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Choose the one which is compatible with your system (right-click on My Computer to view this if youre unsure).

Installation might seem simple in theory, but things can get a bit tricky in reality.

The installation seems to be running smoothly before boom An issue about compatibility.

There are, however, some tools that are more important (or widely used) than others.

Here are a few must-have tools that every Data Scientist, beginner or experienced, needs.

Almost every new development in machine learning is happening in Python first as compared to other languages.

It owes this wide adoption to the fact that some really useful libraries are present in Python.

Pandas is a Python library thats very helpful when we want to manipulate data before performing any analysis or building machine learning models.

NumPy brings in functions to support large multi-dimensional arrays and matrices.

It also brings in high-level mathematical functions to work with these arrays and matrices.

It lets us install almost all the librariestools that we would need in our data science journey with Python.

It has a very simple interface that lets us accomplish most data science tasks in just a few lines of code.

Its a lightweight version and a good choice if you do not have enough disk space on your computer.

It offers immense flexibility in terms of the data science tasks that we perform.

But theres a slight caveat here it can be quite tricky to install software on Linux This is especially true if youre a Linux beginner.

For that, first go to the directory in which the file is downloaded.

I usually prefer the default option unless I have space issues on my main drive and then I give the alternate installation location.

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Keep in mind that the installation might take some time so feel free to grab a coffee while your machine works hard to install everything.

Open a new terminal window, and then we can proceed with the next steps.

Lets say we are working with a State-of-the-Art framework (like PyTorch-Transformers for Natural Language Processing) and we need all the latest versions of the dependent libraries.

And since Anaconda by default comes with Python and all the data science libraries like Pandas, Numpy, Scikit-Learn, etc., you now have all of those in your system too.

The only difference is the Miniconda installer file that you need to download.

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