Bookmarks (439)

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

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 → DATADOG sponsor

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

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 HACKER NEWS

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 → PULUMI sponsor

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. PACKT PUBLISHING sponsor

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