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During the last month we focused on fixing bugs, improving the behaviour of things, speeding-up performance issues - building on the changes from our last release. We also added some new features which we would like to introduce to you in this newsletter.

For an in depth overview of the Tryton issues please take a look at our issue tracker or see the issues and merge requests filtered by label.

Changes for the User Sales, Purchases and Projects

We’ve now added optional reference and warehouse fields to the purchase_request_quotation list view.

Accounting, Invoicing and Payments

We now allow users in the account admin group to update the invoice line descriptions in a revised invoice.

Until now a direct debit was created for each unpaid line. However, this may not be wanted when there are many payable lines. In these cases the company may want to have a single direct debit for the total amount of the payable lines. So, we’ve now introduced an option to define if a recept of a direct debit should be based on the lines or the balance.

Stock, Production and Shipments

Now we’ve extend the lot trace information by moves generated from an inventory. This way we are able to show the origin of a lot.

We removed the default planned date on supplier shipments.

User Interface

It is now possible for the users to resize the preview panel of attachments.

Now users are able to type search filters immediately after opening a screen with a search entry.

System Data and Configuration

We’ve added the following party identifiers:

• Taiwanese Tax Number
• Turkish tax identification number
• El Salvador Tax Number
• Singapore’s Unique Entity Number
• Montenegro Tax Number
• Kenya Tax Number

New Documentation

The documentations for the following modules has been improved:

• account_be
• account_asset
• account_eu
• account_deposit
• account_de_skr03
• account_fr
• notification_email module
• stock_lot

We’ve added a warning that because the database is modified in place it is important to make a backup before running an update.

We’ve migrated what were previously links to the configuration section to config-anchors like this :ref:trytond:topics-configuration.

New Releases

We released bug fixes for the currently maintained long term support series
7.0 and 6.0, and for the current series 7.2.

Changes for the System Administrator

Now when running trytond-admin with the --indexes argument but without any modules to update, the indexes of all models are updated.

Changes for Implementers and Developers

We are now able to run tests with PYTHONWARNINGS="error" to catch future issues earlier. Warnings from third-party-libraries can be ignored by the filters defined in the TEST_PYTHONWARNINGS environment variable.

Authors: @dave @pokoli @udono

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 I'm pleased to announce the release of Python 3.13 release candidate 1.

https://www.python.org/downloads/release/python-3130rc1/

 

This is the first release candidate of Python 3.13.0

This release, 3.13.0rc1, is the penultimate release preview. Entering the release candidate phase, only reviewed code changes which are clear bug fixes are allowed between this release candidate and the final release. The second candidate (and the last planned release preview) is scheduled for Tuesday, 2024-09-03, while the official release of 3.13.0 is scheduled for Tuesday, 2024-10-01.

There will be no ABI changes from this point forward in the 3.13 series, and the goal is that there will be as few code changes as possible.

Call to action

We strongly encourage maintainers of third-party Python projects to prepare their projects for 3.13 compatibilities during this phase, and where necessary publish Python 3.13 wheels on PyPI to be ready for the final release of 3.13.0. Any binary wheels built against Python 3.13.0rc1 will work with future versions of Python 3.13. As always, report any issues to the Python bug tracker.

Please keep in mind that this is a preview release and while it’s as close to the final release as we can get it, its use is not recommended for production environments.

Core developers: time to work on documentation now

• Are all your changes properly documented?
• Are they mentioned in What’s New?
• Did you notice other changes you know of to have insufficient documentation?

 Major new features of the 3.13 series, compared to 3.12

Some of the new major new features and changes in Python 3.13 are:

