When you are developing in Python, you will probably use Python packages a lot. If you are not using virtualenv and directly developing with a local Python environment, the number of packages you installed would a lot and at some point, you might want to do some cleanup.
Last part of this series is Setting up your Tooling. You have your environment setup based on the Part 1 Setup Your Machine Environment as well as Repo based on the Part 2 Setup Your Repo. In this Part 3 Setup Your Tooling, we will be focusing on the tools you need for coding.
In Part 1: Setup Your Machine Environment (MAMP), it covers the basics around what environment you need to before you start coding. In this post, we will be covering the topic about Repository (or Repo for short). Let’s see what are the major Repos available.
It is 2020, you have your macOS Catalina and you are ready to start some coding. In this blog series, I will cover the following topics so you have the coding environment you need to start coding. Coding Environment discussed in this post is mainly focusing on developing web app / scripting.
In previous post Python Machine Learning Example (KNN), we used a movie catalog data which has the categories label encoded to 0s and 1s already. In this tutorial, let’s pick up a dataset example with raw value, label encode them and let’s see if we can get any interesting insights.
