All Resources

Showing the most recent resources. The latest one is from 2018-07-11.
  • Anyone can forget how to make character classes for a regex, slice a list or do a for loop. This cheat sheet tries to provide a basic reference for beginner and advanced developers, lower the entry barrier for newcomers and help veterans refresh the old tricks.
    Book  Added by wilfredinni // www.pythoncheatsheet.org // 7 days ago
  • Save yourself the countless hours I spent reading the scikit-learn release notes, and read the detailed guide to how I updated my code from scikit-learn 0.16 & Python 2.7 to scikit-learn 0.19.1 & Python 3.6!
    Tutorial  Added by justmarkham // www.dataschool.io // 13 days ago
  • FinTech app development can be implemented using different programming languages, but Python language ranked first in the list of FinTech tools of many development companies, and Cleveroad is not the exception. The goal of our article is to spell everything out and prove to you why your FinTech app should be developed specifically in Python language.
    Article  Added by Julia991 // www.cleveroad.com // 15 days ago
  • In this blog I walk through at a high level how to create a NLP data pipeline from scratch, using the NLTK and Gensim packages.

    It touches briefly on how to gather and process text, but focuses mainly on the use case of categorizing texts, and goes into detailed code and explanation of this.
    Tutorial  Added by mkapuza // blog.alliedcrowds.com // 23 days ago
  • Exploring the Data Jungle: Finding, Preparing, and Using Real-World Data is a collection of three hand-picked chapters introducing you to the often-overlooked art of putting unfamiliar data to good use. Brian Godsey, author of Think Like a Data Scientist, has selected these chapters to help you navigate data in the wild, identify and prepare raw data for analysis, modeling, machine learning, or visualization. As you explore the data jungle you'll discover real-world examples in Python, R, and...
    Book  Added by arpi // www.manning.com // 26 days ago
  • Exploring Data with Python is a collection of chapters from three Manning books, hand-picked by Naomi Ceder, the chair of the Python Software Foundation. This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. In it, you’ll get a clear introduction to the data science process. Then, you’ll practice using Python for processing, cleaning, and exploring interesting datasets. Finally, you’ll get ...
    Book  Added by arpi // www.manning.com // 26 days ago
  • This Python tutorial is an explanation on lambda expressions, function objects, single expressions, documentation strings, function annotations, python connection to database, python to oracle DB in detail. Interested to know more? Please check similar Python Blogs here:- https://goo.gl/XozEvZ Watch complete Python videos here:- https://goo.gl/3CVFVD
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • This python video tutorial explains how to setup Python environment, learn Python3 and Python 3, Install Python in windows, various functions in Python in Python programming in detail. Interested to learn Python programming still more? Please check similar Python 3 tutorial Blogs & Python programming for beginners with examples here:- https://goo.gl/XozEvZ Watch complete Python3 tutorial for beginners here:- https://goo.gl/3CVFVD
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • This python tutorial for beginners is an introduction to Python data visualization, what is Python programming language, Matplot Library, Color Abbreviation, Plotting a sine and cosine wave in python programming language in detail. Interested to learn Python programming & data visualization still more? Please check similar Python tutorial Blogs & Python programming for beginners with examples here:- https://goo.gl/XozEvZ
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • This python tutorial for beginners is an introduction to Python data visualization, what is Python programming language, Matplot Library, Color Abbreviation, Plotting a sine and cosine wave in python programming language in detail. Interested to learn Python programming & data visualization still more? Please check similar Python tutorial Blogs & Python programming for beginners with examples here:- https://goo.gl/XozEvZ
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • This python tutorial for beginners with examples is an introduction to Python, what is Python, data analysis, numerical python, theory of relativity and modules in python in detail. Interested to learn Python programming still more? Please check similar Python tutorial Blogs & Python programming for beginners with examples here:- https://goo.gl/XozEvZ Watch complete Python 3 tutorial for beginners here:- https://goo.gl/3CVFVD
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • This python tutorial for beginners with examples is an explanation on numerical python3, numpy ndarray object, numpy numerical types and structured datatype in detail. Interested to learn Python still more? Please check similar Python3 Blogs & Python tutorial for beginners with examples here:- https://goo.gl/XozEvZ
    Tutorial  Added by sonam1 // www.youtube.com // about 1 month ago
  • Python's for loops are incredibly useful. They can iterate directly over most iterables or be indexed. This does not sound like a problem, since more choices should not lead to worse results. The problem is not that the results are any worse, it's that there is a simple way to get the both of best worlds. Here's a short tutorial on it.