New features

• A new and improved interactive interpreter, based on PyPy’s, featuring multi-line editing and color support, as well as colorized exception tracebacks.
• An experimental free-threaded build mode, which disables the Global Interpreter Lock, allowing threads to run more concurrently. The build mode is available as an experimental feature in the Windows and macOS installers as well.
• A preliminary, experimental JIT, providing the ground work for significant performance improvements.
• The locals() builtin function (and its C equivalent) now has well-defined semantics when mutating the returned mapping, which allows debuggers to operate more consistently.
• The (cyclic) garbage collector is now incremental, which should mean shorter pauses for collection in programs with a lot of objects.
• A modified version of mimalloc is now included, optional but enabled by default if supported by the platform, and required for the free-threaded build mode.
• Docstrings now have their leading indentation stripped, reducing memory use and the size of .pyc files. (Most tools handling docstrings already strip leading indentation.)
• The dbm module has a new dbm.sqlite3 backend that is used by default when creating new files.
• The minimum supported macOS version was changed from 10.9 to 10.13 (High Sierra). Older macOS versions will not be supported going forward.
• WASI is now a Tier 2 supported platform. Emscripten is no longer an officially supported platform (but Pyodide continues to support Emscripten).
• iOS is now a Tier 3 supported platform, with Android on the way as well.

Typing

• Support for type defaults in type parameters.
• A new type narrowing annotation, typing.TypeIs.
• A new annotation for read-only items in TypeDicts.
• A new annotation for marking deprecations in the type system.

Removals and new deprecations

• PEP 594 (Removing dead batteries from the standard library) scheduled removals of many deprecated modules: aifc, audioop, chunk, cgi, cgitb, crypt, imghdr, mailcap, msilib, nis, nntplib, ossaudiodev, pipes, sndhdr, spwd, sunau, telnetlib, uu, xdrlib, lib2to3.
• Many other removals of deprecated classes, functions and methods in various standard library modules.
• C API removals and deprecations. (Some removals present in alpha 1 were reverted in alpha 2, as the removals were deemed too disruptive at this time.)
• New deprecations, most of which are scheduled for removal from Python 3.15 or 3.16.

(Hey, fellow core developer, if a feature you find important is missing from this list, let Thomas know.)

For more details on the changes to Python 3.13, see What’s new in Python 3.13. The next pre-release of Python 3.13 will be 3.13.0rc2, the final release candidate, currently scheduled for 2024-09-03.

 More resources

• Online Documentation
• PEP 719, 3.13 Release Schedule
• Report bugs at Issues · python/cpython · GitHub.
• Help fund Python directly (or via GitHub Sponsors), and support the Python community.

 Enjoy the new releases

Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation.

Whatevs,

Your release team,
Thomas Wouters
Łukasz Langa
Ned Deily
Steve Dower

Enhancing urban understanding through interactive mapping for NSW Government Project background In NSW, where the architectural landscape boasts a vibrant mix of low density single detached dwellings and high-rise apartment buildings, low- and mid-rise housing have become underrepresented  in new development planning. Recognising this gap, Government Architect NSW (GANSW), a part of NSW Department of Planning, Housing ... Good Design for Housing – NSW Gov digital map case study

A new minor release 0.4.24 of RQuantLib arrived on CRAN this afternoon (just before the CRAN summer break starting tomorrow), and has been uploaded to Debian too.

QuantLib is a rather comprehensice free/open-source library for quantitative finance. RQuantLib connects (some parts of) it to the R environment and language, and has been part of CRAN for more than twenty-one years (!!) as it was one of the first packages I uploaded.

This release of RQuantLib follows the recent release from last week which updated to QuantLib version 1.35 released that week, and solidifies conditional code for older QuantLib versions in one source file. We also updated and extended the configure source file, and increased the mininum version of QuantLib to 1.25.

Changes in RQuantLib version 0.4.24 (2024-07-31)

• Updated detection of QuantLib libraries in configure

• The minimum version has been increased to QuantLib 1.25, and DESCRIPTION has been updated to state it too

• The dividend case for vanilla options still accommodates deprecated older QuantLib versions if needed (up to QuantLib 1.25)

• The configure script now uses PKG_CXXFLAGS and PKG_LIBS internally, and shows the values it sets

Courtesy of my CRANberries, there is also a diffstat report for the this release. As always, more detailed information is on the RQuantLib page. Questions, comments etc should go to the rquantlib-devel mailing list. Issue tickets can be filed at the GitHub repo.

