Introduction to Python Tutorial Basics Part 2 | Applied Data Science | CodeWrestling (2019)

you can check out this google collab link where the whole code of python which is included in the video is covered
https://colab.research.google.com/drive/1xgEP9GAWZp6mZa5rQ-PGtEGFEdK9nCpZ

This introduction to Python tutorial basics of python which will kickstart your learning of Python for data science, as well as python programming in general. This beginner-friendly Python course for beginners will series in python for data science will take you from zero in python pr to programming in Python

Upon completion of this Introduction to python tutorial in datascience, you’ll be able to write your own Basic and advance Python scripts and perform basic and advance hands-on data analysis using google collab lab environment.

What are classes and objects in Python?
Python is an object oriented programming language. Unlike procedure oriented programming, where the main emphasis is on functions, object oriented programming stress on objects.
Object is simply a collection of data (variables) and methods (functions) that act on those data. And, class is a blueprint for the object.

A lambda python function is a small anonymous function in python.
A lambda python function can take any number of arguments, but can only have one expression.

List comprehension in python programming is an elegant way to define and create list in python.
A list comprehension generally consist of these parts
Output expression,

input sequence,

a variable representing member of input sequence

NumPy, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays. Using NumPy, mathematical and logical operations on arrays can be performed.

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