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Dec 28, 2020

Python installation and environment setup

 


There are many ways to install Python on your machine. The easiest and most popular way is to download and install Anaconda. A pure Python without any packages is useless, as we are using a list of Python packages to do the work. To use Python for numerical computation, we need NumPy and SciPy. To process data and tables, we would need the Pandas, and for data visualization, Matplotlib is the basic package. You may also need machine learning packages, such as scikit-learn, TensorFlow, etc. To manage the dependencies of the package version,  it's essential to use a Python package manager. Anaconda is the best of the Python package mangers that provides the essential Python tools to get started. 

For individual uses, you can find the Anaconda for your machine specifics here on Anaconda's download page. Choose the operation system and the corresponding installer, follow the instruction and install the Anaconda on your machine. 

Suppose you are using a Mac OS and you have installed the Anaconda using the Graphical Installer. There are multiple ways to open Python.

1. Open the terminal and type 'python'

$ python

2. Open the graphical Anaconda-Navigator and click on the notebook

3. Open the terminal and type 'jupyter notebook'

$ jupyter notebook

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