Python Programming Mastery From A-Z

Python Programming Mastery From A-Z

What you'll learn

Python lists, Python loops, Python strings, Python functions.

Python arrays, Python operators, and many Python syntax.

How to write python complex programs

Can work as Data Analyst or a backend web developer

Requirements

No programming experience required. The course break everything down

Description

This course "Python Programming Mastery From A-Z" provides a comprehensive introduction to Python, one of the most popular and versatile programming languages used today. Designed for beginners with little to no prior programming experience, it covers core programming concepts and guides students through hands-on projects that emphasize problem-solving and critical thinking. Participants will gain the skills to write efficient, reusable, and readable Python code for a variety of applications.By the end of this course, students will be able to:Understand and use fundamental programming concepts such as variables, data types, and control structures.Perform data manipulation with strings, numbers, lists, dictionaries, and other data structures.Apply functions, loops, and conditional statements to solve real-world problems.Read, write, and debug Python scripts effectively.Use modules and libraries to enhance Python’s capabilities.Work with files and handle exceptions in Python.Course OutlineIntroduction to Python and SetupVariables, Data Types, and OperatorsControl Structures: Conditionals and LoopsFunctions and Modular ProgrammingWorking with Lists, Tuples, and DictionariesFile Handling in PythonError and Exception HandlingIntroduction to Object-Oriented ProgrammingLibraries and Tools for Data ProcessingTools and SoftwarePython (latest stable version)Integrated Development Environment (IDE) such as PyCharm, VSCode, or Jupyter NotebookTarget AudienceThis course is ideal for students, professionals, and anyone interested in learning programming from scratch or enhancing their coding skills with Python.

Overview

Section 1: Introduction To Python

Lecture 1 Python Installation and Configuration

Lecture 2 Different Ways to Run Python Program

Lecture 3 Runing Python Using VS Code

Section 2: Python Basics

Lecture 4 Variables

Lecture 5 Strings Variables

Lecture 6 Integer and Float Datatype

Lecture 7 Python Casting

Lecture 8 Python Comments

Section 3: Python Operators

Lecture 9 Arithmetic Operators

Lecture 10 Assignment Operator

Lecture 11 Comparison Operators

Lecture 12 Input Function

Lecture 13 Exercise 1

Lecture 14 Logical Operators

Section 4: Python Selection

Lecture 15 If statement

Lecture 16 If: elif: else: Statement

Lecture 17 Exercise 2

Lecture 18 Solution to Exercise 2

Section 5: Python Loops

Lecture 19 While Loop

Lecture 20 For Loop

Lecture 21 Range Function

Lecture 22 Exercise 3

Lecture 23 Solution to Exercise 3

Section 6: Python Data Structure

Lecture 24 List

Lecture 25 Tuple

Lecture 26 Set

Lecture 27 Dictionary

Lecture 28 Exercise 4

Lecture 29 Solution To Exercise 4

Section 7: Function

Lecture 30 Function

Lecture 31 Function Default Value

Lecture 32 Return Statement

Lecture 33 Pass Statement

Lecture 34 Lambda Function

Lecture 35 Scope of Variable

Section 8: Game Development Project

Lecture 36 Game Development

Lecture 37 Solution to Game Development

Section 9: Python Module

Lecture 38 Modules

Lecture 39 Python Built-In-Module

Lecture 40 Calendar Module - (Month)

Lecture 41 Calendar Module - (Year)

Lecture 42 Maths Module

Lecture 43 Math Module - Square Root

Lecture 44 Pip Install a Package

Lecture 45 Uninstalling a PIP

Lecture 46 Using Camelcase Module

Section 10: File Handling

Lecture 47 Reading a File

Lecture 48 Readline

Lecture 49 Closing a File

Lecture 50 Append

Lecture 51 Over Writing a File

Lecture 52 Creating a New File

Lecture 53 Deleting a File

Lecture 54 Deleting a File Part 2

Section 11: Additional - Data Analytics Panda

Lecture 55 Introduction To Pandas

Lecture 56 Loading CSV Files

Lecture 57 Loading Excel Files

Lecture 58 Pandas Describe

Lecture 59 Viewing More than One Columns

Lecture 60 DataFrame Summary

Lecture 61 Python Mastery

Lecture 62 Article

Beginner, Intermediate and Advance Python Students