A Step-by-Step guide to Anaconda Installation, Python and creating a virtual environment Tutorial
Python – Python is one of the most extensively used programming language on the planet. Python has huge echo-system, very mature community support and perhaps most extensively used language in data science.
Anaconda – Anaconda is simply a python and R distribution! Wait what? A python distribution?? Why not simply use Python directly? Yup, but as mentioned before Python is a general purpose programming language with millions of libraries written by community covering almost every aspect of day to day programming problems. Support for Data sciences and AI is just a subset. So wouldn’t it be good if you are given a tool that will reduce that huge span of libraries and focus on those that meet your needs? That
is where Anaconda comes into action. It aims to provide everything you need (python wise) for data science "out of the box".
Visit Anaconda download page (https://www.anaconda.com/distribution/) and click on the download button
Command for Virtual environment :
conda create -n cv_course python=3.6
conda activate cv_course
Packages installation code:
conda install jupyter
conda install nb_conda
conda install ipykernel
conda install -c anaconda numpy
conda install -c anaconda scipy
conda install -c conda-forge opencv
conda install -c anaconda pillow
conda install -c conda-forge matplotlib