If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

I've tried Android Element app for matrix first time during Debconf. It feels good. For me it's a better IRC. I've been using it on my Chromebook and one annoyance is that I haven't found a keyboard shortcut for sending messages. I would have expected shift or ctrl with Enter would send the current message, but so far I have been touching the display to send messages. Can I fix this? Where is the code?

Joining Debconf, it's been 16 years. I feel very different. Back then I didn't understand the need for people who were not directly doing Debian work, now I think I appreciate things more. I don't remember what motivated me to do everything back then. Now I am doing what is necessary for me. Maybe it was back then too.

The release of Drupal 11 is on the horizon, yet comprehensive information on its features, deprecated modules, and system requirements is scattered. While you can piece together details from documentation and community forums, it would be much more convenient to have everything in one place, hence this post. Since the release of Drupal 10.2, we've known about the deprecations and experimental modules, allowing us to prepare for the transition. With Drupal 10 receiving long-term support (LTS) until Drupal 12, possibly arriving in mid-late 2026, there's no immediate rush to upgrade. However, the benefits of the new features in Drupal 11 make the upgrade highly worthwhile.

I’ve been continuing to work on adapting coverage.py to the new sys.monitoring facility. Getting efficient branch coverage has been difficult even with the new API. The latest idea was to compile the code under measurement to insert phantom lines that could trigger line monitoring events that would track branch execution. But I’ve come to the opinion that this is not the right approach. It’s a complex work-around for a gap in the sys.monitoring API.

Update: Mark Shannon is working on new events: Add BRANCH_TAKEN and BRANCH_NOT_TAKEN events to sys.monitoring.

To re-cap: sys.monitoring let you subscribe to events for code execution. A line event lets you know when lines are executed. You can disable a line event, and you will never again be notified about that particular line being executed.

The gap is in the branch events: when one is fired, it tells you the bytecode offset of the source and destination. The problem is that disabling a branch event disables the source offset. You never hear about that source offset again, even when the destination offset is different. The central idea of a branch is that one source has two different destinations, so this disabling behavior is awkward.

If we leave the branch event enabled, then we might be repeatedly told about the same source/destination pair, slowing down execution. We could disable the event once we saw both possible destinations, but that means implementing our own bookkeeping, and we still have the overhead of repeated first-destination events. If we disable the branch event immediately, we’ll never hear about the other possible destination and the coverage data will be incomplete.

The clever idea from SlipCover is to insert do-nothing lines at each branch destination, then only subscribe to line events. This works in theory, but adds complexity to coverage.py. It also limits how it can be used: you can’t start coverage measurement in a process after code has already been imported because the line insertion happens during compilation via an import hook. To make matters worse, there’s a tricky interaction between the coverage.py import hook and the pytest import hook that rewrites assertions.

Over the years I’ve done plenty of clever work-arounds for limitations in systems I build on top of. They can be interesting puzzles and proud achievements. They can also be maintenance headaches and fragile sources of bugs.

My progress on adapting coverage.py to sys.monitoring has be slow, even glacial. I think it will be faster overall to work on improving sys.monitoring instead, even though it means the improvements wouldn’t be available until 3.14. It will keep coverage.py simpler and more flexible, and will make the improved branch events available to everyone. I can’t see how the current behavior is useful, so let’s change it.

I’ve proposed that we fix the sys.monitoring API. Of course other participation is welcome in that discussion.

I remember years ago working at Lotus, using the Lotus Notes API. I accepted it as a finished thing. Later I joined the organization that built Lotus Notes. We had a discussion about something we were building and a difficulty we were encountering. One of the longer-tenured engineers said, “Let’s extend the API.” It was a revelation that we didn’t have to limit ourselves to the current capabilities of our foundation, we could change the foundation.

The same is true of Python, especially because it is open source. But it can be hard to remember that and to advocate for it where necessary.

BTW, I still believe that coverage.py’s internal focus on “arcs” is misguided, and will be working to remove that idea in favor of true branches.

As I mentioned last time, there’s now a dedicated #coverage-py channel in the Python Discord if you are interested in discussing any of this.

We’re excited to announce the August 2024 release of the Python and Jupyter extensions for Visual Studio Code!

