~pycoders | Issue #665: Dict Comprehensions, Data Visualization, Memory Leaks, and More (... (30)

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

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