~pycoders | Issue #675: Optimization, DuckDB, Outliers, and More (April 1, 2025) (28)

Optimizing With Generators, Expressions, & Efficiency Python generators provide an elegant mechanism for handling iteration, particularly for large datasets where traditional approaches may be memory-intensive. Unlike standard functions that compute and return all values at once, generators produce values on demand through the yield statement, enabling efficient memory usage and creating new possibilities for data processing workflows. PYBITES • Shared by Bob Belderbos

Introducing DuckDB In this showcase tutorial, you’ll be introduced to a library that allows you to use a database in your code. DuckDB provides an efficient relational database that supports many features you may already be familiar with from more traditional relational database systems. REAL PYTHON

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Outlier Detection With Python Have you ever wondered why certain data points stand out so dramatically? They might hold the key to everything from fraud detection to groundbreaking discoveries. This week Talk Python to Me interviews Brett Kennedy on outlier detection. TALK PYTHON podcast

What Can You Do With Python? In this video course, you’ll find a set of guidelines that will help you start applying your Python skills to solve real-world problems. By the end, you’ll be able to answer the question, “What can you do with Python?” REAL PYTHON course

Python Code Quality: Best Practices and Tools In this tutorial, you’ll learn about code quality and the key factors that make Python code high-quality. You’ll explore effective strategies, powerful tools, and best practices to elevate your code to the next level. REAL PYTHON

Optimizing Django by Not Being Silly Although the post is nominally about a tool being used with Django, the root problem being debugged is about handling substrings. Doing it badly can be a real performance bottleneck, learn how to avoid the problem. MAX BERNSTEIN

Share Python Scripts Like a Pro Sharing single-file Python scripts with external dependencies is now easy thanks to uv and PEP 723, which enable embedding dependency metadata directly within script files. DAVE JOHNSON • Shared by Dave Johnson

PEP 781: Make TYPE_CHECKING a Built-in Constant This PEP proposes adding a new built-in variable, TYPE_CHECKING, which is True when the code is being analyzed by a static type checker, and False during normal runtime. PYTHON.ORG

Checking User Permissions in Django Templates Not all actions in your web project are for all users. This post shows you how to check what a user’s permissions are from within the HTML template being rendered. TIM KAMANIN

Checking Whether Iterables Are Equal in Python “You can check whether iterables contain the same elements in Python with equality checks, type conversions, sets, Counter, or looping helpers.” TREY HUNNER

Understanding Numpy’s einsum Einstein notation lets you evaluate operations on multi-dimensional arrays. NumPy has this built-in. This post shows you how to use it. ELI BENDERSKY

Building a Real-Time Dashboard With FastAPI and Svelte Learn how to build a real-time analytics dashboard using FastAPI and Svelte with server-sent events. AMIR TADRISI • Shared by Michael Herman

Building Accessible Web Forms in Django A step by step reference to building accessible web forms in Django. VALENTINO GAGLIARDI

PEP 768: Safe External Debugger Interface for CPython “This PEP proposes adding a zero-overhead debugging interface to CPython that allows debuggers and profilers to safely attach to running Python processes.” PYTHON.ORG