Top Python libraries of 2020
Welcome to the sixth yearly edition of our Top Python Libraries list! The rules are simple. We are looking for libraries that satisfy the following conditions: They were launched or popularized in 2020.They are well maintained and have been since their launch data.They are outright cool, and you should check them out.Disclaimer: this year, our picks are heavily influenced by machine learning / dat
GitHub - scanny/python-pptx: Create Open XML PowerPoint documents in Python
python-pptx is a Python library for creating, reading, and updating PowerPoint (.pptx) files. A typical use would be generating a PowerPoint presentation from dynamic content such as a database query, analytics output, or a JSON payload, perhaps in response to an HTTP request and downloading the generated PPTX file in response. It runs on any Python capable platform, including macOS and Linux, and
GitHub - EntilZha/PyFunctional: Python library for creating data pipelines with chain functional programming
PyFunctional makes creating data pipelines easy by using chained functional operators. Here are a few examples of what it can do: Chained operators: seq(1, 2, 3).map(lambda x: x * 2).reduce(lambda x, y: x + y) Expressive and feature complete API Read and write text, csv, json, jsonl, sqlite, gzip, bz2, and lzma/xz files Parallelize "embarrassingly parallel" operations like map easily Complete docu
GitHub - readbeyond/aeneas: aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment. For example, given this text file and this audio file, aeneas determines, for each fragment, the corresponding time interval in the audio file: 1 => [00:00:00.000, 00:00:
GitHub - chardet/chardet: Python character encoding detector
import chardet chardet.detect(b"Hello, world!") # {'encoding': 'ascii', 'confidence': 1.0, 'language': 'en'} # UTF-8 with typographic punctuation chardet.detect("It\u2019s a lovely day \u2014 let\u2019s grab coffee.".encode("utf-8")) # {'encoding': 'utf-8', 'confidence': 0.99, 'language': 'es'} # Japanese EUC-JP chardet.detect("これは日本語のテストです。文字コードの検出を行います。".encode("euc-jp")) # {'encoding': 'EUC-JP'
Top 20 Python Machine Learning Open Source Projects, updated - KDnuggets
Top 20 Python Machine Learning Open Source Projects, updated Open Source is the heart of innovation and rapid evolution of technologies, these days. This article presents you Top 20 Python Machine Learning Open Source Projects of 2016 along with very interesting insights and trends found during the analysis. Continuing analysis from last year: Top 20 Python Machine Learning Open Source Projects, t
Top 10 Python libraries of 2016
Last year, we did a recap with what we thought were the best Python libraries of 2015, which was widely shared within the Python community (see post in r/Python). A year has gone by, and again it is time to give due credit for the awesome work that has been done by the open source community this year. Again, we try to avoid most established choices such as Django, Flask, etc. that are kind of stan
GitHub - kennethreitz/maya: Datetimes for Humans™
Datetimes are very frustrating to work with in Python, especially when dealing with different locales on different systems. This library exists to make the simple things much easier, while admitting that time is an illusion (timezones doubly so). Datetimes should be interacted with via an API written for humans. Maya is mostly built around the headaches and use-cases around parsing datetime data f
GitHub - iiSeymour/chromote: Simple wrapper to drive Google Chrome from Python
>>> from chromote import Chromote >>> chrome = Chromote() >>> chrome Chromote(host="localhost", port=9222) >>> print chrome [Chromote(tabs=1)] >>> tab = chrome.tabs[0] >>> print tab Google - https://www.google.co.uk/ >>> print tab.url https://www.google.co.uk/ >>> tab.reload() '{"result":{},"id":1}' >>> tab.set_url('https://github.com/chromote') '{"id":2,"result":{}}' >>> tab.set_zoom(1.2) '{"id":
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GitHub - Pytlicek/sheet2dict: Simple XLSX and CSV to dictionary converter
GitHub - google-deepmind/tree: tree is a library for working with nested data structures
GitHub - encode/httpx: A next generation HTTP client for Python. 🦋
py3readiness.org
GitHub - google/python-fire: Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Safety: Software Supply Chain Security for Data Teams
GitHub - emcconville/wand: The ctypes-based simple ImageMagick binding for Python
GitHub - Zemanta/py-secretcrypt: Keeping secrets in plain sight