276 lines
13 KiB
JSON
276 lines
13 KiB
JSON
{
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"title": "Python",
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"slug": "/python",
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"resources": [
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{
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"title": "Python 3.7.3 documentation",
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"desc": "Documentation for all releases of Python.",
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"url": "https://docs.python.org/3/",
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"tags": ["official", "reference", "guide", "history"]
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},
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{
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"title": "The Hitchhiker’s Guide to Python!",
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"desc": "This is a living, breathing guide. This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis.",
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"url": "https://docs.python-guide.org/",
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"tags": ["handbook", "configure", "reference", "environment"]
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},
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{
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"title": "Kaggle - Python",
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"desc": "Learn the most important language for Data Science",
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"url": "https://www.kaggle.com/learn/python",
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"tags": ["lessons", "course", "free"]
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},
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{
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"title": "Anaconda",
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"desc": "The World's Most Popular Python/R Data Science Platform",
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"url": "https://www.anaconda.com/distribution/",
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"tags": ["installer", "packages", "analyze", "visualize"]
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},
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{
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"title": "Real Python Tutorials",
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"desc": "At Real Python you can learn all things Python from the ground up. Everything from the absolute basics of Python, to web development and web scraping, to data visualization, and beyond.",
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"url": "https://realpython.com/",
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"tags": ["videos", "articles", "newsletter", "beginner", "quizzes"]
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},
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{
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"title": "Geeks for geeks - Python",
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"desc": "Short, clearly written posts with colorful code examples.",
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"url": "https://www.geeksforgeeks.org/python-programming-language/",
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"tags": ["courses", "practice", "basic", "expert"]
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},
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{
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"title": "Pluralsight - Python",
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"desc": "Test your skills and watch a few video courses.",
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"url": "https://app.pluralsight.com/paths/skills/Python",
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"tags": ["videos", "courses", "tests"]
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},
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{
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"title": "Pypi",
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"desc": "Find, install and publish Python packages with the Python Package Index",
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"url": "https://pypi.org/",
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"tags": ["packages", "search", "install"]
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},
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{
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"title": "Boost.Python",
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"desc": "A C++ library which enables seamless interoperability between C++ and the Python programming language.",
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"url": "https://www.boost.org/doc/libs/1_70_0/libs/python/doc/html/index.html",
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"tags": ["hybrid", "library", "support", "resources"]
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},
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{
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"title": "MongoDB Python Drivers",
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"desc": "The database for modern applications",
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"url": "https://docs.mongodb.com/ecosystem/drivers/python/",
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"tags": ["database", "drivers", "course"]
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},
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{
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"title": "A Byte of Python",
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"desc": "If you like real books ... A complete set of documentation that closely resembles the typesetting of a real book.",
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"url": "https://python.swaroopch.com/",
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"tags": ["free", "book", "beginner", "guide", "tutorial"]
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},
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{
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"title": "Requests: HTTP for Humans™",
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"desc": "Requests is the only Non-GMO HTTP library for Python, safe for human consumption.",
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"url": "https://2.python-requests.org/en/master/",
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"tags": ["library", "easy", "guide", "documentation"]
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},
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{
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"title": "TensorFlow",
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"desc": "The core open source library to help you develop and train ML models. TensorFlow is an end-to-end open source platform for machine learning.",
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"url": "https://www.tensorflow.org/",
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"tags": ["learning", "neural", "news", "resources"]
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},
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{
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"title": "Think Python",
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"desc": "Think Python is an introduction to Python programming for beginners. The free O'Reilly book.",
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"url": "https://greenteapress.com/wp/think-python/",
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"tags": ["free", "book", "basics", "swampy"]
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},
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{
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"title": "No Starch Press - Automate the Boring Stuff with Python",
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"desc": "The best part of programming is the triumph of seeing the machine do something useful. Automate the Boring Stuff with Python frames all of programming as these small triumphs; it makes the boring fun.",
