Python Programming Fundamentals 2025

Python Programming ,Data Structures ,Data Visualization, Images and Videos Processing

What you'll learn

Python Fundamentals: Understand Python syntax, variables, data types, data structures and control.

Core Concepts: Dive into functions, modules, classes, objects, files handling, and files manipulation including text, images and videos.

Work with Python Libraries: Get hands-on important Python libraries like NumPy, Pandas, Matplotlib, Plotly Express, and OpenCV.

Build Projects: Apply your knowledge to create real-world projects, enhancing your coding skills and problem-solving abilities.

Requirements

English Language

Description

Python ProgrammingWelcome to this course of Python Programming Fundamentals!Actually Python is one of the most important programming languages that are contributing to the world technology development.Python is widely used in various domains such as, data analysis, artificial intelligence, machine learning, scientific computing, game development, web development and more.Python is and perfect choice for both beginners, experienced and expert developers and professionals.The students will learn in this course:Python Fundamentals: Understand Python syntax, variables, data types, data structures and control.Core Concepts: Dive into functions, modules, classes, objects, files handling, and files manipulation including text, images and videos.Work with Python Libraries: Get hands-on important Python libraries like NumPy, Pandas, Matplotlib, Plotly Express, and OpenCV.Build Projects: Apply your knowledge to create real-world projects, enhancing your coding skills and problem-solving abilities.This course is structured to provide you with step-by-step guidance, real coding examples, to reinforce your skills, and make python programming easy and expand your imagination to create real models. Whether you're new to programming or looking to expand your skills, Python is a powerful tool that will open doors to endless possibilities for you.Let’s embark together in this exciting journey and unlock the potential of Python programming.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Python IDE Installation And Verification

Lecture 2 Python IDE

Lecture 3 Pycharm

Lecture 4 Anaconda

Lecture 5 Verification

Section 3: Python Variables

Lecture 6 Python Programming Comments

Lecture 7 Strings

Lecture 8 Integers

Lecture 9 Floats

Lecture 10 Booleans

Lecture 11 Python Variables Casting

Section 4: Python Buil-In Data Structures

Lecture 12 Python Lists

Lecture 13 Python Tuples

Lecture 14 Python Sets

Lecture 15 Python Dictionaries

Section 5: Python Aritmetic Operations

Lecture 16 Addition

Lecture 17 Subtraction

Lecture 18 Multiplication

Lecture 19 Division

Lecture 20 Modulus

Lecture 21 Floor Division

Lecture 22 Exponentiation

Section 6: Python Conditional Statements

Lecture 23 If-Statment

Lecture 24 If-Else Statement

Lecture 25 if-elif

Section 7: Python Loops

Lecture 26 For Loop

Lecture 27 For In Range Loop

Lecture 28 Nested Loops

Lecture 29 For-Else Loop

Lecture 30 While Loop

Section 8: Python Functions

Lecture 31 Lambda Function

Lecture 32 Function-1

Lecture 33 Function-2

Section 9: Python Built-In Math Functions

Lecture 34 Maximum and Minimum

Lecture 35 Absolute

Lecture 36 Power

Section 10: Python User Input

Lecture 37 User Input-1

Lecture 38 User Input-2

Section 11: Python Modules

Lecture 39 Modules

Section 12: Python Datetime

Lecture 40 Datetime

Section 13: Python Formatting Strings

Lecture 41 Formatting Strings

Section 14: Python Classes & Objects

Lecture 42 Classes and Objects-1

Lecture 43 Classes and Objects-2

Section 15: Python Arrays

Lecture 44 Arrays-1

Lecture 45 Arrays-2

Lecture 46 Arrays-3

Lecture 47 Arrays-4

Section 16: Python DataFrames

Lecture 48 DataFrames Creation

Lecture 49 DataFrames-Common Operations-1

Lecture 50 DataFrames-Common Operations-2

Lecture 51 DataFrames-Common Operations-3

Section 17: Python Data Visualization

Lecture 52 Mathmetical Plots

Lecture 53 Catagorical Plots

Lecture 54 Scatter Plots

Lecture 55 Geographical Plots

Section 18: Python Docstrings

Lecture 56 Docstrings

Section 19: Python Random

Lecture 57 Random

Section 20: Python Text Files Handling

Lecture 58 Text Files Creating

Lecture 59 Text Files Reading

Lecture 60 Text Files Writting

Lecture 61 Text Files Appending

Lecture 62 Text Files Deleting

Section 21: Python Images Processing

Lecture 63 Images Processing

Lecture 64 Images Resizing

Lecture 65 Color to Gray Conversion

Lecture 66 Images Blurring

Lecture 67 Images Denoising

Section 22: Python Video Proceesing

Lecture 68 Video to Images Conversion

Lecture 69 Search An Image Inside A Video

Section 23: Final Exam

Beginners, Programmers Looking To Expand Theirs Skills, Students, Scientists , Engineers, Professionals