100% Discount || Python For Data Science – Real Time Exercises

Requirements
No programming experience required. You will learn everything from scratch
You can use any one of these – Jupyter Notebook or PyCharm or Google Colab etc.
Description
In this course, you will learn the Python Programming Language with real time coding exercises in Jupyter Notebook, in a very easy to understand language.

First of all, you will see how to install and start using the Jupyter Notebook.

Then we will start with the various useful topics of Python.

Lets have a look at some theoretical part (not covered in video lectures).

Introduction –

Python is a high-level programming language that uses instructions to teach the computer how to perform a task. Python is an easy to learn, powerful programming language.

A language which is closer to the human language (like English) is known as a high-level language.

Python provides an easy approach to object-oriented programming.

Object-oriented is approach used to write programs.

Python is a free and open source language i.e., we can read, modify and distribute the source code of Python scripts.

It was developed by Guido van Rossum and was released in 1991.

Python finds its application in various domains. Python is used to create web applications, used in game development, to create desktop applications, is used in Machine Learning and Data Science.

How Python Works ? –

We write instructions in Python language.

Python is an interpreted language, so there is no need to compiling it.

Python programs runs (executed) directly through source code. The source code is converted into Intermediate Bytecode and then Bytecode is converted into the native language of computer (i.e., machine language) internally by Python Interpreter. The code is executed and the output is presented.

Python Source Code > Intermediate Bytecode > Machine Language > Code Executed

What is a Program ? –

A Program is a set of instructions that tells the computer to perform a specific task. A programming language is the language used to create programs.

Eg. When we click on Play button on media player, then there is a program working behind the scene which tells the computer to turn on the music.

A built-in function is a function which is predefined and can be used directly. Eg. print()

Comments are the pieces of code which are ignored by the python interpreter. Comments are used to make source code easier to understand by other people. Python supports single line comments mean they can cover only one line.

The various topics explained in this course video lectures with examples are as follows –

1. VARIABLES

a = 2 , b = 1.2 , c = ‘Ram’, d = lambda (‘any function’)

# Variables are used to store values. The stored values in the variables can be used later in the programs. We can retrieve them by referring to the variable names.

2. DATATYPES IN PYTHON

Integer (int), Float , String (str) , List , Tuple , Set , Dictionary

3. String – String is a series of characters, surrounded by single or double quotes. Eg. “Hello”, ‘Hello999’, ‘999’.

4. LIST

à Collection of data-types, Mutable : Values can be changed , Ordered : Values order will be as it is , Changeable , Allows duplicate values.

5. TUPLE

( int / float / str ) à B = (1 , 2 , 3.4 , 3.4 , ‘a’ , ‘bcd’ )

àImmutable : Values can’t be changed , Ordered : Values order will be as it is , Unchangeable, Heterogeneous Data, Allows duplicate values.

25. ENUMERATE FUNCTION

It is used to display output with index. We can enumerate as list, tuple, set, dictionary.

Syntax : enumerate( list )

Ex : list ( enumerate (‘apple’ , ‘mango’ , ‘orange’) )

26. ZIP FUNCTION

It is used to zip different iterators(lists) in one.

Syntax : z = zip(list1, list2, list3)

z = list(z) , print(z)

Example : A = [1,2,3] , B = [‘Ram’ , ‘Sham’ , ‘Shiva’] , C = [‘Delhi’, ‘Noida’, ‘Agra’]

z = zip(A, B, C) , z = list(z) , print(z)

27. UNZIP FUNCTION

Syntax : list1, list2, list3 = zip(*z)

Ex : A, B, C = zip(*z)

Who this course is for:
Beginner Python Developers curious about Data Science