| Several Stdlib Methods With Only Positional Arguments Will Be 30-70% Faster in Python 3.8 |
Wow, this is great. Optimization work done by Serhiy Storchaka will make several functions/methods with only positional arguments in the Python stdlib faster. This will land in Python 3.8. Also see the related discussion on Reddit.
Jupyter Notebook: An Introduction
Learn how to get started with The Jupyter Notebook, an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text.
Find a Python Job Through Vettery
Vettery specializes in developer roles and is completely free for job seekers. Interested? Submit your profile, and if accepted onto the platform, you can receive interview requests directly from top companies seeking Python developers. Get started →
Running Flask on Kubernetes
A step-by-step walkthrough of how to deploy a Flask-based microservice (along with PostgreSQL and Vue.js) to a Kubernetes cluster.
Modules and Packages: How to Create a Python Project
Learn the rationale behind Python modules, the differences between modules and packages, and how the two things interact together.
High-Performance in Python With Zero-Copy and the Buffer Protocol
buffer protocol to achieve low memory overhead and improved performance in your data crunching programs. Nice writeup!
My Path to Becoming a Python Core Developer
The story of how Emily Morehouse became a Python Core Developer. Also check out this recent interview with Emily.
EMILYEMOREHOUSE.COM • Shared by Ricky White
The “Bug-O” Notation
python From the Shell Invoke Python 3 or 2?
GITHUB.COM/PYTHON • Shared by Python Bytes FM
Ah, the Old Python Packaging Issue…
Support the PSF While You Shop at Amazon
Classes vs Functions: When to Use Which and Why?
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Articles & Tutorials
Building a Python Data Science Container Using Docker
How to package all the software required for a Python data science stack to run inside a Docker image.
Python Was Originally Developed for the Amoeba OS
Nice little piece of Python history. Did you know that Python was originally developed for a microkernel-OS called Amoeba? Me neither!
Code Faster With Kite’s New Line-of-Code Completions
Kite releases Line-of-Code Completions and goes off the cloud. Take Kite’s new AI-powered Python auto-complete plugin for a spin. It’s free. #Python #AI Compatible with Atom, Sublime, VSCode, IntelliJ, PyCharm, Vim. Download Now. It’s Free →
Stacks and Queues in Python
Covers the basics of working with these two common data structures in Python.
Using Pandas to Create an Excel Diff
How to use pandas to create a diff tool that compares two similar Excel spreadsheets. I’m sure this will come in handy one day.
Python’s Requests Library (Guide)
In this tutorial on Python’s “requests” library, you’ll see some of the most useful features that requests has to offer as well as how to customize and optimize those features. You’ll learn how to use requests efficiently and stop requests to external services from slowing down your application.
Inverting Facial Recognition Models
Or: Can we teach a neural net to convert face embedding vectors back to images? Nice writeup!
Interesting “refactoring postmortem” on a piece of Python code that was slow and difficult to work with.
Analyzing My Spotify Library With Jupyter and Pandas
VLADISLAV SUPALOV • Shared by Vladislav Supalov
Intro to Using SQLite3 With Python
Covers the basics of working with SQLite databases. Lean how to create, select, update, and delete rows in SQLite3 databases using Python.
Rendering GPS Traces With Python
“If you ask a bunch of people to upload GPS traces when they walk/drive and you combine those traces, you can get a rudimentary map.”
Projects & Code
onelinerizer: Convert Any Python File Into a Single Line of Code
With great power comes great responsibility…
dataclass-csv: Map CSV to Data Classes
Use Python 3.7 dataclasses instead of dictionaries to represent CSV rows, with automatic type validation and conversion. Cool!
Airtest: UI Test Automation Framework for Games and Apps
A cross-platform automated testing framework focusing mainly on games, but it can also be used for native apps. Windows and Android are currently supported; iOS support is in open beta now.
click-web: Easily Serve
click CLI Scripts Over the Web
subprocess.popen() Easier to Use
dpaste-magic: Easily Share Jupyter Code Cells With Others
taxes-2018: Fills Out Forms for 2018 US Tax Returns
Don’t fire your accountant just yet…but maybe forward them this link ;-)