Day 2 : Starting with Python For Data Science

Setting up the environment

First of all you need to install Python

Download Python from here

Now that we have installed Python on our computer, we need to get an IDE for writing code. Personally I prefer PyCharm by JetBrains. You may use Atom and etc.

Download PyCharm Community Edition from here

If you know programming, this part shouldn't be very difficult for you. You can skim through the notes, get familiarize with the syntax and you may even write some snippet of code to get comfortable. However, if you do not know programming in any other language. I would suggest you to first complete a programming course before going ahead. If you want to build your basics and understanding of computer science and programming I would suggest you to complete CS 50 course by Harvard.

Read Python online guide click here (part 1 to 4.8 is enough)

This shall provide you the basic understanding of Python. I my self practiced some sorting algorithms in python to get comfortable with it. Will share them in future posts.

Enjoy !

Day 5 : Ace Matplotlib

Now that we have learned a bit about data manipulation and retrieval, we can take next step. That is to start analyzing the data we have gathered. And the easiest way for data analysis is through graph plotting. Don't worry you won't have to calculate every x and y coordinate to plot on graph because python or more specifically matplotlib will do it for us. Q.What is Matplotlib? Ans. It is a python package that makes graph plotting very easy. Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. Wikipedia Later on we will build on to the graph plotting using another python library Seaborn, it is built upon Matplotlib. At this stage learning these libraries might feel very boring to you but trust me if you are to become a data scientist some day, these will be your bread and butter. So focus and absorb as much as you can. The best resource you need to learn matplotlib is the course that i have mentioned in

Data Scientist in 100 days

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