Bookmarks (2649)

Regular Expressions and Building Regexes in Python In this course, you’ll learn how to perform more complex string pattern matching using regular expressions, or regexes, in Python. You’ll also explore more advanced regex tools and techniques that are available in Python. REAL PYTHON course

My Students Challenged Me to Write the Smallest Graphical User Interface That Includes Actual User Interaction REDDIT

10 Python Skills They Don’t Teach in Bootcamp Here are ten practical and little-known pandas tips to help you take your skills to the next level. NICOLE JANEWAY BILLS

Using Python’s bisect module Python’s bisect module has tools for searching and inserting values into sorted lists. It’s one of his “batteries-included” features that often gets overlooked, but can be a great tool for optimizing certain kinds of code. JOHN LEKBERG

How to Use Serializers in the Django Python Web Framework Serialization transforms data into a format that can be stored or transmitted and then reconstructs it for use. There are some quick-and-dirty ways to serialize data in pure Python, but you often need to perform more complex actions during the serialization process, like validating data. The Django REST Framework has some particularly robust and...

Sentiment Analysis, Fourier Transforms, and More Python Data Science Are you interested in learning more about Natural Language Processing? Have you heard of sentiment analysis? This week on the show, Kyle Stratis returns to talk about his new article titled, Use Sentiment Analysis With Python to Classify Movie Reviews. David Amos is also here, and all of us cover another batch of PyCoder’s Weekly...

Formatting Python Strings In this course, you’ll see two items to add to your Python string formatting toolkit. You’ll learn about Python’s string format method and the formatted string literal, or f-string. You’ll learn about these formatting techniques in detail and add them to your Python string formatting toolkit. REAL PYTHON course

Spend Less Time Debugging, and More Time Building with Scout APM Scout APM uses tracing logic that ties bottlenecks to source code to give you the performance insights you need in less than 4 minutes! Start your free 14-day trial today and Scout will donate $5 to the OSS of your choice when you deploy. SCOUT APM sponsor

When You Import a Python Package and It Is Empty Did you know Python has two different kinds of packages: regular packages and namespace packages? It turns out that trying to import a regular package when you don’t have the right permissions causes Python to import it as a namespace package, and some unexpected things happen. PETR ZEMEK

Python Extensions with Rust and Go Python extensions are a great way to leverage performance from another language while keeping a friendly Python API. How viable are Rust and Go for writing Python extensions? Are there reasons to use one over the other? BRUCE ECKEL

Split Your Dataset With scikit-learn’s train_test_split() In this tutorial, you’ll learn why it’s important to split your dataset in supervised machine learning and how to do that with train_test_split() from scikit-learn. REAL PYTHON

IPython for Web Devs This free, open-source book will help you learn more about IPython, a rich toolkit that helps you make the most out of using Python interactively. ERIC HAMITER

Add a New Dimension to Your Photos Using Python Learn how to add some motion and a third dimension to a photo using depth estimation and inpainting. DYLAN ROY

Synthetic Data Vault (SDV): A Python Library for Dataset Modeling Creating realistic data for testing applications can be difficult, especially when you have complex data requirements and privacy concerns make using real data problematic. Enter Synthetic Data Vault, a tool for modeling datasets that closely preserves important statistics, like mean and standard variation. ESMAEIL ALIZADEH

Python enumerate(): Simplify Looping With Counters Once you learn about for loops in Python, you know that using an index to access items in a sequence isn’t very Pythonic. So what do you do when you need that index value? In this tutorial, you’ll learn all about Python’s built-in enumerate(), where it’s used, and how you can emulate its behavior. REAL PYTHON

Reproducible and Upgradable Conda Environments: Dependency Management With conda-lock If your application uses Conda to manage dependencies, you face a dilemma. On the one hand, you want to pin all your dependencies to specific versions, so you get reproducible builds. On the other hand, once you’ve pinned everything, upgrades become difficult. Enter conda-lock. ITAMAR TURNER-TRAURING

Running Python on .NET 5 Pyjion is an alternative to the CPython runtime that compiles Python to ECMA CIL and uses .NET common language runtime to compile the CIL to machine code. Learn how Pyjion works, how it compares to other Python runtimes, and what the future holds for the project. ANTHONY SHAW

Hunting for Malicious Packages on PyPI Jordan Wright installed every package on PyPI to look for malicious content. And he didn’t just inspect code, he actually ran the packages. Brave soul! Learn how he set-up this project and what he learned on his adventure. JORDAN WRIGHT

Emulating Quantum Computing With Python Learn how to use Python for quantum computing with the QuTiP package, including an introduction to qubits and noise in quantum systems. DANTE SBLENDORIO

Wrapping C++ With Cython, Part I Learn how to wrap a C++ library with Cython in order to expose a Python API. ANTON ZHDAN-PUSHKIN • Shared by Anton ZHdan-Pushkin

Python and PyQt: Creating Menus, Toolbars, and Status Bars In this step-by-step tutorial, you’ll learn how to create, customize, and use Python menus, toolbars, and status bars for creating GUI applications using PyQt. REAL PYTHON

5 Uses of Asterisks in Python You probably know the * operator as the multiplication operator in Python. But did you know that there are four other uses for it that have nothing to do with multiplication? YANG ZHOU

Introduction to Linear Algebra for Applied Machine Learning With Python Need a quick reference for Linear Algebra? Look no further! This collection of notes covers all of the fundamentals and includes sample code in Python. PABLO CACERES

73 Examples to Help You Master Python’s f-Strings f-Strings might be one of the most beloved features in Python 3.6+. Here are 73 examples of how to use f-strings to improve your Python code. MIGUEL BRITO

The Real Python Podcast – Episode #35: Security and Authorization in Your Python Web Applications So you built a web application in Python. Now how are you going to authorize users? Security goes beyond authentication. Who gets to do what, where, and when? This week on the show, we have Sam Scott, chief technology officer from Oso. Oso is an open-source policy engine for...

Our Experience With Hypothesis Testing (And Why Do We Love It So Much!) The developers of Parsec, an open-source file-sharing solution, found themselves with a complex set of interacting components. In this article, the developers share how the hypothesis testing framework has made testing their application easier. PARSEC

Make a Hugo Static Blog Inside a Django App Can you build a statically generated blog into your Django app without using a subdomain, Django’s static files, or a reverse proxy? Yes, you can! Learn how and when you might use this approach in Matt Layman’s latest article. MATT LAYMAN • Shared by Matt Layman

Python Pitfalls: Expecting the Unexpected Save yourself hours of debugging by avoiding these common gotchas and pitfalls in your Python code. MARTIN HEINZ • Shared by Martin Heinz

Kickstarter Projects: Do They Succeed? Find out if Kickstarter projects succeed from a data science perspective. ADITYA PAKAR

PyPy: Faster Python With Minimal Effort In this tutorial, you’ll learn how you can use PyPy to improve the speed of your applications. You’ll see how PyPy compares with other Python implementations like CPython and learn about features that you can use to gain significant performance boosts without making changes to your code. REAL PYTHON