The spirit of this post is to give some visibility to these libraries, as well as generate discussion (in the comments or elsewhere) around some other great picks we may have missed — which we are sure there are. So, without further ado, let's get to it. 1. Typer You don't always need to write CLI applications, but it better be a hassle-free experience when you do. Following the great success of F
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
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
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
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
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