Update README.md

README.md

 # Python4ML_basics
 
 Introduction to Python, numpy, Scipy and Matplotlib
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+## Python and notebooks installation via miniconda
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+In order to work with a comfortable Python environment, we suggest that you install miniconda on your machine and create a conda environment that you can use for the labs. Conda is a popular way to create python environments. Miniconda supplies a minimal conda environnement.
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+Install miniconda from https://docs.conda.io/en/latest/miniconda.html
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+In general, for Mac, Linux and Windows, installation will be done in home directory (single user install) or directory /opt.
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+Then, "conda" command can be launched from a terminal (if the path to the command is not recognized it could be found in directory miniconda3/bin/conda). For Windows os a Powershell is created that can be started from the command menu.
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+- creating an environnement and installation of libraries used in the lessons:
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+    $ conda create -n LAB_3.9  python=3.9 jupyter numpy scipy matplotlib sympy numba pandas openpyxl scikit-learn
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+- activation of the environnement:
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+    $ conda activate LAB_3.9
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+- launching notebooks:
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+    $ jupyter notebook
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+- More info at https://docs.conda.io/projects/conda/en/latest/user-guide/index.html
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