Fix systray icons for third party apps like spotify
• https://bugs.launchpad.net/ubuntu/+source/plasma-workspace/+bug/1629543 Lightdm login manager crash when plasma selected.
• https://bugs.launchpad.net/ubuntu/+source/ark/+bug/2068491 Opening 7zip files in ark.
• https://bugs.launchpad.net/ubuntu/+source/merkuro/+bug/2063936 Merkuro fails to start. Verification done, but more testers welcome.
• https://bugs.launchpad.net/bugs/2066275 SDDM fails to boot after second boot. This SRU has been released!
• https://bugs.launchpad.net/ubuntu/+source/neochat/+bug/2061116 Neochat fails to start.

Debian:

Starting the salvage process for kdsoap which is blocking a long line of packages, notably kio-extras.

• qtmpv – in NEW
• arianna – in NEW
• xwaylandvideobridge – NEW
• futuresql – NEW
• kpat WIP – failing tests
• kdegraphics-thumbnailers (WIP)
• khelpcenter – experimental
• kde-inotify-survey – experimental
• ffmpegthumbs – experimental
• kdialog – experimental
• kwalletmanager – experimental
• libkdegames – pushed some fixes – experimental
• Tokodon – Done, but needs qtmpv to pass NEW
• Gwenview – WIP needs – kio-extras (blocked)

KDE Snaps:

Please note: Please help test the –edge snaps so I can promote them to stable.

• Arianna stable https://snapcraft.io/arianna
• Kfind stable https://snapcraft.io/kfind
• Kclock –edge https://snapcraft.io/kclock
• Kigo –edge https://snapcraft.io/kigo
• Kimagemapeditor –edge https://snapcraft.io/kimagemapeditor
• Kspacedual –edge https://snapcraft.io/kspaceduel
• Picmi –edge https://snapcraft.io/picmi
• lskat –edge https://snapcraft.io/lskat
• Ksudoku –edge https://snapcraft.io/ksudoku
• Ksquares –edge https://snapcraft.io/ksquares
• Juk –edge https://snapcraft.io/juk
• Kalgebra –edge https://snapcraft.io/kalgebra
• Ktuberling –edge https://snapcraft.io/ktuberling
• Ruqola –edge https://snapcraft.io/ruqola

WIP Snaps or MR’s made

• Kirigami-gallery ( building )
• Kiriki (building)
• Kiten (building)
• kjournald (Building)
• Kdevelop (WIP)
• Kdenlive (building)
• KHangman (WIP)
• Kubrick (WIP)
• Palapeli (Manual review in store dbus)
• Kanagram (WIP)
• Labplot (WIP)
• Kjumpingcube (MR)
• Klettres (MR)
• Kajongg –edge (Broken, problem with pyqt)
• Dragon –edge ( Broken, dbus fails)
• Ghostwriter –edge ( Broken, need to workout Qt webengine obscure way of handling hunspell dictionaries.)
• Kasts –edge ( Broken, portal failure, testing some plugs)
• Kbackup –edge ( Needs auto-connect udisks2, added home plug)
• Kdebugsettings –edge ( Added missing personal-files plug, will need approval)
• KDiamond –edge ( sound issues )
• Angelfish –edge https://snapcraft.io/angelfish ( Crashes on first run, but runs fine after that.. looking into it)
• Qrca –edge ( needs snap connect qrca:camera camera until auto-connect approved, will remain in –edge until official release)

Thanks for stopping by.

Join the FSF and friends on Friday, August 16 from 12:00 to 15:00 EDT (16:00 to 19:00 UTC) to help improve the Free Software Directory.

Offering a wide range of new and improved functionality, including Hugging Face integration, new AI Assistant features, a new default UI, and an overall better user experience, PyCharm 2024.2 is a must for anyone looking to increase their productivity. 

Learn about all the updates on our What’s New page, download the latest version from our website, or update your current version through our free Toolbox App.

Download PyCharm 2024.2 PyCharm 2024.2 key features Databricks integration PRO

PyCharm now provides direct integration with Databricks via a plugin. You can connect to a Databricks cluster, execute scripts and notebooks as workflows, execute files directly in a Spark shell on a cluster, and monitor the progress – all from the comfort of your IDE.

This integration allows you to harness the power of your IDE when working with Databricks, making the process faster and easier. 

Hugging Face integration PRO

PyCharm 2024.2 can now suggest the most relevant Hugging Face models based on your use case. When you select a model, the IDE will suggest inserting a code snippet that allows you to use it directly in the open file, and PyCharm will download and install any missing dependencies automatically.

You can also identify unused models installed on your machine and delete them to free up disk space directly from the IDE. 

