| Learning Python During an AI Revolution
Has the current growth of artificial intelligence (AI) systems made you wonder what the future holds for Python developers? What are the hidden benefits of learning to program in Python and practicing computational thinking? This week on the show, we speak with author Lawrence Gray about his upcoming book “Mastering Python: A Problem Solving Approach.”
REAL PYTHON podcast
How Many Python Core Devs Use Typing?
“How many old-school Python developers use type annotations?” This article dives into projects written by past and present core Python developers to see how often they use annotations in the wild.
10 Best Practices for Securely Developing with AI
Whether you’re diving into AI-assisted applications or enhancing your AI-assisted development skills, this comprehensive cheat by Snyk is for you. Walk through some crucial tips to securely embrace AI technology and to protect against AI-generated code risks such as prompt injection and data access →
Let’s Create a Python Debugger Together
Ever wondered how a debugger works? Implementing a simple one requires less code than you might think. Read on to find out how.
PyPI Has Completed Its First Security Audit
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Articles & Tutorials
Habits of Great Software Engineers
This opinion piece by Vadim highlights some of the key habits of great software builders. Some items are separate from coding, like doing a tech detox and focusing beyond the code, while others are deep in the tech, like the love for tinkering. Associated HN discussion.
Embeddings and Vector Databases With ChromaDB
Vector databases are a crucial component of many NLP applications. This tutorial will give you hands-on experience with ChromaDB, an open-source vector database that’s quickly gaining traction. Along the way, you’ll learn what’s needed to understand vector databases with practical examples.
This article demonstrates complete DataFrame type-hinting in Python, now available with generically defined containers in StaticFrame 2. In addition to usage in static analysis (with Pyright and Mypy), these type hints can be validated at runtime with an included decorator.
CHRISTOPHER ARIZA • Shared by Christopher Ariza
JupyterLab for an Enhanced Notebook Experience
In this tutorial, you’ll learn how to use the JupyterLab authoring environment and what it brings to the popular computational notebook Jupyter Notebook. You’ll learn about its different tools and discover how they can work together to enhance your notebook experience.
Four Kinds of Optimisation
“Premature optimisation might be the root of all evil, but overdue optimisation is the root of all frustration. No matter how fast hardware becomes, we find it easy to write programs which run too slow.” Read on to learn what to do about it.
Python Basics: Modules and Packages
In this Python Basics video course, you’ll learn how to build an application by putting related code into separate files called modules. You’ll also use the import statement to use modules in another file.
REAL PYTHON course
Querying Every File in Every Release on PyPI
Lots of information can be found by delving into the Python Package Index and examining the libraries hosted there. This article shows you what is involved in querying all that data.
Guide to Queues in Python
A queue is a mechanism for storing information in a system, and is a particularly helpful data structure when dealing with multi-processing. Learn all about queues in Python.
Deobfuscating World of Warships’ Python Scripts
An in-depth analysis of how World of Warships obfuscates its game scripts and how to mostly deobfuscate them automatically.
How to (And How Not To) Design REST APIs
Read about common mistakes in REST API design and how best to structure your URLs and use those HTTP verbs.
Database Generated Columns With Django & SQLite
An introduction to database generated columns, using SQLite and the new GeneratedField added in Django 5.0.
Projects & Code
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Regex Crossword: Learn Regexes With This Game
cluestar: Gain Clues From Clustering!
marcel: A Modern Shell
de4py: Toolkit for Python Reverse Engineering
markdown-crawler: Multithreaded Web Crawler
GITHUB.COM/PAULPIERRE • Shared by Paul Pierre