Issue #612

Python & Excel, JIT, NumPy 2, and More

Jan. 16, 2024

Python & Excel, JIT, NumPy 2, and More
The PyCoder’s Weekly Logo
Exploring Python in Excel
Are you interested in using your Python skills within Excel? Would you like to share a data science project or visualization as a single Office file? This week on the show, we speak with Principal Architect John Lam and Sr. Cloud Developer Advocate Sarah Kaiser from Microsoft about Python in Excel.

Python 3.13 Gets a JIT
This article does a deeper dive into the JIT recently added to the CPython 3.13 pre-release. This JIT is a bit different, it is called a copy-and-patch JIT, and the post explains what that means.

Build Invincible Apps With Temporal’s Python SDK
Get an introduction to Temporal’s Python SDK by walking through our easy, free tutorials. Learn how to build Temporal applications using Python, including building a data pipeline Workflow and a subscription Workflow. Get started here →

NumPy 2 Is Coming: Preventing Breakage, Updating Your Code
NumPy 2 is coming, and it’s backwards incompatible. Learn how to keep your code from breaking, and how to upgrade.

PSF Says: EU’s Cyber Resilience Act Has Wins for Open Source

Articles & Tutorials

Learn From 2023’s Most Popular Python Tutorials and Courses
Revisit your favorite Real Python tutorials and video courses from 2023. Explore various topics, from Python basics to web development, machine learning, and effective coding environments. It’s been a busy year of learning, and there’s something for everyone to discover and build upon in 2024.

Python’s Array: Working With Numeric Data Efficiently
In this tutorial, you’ll dive deep into working with numeric arrays in Python, an efficient tool for handling binary data. Along the way, you’ll explore low-level data types exposed by the array module, emulate custom types, and even pass a Python array to C for high-performance processing.

Data Deduplication in Python with RecordLinkage
Duplicate detection is a critical process in data preprocessing, especially when dealing with large datasets. In this tutorial, you will explore data deduplication using Python’s RecordLinkage package, paired with Pandas for data manipulation.
PATRYK SZLAGOWSKI • Shared by Izabela Pawlik

The Curious Case of Pydantic and the 1970s Timestamps
When parsing Unix timestamps, Pydantic guesses whether to interpret them in seconds or milliseconds. While this is certainly convenient and works most of the time, it can drastically (and silently) distort timestamps from a few decades ago.
ARIE BOVENBERG • Shared by Arie Bovenberg

A Critical Supply Chain Attack on PyTorch
This post describes how coders found an exploit in the PyTorch supply chain, leaving the repo and its maintainers up for attack. Full details on what the vulnerability was and how to avoid the problem in your own repos is covered.

Comparing Coroutines, by Example, in Kotlin and Python
This series of 3 articles compares Python and Kotlin, with a focus on coroutines and generators. It compares, through examples, how coroutines are used in both languages, to read files and perform network requests.
MEDIUM.COM • Shared by Carmen Alvarez

Enhance Your Flask Web Project With a Database
Adding a database to your Flask project elevates your web app to the next level. In this tutorial, you’ll learn how to connect your Flask app to a database and how to receive and store posts from users.

SQLALchemy vs Django ORM
If you are working with Django ORM most of the time and then switching to SQLAlchemy, you may face some unexpected behavior. This post describes the most important differences between them.

Annotating *args and **kwargs in Python
“Typing *args and **kwargs has always been a pain since you couldn’t annotate them precisely before.” This article shows you what your options are when typing function signatures.

Python Gotcha: Modifying a List While Iterating
Python makes it easy to modify a list while you are iterating through it’s elements. This will bite you. Read on to find out how and what can be done about it.

A Deep Dive Into Python’s functools.wraps Decorator
Take a deep dive into Python’s functools.wraps decorator to learn how it maintains metadata in your code. A concise guide to effective decorator use.

max() is broken
The built-in function max in Python is broken and this article explains why, drawing parallels with other programming and mathematics concepts.
MATHSPP.COM • Shared by Rodrigo Girão Serrão

All PyCon 2023 (US and AU) Talks Sorted by the View Count
A full list of PyCon talks given in the US and Australia which are available on YouTube, and sorted by popularity.

Projects & Code

Brought to you by Real Python for Teamssponsor
Online Python training created by a community of experts. Give your team the real-world Python skills they need to succeed →

PikaPython: Python Interpreter in 4KB of RAM

Fontimize: Optimize Fonts to the Glyphs on Your Site

instructor: Structured Outputs for LLMS

Pint: Units for Python

📆🐍 Upcoming Python Events

Weekly Real Python Office Hours Q&A (Virtual)
January 17, 2024

PyData Bristol Meetup
January 18, 2024

PyLadies Dublin
January 18, 2024

Chattanooga Python User Group
January 19 to January 20, 2024

IndyPy: Models & AI For Dummies (Hybrid)
January 23, 2024
Happy Pythoning!
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