We will install Visual Studio Code and Anaconda. If not, you can refer to another post and install Python first: Fully Remove Python and Install a Fresh Python in MacOS and Windows.

I assume you have previously installed a standalone Python in your local computer.

Conda is a package and environment management tool, which not only helps you create, load and switch between environments, but also makes it easy to find and install over 7500 packages.īefore continuing reading the post, check the following two notes:.

A bundled Python3 distribution, but you can still install other versions separately from Anaconda.

Both the classical Jupyter Notebook and a modern notebook interface JupyterLab support interactive development and reproducible work.

The benefits of using Anaconda come from its powerful components, which includes: Specifically, you will create virtual environments with Conda manage dependencies of projects with virtual environments add a virtual environment as a Jupyter kernel and connect a notebook to a kernel in JupyterLab. You will know how to set up a Python environment where you do machine learning and data science in an interactive notebook which allows other people reproduce your work. The video can be navigated through by the video chapters, including:Īn introduction to the relevant terms in this particular setting: Anaconda offers free individual edition, which currently the easiest way to learning from data with Python. If all of the above mentioned are true, this post is a handy reference to setting up the most popular Python data science platform Anaconda in your local computer. Right now you are working on setting up a Python environment in your Mac or PC. You are just getting started with Data Science, Machine Learning or Artificial Intelligence, and Python is one of the languages you have chosen.

Anaconda visual studio code