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"url": "https://nostarch.com/automatestuff",
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"tags": ["book", "practical", "small", "routine"]
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},
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{
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"title": "Python built-ins worth learning",
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"desc": "A great list that breaks up topics into 'learn now' and 'wait til later' type categories. By Trey Hunner",
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"url": "https://treyhunner.com/2019/05/python-builtins-worth-learning/",
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"tags": ["standard", "libraries", "skills", "knowledge"]
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},
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{
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"title": "Qt for Python",
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"desc": "Create User Interfaces with Qt for Python",
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"url": "https://www.qt.io/qt-for-python",
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"tags": ["ui", "resources", "library"]
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},
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{
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"title": "Python fun facts.",
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"desc": "Python fun facts from JetBrains, maker of the IDE PyCharm",
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"url": "https://www.jetbrains.com/lp/devecosystem-2019/python/",
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"tags": ["statistics", "comparisons", "use"]
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},
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{
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"title": "MicroPython",
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"desc": "Using python with microcontrollers.",
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"url": "https://micropython.org/",
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"tags": ["lean", "small", "embedded", "pyboard"]
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},
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{
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"title": "Programiz",
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"desc": "Learn Python Programming",
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"url": "https://www.programiz.com/python-programming",
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"tags": ["guide", "beginner", "start", "tutorial"]
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},
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{
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"title": "Medium - Python",
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"desc": "Tools to run Python on Android",
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"url": "https://towardsdatascience.com/tools-to-run-python-on-android-9060663972b4",
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"tags": ["api", "tools", "interface", "deploy"]
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},
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{
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"title": "QPython",
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"desc": "QPython is a script engine which runs Python programs on android devices. It also can help developers develop android applications.",
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"url": "https://www.qpython.com/",
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"tags": ["support", "mobile", "kit", "guide"]
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},
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{
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"title": "Medium - Python on Netflix",
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"desc": "We wanted to share a sampling of how Python is used at Netflix. ",
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"url": "https://medium.com/netflix-techblog/python-at-netflix-bba45dae649e",
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"tags": ["security", "monitoring", "learning", "encoding"]
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},
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{
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"title": "Python Data Science Handbook",
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"desc": "This is a book about doing data science with Python, which immediately begs the question: what is data science? The free O'Reilly book.",
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"url": "https://jakevdp.github.io/PythonDataScienceHandbook/",
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"tags": ["book", "numpy", "pandas", "matplotlib"]
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},
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{
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"title": "Data Analysis in Python",
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"desc": "This site is designed to offer an introduction to Python specifically tailored for social scientists and people doing applied data analysis.",
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"url": "http://www.data-analysis-in-python.org/",
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"tags": ["stata", "pandas", "gis", "plotting", "resources"]
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},
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{
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"title": "Microsoft - Python",
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"desc": "11 Data Science Skills. 1.5 Million Jobs.",
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"url": "https://academy.microsoft.com/en-us/professional-program/tracks/data-science/",
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"tags": ["mpp", "professional", "certification"]
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},
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{
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"title": "Towards Data Science - Machine Learning",
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"desc": "An “Equation-to-Code” Machine Learning Project Walk-Through in Python",
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"url": "https://towardsdatascience.com/an-equation-to-code-machine-learning-project-walk-through-in-python-part-1-linear-separable-fd0e19ed2d7",
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"tags": ["convert", "plot", "solve", "vector"]
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},
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{
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"title": "Big Data Made Simple",
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"desc": "Step by step approach to perform data analysis using Python.",
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"url": "https://bigdata-madesimple.com/step-by-step-approach-to-perform-data-analysis-using-python/",
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"tags": ["numpy", "pandas", "matplotlib", "tutorial"]
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},
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{
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"title": "Medium - Python vs R",
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"desc": "Python vs. R — Choosing the Best Programming Language for Data Science",
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"url": "https://towardsdatascience.com/python-vs-r-choosing-the-best-programming-languages-for-data-science-b1327f01f6bf",
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"tags": ["functional", "pandas", "programming", "modeling"]
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},
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{
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"title": "Python Data Analysis Library",
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"desc": "Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.",