    Tutorial  Added by Ligusterweg // www.codementor.io // about 1 month ago
  • Aimed at existing programmers coming to Python from a different object-oriented language like Java, this article covers a large subset of Python 3.6 in a short amount of space with extensive pedagogical examples
    Article  Added by gramster // www.grahamwheeler.com // 3 months ago
  • A huge collection of #Python related articles I found most useful in 2017 & in 2018 (so far). It contains the links in 10 categories so readers can concentrate on the parts that are most relevant for them.
    Article  Added by gergelyszerovay // medium.freecodecamp.org // 3 months ago
  • If you are looking for the best solution for large scale artificial intelligence then ClusterOne is the right choice. It is one of the best solutions for machine learning teams. Get more detail at: https://clusterone.com/about/
    Article  Added by clusterone02 // // 3 months ago
  • NumPy is pure gold. It is fast, easy to learn, feature-rich, and therefore at the core of almost all popular scientific packages in the Python universe (including SciPy and Pandas, two most widely used packages for data science and statistical modeling). In this article, let us discuss briefly about two interesting features of NumPy viz. mutation by slicing and broadcasting.
    Tutorial  Added by Ligusterweg // www.codementor.io // 3 months ago
  • A quick tutorial on installing and using youtube-dl on Windows, Mac, and Linux.
    Tutorial  Added by joncutrer // jcutrer.com // 4 months ago
  • An introduction to pipenv and PipFile.
    Tutorial  Added by joncutrer // jcutrer.com // 4 months ago
  • Very simply game, including clients being able to join a world, and simply move around. Feel free to build off this, or pick out pieces that work well!
    Service  Added by Zwork101 // github.com // 4 months ago
  • Meet freelance developer from the Netherlands, Ronnie Stevens. He's an expert Python developer, his CMS of choice being Django-powered Wagtail CMS. Read this to know how he built a simple webshop with it and Snipcart for Carlos in huis.
    Article  Added by Mathdio24 // snipcart.com // 5 months ago
  • Article  Added by StanBright // blog.hasura.io // 5 months ago
  • Tutorial  Added by joncutrer // github.com // 5 months ago
  • Tutorial  Added by jaredwox // www.cybrhome.com // 6 months ago
  • In this tutorial, you'll learn how to use the RxPy library to create asynchronous and event-based programs by implementing observables, observers/subscribers, and subjects.
    Article  Added by RamiroND // auth0.com // 6 months ago
  • This book, written by Christoph Lang, goes deeper into Panda3D's advanced features by providing a set of recipes with step-by-step instructions. It is useful for people who want to achieve more advanced rendering effects with Panda3D, or want to extend the engine. This book is aimed at Windows users.
    Book  Added by rdb // www.packtpub.com // 6 months ago
  • This book, written by Dave Mathews, guides the reader through creating a complete game with Panda3D. It only focuses on Windows users.
    Book  Added by rdb // www.packtpub.com // 6 months ago
  • Discover the latest Python articles, tutorials, libraries, and code snippets from around the web to keep your programming skills sharp
    Service  Added by hacklines // hacklines.com // 6 months ago
  • Book  Added by sebastian_adil // infohost.nmt.edu // 7 months ago
  • Learn a useful technique for gaining insight into uncertain or unmeasured metrics.
    Article  Added by libhuntuser1 // www.samueltaylor.org // 8 months ago