Python Tutorials – 1.0 – Getting Started

On September 18, 2017, in Uncategorized, by Aritra Sen

From the mid of this year , I found my new interest and i.e. Data Science , I should say Data Science with Python. Though I am just a beginner in this field but the more you share your knowledge , the more it benefits you.

This would be a series of tutorials where I will share and increase my knowledge for Python. May be if it goes well , I will be share my small knowledge of Data Science which I gathered so far.

Why Python?

Python was developed by Guido Van Rossum. Python is a general purpose – open source, easy to learn language which now being used in various field like –

  • Data Science
  • Deep Learning
  • Web development
  • Web scrapping
  • Game development  and this list is never ending.

Along with Python has a number of standard libraries which makes life of a programmer much easier since you don’t have to write all the code yourself. For example to call a web-service in Python you need to write hardly 4/5 lines of code.

Or by using scikit learn library you can create robust data science model very easily.

Python Interpreted Language:

C, C++ is complied language but Python is a Interpreted language. In complied language compiler first compiles the whole program then run the program , however in Python the interpreter will parse the language line by line.

Next article would be Python data types and variables.

Note : In this tutorial series , we will use Python 3 and Jupyter notebook which comes with Anaconda-  4.4.0.


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