This release includes the following announcements:

• Improved Python discovery using python-environment-tools
• Inline variable values shown in source code
• Improvements to the VS Code Native REPL for Python

If you’re interested, you can check the full list of improvements in our changelogs for the Python, Jupyter and Pylance extensions.

Improved Python discovery using python-environment-tools

In the last release, we announced the Python environment tools, which redesigned the Python discovery infrastructure focused on performance. This new approach reduces the need for executing python binaries to probe for information and thus improving performance.

Starting in this release, we are rolling out this enhancement as part of an experiment. If you are interested in trying this out, you can set "python.locator" to "native" in your User settings.json and reload your VS Code window. Visit the python-environment-tools repo to learn more about this feature, ongoing work, and provide feedback.

Inline variable values shown in source code

The Python Debugger extension introduced an Inline Values feature to enhance your Python debugging experience making it easier to track variable values during a debug session. This feature enables the display of variable values directly in the editor, next to the corresponding line of code during a debugging session. This helps you to quickly understand the state of your program without needing to hover over variables or check the variables pane. To enable this feature, set the configuration value debugpy.showPythonInlineValues to true in your User settings.

Note: This feature is currently in exploration state and improvements are actively being made. Please try out this feature and provide feedback in the vscode-python-debugger repo!

Improvements to the VS Code Native REPL for Python

The experimental native REPL ("python.REPL.sendToNativeREPL": true) will now display success/failure UI, similar to that in a Jupyter cell, depending on the outcome of execution. Furthermore, we have made improvements so that we no longer display an empty line on cells that generate no output.

Other Changes and Enhancements

We have also added small enhancements and fixed issues requested by users that should improve your experience working with Python and Jupyter Notebooks in Visual Studio Code. Some notable changes include:

• Pylance now provides a way to disable unreachability hints in @pylance-release#6106
• The Debug Welcome view now includes a button for quick access to automatic Python configurations when a Python file is open in the editor

Call for Community Feedback

As we are planning and prioritizing future work, we value your feedback! Below are a few issues we would love feedback on:

• In a joint effort from various parts of the Python community, we are collecting responses about usage of type annotations in Python. Please take a few minutes to share your experience in the Type Annotation in Python survey! The survey will close at the end of August 2024.
• Design proposal for test coverage in (@vscode-python#22827)

Try out these new improvements by downloading the Python extension and the Jupyter extension from the Marketplace, or install them directly from the extensions view in Visual Studio Code (Ctrl + Shift + X or ⌘ + ⇧ + X). You can learn more about Python support in Visual Studio Code in the documentation. If you run into any problems or have suggestions, please file an issue on the Python VS Code GitHub page.

The post Python in Visual Studio Code – August 2024 Release appeared first on Python.

This is one of those posts that’s more for my own reference than likely to be helpful for others. If you’re unlucky it’ll have some useful tips for you. If I’m lucky then I’ll get a bunch of folk pointing out some optimisations.

First, what I’m trying to achieve. I want a virtual machine environment where I can manually do tests on random kernels, and also various TPM related experiments. So I don’t want something as fixed as a libvirt setup. I’d like the following:

• It to be fairly lightweight, so I can run it on a laptop while usefully doing other things
• I need a TPM 2.0 device to appear to the guest OS, but it doesn’t need to be a real TPM
• Block device discard should work, so I can back it with a qcow2 image and use fstrim to keep the actual on disk size small, without constraining my potential for file system expansion should I need it
• I’ve no need for graphics, in fact a serial console would be better as it eases copy & paste, especially when I screw up kernel changes

That turns out to be possible, but it took a bunch of trial and error to get there. So I’m writing it down. I generally do this on a Fedora based host system (FC40 at present, but this all worked with FC38 + FC39 too), and I run Debian 12 (bookworm) as the guest. At present I’m using qemu 8.2.2 and swtpm 0.9.0, both from the FC40 packages.

One other issue I spent too long tracking down is that the version of grub 2.06 in bookworm does not manage to pass the TPMEventLog through to the guest kernel properly. The events get measured and the PCRs updated just fine, but /sys/kernel/security/tpm0/binary_bios_measurements doesn’t even get created. Using either grub 2.06 from FC40, or the 2.12 backport in bookworm-backports, makes this work just fine.

