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12 | 12 |
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13 | 13 | [Python Developer’s Guide](https://devguide.python.org) is a comprehensive resource for contributing to Python – for both new and experienced contributors. It is maintained by the same community that maintains Python. |
14 | 14 |
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| 15 | +[Getting Started with Python in Visual Studio Code](https://code.visualstudio.com/docs/python/python-tutorial) |
| 16 | + |
15 | 17 | [Azure Functions Python developer guide](https://docs.microsoft.com/en-us/azure/azure-functions/functions-reference-python) is an introduction to developing Azure Functions using Python. The content below assumes that you've already read the [Azure Functions developers guide](https://docs.microsoft.com/en-us/azure/azure-functions/functions-reference). |
16 | 18 |
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17 | 19 | [CheckiO](https://checkio.org/) is a programming learning platform and a gamified website that teaches Python through solving code challenges and competing for the most elegant and creative solutions. |
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60 | 62 |
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61 | 63 | [Web2py](http://web2py.com/) is an open-source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases. |
62 | 64 |
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| 65 | +[AWS Chalice](https://github.com/aws/chalice) is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda. |
| 66 | + |
| 67 | +[Tornado](https://www.tornadoweb.org/) is a Python web framework and asynchronous networking library. Tornado uses a non-blocking network I/O, which can scale to tens of thousands of open connections. |
| 68 | + |
| 69 | +[HTTPie](https://github.com/httpie/httpie) is a command line HTTP client that makes CLI interaction with web services as easy as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers. |
| 70 | + |
| 71 | +[Scrapy](https://scrapy.org/) is a fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. |
| 72 | + |
| 73 | +[Sentry](https://sentry.io/) is a service that helps you monitor and fix crashes in realtime. The server is in Python, but it contains a full API for sending events from any language, in any application. |
| 74 | + |
| 75 | +[Pipenv](https://github.com/pypa/pipenv) is a tool that aims to bring the best of all packaging worlds (bundler, composer, npm, cargo, yarn, etc.) to the Python world. |
| 76 | + |
| 77 | +[Python Fire](https://github.com/google/python-fire) is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. |
| 78 | + |
| 79 | +[Bottle](https://github.com/bottlepy/bottle) is a fast, simple and lightweight [WSGI](https://www.wsgi.org/) micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the [Python Standard Library](https://docs.python.org/library/). |
| 80 | + |
| 81 | +[CherryPy](https://cherrypy.org) is a minimalist Python object-oriented HTTP web framework. |
| 82 | + |
| 83 | +[Sanic](https://github.com/huge-success/sanic) is a Python 3.6+ web server and web framework that's written to go fast. |
| 84 | + |
| 85 | +[Pyramid](https://trypyramid.com) is a small and fast open source Python web framework. It makes real-world web application development and deployment more fun and more productive. |
| 86 | + |
| 87 | +[TurboGears](https://turbogears.org) is a hybrid web framework able to act both as a Full Stack framework or as a Microframework. |
| 88 | + |
| 89 | +[Falcon](https://falconframework.org/) is a reliable, high-performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin. |
| 90 | + |
| 91 | +[Neural Network Intelligence(NNI)](https://github.com/microsoft/nni) is an open source AutoML toolkit for automate machine learning lifecycle, including [Feature Engineering](https://github.com/microsoft/nni/blob/master/docs/en_US/FeatureEngineering/Overview.md), [Neural Architecture Search](https://github.com/microsoft/nni/blob/master/docs/en_US/NAS/Overview.md), [Model Compression](https://github.com/microsoft/nni/blob/master/docs/en_US/Compressor/Overview.md) and [Hyperparameter Tuning](https://github.com/microsoft/nni/blob/master/docs/en_US/Tuner/BuiltinTuner.md). |
| 92 | + |
| 93 | +[Dash](https://plotly.com/dash) is a popular Python framework for building ML & data science web apps for Python, R, Julia, and Jupyter. |
| 94 | + |
| 95 | +[Luigi](https://github.com/spotify/luigi) is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built-in. |
| 96 | + |
| 97 | +[Locust](https://github.com/locustio/locust) is an easy to use, scriptable and scalable performance testing tool. |
| 98 | + |
| 99 | +[spaCy](https://github.com/explosion/spaCy) is a library for advanced Natural Language Processing in Python and Cython. |
| 100 | + |
| 101 | +[NumPy](https://www.numpy.org/) is the fundamental package needed for scientific computing with Python. |
| 102 | + |
| 103 | +[Pillow](https://python-pillow.org/) is a friendly PIL(Python Imaging Library) fork. |
| 104 | + |
63 | 105 | [IPython](https://ipython.org/) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers enhanced introspection, rich media, additional shell syntax, tab completion, and rich history. |
64 | 106 |
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65 | 107 | [GraphLab Create](https://turi.com/) is a Python library, backed by a C++ engine, for quickly building large-scale, high-performance machine learning models. |
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71 | 113 | [Matplotlib](https://matplotlib.org/) is a 2D plotting library for creating static, animated, and interactive visualizations in Python. Matplotlib produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. |
72 | 114 |
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73 | 115 | [Scikit-Learn](https://scikit-learn.org/stable/index.html) is a simple and efficient tool for data mining and data analysis. It is built on NumPy,SciPy, and mathplotlib. |
74 | | - |
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