ANACONDA Tutorial for Python How to Install Anaconda on Mac OS and How to use Anaconda for Python

ANACONDA Tutorial for Python How to Install Anaconda on Mac OS and How to use Anaconda for Python In this video let us understand how to use ANACONDA for python. We shall see what is ANACONDA how to use ANACONDA for python and why do we need to use ANACONDA for python. We shall also cover how to install anaconda on Mac OS. The installation would be similar for Windows and Linux systems as well. If you are new to python then you would probably have heard of anaconda but for a beginner it would be very confusing to know why do we need anaconda and how to use it and how is it beneficial to use anaconda over standalone python. So that is why in this video I want to make it very clear on what is anaconda and why you should be using it. Timestamp 00:00 Intro 00:39 What is Anaconda for python and Why do we need to use Anaconda? 03:30 How to install anaconda? Getting started with Anaconda 08:17 How to use Visual Studio code IDE with anaconda 10:05 How to create virtual environment using anaconda 12:05 How to work with different anaconda virtual environments 15:23 What are anaconda channels and how to add channels to anaconda Anaconda is a python distribution meaning when you install anaconda it comes with python a lot of python packages tools and software which would be very essential especially if you are working in the field of data science. Anaconda also comes with conda which is a package manager similar to pip. Conda can be used to install python packages and conda can also be used to create and manage virtual environments. So anaconda can be treated as a bundle package which not only includes python but everything else you would need to conveniently work with python especially in the field of data science. So we start this video by talking about what is anaconda and why we should be using it. I also mention a use case where using anaconda can be very beneficial. Once we understand what is anaconda and why we should be using it we then move into installing anaconda in our machine. Since I use Mac OS the video shows how to install anaconda on Mac OS but the process would be same if you are on Windows or Linux system as well. Once anaconda is installed we then see how to use conda base environment. We see how to use anaconda with Visual Studio Code IDE which is also referred to as VS Code. We look at the different conda commands. We then see how to create different virtual environments using conda command and then create specific python packages in each of our virtual environments. We then see how to work with different anaconda virtual environments in VS code. Finally we talk about channels in anaconda. We see what is a channel and how to add a new channel to the existing list of channels in anaconda. CHEAT CODE of all the ANACONDA commands used in this video: conda List down all conda commands conda list List of all the python packages in the activated environment conda env list List of all environments conda activate env-name Activate environment env-name conda deactivate Deactivate from current conda environment conda create name env-name python3.7 Create a virtual environment conda env remove name DS-env Remove a virtual environment conda install scikit-learn Install a python package by name scikit-learn python3 version Get python version in current environment which python3 Get the location where python is installed conda config show channels List of all channels in anaconda conda config get channels List of all channels along with its priority conda config add channels conda-forge Add a new channel conda config remove channels conda-forge Remove a channel ? WATCH MORE VIDEOS HERE ? SQL Tutorial - Basic concepts: SQL Tutorial - Intermediate concepts: SQL Tutorial - Advance concepts: Practice Solving Basic SQL Queries: Practice Solving Intermediate SQL Queries: Practice Solving Complex SQL Queries: Data Analytics Career guidance: SQL Course SQL Training Platform Recommendations: Python Tutorial: Git and GitHub Tutorial: Data Analytics Projects: THANK YOU Thoufiq,

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