Anyway, for reference, the following is the script I use to start the swtpm, and then qemu. The debugcon line can be dropped if you’re not interested in OVMF debug logging. This needs the guest OS to be configured up for a serial console, but avoids the overhead of graphics emulation.

As I said at the start, I’m open to any hints about other options I should be passing; as long as I get acceptable performance in the guest I care more about reducing host load than optimising for the guest.

#!/bin/sh BASEDIR=/home/noodles/debian-qemu if [ ! -S ${BASEDIR}/swtpm/swtpm-sock ]; then echo Starting swtpm: swtpm socket --tpmstate dir=${BASEDIR}/swtpm \ --tpm2 \ --ctrl type=unixio,path=${BASEDIR}/swtpm/swtpm-sock & fi echo Starting QEMU: qemu-system-x86_64 -enable-kvm -m 2048 \ -machine type=q35 \ -smbios type=1,serial=N00DL35,uuid=fd225315-f72a-4d66-9b16-55363c6c938b \ -drive if=pflash,format=qcow2,readonly=on,file=/usr/share/edk2/ovmf/OVMF_CODE_4M.qcow2 \ -drive if=pflash,format=raw,file=${BASEDIR}/OVMF_VARS.fd \ -global isa-debugcon.iobase=0x402 -debugcon file:${BASEDIR}/debian.ovmf.log \ -device virtio-blk-pci,drive=drive0,id=virblk0 \ -drive file=${BASEDIR}/debian-12-efi.qcow2,if=none,id=drive0,discard=on \ -net nic,model=virtio -net user \ -chardev socket,id=chrtpm,path=${BASEDIR}/swtpm/swtpm-sock \ -tpmdev emulator,id=tpm0,chardev=chrtpm \ -device tpm-tis,tpmdev=tpm0 \ -display none \ -nographic \ -boot menu=on

Middle Age and Absences

“Fundamentals are the foundation of excellence. Without a strong base, you cannot reach your full potential.” – John Wooden

Hey there!

Let’s talk fundamentals today. Why are they important? John Wooden’s quote sums it up nicely, but let’s unpack it a bit more:

1. Strong foundation:

   • A solid grasp of fundamental concepts provides a strong foundation for building advanced skills. Just like a house needs a sturdy base, your knowledge in software engineering needs a solid groundwork. It may sound cliché, but it’s still true.

   • Continuous learning: fundamentals serve as a launchpad for continuous learning. Once you have a solid base, you can explore more advanced topics and specializations, keeping your skills sharp and relevant.

2. Confidence: mastering the fundamentals boosts your confidence.  Remember, competence breeds confidence.

3. Shelf-life: technology evolves at a breakneck pace. Remember when new JavaScript frameworks seemed to pop up before your morning coffee? Or just look at how quickly the AI space is advancing these days. While frameworks come and go, fundamentals like data structures, algorithms, math, software design, OS internals, and soft skills have enduring value. Investing in these fundamentals offers a much better return on investment compared to the often fleeting value of the latest frameworks.

Understanding the fundamentals is essential for software engineers at all levels; they’re not just for beginners.

Which specific fundamentals are important for software engineers?

Well, everyone loves a good list, so here you go - an opinionated list of essential fundamentals for software engineers at all levels, from entry-level to senior IC, staff, and beyond:

1. Programming languages: this one’s super obvious. The main question is which languages? Python, JavaScript, Go, and some C are the usual suspects. Bonus points if you dive into how interpreters and compilers work.

2. Software design and architecture

3. Data structures and algorithms (DSA)

4. Operating systems: this also includes basic computer architecture and networking.

5. Databases: design and internals

6. Distributed systems: nowadays, systems run on multiple machines and instances, so understanding the basics of distributed systems is important.

7. Math: this might be controversial, but it can also be the secret sauce, especially statistics and math for AI.

8. Soft skills: fundamental to any engineer’s career unless you’re living in a cave alone. The truth is, soft skills are actually hard to master.

