Bookmarks (2402)

Git Internals: Learn by Building Your Own Git Master the basics of git by building your own version in Python using this creative and interactive tutorial. NIKITA LESHENKO

Python Practice Problems: Get Ready for Your Next Interview In this tutorial, you’ll prepare for future interviews by working through a set of Python practice problems that commonly appear in coding tests. You’ll work through the problems yourself and then compare your results with solutions developed by the Real Python team. REAL PYTHON

Array Programming With NumPy In this review published in Nature and co-authored by NumPy creator Travis Oliphant, the authors explore how NumPy increasingly acts as an interoperability layer between array computation libraries like PyTorch and Tensorflow. CHARLES R. HARRIS ET AL

Exceptions as Control Flow Using exceptions as control flow is a practice typically discouraged, and for some good reasons. But is there any time when this approach makes sense? GEORGE opinion

Working With Linked Lists in Python In this course, you’ll learn what linked lists are and when to use them, such as when you want to implement queues, stacks, or graphs. You’ll also learn how to use collections.deque to improve the performance of your linked lists and how to implement linked lists in your own projects. REAL PYTHON course

How to Never Use Lambdas: Python 3 Edition Ever see something so ugly and hideous that you can’t help but stare at it? Here’s a whole collection of Python lambda functions that will have you pulling your hair out while you’re unable to look away. MINEROBBER9000

Unravelling unary arithmetic operators Take a look at how unary operators work under the hood in Python. BRETT CANNON

The mmap() Copy-On-Write Trick: Reducing Memory Usage of Array Copies Memory usage usually scales with the number of copies: if your original array was 1GB of RAM, each copy will take 1GB of RAM. But often, you’re just changing a small part of the array. Ideally, the memory cost would only be the parts of the copies that you changed. Learn how to do this using mmap() copy-on-write with NumPy. ITAMAR TURNER-TRAURING

Numbers in Python In this tutorial, you’ll learn about numbers and basic math in Python. You’ll explore integer, floating-point numbers, and complex numbers and see how perform calculations using Python’s arithmetic operators, math functions, and number methods. REAL PYTHON

Never Shard a Postgres Instance Again! How to Build Your Python Apps on CockroachDB Scale fast, survive anything, thrive everywhere. CockroachDB is an open source, indestructible SQL database for developers building modern applications. Compatible with your favorite Python ORMs, including Django, PonyORM, and SQLAlchemy. COCKROACH LABS sponsor

Python Code Cleanup for Beginners Here are twelve actionable steps you can use to clean-up your Python code to make it look more professional and increase readability. ROMAN IMANKULOV

Dictionary View Objects in Python Learn how to create read-only dictionary-like objects using the MappingProxyType in Python’s types package. JOHN LEKBERG

Building a CRUD App With FastAPI and MongoDB Learn how to develop an an asynchronous REST API with FastAPI and the Motor package with MongoDB. ABDULAZEEZ ABDULAZEEZ ADESHINA • Shared by Abdulazeez Abdulazeez Adeshina

Under the Hood of Calling C/C++ From Python Take a walk through internals of ctypes, libffi, binary extensions, and other tools that power seamless interoperability of CPython and C. ANTON ZHDAN-PUSHKIN • Shared by Anton Zhdan-Pushkin

Data-Oriented Programming in Python Python’s success in scientific and numerical computing is based largely on the performance of libraries like NumPy and SciPy. What is is that makes NumPy so effective, and where is numerical Python is headed in the future? BRIAN KIHOON LEE

Shrink Your Conda Docker Images With conda-pack If you’re building a Docker image that’s based on Conda, the resulting images can be huge. Learn one way to do shrink image sizes, by combining the conda-pack tool with multi-stage builds. ITAMAR TURNER-TRAURING

The Real Python Podcast – Episode #26: 5 Years Podcasting Python with Michael Kennedy: Growth, GIL, Async, and More Why is Python pulling in so many new programmers? Maybe some of that growth is from Python being a full-spectrum language. This week on the show we have Michael Kennedy, the host of the podcast “Talk Python to Me”. Michael reflects on five years of podcasting about Python, and many of the changes he has seen in the Python landscape. REAL PYTHON podcast

Serving a Machine Learning Model with FastAPI and Streamlit Both FastAPI and Streamlit are quickly gainaing popularity in the Python ecosystem. Learn how to use them together to deploy a machine learning model with a fast API and modern web interface. AMAL SHAJI • Shared by Amal Shaji

Command Line Interfaces in Python Command line arguments are the key to converting your programs into useful and enticing tools that are ready to be used in the terminal of your operating system. In this course, you’ll learn their origins, standards, and basics, and how to implement them in your program. REAL PYTHON course

Plot With Pandas: Python Data Visualization for Beginners In this tutorial, you’ll get to know the basic plotting possibilities that Python provides in the popular data analysis library pandas. You’ll learn about the different kinds of plots that pandas offers, how to use them for data exploration, and which types of plots are best for certain use cases. REAL PYTHON

Reading HTML Tables With Pandas The pandas read_html() function can quickly scrape data from HTML tables. Learn how to use it, as well as some techniques for cleaning HTML data. CHRIS MOFFITT

Exploring Euler’s Methods for Solving ODEs A great way to get comfortable with math concepts is to program them, and Python is a great language for exploring mathematical ideas, even if it’s not always the most efficient. HASSAM UDDIN

From Concept to Live in Two Weeks With Django How can you build a fully functional web application for a customer in a short period of time? Matt shares his experience building such a web app for a nonprofit organization while participating in a local virtual hackathon in Frederick, MD. MATT LAYMAN

Python 101: An Intro to Working With JSON Learn the basics of working with JSON with Python. MIKE DRISCOLL

Discover the Role of Python in Space Exploration In this learning path from Microsoft, you’ll get an introduction to Python, and be inspired to learn, discover, and create using Python-based data science and machine learning to help generate knowledge about the world beyond Earth. MICROSOFT

[Free] Ray Summit Sep 30 - Oct 1: Scalable Python & Machine Learning For Everyone See how Ray, the open-source Python framework, is used for building distributed apps and libraries, including backend infrastructures and ML platforms. Join Ray Summit to connect with the community and learn to build any application at any scale. ANYSCALE sponsor

Building A Concurrent Web Scraper With Python and Selenium Learn how to speed up your web scrapers with some multithreading. POSTED BY CALEB POLLMAN CALEB POLLMAN • Shared by Michael Herman