ソニーがディープラーニング用“コアライブラリ”をオープンソース化
Top 15 Python Libraries for Data Science in 2017
As Python has gained a lot of traction in the recent years in Data Science industry, I wanted to outline some of its most useful libraries for data scientists and engineers, based on recent experience. And, since all of the libraries are open sourced, we have added commits, contributors count and other metrics from Github, which could be served as a proxy metrics for library popularity. Core Libra
Welcome to Faker’s documentation! — Faker 40.15.0 documentation
Welcome to Faker’s documentation!¶ Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Faker is heavily inspired by PHP Faker, Perl Faker, and by Ruby Faker. _|_|_|_| _| _| _|_|_| _| _| _|_| _| _|_|
Generating Fake Data for Python Unit Tests with Faker - Semaphore
Published: 3 May 2017 • Updated: 23 Apr 2021 · 23 Apr 2021 · Software Engineering · 8 min read Introduction When writing unit tests, you might come across a situation where you need to generate test data or use some dummy data in your tests. If you already have some data somewhere in a database, one solution you could employ is to generate a dump of that data and use that in your tests (i.e. fixtu
PyQtGraph - Scientific Graphics and GUI Library for Python
PyQtGraph is a pure-python graphics and GUI library built on PyQt / PySide and numpy. It is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Ba
GitHub - vinta/awesome-python: An opinionated list of Python frameworks, libraries, tools, and resources
Libraries for building AI applications, LLM integrations, and autonomous agents. Agent Skills django-ai-plugins - Django backend agent skills for Django, DRF, Celery, and Django-specific code review. sentry-skills - Python-focused engineering skills for code review, debugging, and backend workflows. trailofbits-skills - Python-friendly security skills for auditing, testing, and safer backend devel
Pythonエンジニアが紹介する、Pythonの超便利なライブラリ・フレームワーク13個 -
Photo by hoerner_brett 秋山です。 私は主にPythonを使って開発をしているので、今回はPythonの便利なライブラリやフレームワークを紹介していきたいと思います。 といっても割と定番のものを中心に使っているので、既にPythonをがんがん使っている人にとっては「知ってるわ！」というものも多いかと思います。「最近Python書くようになりました～」という人たちにも「これ良い！」ってものが見つかればと思います。 ちなみに前回はPython2系と3系の違いについて書いてますので、「3系に移行しよっかなー」と考えている人は合わせて見てみてください。 paiza.hatenablog.com ■Pythonの便利なライブラリやフレームワーク ◆Web開発系フレームワーク ◇Django みんな大好き有名なDjango。RubyでいうところのRailsのような……全部のせ的な
RQ: Simple job queues for Python
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis/Valkey and is designed to have a low barrier to entry. It integrates easily with your web or application stack. RQ requires Redis >= 5 or Valkey >= 7.2. Getting Started First, run a Redis/Valkey server. To put jobs on queues, you don’t have to do anything special,
Welcome to Paramiko! — Paramiko documentation
Welcome to Paramiko!¶ Paramiko is a pure-Python [1] implementation of the SSHv2 protocol [2], providing both client and server functionality. It provides the foundation for the high-level SSH library Fabric, which is what we recommend you use for common client use-cases such as running remote shell commands or transferring files. Direct use of Paramiko itself is only intended for users who need ad
pyjnius 1.6.1 documentation
Welcome to Pyjnius# Pyjnius is a Python library for accessing Java classes. It either starts a new JVM inside the process, or retrieves the already surrounding JVM (for example on Android). This documentation is divided into differents parts. We recommend you to start with Installation, and then head over to the Quickstart. You can also check Android for specific example for the Android platform.
Keras Documentation
KERAS 3.0 RELEASED A superpower for ML developers Keras is a deep learning API designed for human beings, not machines. Keras focuses on debugging speed, code elegance & conciseness, maintainability, and deployability. When you choose Keras, your codebase is smaller, more readable, easier to iterate on. inputs = keras.Input(shape=(32, 32, 3)) x = layers.Conv2D(32, 3, activation="relu")(inputs) x =
windowsでpython環境構築 - Qiita
WindowsでLinuxやMac環境のようにpythonを使うための手順 参考 コマンドプロンプトからの脱却 cmder インストール http://cmder.net/ でDownload Fullからダウンロード これでgitとかsshとかcdとかlsとか．．．使えるようになる chocolatey インストール cmderで以下実行 @powershell -NoProfile -ExecutionPolicy Bypass -Command "iex ((new-object net.webclient).DownloadString('https://chocolatey.org/install.ps1'))" && SET PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin これでchoco install ~ で色々インストールできるよ
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SciPy - SciPy.org
GitHub - Autodesk/animx: A project to make it easier for people to use Maya animation in their tools and pipelines.
Curio — Curio 1.2 documentation
GitHub - google/python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Awesome Python
pyglet / pyglet / wiki / Home — Bitbucket
GitHub - csvoss/onelinerizer: Shamelessly convert any Python 2 script into a terrible single line of code
coral/README.md at master · davidcorral/coral · GitHub