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"url": "https://pandas.pydata.org/",
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"tags": ["documentation", "highlights", "release"]
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},
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{
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"title": "SciPy",
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"desc": "SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.",
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"url": "https://www.scipy.org/",
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"tags": ["documentation", "matplotlib", "numpy", "pandas", "ipython"]
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},
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{
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"title": "NumPy",
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"desc": "NumPy is the fundamental package for scientific computing with Python.",
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"url": "http://www.numpy.org/",
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"tags": ["documentation", "support", "install"]
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},
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{
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"title": "Statsmodels",
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"desc": "Statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. ",
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"url": "http://www.statsmodels.org/stable/index.html",
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"tags": ["documentation", "examples", "support"]
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},
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{
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"title": "scikit-learn",
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"desc": "Machine Learning in Python",
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"url": "https://scikit-learn.org/stable/",
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"tags": ["clustering", "regression", "classification", "examples"]
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},
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{
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"title": "Jupyter",
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"desc": "The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.",
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"url": "https://jupyter.org/",
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"tags": ["documentation", "widgets", "collaboration", "interactive"]
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},
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{
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"title": "Matplotlib",
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"desc": "Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.",
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"url": "https://matplotlib.org/",
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"tags": ["installation", "documentation", "toolkits", "generate"]
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},
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{
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"title": "NumFOCUS",
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"desc": "From Netflix to NASA, researchers use NumFOCUS sponsored projects to solve the most challenging problems. Explore our open source tools by language, features, or industry.",
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"url": "https://numfocus.org/sponsored-projects",
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"tags": ["julia", "ipython", "numpy", "jupyter", "astropy"]
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},
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{
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"title": "Python Pandemonium",
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"desc": "A place to read and write about all things Python.",
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"url": "https://medium.com/python-pandemonium/tagged/data-science",
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"tags": ["aggregator", "articles", "tagged"]
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},
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{
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"title": "Pandas for People In A Hurry",
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"desc": "Pandas is the most popular Python library for data manipulation and data analysis. It is a must know for all data scientists!",
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"url": "https://towardsdatascience.com/pandas-for-people-in-a-hurry-59d966630ae0",
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"tags": ["data", "starting", "tips", "filtering"]
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},
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{
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"title": "PySpark",
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"desc": "Python Programming Guide for the API",
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"url": "https://spark.apache.org/docs/0.9.1/python-programming-guide.html",
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"tags": ["configure", "use", "apache", "guide"]
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},
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{
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"title": "Towards Data Science",
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"desc": "Sharing concepts, ideas, and codes. IMO the best Data Science Blog.",
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"url": "https://towardsdatascience.com/",
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"tags": ["articles", "advice", "digest", "resources"]
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},
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{
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"title": "HDF5®",
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"desc": "High-performance data management and storage suite",
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"url": "https://www.hdfgroup.org/solutions/hdf5/",
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"tags": ["storage", "support", "documentation"]
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},
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{
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"title": "Theano",
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"desc": "Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.",
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"url": "http://deeplearning.net/software/theano/",
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"tags": ["tutorial", "documentation", "data"]
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},
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{
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"title": "Becoming Human - Languages",
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"desc": "Top Programming Languages a Data Scientist Must Master.",
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"url": "https://becominghuman.ai/top-programming-languages-a-data-scientist-must-master-in-2019-7101a8bc8e16",
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"tags": ["article", "list", "overview", "features"]
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},
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{
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"title": "SQLAlchemy",
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"desc": "SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.",
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"url": "https://www.sqlalchemy.org/",
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"tags": ["orm", "databases", "features", "library"]
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}
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]
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} |