Consider this a teaser! I’ll be doing deep dives into these fundamentals in upcoming posts, along with other key essentials for software engineers.

Spotlight

In today’s spotlight: “The Pragmatic Programmer: Your Journey to Mastery”

Andy Hunt and Dave Thomas offer a wealth of practical advice, timeless tips, and real-world examples. Every software engineer needs “The Pragmatic Programmer” on their shelf. Now in its second (20th anniversary) edition, this book is a must-read. I fondly remember the original edition titled “From Journeyman to Master.” My copy is well-worn from many reads - truly good books are worth revisiting.

Sneak Peak

In the next post, I’ll talk about essential fundamentals for engineering managers.

Stay curious,

Ruslan

In the Django framework, a project refers to the collection of configuration files and code for a particular website. Django groups business logic into what it calls apps, which are the modules of the Django framework. There’s plenty of documentation on how to structure your projects and the apps within them, but when it comes time to package an installable Django app, information is harder to find.

In this tutorial, you’ll learn how to take an app out of a Django project and package it so that it’s installable. Once you’ve packaged your app, you can share it on PyPI so that others can fetch it through pip.

In this tutorial, you’ll learn:

• What the differences are between writing stand-alone apps and writing apps inside of projects
• How to create a pyproject.toml file for publishing your Django app
• How to bootstrap Django outside of a Django project so you can test your app
• How to test across multiple versions of Python and Django using nox
• How to publish your installable Django app to PyPI using Twine

This tutorial includes a working package to help guide you through the process of making an installable Django app. You can download the source code by clicking the link below:

Get Your Code: Click here to download the free sample code that shows you how to write an installable Django app.

Prerequisites

This tutorial requires some familiarity with Django, pip, PyPI, pyenv—or an equivalent virtual environment tool—and nox. To learn more about these, you can check out the following resources:

• Django Tutorials
• Using Python’s pip to Manage Your Projects’ Dependencies
• How to Publish an Open-Source Python Package to PyPI
• Managing Multiple Python Versions With pyenv

Starting a Sample Django App in a Project

Even if you set out to make your Django app available as a package, you’ll likely start inside a project. In the sample code, you’ll find a 000_before directory that shows the code before the app is moved onto its own, demonstrating the process of transitioning from a Django project to an installable Django app.

You can also download the finished app at the PyPI realpython-django-receipts package page, or install the package by running python -m pip install realpython-django-receipts.

The sample app is a short representation of the line items on a receipt. In the 000_before folder, you’ll find a directory named sample_project that contains a working Django project:

sample_project/ │ ├── receipts/ │ ├── fixtures/ │ │ └── receipts.json │ │ │ ├── migrations/ │ │ ├── 0001_initial.py │ │ └── __init__.py │ │ │ ├── __init__.py │ ├── admin.py │ ├── apps.py │ ├── models.py │ ├── tests.py │ ├── urls.py │ └── views.py │ ├── sample_project/ │ ├── __init__.py │ ├── asgi.py │ ├── settings.py │ ├── urls.py │ └── wsgi.py │ ├── db.sqlite3 ├── manage.py ├── resetdb.sh └── runserver.sh

This tutorial was written using Django 5.0.7 and it was tested with Python 3.8 through 3.12. All of the steps outlined in this tutorial should be compatible with earlier versions of Django going back to Django 1.8. However, some modifications will be necessary if you’re using Python 2. For simplicity, the examples in this tutorial assume at least Python 3.8 across the code base.

Creating the Django Project From Scratch

The sample project and receipts app were created using the Django admin command and some small edits. To start, run the following code inside of a clean virtual environment:

Shell $ python -m pip install Django $ django-admin startproject sample_project $ cd sample_project $ python manage.py startapp receipts Copied!

This creates the sample_project project directory structure and a receipts app subdirectory with template files that you’ll use to create your installable Django app.

Next, the sample_project/settings.py file needs a few modifications:

• Add "127.0.0.1" to the ALLOWED_HOSTS setting so you can test locally.
• Add "receipts" to the INSTALLED_APPS list.