Additionally, you can inspect your Hugging Face Datasets library data as an interactive dataframe, utilizing features like the chart view, pagination, and the ability to sort and export tables.

Read more Jupyter notebooks PRO

Instantly preview the value of a chosen variable simply by hovering over the variable’s line. You no longer need to use the debugger or print statements!

Furthermore, you can now expand and collapse cells, as well as run them straight from the gutter. Additionally, cells now display their statuses and assigned tags.

All these improvements are designed to make working with Jupyter notebooks in PyCharm seamless, fast, and efficient. 

AI cells in Jupyter notebooks

With our new AI cell option, you can add prompts directly inside your notebooks and work with AI Assistant right from there. A light bulb icon next to the AI cell provides suggestions about the next steps in your data analysis workflow.

One-click dataframe visualization

Visualize your dataframes with the help of AI Assistant, which now provides suggestions about the graphs and plots most suitable to your context.

AI Assistant

JetBrains AI Assistant 2024.2 enhances cloud-based code completion with faster, more accurate suggestions and a better UX, including syntax highlighting and the option to accept suggestions incrementally. The AI chat now uses the latest GPT-4o model and supports chat references and semantic search. 

New features include AI integration in the Terminal tool window for command generation, AI-assisted VCS conflict resolution, and customizable prompts for documentation and unit test creation.

Learn about these and other AI Assistant enhancements in this dedicated blog post.

Database tools PRO New AI Assistant features 

With the text-to-SQL feature, you can generate SQL code directly in the editor by clicking Generate Code with AI and entering your prompt. You can accept, regenerate, or refine the code, and take it to the AI chat if you have further questions.

Additionally, AI Assistant can help with modifying tables, allowing you to request changes like switching all VARCHAR data types to CHAR.

It can also help you understand and fix SQL problems, suggesting explanations and fixes. 

Read more User experience Preview option in Search Everywhere

The Search Everywhere dialog now includes an option to preview the codebase elements you’re searching for, offering additional context and making it easier to navigate through your project.

Improved full line code completion PRO

In 2024.2, full line code completion suggestions now include code highlighting, and new shortcuts allow you to accept individual words or entire lines from longer suggestions. We’ve also refined how accepted changes are integrated into your code, eliminating any formatting issues.

Run/Debug String variable visualizers for JSON, XML, and other formats

Debugging and browsing long string variables with complex data formats is now much easier. The updated debugger offers properly formatted visualizations for string variables with strings encoded in JSON, XML, HTML, JWT, and URL.

Frameworks and technologies PRO GraalJS as the execution engine for the HTTP Client 

We’ve upgraded the JavaScript execution engine used in the HTTP Client to GraalJS. This allows you to use all GraalJS features, including full support for the ECMAScript 2023 specification, when testing endpoints with PyCharm’s HTTP Client and using JavaScript in .http files to handle the results.

HTTP Client improvements

In the HTTP Client, we’ve added XPath functionality for querying and manipulating XML and HTML documents, support for iterating through collections using JSONPath to automate requests, and the ability to create and add custom API methods effortlessly. 

Enhanced Terraform support 

We’ve enhanced PyCharm’s Terraform support with full line code completion, improved context-aware code completion, refined syntax highlighting, and better error detection with quick-fix suggestions. Additionally, a quick documentation feature now provides instant tooltips, offering immediate information to streamline your Terraform workflow.

Frontend PRO Improved support for major web frameworks

PyCharm can now resolve paths for frameworks that use file-system-based routing. It can also resolve link paths based on your project’s file system, providing autocompletion and navigation for Next.js, Nuxt, SvelteKit, and Astro. There is also support for new Svelte 5 snippets and render tags. 

Additionally, we’ve implemented language server protocol (LSP) support for Astro and upgraded the Vue LSP to Vue Language Service v2, improving code completion and the overall developer experience.

Ability to run and debug TypeScript files directly

You can now run and debug TypeScript files from different entry points, including the file context menu, the Run widget, and the Current File configuration. 

Remote development PRO Reverse port forwarding

With reverse port forwarding, you can now connect a remote IDE to ports available on the client machine. This is particularly useful for mobile development and connecting to local databases.

Download PyCharm 2024.2

These are all the key features of this release, but there’s much more to explore! Visit our What’s New page or release notes for the full breakdown and additional details about the features mentioned here. 

If you encounter any problems, please report them in our issue tracker so we can address them promptly. 

Connect with us on X (formerly Twitter) to share your thoughts on PyCharm 2024.2. We’re looking forward to hearing them!

In July, there was some exciting news for the Python community as the Python core development team released versions 3.13.0b4 and 3.13.0rc1 of the language. The 3.13.0b4 release marked the end of the beta phase and paved the way for the release candidate phase.

