All Resources

Showing the most recent resources. The latest one is from 2018-11-18.
  • Python for Data Science Cheat Sheet by DataCamp
    Tutorial  Added by sakimjan // // 3 days ago
  • f you have some experience in Python programming, this specialization will equip you with the skills for Feature Engineering on Google Cloud Platform using TensorFlow
    Article  Added by sakimjan // // 3 days ago
  • Article  Added by StanBright // // 4 days ago
  • A brief tutorial that lists the widget list and gives a couple sample programs.
    Tutorial  Added by MikeTheWatchGuy // // 5 days ago
  • The latest release of the Python extension for Visual Studio Code from Microsoft now include support for Jupyter notebooks and an IPython REPL.
    Article  Added by gramster // // 12 days ago
  • A quick introduction and comparison of two Bayesian inference algorithms applied to a common linear regression task, using PYMC3.
    Article  Added by AlexIoannides // // 13 days ago
  • Here's curated a list of the best (and Affordable!!!) data science courses with professional specialization certification to upgrade your skills with applicability to real jobs that employers value.
    Article  Added by sakimjan // // 19 days ago
  • 3Factor is an architectural pattern for building web/mobile applications that allow for fast iteration, while being highly resilient and scalable from day 1.
    Article  Added by hersh_m // // 26 days ago
  • Machine learning is difficult for beginners. As well as libraries for Machine Learning in python are difficult to understand. Over the past few weeks, I have been collecting Machine Learning cheat sheets from different sources and to make things more interesting and give context, I added excerpts for each major topic.
    Article  Added by sakimjan // // 27 days ago
  • Learn how to scrape the web using Python libraries like BeautifulSoup & Selenium
    Tutorial  Added by seco // // 28 days ago
  • Podcasts are a great way to stay informed about the latest advancements, documenting the currents and attitudes of the Python community. Here is an up-to-date list of regularly updated best Python podcasts loaded with Pythonic goodness.
    Article  Added by sakimjan // // about 1 month ago
  • If You Want A Radical Career Change, Expect To Do It All On Your Own But Don't Burn Your Bridges Immediately. This article is mainly geared towards folks who want to learn more about data science with python on their own.
    Article  Added by sakimjan // // about 1 month ago
  • 28 Recipes that you can cut and paste to get an instant example GUI running in a handful of minutes.

    The process is:
    pip install PySimpleGUI
    copy Recipe from Cookbook
    Tutorial  Added by MikeTheWatchGuy // // 2 months ago
  • Add a GUI onto your command line program in 5 minutes.
    Article  Added by MikeTheWatchGuy // // 2 months ago
  • Django Crud Tutorial is the topic; we will perform in this practice. Django is the high-level Python Web framework that encourages rapid development and clean, pragmatic design. If you have not previously installed Django on a mac, then please check out my How To Install Django On Mac. It will help you to install python and Django web framework step by step.
    Article  Added by KrunalLathiya // // 2 months ago
  • Streaming live data into Excel spreadsheets using Python is easy with Gridarrow. Here's an example of getting real-time data from internet connected devices, like the Raspberry Pi, into Excel.
    Article  Added by grdl // // 3 months ago
  • A short tutorial on using a Recurrent Neural Network and a Markov Chain to write blog posts.
    Tutorial  Added by silent1mezzo // // 3 months ago
  • A quick overview of string internals.
    Article  Added by rushter // // 3 months ago
  • This article covered lists in depth. It covered the basics of list creation, indexing and slicing. It also spoke about list mutability and demonstrated a few not-terribly-intuitive list behaviors. It then briefly compared lists to other data structures.
    Article  Added by emilychen // // 3 months ago
  • As a self-taught Python Developer and a newbie myself, I think that one of the most important things when starting is to surround ourselves with all things Python related: blogs, developers, projects, and YouTube channels are just a few examples. In this post, I want to share some of the "assets" I collected to this point.
    Article  Added by wilfredinni // // 4 months ago
  • We've added a filtering capability to our decoders and fixed an issue which now ensures that parallel stateless computations always run independently.
    Update  Added by chuckblake // // 4 months ago
  • We’ve been hard at work in Wallaroo Labs-ville with a whole slew of features & bug fixes just to help you succeed with Wallaroo! We’ve added support for dynamic keys -- now you aren’t required to pre-define your partition keys when you’re writing your app! Let us do the heavy lifting for you!
    Update  Added by chuckblake // // 4 months ago
  • Wallaroo is a modern stream processing framework that makes it easy to get stateful, event-driven applications to production regardless of scale. This post talks about the Wallaroo Python API and how you can use it to define all of the sources, sinks, and computations necessary for you to implement your event-driven application.
    Article  Added by chuckblake // // 4 months ago
  • In this example, we build an Adtech use case where Wallaroo is used to join several event streams to determine if the user taking action is a “loyal customer,” and should receive a promotional discount. Includes walkthrough and working example code.
    Tutorial  Added by chuckblake // // 4 months ago
  • 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 // // 4 months 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 // // 5 months 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 // // 5 months 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 // // 5 months 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 ot
    Book  Added by arpi // // 5 months 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 a p
    Book  Added by arpi // // 5 months ago