In this tutorial, we'll go over the theory on how does gradient descent work and how to implement it in Python. Then, we'll implement batch and stochastic gradient descent to minimize Mean Squared Error functions.

On this episode, we will learn about HTML forms and Django's form system to use when collecting input from users.

With Bitcoin and blockchain tech taking the world by storm, it seems rather irresponsible not to keep yourself in the loop with the latest…

In this tutorial, we'll go over how to make a command-line interface application using Python Fire.

In this tutorial, you'll learn how you can use PyPy to improve the speed of your applications. You'll see how PyPy compares with other Python implementations like CPython and learn about features that you can use to gain significant performance boosts without…

In this tutorial, we'll go over how to plot inline plots using IPyhon/Jupyter notebooks, with Matplotlib in Python.
We'll cover how to plot externally using Qt, as well as inline.

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A step-by-step tutorial on how to setup a Flask project with TDD, Docker and Postgres

Django forms with Ajax | How to use ajax with django
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PART 4 of the Django & Javascript tutorial series [re…

In this step-by-step tutorial, you’ll learn how to create, customize, and use Python menus, toolbars, and status bars for creating GUI applications using PyQt.

In this topic, we’ll cover the Python OpenCV library in complete detail. Computer Vision refers to the field of study which deals with how computers perceive images. It involves feeding images into a computer and then trying to gain high-level intelligence…

If you are a Python programmer, it is quite likely that you have experience in shell scripting. It is not uncommon to face a task that seems trivial to solve with a shell command. Therefore, it is useful to be familiar with how to call these commands efficiently…

Learn how to transform skewed data with square root, log, and Box-Cox transformation in Python so that you get a normal shape.

In this Article I will explain all machine learning algorithms with scikit-learn which you need to learn as a Data Scientist.

Supercharge your scraper to extract quality page metadata by parsing JSON-LD data via Python's extruct library.

In this tutorial, you'll learn why splitting your dataset in supervised machine learning is important and how to do it with train_test_split() from scikit-learn.

Neural networks achieve state-of-the-art accuracy in many fields such as computer vision, natural-language processing, and reinforcement learning. In this tu…