Bookmarks (2114)

Massive Memory Overhead: Numbers in Python and How NumPy Helps In Python, everything is an object. Even numbers. While this has advantages, objects have a memory overhead that might be unexpected. While this overhead is often negligible, it might be the difference between 8GB and 35GB in extreme cases. ITAMAR TURNER-TRAURING

[Career Track] Data Scientist With Python Are you just learning Python, super experienced, or somewhere in between? Get hands-on experience with some of the most popular Python libraries and work with real-world datasets to learn statistics, machine learning techniques, and more → DATACAMP INC sponsor

Ten Reasons to Use StaticFrame Instead of Pandas For those coming from pandas, StaticFrame offers a more consistent interface and reduces opportunities for error. This article demonstrates ten reasons you might use StaticFrame instead of Pandas. CHRISTOPHER ARIZA • Shared by Christopher Ariza

How to Use the Python Filter Function Python’s built-in filter() function can be used to create a new iterator from an existing iterable with certain elements removed based on some criterion. KATHRYN HANCOX

Thinking in Pandas: Python Data Analysis the Right Way Are you using the Python library Pandas the right way? Do you wonder about getting better performance, or how to optimize your data for analysis? What does normalization mean? This week Hannah Stepanek joins the podcast to discuss her new book “Thinking in Pandas”. REAL PYTHON podcast

Object-Oriented Programming (OOP) in Python 3 In this freshly updated OOP tutorial, you’ll learn all about object-oriented programming in Python. You’ll learn the basics of the OOP paradigm and cover concepts like classes and inheritance. REAL PYTHON

Tutorial: Add a Column to a Pandas DataFrame Based on an If-Else Condition If you’re new to pandas, you might be tempted to add a column to a DataFrame based on a condition using an if statement. But there’s a better way! CHARLIE CUSTER • Shared by Charlie Custer

Darts: Time Series Made Easy in Python Darts is a new library from Unit8 that offers a single package for end-to-end machine learning on time series. JULIEN HERZEN

Announcing Pylance: Fast, Feature-Rich Language Support for Python in Visual Studio Code Pylance is a new Python language server for VS Code based on Microsoft’s Pyright static type checking tool. With Pylance, you get type information in function signatures and when hovering on symbols, auto import suggestions, type checking diagnostics, and so much more! SAVANNAH OSTROWSKI

Python Async Frameworks: Beyond Developer Tribalism In light of some recent and, at times, heated discussions regarding asynchronous programming in Python, Django Rest Framework’s creator Tom Christie calls on the community to embrace a more collaborative spirit. TOM CHRISTIE

“Learn Python Programming” Humble Bundle Everything you need to learn Python programming and make it stick. Support Pythonic charities like the PSF and get Python books, software, and video courses collectively valued at $1,400 for a pay-what-you-want price → HUMBLEBUNDLE.COM sponsor

A Contrarian View on Closing Files You’ve may have heard that the “right” way to open a file in Python is to use the open() function inside of a with statement. But is that always the right choice? ARIC COADY opinion

Flask Project Setup: TDD, Docker, Postgres and More Learn one way to set-up a Flask project, including how to handle project requirements, configuration and environment variables, writing and running tests, and containerizing the application with Docker. When you’re done reading part one at the link above, check out part two. LEONARDO GIORDANI

Get Started With Django Part 2: Django User Management In this step-by-step tutorial, you’ll learn how to extend your Django application with a user management system, complete with email sending and third-party authentication. REAL PYTHON

Deploying and Hosting a Machine Learning Model With FastAPI and Heroku Getting machine learning models into production is an often-overlooked topic. Learn how to serve a model in just a handful of lines of Python using FastAPI and Heroku. MICHAEL HERMAN • Shared by Michael Herman

What Is the Core of the Python Programming Language? Last week we featured Brett Cannon’s article with the same title. Well, the post has generated quite a discussion on Hacker News. HACKER NEWS

Why Do NaN Values Make min() and max() Sensitive to Order? How NaNs compare to numerical values and the implications of that in min() and max() might be surprising. STACK OVERFLOW

Why Do People Use .format() When f-Strings Exist? f-Strings aren’t exactly a drop-in replacement for .format(). REDDIT

A Labyrinth of Lies What should you do after watching 1986’s puppet-laden musical fantasy Labyrinth? Code up the guard scene in Python, of course! After you read Moshe’s solution to the infamous “Two Door Riddle” at the link above, check out Glyph Lefkowitz‘s “professionalized” version of the code. MOSHE ZADKA

Python’s reduce(): From Functional to Pythonic Style In this step-by-step tutorial, you’ll learn how Python’s reduce() works and how to use it effectively in your programs. You’ll also learn some more modern, efficient, and Pythonic ways to gently replace reduce() in your programs. REAL PYTHON

Boston Dynamics Now Sells a Robot Dog to the Public, And You Can Program It With Python It only took 28 year, but now you can have your very own robot dog. If you can stomach the price tag, that is. But hey, it’s got a Python SDK! RON AMADEO

How to Trick a Neural Network in Python 3 Is that a corgi or a goldfish? ALVIN WAN

What Is the Purpose of Floating Point Index in Pandas? Considering issues like floating-point representation error, is it ever a good idea to use a float as an index? STACK OVERFLOW

Why Is math.sqrt Massively Slower Than Exponentiation? Is it, though? The square root of 2 might not be a good value for timing comparisons. STACK OVERFLOW

The Python heapq Module: Using Heaps and Priority Queues Explore the heap and priority queue data structures. You’ll learn what kinds of problems heaps and priority queues are useful for and how you can use the Python heapq module to solve them. REAL PYTHON

Speeding Up Function Calls With Just One Line in Python The lru_cache decorator allows you to take advantage of memoization to optimize function calls. HACKEREGG.GITHUB.IO

Unicode in Python: Working With Character Encodings In this course, you’ll get a Python-centric introduction to character encodings and Unicode. Handling character encodings and numbering systems can at times seem painful and complicated, but this guide is here to help with easy-to-follow Python examples. REAL PYTHON

Street Lanes Finder: Detecting Street Lanes for Self-Driving Cars [2019) Learn how to use OpenCV to detect street lanes in an image of a road. GREG SURMA

Clinging to Memory: How Python Function Calls Can Increase Your Memory Usage One of the advantages Python has over a language like C is that you don’t have to worry about how memeory is freed up during program execution. But sometimes Python’s memory management doesn’t work the way you’d expect. ITAMAR TURNER-TRAURING