Feel free to clone my sample GitHub repository and follow along when reading this blog 👍
Must-have tools to master with working on data science projects. In this article, I will mainly focus on some of the most important tools to have and work with, tools which allow better and cleaner codingand faster way of collaboration.
Duplicate Your Mac Workflow on Windows 10. Working with pyenv Virtual Environments and GitHub on Your PC
Why pipenv over venv for Python projects? So, basically the Python(parent) installed in your local machine gives birth to another Python(child) on your machine and you can use this environment for a specific project.
Most serious data science projects should take place in a Docker container or a virtual environment.
Start prototyping immediately. When I first started using Python, the concept of a virtual environment was extremely elusive to me.
Learn how to create Virtual Environment using venv and activate using executables. What is a Virtual Environment? Virtual Environments help create, manage and isolate environments for the project, each one using same or different versions of the executables.
Because Virtual Environments can and will save you headaches. In early 2020, I was working on a school project using Keras/Tensorflow. Everything was working great. Then, I shared my code with my teammate so he could start working on it too. However, for some reason, it was not working for him.
A complete step-by-step tutorial from start to finish. A virtual environment allows your projects to operate independently from the main Python environment. It provides an effective way to prevent version conflicts between dependencies of different projects.
Creating Python Virtual Environment ,How to Add it to JuPyter Notebook - This is a feature in Python (also integrated to most IDEs) which allows you to create projects in such a way that each project has its own dependencies.
I will walk you through everything about Virtual Environment in Python that you should know like from “what is virtual…
A deep dive beginner’s guide into different python virtual environments, the benefits of each, and how to get started using them