You’ll also need to register the receipts app’s URLs in the sample_project/urls.py file. To do so, add path("receipts/", include("receipts.urls")) to the url_patterns list. Note that you’ll need to add the include function as an import from django.urls.

Exploring the Receipts Sample App

The app consists of two ORM model classes: Item and Receipt. The Item class contains database field declarations for a description and a cost. The cost is contained in a DecimalField. It’s never a good idea to use floating-point numbers to represent money. Instead, you should always use fixed-point numbers when dealing with currencies.

The Receipt class is a collection point for Item objects. This is achieved with a ForeignKey on Item that points to Receipt. Receipt also includes total() for getting the total cost of Item objects contained in the Receipt:

Read the full article at https://realpython.com/installable-django-app/ »

[ 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 ]

56th issue of Andrei Neagoie's must-read monthly Python Newsletter: Python Web Apps, Python Oopsie with Apple, Some Advice From a 15+ Vet, and much more. Read the full newsletter to get up-to-date with everything you need to know from last month.

Join the FSF and friends on Friday, August 2 from 12:00 to 15:00 EDT (16:00 to 19:00 UTC) to help improve the Free Software Directory.

In an insightful interview with Alka Elizabeth, Jürgen Haas, Co-Founder of LakeDrops, delves into the development and impact of the ECA module, a tool for workflow automation in Drupal. Jürgen, an expert in technical solution architectures, discusses how the ECA module simplifies complex tasks through a no-code approach, making it accessible to developers and non-technical users. He also explores the module's potential future integration with Drupal core and its role in promoting sustainable, open-source practices within the digital community. This interview provides a comprehensive look at how the ECA module reshapes user experiences and sets new standards in the Drupal ecosystem.

In this quiz, you’ll test your understanding of the most commonly used built-in exceptions in Python.

Exception handling is a core topic in Python. Knowing how to use some of the most common built-in exceptions can help you to debug your code and handle your own exceptions.

Good luck!

[ 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 ]

Review: The Book That Wouldn't Burn, by Mark Lawrence

Series: Library Trilogy #1 Publisher: Ace Copyright: 2023 ISBN: 0-593-43793-4 Format: Kindle Pages: 561

The Book That Wouldn't Burn is apparently high fantasy, but of the crunchy sort that could easily instead be science fiction. It is the first of a trilogy.

Livira is a young girl, named after a weed, who lives in a tiny settlement in the Dust. She is the sort of endlessly curious and irrepressible girl who can be more annoying than delightful to adults who are barely keeping everyone alive. Her settlement is not the sort of place that's large enough to have a name; only their well keeps them alive in the desert and the ever-present dust. There is a city somewhere relatively near, which Livira dreams of seeing, but people from the settlement don't go there.

When someone is spotted on the horizon approaching the settlement, it's the first time Livira has ever seen a stranger. It's also not a good sign. There's only one reason for someone to seek them out in the Dust: to take. Livira and the other children are, in short order, prisoners of the humanoid dog-like sabbers, being dragged off to an unknown fate.

Evar lives in the library and has for his entire life. Specifically, he lives in a square room two miles to a side, with a ceiling so high that it may as well be a stone sky. He lived there with his family before he was lost in the Mechanism. Years later, the Mechanism spit him out alongside four other similarly-lost kids, all from the same library in different times. None of them had apparently aged, but everyone else was dead. Now, years later, they live a strange and claustrophobic life with way too much social contact between way too few people.

Evar's siblings, as he considers them, were each in the Mechanism with a book. During their years in the Mechanism they absorbed that book until it became their focus and to some extent their personality. His brothers are an assassin, a psychologist, and a historian. His sister, the last to enter the Mechanism and a refugee from the sabber attack that killed everyone else, is a warrior. Evar... well, presumably he had a book, since that's how the Mechanism works. But he can't remember anything about it except the feeling that there was a woman.

Evar lives in a library in the sense that it's a room full of books, but those books are not on shelves. They're stacked in piles and massive columns, with no organizational system that any of them could discern. There are four doors, all of which are closed and apparently impenetrable. In front of one of them is a hundred yards of char and burned book remnants, but that door is just as impenetrable as the others. There is a pool in the center of the room, crops surrounding it, and two creatures they call the Soldier and the Assistant. That is the entirety of Evar's world.

