Python for Data Science Module 2: Functions and Module 3: Numpy

Modules 2 and 3 Lectures for Python for Data Science course floated on ISSS platform (isssonline.in/....
The course website is live at: arpit-omprakas...
This video walks you through the basic building blocks of code in Python. We first talk about functions in Python (Module 2). We talk about the syntax, defining functions, using certain special functions such as map and filter to easily access and modify data. We also talk about lambda functions in Python and how we can combine all three to carry out complex and frequently carried out tasks in short one line codes.
Then we move on to Numpy (Module 3). There is an overview of what numpy is, what an array object in numpy is, and how we can create arrays in numpy. Then we talk about slicing, broadcasting, indexing, and selection in numpy arrays. We also talk about some attributes of numpy arrays that we will be using frequently.

[@arpitomprakash]

Module 3 content live on website. Check it out: arpit-omprakash.github.io/Python-for-Data-Science/introduction.html