Things I Wish They Told Me About Multiprocessing in Python
“Some people, when confronted with a problem, think ‘I know, I’ll use multithreading’. Nothhw tpe yawrve o oblems.” (Eiríkr Åsheim, 2012)

If multithreading is so problematic, though, how do we take advantage of systems with 8, 16, 32, and even thousands, of separate CPUs? When presented with large Data Science and HPC data sets, how to you use all of that lovely CPU power without getting in your own way?

https://www.cloudcity.io/blog/2019/02/27/things-i-wish-they-told-me-about-multiprocessing-in-python/

Announcing a new Sponsorship Program for Python Packaging

The Packaging Working Group of the Python Software Foundation is launching an all-new sponsorship program to sustain and improve Python's packaging ecosystem. Funds raised through this program will go directly towards improving the tools that your company uses every day and sustaining the continued operation of the Python Package Index.

https://pyfound.blogspot.com/2020/04/sponsoring-python-packaging.html

What the heck is pyproject.toml?
Recently on Twitter there was a maintainer of a Python project who had a couple of bugs filed against their project due to builds failing (this particular project doesn't provide wheels, only sdists). Eventually it came out that the project was using a pyproject.toml file because that's how you configure Black and not for any other purpose.

https://snarky.ca/what-the-heck-is-pyproject-toml/

Your configs suck? Try a real programming language
In this post, I'll try to explain why I find most config formats frustrating to use and suggest that using a real programming language (i.e. general purpose one, like Python) is often (but not always) a feasible and more pleasant alternative for writing configs.

https://beepb00p.xyz/configs-suck.html

Accelerating Python for Exotic Option Pricing
In finance, computation efficiency can be directly converted to trading profits sometimes. Quants are facing the challenges of trading off research efficiency with computation efficiency. Using Python can produce succinct research codes, which improves research efficiency. However, vanilla Python code is known to be slow and not suitable for production. In this post, I explore how to use Python GPU libraries to achieve the state-of-the-art performance in the domain of exotic option pricing.

https://devblogs.nvidia.com/accelerating-python-for-exotic-option-pricing/

Reworking StringIO concatenation in Python
Python string objects are immutable, so changing the value of a string requires that a new string object be created with the new value. That is fairly well-understood within the community, but there are some "anti-patterns" that arise; it is pretty common for new users to build up a longer string by repeatedly concatenating to the end of the "same" string

https://lwn.net/Articles/816415/

3 Python templating languages you should (probably) never use
Python has accumulated a lot of templating languages, including these three that are perfect for April Fools' Day.

https://opensource.com/article/20/4/python-templating-languages

Episode 3: Effective Python and Python at Google Scale
In this episode, Christopher interviews Brett Slatkin about the 2nd edition of his book Effective Python. Brett talks about the revisions he made for the book, and updating it for the newest versions of Python 3.

https://realpython.com/podcasts/rpp/3/

Linked Lists in Python: An Introduction
Linked lists are like a lesser-known cousin of lists. They’re not as popular or as cool, and you might not even remember them from your algorithms class. But in the right context, they can really shine.

https://realpython.com/linked-lists-python/

The Clean Architecture in Python. How to write testable and flexible code

If someone asked about the features of an ideal project, responses would surely mention a few specific things. First of all, an ideal project would have a clean codebase that is simple to read. Secondly, there should be high test coverage to ensure that the project works as expected. What is more, one will instantly know if they broke something thanks to an extensive suite of automated tests. Last, but not least – technical debt should be kept at bay to not pose a threat of lowering a team’s velocity. I bet you already see how enjoyable would be to work on such a project! Unfortunately, software like this is a real rarity. Time to change it.

https://breadcrumbscollector.tech/the-clean-architecture-in-python-how-to-write-testable-and-flexible-code/

How to Make an Instagram Bot With Python and InstaPy

What do SocialCaptain, Kicksta, Instavast, and many other companies have in common? They all help you reach a greater audience, gain more followers, and get more likes on Instagram while you hardly lift a finger. They do it all through automation, and people pay them a good deal of money for it. But you can do the same thing—for free—using InstaPy!

https://realpython.com/instagram-bot-python-instapy/