Bookmarks (480)

Catching Memory Leaks With Your Test Suite “If you have a good test suite, you may be able to use pytest fixtures to identify memory and other resource leaks.” ITAMAR TURNER-TRAURING

10 Ways to Work With Large Files in Python “Handling large text files in Python can feel overwhelming. When files grow into gigabytes, attempting to load them into memory all at once can crash your program.” This article covers different ways of dealing with this challenge. ALEKSEI ALEINIKOV

Investigating the Popularity of Python Build Backends This post analyzes the popularity of build backends used in pyproject.toml files over time. Over half of the projects analyzed use setuptools, with Poetry coming in second around 30%. BASTIAN VENTHUR

Testing Your Python Package Releases Upon creating the release for the Django Debug Toolbar, Tim discovered a problem when uploading to PyPI. This article talks about how he could have caught it earlier with better tests. TIM SCHILLING

How I Automated Data Cleaning in Python Learn how to automate data cleaning in Python using reusable functions and pipelines. Improve efficiency by handling missing values, duplicates, and data types. SATYAM SAHU

The “Active Enum” Pattern This article talks about the challenges associated with enum declarations being separate from their associated business logic, and proposes some alternatives. GLYPH LEFKOWITZ

A Guide to JAX for PyTorch Developers “PyTorch users can learn about JAX in this tutorial that connects JAX concepts to the PyTorch building blocks that they’re already familiar with.” ANFAL SIDDIQUI

Use a Python venv in a Container Like Docker Bite code talks about why you should use a virtual environment inside of Docker containers, even though that is containment within a container. BITE CODE!

Creating a Fitness Tracker App With Python Reflex A detailed guide to building a simple Fitness Tracker app in Python using Reflex that lets you log the number of workouts completed per week. BOB BELDERBOS • Shared by Bob Belderbos

Database Indexing in Django This article explores the basics of database indexing, its advantages and disadvantages, and how to apply it in a Django application. OLUWOLE MAJIYAGBE • Shared by Michael Herman

Python’s range() Function The range() function can be used for counting upward, countdown downward, or performing an operation a number of times. TREY HUNNER

Quickly Visualizing an SBOM Document Quick instructions on how to chart a Software Bill-Of-Materials (SBOM) document. SETH LARSON

Building Dictionary Comprehensions in Python In this video course, you’ll learn how to write dictionary comprehensions in Python. You’ll also explore the most common use cases for dictionary comprehensions and learn about some bad practices that you should avoid when using them in your code. REAL PYTHON course

PyViz: Python Tools for Data Visualization This site contains an overview of all the different visualization libraries in the Python ecosystem. If you’re trying to pick a tool, this is a great place to better understand the pros and cons of each. PYVIZ.ORG

Building AI Agents With Your Enterprise Data: A Developer’s Guide Building AI agents over enterprise data is hard—legacy systems, scattered data, complex queries. MindsDB, a leading open-source enterprise AI platform, makes it much easier: turn your data into AI-driven ‘skills’ and build smarter, more customized agents → MINDSDB sponsor

Optimize Postgres Performance and Reduce Costs with Crunchy Bridge Discover why YNAB (You Need A Budget) switched to fully managed Postgres on Crunchy Bridge. With a 30% increase in performance and a 10% reduction in costs, YNAB leverages Crunchy Bridge’s seamless scaling, high availability, and expert support to optimize their database management → CRUNCHY DATA sponsor

Data Cleaning in Data Science “Real-world data needs cleaning before it can give us useful insights. Learn how how you can perform data cleaning in data science on your dataset.” HELEN SCOTT

Musings on Tracing in PyPy What started as an answer to a question on Twitter has turned into a very deep dive on tracing JITs, how they compare to method-based JITs, and how all that works in the alternative Python interpreter PyPy. CF BOLZ-TEREICK

From Default Line Charts to Journal-Quality Infographics “Everyone who has used Matplotlib knows how ugly the default charts look like.” In this series of posts, Vladimir shares some tricks to make your visualizations stand out and reflect your individual style. VLADIMIR ZHYVOV

Stupid pipx Tricks This post talks about pipx a wrapper to pip that allows you to use Python packages like applications. This post talks about the strengths and weaknesses of pipx and just what you can do with it. KARL KNECHTEL

Towards PyPy3.11: An Update The alternative Python interpreter PyPy is working towards a Python 3.11 compatible release. This post talks about how that is going and the challenges along the way. PYPY.ORG

Learn SQL With Python This tutorial teaches the fundamentals of SQL by using Python to build applications that interact with a relational PostgresSQL database. PATRICK KENNEDY • Shared by Patrick Kennedy

PEP 769: Add a Default Keyword Argument to attrgetter and itemgetter This proposal aims to enhance the operator module by adding a default keyword argument to the attrgetter and itemgetter functions. PYTHON.ORG

Posit Connect Cloud: Share the Work you Make With Streamlit, FastAPI, Shiny, & Other FOSS Frameworks Posit Connect Cloud lets you publish, host, and manage Streamlit, Dash & other apps, dashboards, APIs, and more. A centralized platform for sharing Python-based data science, it streamlines deployment and boosts collaboration—amplifying your impact. POSIT sponsor

Unit Testing vs. Integration Testing Discover the key differences between unit testing vs integration testing and learn how to automate both with Python. FEDERICO TROTTA

Why Is hash(-1) == hash(-2) in Python? Somewhat surprisingly, hash(-1) == hash(-2) in CPython. This post examines how and discovers why this is the case. OMAIR MAJID

Ways to Start Interacting With Python In this video course, you’ll explore the various ways of interacting with Python. You’ll learn about the REPL for quick testing and running scripts, as well as how to work with different IDEs, and Python’s IDLE. REAL PYTHON course