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.