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Python's min() and max(), django-rich, Evaluating Dependencies, and More

#525 – MAY 17, 2022 VIEW IN BROWSER
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Python’s min() and max(): Find Smallest and Largest Values
In this tutorial, you’ll learn how to use Python’s built-in min() and max() functions to find the smallest and largest values. You’ll also learn how to modify their standard behavior by providing a suitable key function. Finally, you’ll code a few practical examples of using min() and max().
REAL PYTHON

Using django-rich for Testing
The django-rich library adds color and formatting to Django management commands, including colorized tracebacks. Make your debugging and testing more visual.
OKKEN, JOHNSON, & SMITH podcast

Analyze Code-Level Performance Across Your app’s Environment With Minimal Performance Overhead
Datadog’s profiler allows you to capture code profiles for all of your production instances. Compare those profiles in the profile comparison view to see how the performance of your code changes over time. You can quantify the changes you’ve made to fix a bottleneck. Try Datadog APM free →
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The Well-Maintained Test: 12 Questions for New Dependencies
There is lots of openly available code out there, but how do you know if you should build a dependency on some random coder’s package? 12 Questions you should ask yourself before using a library.
ADAM JOHNSON

DjangoCon Europe 2022 Call for Proposals
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DjangoCon US 2022 Call for Proposals
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Python Release Python 3.11.0b1
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Python in Visual Studio Code: May 2022 Release
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Discussions


Python Language Summit: Python Without the GIL
What’s a language summit without a conversation about the GIL? This HN discussion is all about the “nogil” conversation at the 2022 summit
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Which Python Packages Do You Use the Most?
MIKE DRISCOLL


Python Jobs


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Articles & Tutorials


Deploying a Flask Application Using Heroku
In this video course, you’ll learn how to create a Python Flask example web application and deploy it using Heroku. You’ll also use Git to track changes to the code, and you’ll configure a deployment workflow with different environments for staging and production.
REAL PYTHON course

Python Decorator Patterns
Decorators are a way of wrapping functions around functions, they’re a common technique for providing pre- and post-conditions on your code. Learn about the different ways decorators get invoked and how to write each pattern.
MARTON TRENCSENI

Pulumi: Developer-First Infrastructure with Python
Developing on the cloud is complex. What if you could use your existing programming knowledge to build, deploy, and manage infrastructure on any cloud using your favorite languages and tools? With Pulumi you can. Get started for free at pulumi.com →
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Introduction to Linear Programming in Python
Linear programming is a technique in mathematics for optimizing multi-variable problems. This article introduces you to the world of linear programming and some Python libraries you can use to solve these kinds of problems.
MAXIME LABONNE

Gevent Performance
Gevent is a co-routine based networking library who’s sweet spot for performance is network-bound workloads. Learn how gevent allows you to efficiently interleave other CPU work while waiting on the network for results.
ROY WILLIAMS

REPL Python Programming and Debugging With IPython
IPython is a powerful alternative to the built-in REPL. Learn how to use it for exploratory programming and debugging, including using it in the Django shell.
LUKE PLANT

Unlock Secret Knowledge From Python Experts for Just $10
Packt’s Spring Sale is on and for a limited period, all eBooks and Videos are only $10. Our Products are available as PDF, ePub, and MP4 files for you to download and keep forever. All the practical content you need - by developers for developers.
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Profiling and Analyzing Performance of Python Programs
The tools and techniques for finding all the bottlenecks in your Python programs and fixing them, fast. Includes info on cProfile, py-spy, py-heat, and more.
MARTIN HEINZ • Shared by Martin Heinz

How to Code a Blockchain in 6 Steps
The best way to understand blockchains is to see one in action , or better yet, to build one. Learn how to use Python and hashlib to create your own.
ARI COHEN


Projects & Code


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pony: Pony Object Relational Mapper
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📆🐍 Upcoming Python Events


PiterPy Breakfast
 May 18, 2022

Weekly Real Python Office Hours Q&A (Virtual)
 May 18, 2022

PyData Bristol Meetup
 May 19, 2022

PyLadies Dublin
 May 19, 2022

Karlsruhe Python User Group (KaPy)
 May 20, 2022

Django Girls Malabo
 May 21 to May 22, 2022
Happy Pythoning!
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PyCon US 2022 Wrap-Up, Game Engines, PyScript, and More

Tuesday, May 10, 2022

PyCon US 2022 Highlights #524 – MAY 10, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo PyCon US 2022 Highlights “It was wonderful to be back at PyCon US in person again. PyCon is way too big for

Dunder Methods, Closing Files, The GIL, and More

Tuesday, May 3, 2022

Dunder Methods in Python: The Ugliest Awesome Sauce #523 – MAY 3, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo Dunder Methods in Python: The Ugliest Awesome Sauce Double-underscore methods, also

Type Hints in Multi-Version Code, Extras for Enum, Django Users, and More

Tuesday, April 26, 2022

Type Hints in Code Supporting Multiple Python Versions #522 – APRIL 26, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo Type Hints in Code Supporting Multiple Python Versions The typing module

WASM, Python Keywords, PyInstaller, and More

Tuesday, April 19, 2022

Build an Editor in Python and WebAssembly #521 – APRIL 19, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo Build an Editor in Python and WebAssembly Step-by-step instructions on how to build a code

Levenshtein Distances, urllib, Python's Performance, and More

Tuesday, April 5, 2022

Python's `urllib.request` for HTTP Requests #519 – APRIL 5, 2022 VIEW IN BROWSER The PyCoder's Weekly Logo Python's urllib.request for HTTP Requests In this tutorial, you'll be making

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