AI speeds up coding. But it also speeds up bugs, vulnerabilities, and tech debt. Traditional code reviews can’t keep up. That's where Sourcery comes in. Automated code reviews designed for security and speed.
Pysa: An open source static analysis tool to detect and prevent security issues in Python code Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code. Last year, we shared how we built Zoncolan, a static analysis tool that helps us analyze more than 100 million lines of Hack code and has helped engi
Hello! You've reached the official source code repository for Effective Python: Third Edition. To learn more about the book or contact the author, please visit the official website. In this repository you can browse all of the source code included in the book. Each item has its own file or directory containing the example code. Each file is annotated with which example snippet it came from within
Update (August 19): We’ve released Tabnine Local, which lets you run Deep Tabnine on your own machine. TL;DR: Tabnine is an autocompleter that helps you write code faster. We’re adding a deep learning model which significantly improves suggestion quality. You can see videos below and you can sign up for it here. There has been a lot of hype about deep learning in the past few years. Neural network
Project Python is a free interactive book that will teach you to code in Python, using graphics, animations, and games. You’ll also learn ways to solve classical computer science problems, principles of software design, and how to analyze algorithm performance. No prior experience required; you’ll write code to draw a smiley face by the end of the first chapter. By Devin Balkcom, with significant
“Any color you like.” Black is the uncompromising Python code formatter. By using it, you agree to cede control over minutiae of hand-formatting. In return, Black gives you speed, determinism, and freedom from pycodestyle nagging about formatting. You will save time and mental energy for more important matters. Blackened code looks the same regardless of the project you're reading. Formatting beco
July 2017 Summary: Based on a Forth pentomino puzzle solver that my dad wrote and refined over the years, I wrote a version in Python. It uses a brute force (but clever) approach using code generation to find all 2339 tilings of the 12 free pentominoes on a 6x10 board. Programming and pentominoes My now-retired father was a full-time pastor and a hacker on the side. His enthusiasm for nerdy things
「コードレビューをキメると品質も上がるし自分のレベルも上がるので最高」みたいな論が巷を賑わせていて、以前はそういうイケてる制度を指をくわえてみるのみだったのだけれど、最近職場と、それと個人的に関わったプロジェクトでコードレビュー制を無理矢理交渉して導入してみた結果、世間のイケてる書籍やエントリから得られる情報とはまた少し違う知見が得られたので書いてみる。 割と泥臭かったり、あまり希望に溢れてたりはしない感じのエントリなのでそういうのは期待しないほうがいいです。 準備 些末なコードレビューを極力避けるために、コードの規約やスタイルについてはlintとフォーマッターを用意した。 他は無策。 結論 結論から言うと、理想的な運用は出来なかったものの、コードレビューについて世間で言われるような成果(作業を共有する意識、レベルの向上)は得られた。良かった。 ぶっちゃけ僕なんかが浅はかな考えで導入しても
VERY IMPORTANT NOTICE, PLEASE, READ CAREFULLY New versions of this plugin only works with Python >= 3.6 and requires Sublime Text 4 build >= 4107 This means versions higher than 2.2.3 will not work in Sublime Text 3 For Sublime Text 3 Users If for whatever reason you can not - you do not want to upgrade to Sublime Text 4, remove Anaconda from your setup using Package Control, download v2.2.3, unpa
with Sublime Package Control Open command pallet (default: ctrl+shift+p) Type package control install and select command Package Control: Install Package Type Jedi and select Jedi - Python autocompletion Additional info about to use Sublime Package Control you can find here: http://wbond.net/sublime_packages/package_control/usage. Settings Python interpreter settings By default SublimeJEDI will us
Python PEP8 Autoformat is a Sublime Text (2|3) plugin to interactively reformat Python source code according to PEP8 (Style Guide for Python Code). Details Version 2016.01.08.10.56.38 Homepage bitbucket.org Issues bitbucket.org Modified 10 years ago Last Seen 5 years ago First Seen 13 years ago Nov 25 Nov 24 Nov 23 Nov 22 Nov 21 Nov 20 Nov 19 Nov 18 Nov 17 Nov 16 Nov 15 Nov 14 Nov 13 Nov 12 Nov
Dec 27, 2014I made this project about a year ago. At that time, I just started it for The GitHub Data Challenge II. So, it was very simple and concise implementaion for proof of concept. I've been aggregated convention data for a year. However, It is not analyze conventions of our codes deeply. I think therefore it's meaningless to keep aggregating more data. Finally, I decided to stop aggregating
written on February 01, 2011 One of the perceived features of a dynamic programming language like Python is the ability to execute code from a string. In fact many people are under the impression that this is the main difference between something like Python and C#. That might have been true when the people compared Python to things like C. It’s certainly not a necessarily a feature of the languag
We’re thrilled to announce the Runnable team is joining MuleSoft. This is an incredible opportunity for us to expand our vision of empowering developers to test changes without the infrastructure bottleneck; we couldn’t be more excited to work with MuleSoft to continue our journey. As apart of this transition, we’re shutting down service for all Runnable accounts. To those we had the joy of servin
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