add python resources
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skeptycal
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pages/python/index.vue
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299
pages/python/index.vue
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<template lang="pug">
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div
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h1 Python
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.cards
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template(v-for='resource in resources')
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Card(:title='resource.title' :desc='resource.desc' :url='resource.url')
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</template>
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<script>
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import Card from "../../components/Card";
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export default {
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data() {
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return {
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resources: [
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{
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title: "Home of Python",
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desc:
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"Python is a programming language that lets you work quickly and integrate systems more effectively.",
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url: "https://www.python.org/"
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},
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{
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title: "Python 3.7.3 documentation",
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desc: "Documentation for all releaases of Python.",
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url: "https://docs.python.org/3/"
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},
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{
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title: "The Hitchhiker’s Guide to Python!",
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desc:
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"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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},
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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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},
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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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},
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{
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title: "Real Python Tutorials",
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desc:
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"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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},
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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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},
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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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},
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{
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title: "Pypi",
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desc:
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"Find, install and publish Python packages with the Python Package Index",
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url: "https://pypi.org/"
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},
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{
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title: "Learn Python in y minutes",
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desc: "A mad dash through everything!",
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url: "https://learnxinyminutes.com/docs/python/"
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},
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{
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title: "Boost.Python",
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desc:
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"A C++ library which enables seamless interoperability between C++ and the Python programming language.",
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url:
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"https://www.boost.org/doc/libs/1_70_0/libs/python/doc/html/index.html"
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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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},
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{
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title: "A Byte of Python",
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desc:
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"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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},
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{
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title: "Requests: HTTP for Humans™",
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desc:
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"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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},
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{
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title: "TensorFlow",
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desc:
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"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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},
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{
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title: "Think Python",
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desc:
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"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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},
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{
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title: "No Starch Press - Automate the Boring Stuff with Python",
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desc:
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"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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},
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{
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title: "Python built-ins worth learning",
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desc:
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"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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},
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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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},
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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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},
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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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},
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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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},
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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:
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"https://towardsdatascience.com/tools-to-run-python-on-android-9060663972b4"
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},
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{
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title: "QPython",
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desc:
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"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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},
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{
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title: "Medium - Python on Netflix",
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desc:
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"We wanted to share a sampling of how Python is used at Netflix. ",
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url:
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"https://medium.com/netflix-techblog/python-at-netflix-bba45dae649e"
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},
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{
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title: "Python Data Science Handbook",
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desc:
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"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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},
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{
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title: "Data Analysis in Python",
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desc:
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"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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},
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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:
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"https://academy.microsoft.com/en-us/professional-program/tracks/data-science/"
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},
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{
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title: "Towards Data Science - Machine Learning",
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desc:
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"An “Equation-to-Code” Machine Learning Project Walk-Through in Python",
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url:
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"https://towardsdatascience.com/an-equation-to-code-machine-learning-project-walk-through-in-python-part-1-linear-separable-fd0e19ed2d7"
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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:
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"https://bigdata-madesimple.com/step-by-step-approach-to-perform-data-analysis-using-python/"
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},
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{
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title: "Medium - Python vs R",
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desc:
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"Python vs. R — Choosing the Best Programming Language for Data Science",
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url:
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"https://towardsdatascience.com/python-vs-r-choosing-the-best-programming-languages-for-data-science-b1327f01f6bf"
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},
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{
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title: "Python Data Analysis Library",
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desc:
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"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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},
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{
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title: "SciPy",
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desc:
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"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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},
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{
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title: "NumPy",
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desc:
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"NumPy is the fundamental package for scientific computing with Python.",
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url: "http://www.numpy.org/"
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},
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{
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title: "Statsmodels",
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desc:
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"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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},
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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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},
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{
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title: "Jupyter",
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desc:
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"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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},
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{
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title: "Matplotlib",
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desc:
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"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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},
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{
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title: "NumFOCUS",
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desc:
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"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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},
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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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},
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{
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title: "Pandas for People In A Hurry",
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desc:
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"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:
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"https://towardsdatascience.com/pandas-for-people-in-a-hurry-59d966630ae0"
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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:
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"https://spark.apache.org/docs/0.9.1/python-programming-guide.html"
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},
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{
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title: "Towards Data Science",
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desc:
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"Sharing concepts, ideas, and codes. IMO the best Data Science Blog.",
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url: "https://towardsdatascience.com/"
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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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},
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{
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title: "Theano",
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desc:
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"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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},
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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:
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"https://becominghuman.ai/top-programming-languages-a-data-scientist-must-master-in-2019-7101a8bc8e16"
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},
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{
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title: "SQLAlchemy",
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desc:
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"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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}
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]
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};
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},
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components: {
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Card
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}
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};
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</script>
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<style lang="scss" scoped>
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</style>
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