All Resources

Showing the most recent resources. The latest one is from 2020-05-23.
  • Python programming tutorial for beginners and intermediate
    Tutorial  Added by natamacm // // 2 days ago
  • Python tutorial covering several topics
    Tutorial  Added by threadspeed // // 2 days ago
  • Tutorial on creating GUI apps with Python
    Tutorial  Added by threadspeed // // 2 days ago
  • In this 15-min video, we will go through how to use MongoDB with Python. We use MongoDB Atlas DB in the cloud and Python3.
    Tutorial  Added by rahularora // // 3 days ago
  • Fil is a new memory profiler which shows you peak memory usage, and where that memory was allocated. It’s designed specifically for the needs of data scientists and scientists running data processing pipelines.
    Article  Added by itamarst // // 4 days ago
  • You don’t want to deploy insecure code to production—but it’s easy for mistakes and vulnerabilities to slip through. So you want some way to catch security issues automatically, without having to think about it.

    For your code to your Python dependencies to the system packages you depend on, learn about some tools that will help you catch security vulnerabilities.
    Tutorial  Added by itamarst // // 5 days ago
  • A split bigger than the decade long transition from 2 to 3 is well underway in the Python community. Coroutines and async/await syntax have existed in Python since version 3.5 released in 2015, but tools and projects utilizing the feature were slow to be released. Mature libraries to build async applications are starting to become available and the libraries we love are moving in the async direction. Async is the future of Python.
    Article  Added by hansonkd // // 6 days ago
  • There are many algorithms available in python to use with machine learning. Learn more about simple linear regression in machine learning using python.
    Article  Added by Sam // // 7 days ago
  • In this 20-min video, we will start with writing a simple unit-test for an addition function using unittest standard library and then use the same concept and build upon it to write tests for the Flask API. The Books API implements CRUD : Create, Retrieve, Update and Delete and all operations will be tested using requests.
    Tutorial  Added by rahularora // // 7 days ago
  • In this tutorial, you will learn how to use MySQL Database with Python. We will make a simple school database consisting of data of students. We’ll store student’s information and retrieve it using Python. So by the end of this tutorial, you will be able to make a full python application that uses MySQL database to store and retrieve data using Python.
    Tutorial  Added by Suyash401 // // 9 days ago
  • Brief tutorial on how to use the yahooquery python package.
    Tutorial  Added by dpguthrie // // 10 days ago
  • Your next API doesn’t need to be built with REST and JSON. How about gRPC and Protocol Buffers for better performance and structure?
    Article  Added by MartinHeinz // // 10 days ago
  • While working with Django, I often find it difficult to handle list of key value pairs. This generally happens when we are dealing with responses from a web client or doing some manipulation on a list of same kind of objects.
    Article  Added by Sam // // 11 days ago
  • In this 20min video, we will learn "How to write a Flask REST API and use Sqlite Database as a data store in less than 100 lines". The Books API will implement CRUD : Create, Retrieve, Update and Delete. The example shown in this video is a fully functional REST API.
    Tutorial  Added by rahularora // // 12 days ago
  • Speech Recognition is a hit in the market. It’s a flashy technology that is used mainly in voice assistants like Apple’s Siri, Amazon’s Alexa, Microsoft’s Cortana, Google’s Allo, etc. It can massively increase the user interaction in your project and will make it look amazing. Writing a program that uses speech recognition is far easier than you think. We will be covering everything from installing to implementation of speech recognition.
    Tutorial  Added by Suyash401 // // 14 days ago
  • Six examples of ways to refactor your Python code, and why they are improvements.
    Article  Added by Hellebore // // 14 days ago
  • Want to block unauthorized permissions on a content curation app? Here’s how we used Django User Groups and Permissions to implement that. Have a Look
    Article  Added by Sam // // 15 days ago
  • It is a full beginner's guide on how to use NumPy Arrays. It is short and concise and covers all the important topics one must know to work with NumPy.
    If you are new to NumPy, this is all you will be needing.
    Article  Added by Suyash401 // // 15 days ago
  • Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
    Article  Added by trekhleb // // 18 days ago
  • How do users provide data to your website so you can interact with them?  We can answer that question by exploring Django's form system, and the tools that Django provides to simplify your site as you engage with your users.
    Article  Added by mblayman // // 20 days ago
  • Every job has repetitive tasks and processes that can be automated. Those tasks can take up a significant amount of your time.
    Disciplines like virtual and augmented reality require the usage of sophisticated processes that, just like any other pipeline, can be optimized through automation.
    We created an extensive Udemy on-demand course to learn Unreal Engine Editor scripting to learn exactly those kinds of skills.
    Tutorial  Added by timgrossmann // // 21 days ago
  • A Hacker News clone built with Python/Django
    Service  Added by sebst // // 21 days ago
  • Article  Added by misrah // // 23 days ago
  • Python provides a DateTime module which we’ll be using to work with date and time-related cases and also go through the simple program and learn their implementation of this module.
    Article  Added by pavanbaddi911 // // 26 days ago
  • import requests
    from bs4 import BeautifulSoup

    def add_plus(keywords):
    keywords = keywords.split()
    Article  Added by pyspidergo // // 28 days ago
  • n this post, we’ll learn how to use web Scraping Tools & APIs to perform a quick and effective web-scraping for single-page applications.
    Article  Added by makcorps // // 29 days ago
  • Python 3.9 Beta is coming soon, so it’s time to explore some of its upcoming features like new dict operators, new functools and more…
    Article  Added by MartinHeinz // // about 1 month ago
  • If your Docker build isn’t reproducible, a minor bug fix can spiral out of control into a series of unwanted and unnecessary major version upgrades.

    There are multiple layers of reproducibility, from operating system to Python dependencies, so this article will cover how to deal with each.
    Tutorial  Added by itamarst // // about 1 month ago
  • It’s time to dive into Kubernetes and bring your Python project to Cloud with this fully-fledged project template!
    Article  Added by MartinHeinz // // about 1 month ago
  • Pandas code using too much memory, or running too slow? Processing your data in chunks lets you reduce memory usage, but it can also speed up your code. Because each chunk can be processed independently, you can process them in parallel, utilizing multiple CPUs. For Pandas (and NumPy), Dask is a great way to do this.
    Tutorial  Added by itamarst // // about 1 month ago