Note that 3.13.0rc1 is a pre-release, so you shouldn’t use it for production environments. However, it provides a great way to try some new and exciting language features.

There’s also great some news from the Python Software Foundation, PyOhio 2024, and the Python ecosystem.

Let’s dive into the most exciting Python news from last month!

Python 3.13.0b4 and 3.13.0rc1

Python 3.13 has reached its fourth beta release, marking the end of the beta phase. Beta releases serve to test new features and bug fixes. However, it’s important to note that this is a preview release and it isn’t recommended for use in production environments.

If you’re a library maintainer, you’re encouraged to test your code with this new version so you can prepare it to support the latest features of the language.

Note: To learn more about pre-releases, check out the How Can You Install a Pre-Release Version of Python? tutorial.

One of the most significant new features of Python 3.13 is the improved interactive interpreter or REPL, which now provides several cool features, including:

• Colorized prompts
• Multiline editing with history preservation
• Interactive help browsing with F1 and a separate command history
• History browsing with F2
• Paste mode for larger blocks of code with F3
• REPL-specific commands like help, exit, and quit without the call parentheses

This is exciting news! The standard REPL up until Python 3.13 was lacking, and sometimes it was necessary to install a third-party tool like bpython or IPython to compensate.

Again, with this release, the beta phase has officially ended, and the first release candidate—3.13.0rc1—is considered the penultimate release preview. In this release candidate phase, only bug fixes are allowed.

The second candidate, which is the last planned release preview, should be out on September 3, 2024, and the official release of 3.13 should be ready on October 1, 2024. Only more excitement lies ahead!

The Python Software Foundation (PSF) Shares Great News Read the full article at https://realpython.com/python-news-august-2024/ »

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The Textual package is a great way to create GUI-like applications with Python in your terminal. These are known as text-based user interfaces or TUIs. Textual has many different widgets built-in to the framework.

One of those widgets is the ProgressBar. If you need to show the progress of a download or long-running process, then you will probably want to use a progress bar or some kind of spinner widget to show the user that your application is working.

This tutorial will show you how to create a simple progress bar with Textual!

Installation

If you do not have Textual installed yet, you can get it by using Python’s handy pip tool. Open up your terminal and run the following command there:

python -m pip install textual

Textual will get installed, along with all its dependencies. You may want to create a virtual environment first and install Textual there.

Creating a ProgressBar in Textual

Creating a progress bar with Textual is pretty straightforward. The following code is based on an example from the Textual documentation. The main difference is that this version uses a button to start the timer, simulating a download or some other long-running process rather than catching a key event.

You can copy this code into your favorite Python editor and give it a quick study:

# progressbar_demo.py from textual.app import App, ComposeResult from textual.containers import Center, Middle from textual.timer import Timer from textual.widgets import Button, ProgressBar class Progress(App[None]): timer = Timer def compose(self) -> ComposeResult: with Center(): with Middle(): yield ProgressBar() yield Button("Start") def on_mount(self) -> None: """ Set up the timer to simulate progress """ self.timer = self.set_interval(1 / 10, self.advance_progressbar, pause=True) def advance_progressbar(self) -> None: """ Called to advance the progress bar """ self.query_one(ProgressBar).advance(1) def on_button_pressed(self) -> None: """ Event handler that is called when button is pressed """ self.query_one(ProgressBar).update(total=100) self.timer.resume() if __name__ == "__main__": app = Progress() app.run()

The compose() method is kind of fun as it uses both the Center() and the Middle() containers to position the widgets in the middle of the terminal. You then set up the timer object in on_mount() and you start the timer in on_button_pressed()which is the Button widget’s event handler.

When you run this code, you will initially see what’s known as an indeterminate progress bar. What that means is that Textual doesn’t have any information about how long the progress is, so the progress bar just shows a kind of “bouncing” or “cycling” progress:

When you press the “Start” button, you will see the progress bar go from 0-100%, and the text fields to the right will update as well:

If you want to make your progress bar stand out, add a gradient. A gradient will make the colors of the progress bar change over time and make the widget look neat!

Wrapping Up

Adding a progress bar or simply showing some kind of informational widget that lets the user know your application is working is always a good idea. You don’t want the user to think the application has crashed or frozen. The user might be forced to close the application and lose their information after all!

Fortunately, Textual makes adding a progress bar easy. Not only is it easy, but the progress bar is easy to update so you can accurately give the user a sense of when the work will be done. Give it a try and see what you think!

Related Reading

Want to learn more about Textual? Check out the following articles:

• An Intro to Textual – Creating Text User Interfaces with Python

• Textual 101 – Using the TabbedContent Widget

• Using CSS to Style a Python TUI with Textual

The post Creating Progress Bars in Your Terminal with Python and Textual appeared first on Mouse Vs Python.