As you might guess from the title, this book is about a library. Evar's perspective of the library is quite odd and unexplained until well into the book, and Livira's discovery of the library and subsequent explorations are central to her story, so I'm going to avoid going into too many details about its exact nature. What I will say is that I have read a lot of fantasy novels that are based around a library, but I don't think I've ever read one that was this satisfying.

I think the world of The Book That Wouldn't Burn is fantasy, in that there are fundamental aspects of this world that don't seem amenable to an explanation consistent with our laws of physics. It is, however, the type of fantasy with discoverable rules. Even better, it's the type of fantasy where discovering the rules is central to the story, for both the characters and the readers, and the rules are worth the effort. This is a world-building tour de force: one of the most engrossing and deeply satisfying slow revelations that I have read in a long time. This book is well over 500 pages, the plot never flags, new bits of understanding were still slotting into place in the last chapter, and there are lots of things I am desperately curious about that Lawrence left for the rest of the series. If you like puzzling out the history and rules of an invented world and you have anything close to my taste in characters and setting, you are going to love this book.

(Also, there is at least one C.S. Lewis homage that I will not spoil but that I thought was beautifully done and delightfully elaborated, and I am fairly sure there is a conversation happening between this book and Philip Pullman's His Dark Materials series that I didn't quite untangle but that I am intrigued by.)

I do need to offer a disclaimer: Livira is precisely the type of character I love reading about. She's stubborn, curious, courageous, persistent, egalitarian, insatiable, and extremely sharp. I have a particular soft spot for exactly this protagonist, so adjust the weight of my opinion accordingly. But Lawrence also makes excellent use of her as a spotlight to illuminate the world-building. More than anything else in the world, Livira wants to understand, and there is so much here to understand.

There is an explanation for nearly everything in this book, and those explanations usually both make sense and prompt more questions. This is such a tricky balance for the writer to pull off! A lot of world-building of this sort fails either by having the explanations not live up to the mysteries or by tying everything together so neatly that the stakes of the world collapse into a puzzle box. Lawrence avoids both failures. This world made sense to me but remained sufficiently messy to feel like humans were living in it. I also thought the pacing and timing were impeccable: I figured things out at roughly the same pace as the characters, and several twists and turns caught me entirely by surprise.

I do have one minor complaint and one caveat. The minor complaint is that I thought one critical aspect of the ending was a little bit too neat and closed. It was the one time in the book where I thought Lawrence simplified his plot structure rather than complicated it, and I didn't like the effect it had on the character dynamics. There is, thankfully, the promise of significant new complications in the next book.

The caveat is a bit harder to put my finger on, but a comparison to Alaya Dawn Johnson's The Library of Broken Worlds might help. That book was also about a library, featured a protagonist thrown into the deep end of complex world-building, and put discovery of the history and rules at the center of the story. I found the rules structure of The Book That Wouldn't Burn more satisfyingly complicated and layered, in a way that made puzzle pieces fit together in my head in a thoroughly enjoyable way. But Johnson's book is about very large questions of identity, history, sacrifice, and pain, and it's full of murky ambiguity and emotions that are only approached via metaphor and symbolism. Lawrence's book is far more accessible, but the emotional themes are shallower and more straightforward. There is a satisfying emotional through-line, and there are some larger issues at stake, but it won't challenge your sense of morality and justice the way that The Library of Broken Worlds might. I think which of those books one finds better will depend on what mood you're in and what reading experience you're looking for.

Personally, I was looking for a scrappy, indomitable character who would channel her anger into overcoming every obstacle in the way of thoroughly understanding her world, and that's exactly what I got. This was my most enjoyable reading experience of the year to date and the best book I've read since Some Desperate Glory. Fantastic stuff, highly recommended.

Followed by The Book That Broke the World, and the ending is a bit of a cliffhanger so you may want to have that on hand. Be warned that the third book in the series won't be published until 2025.

Rating: 9 out of 10