Udemy - Basic to Advance Python for Data Analysis

Udemy – Basic to Advance Python for Data Analysis – Part1
English | Tutorial | Size: 4.71 GB

In this Part1, I will teach you Python on my favorite IDE – Pycharm however you can use any other IDLE ,If you wish to. It does not matter at all. Code works the same way.

What are variables and data type used in Python

Declare variables and function to know the data type

How to use constructors and why do we need to learn them.

Know in and not in operators, logical operators, comparison and arithmetic operators

How to pick up the error descriptions and solve the errors using them

How to use for loops and do loops and use them with IF statements

How to use Nested IFs and how to take care of indentations – Very important concept

What are functions in Python and how to create user defined functions

Rules to know before creating a Function

Scope of a variable – Local and Global concepts

Deep dive into Lists and use of lists in Loops with IF Statements

In detail learning about Tuples and use with Loops and every crucial method we should know.

Strings data types and their accessing approach plus methods to handle data

What are error handlers and how to use them.

Introduction to a random module and where you can use it.

Create a Guess a number game using Loops and lists

Create a project to identify odd and even numbers

Create a project to guess and number but this time user should be given 3 attempts

Find out which game has won the highest medals using two lists.

Print function with every small detail . Its parameters like Sep and end – how to use them

F string advantage over normal text if you write in Print function

How to call and import modules or its functions within the directory and outside the directory

My assistance to your questions and replies

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Udemy - Basic to Advance Python for Data Analysis - Part1

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