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    Learn Python Programming: A Complete Bootcamp

    Posted By: ELK1nG
    Learn Python Programming: A Complete Bootcamp

    Learn Python Programming: A Complete Bootcamp
    Published 3/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 7.45 GB | Duration: 23h 39m

    Python Bootcamp: From Fundamentals to Mastery – Build a Strong Foundation in Programming

    What you'll learn

    Understand Python syntax and basic operations.

    Implement loops and conditional statements effectively.

    Use functions for modular and reusable code.

    Perform mathematical operations using math modules.

    Work with sets, tuples, lists, and dictionaries for data storage.

    Apply object-oriented programming (OOP) principles.

    Utilize classes, inheritance, and polymorphism in OOP.

    Implement basic data structures for efficient problem-solving.

    Explore Python modules for enhanced functionality.

    Requirements

    No programming required. You will learn everything you need

    Description

    Welcome to the Python Bootcamp, a comprehensive hands-on course designed to help you master Python programming from the ground up. Whether you are a complete beginner or someone looking to refine your coding skills, this course is structured to provide a step-by-step learning experience covering fundamental concepts to advanced programming techniques.Why Take This Course?Python is one of the most popular programming languages in the world, known for its simplicity, readability, and versatility. It is widely used in web development, data science, artificial intelligence, automation, and software engineering. This course will not only teach you Python syntax and core programming concepts but also help you develop the problem-solving skills necessary to write efficient and scalable code.Who Should Take This Course?Absolute beginners who want to learn programming from scratch.Students and professionals looking to build a strong foundation in Python.Software engineers, data analysts, and AI enthusiasts who want to expand their skill set.Anyone interested in automation, web development, or scripting using Python.What You Will Learn1. Python BasicsUnderstanding Python syntax and execution flow.Variables, data types, and operators.String manipulation and formatting.2. Control Flow: Loops and Conditional StatementsImplementing if-else conditions for decision-making.Using for and while loops for repetition.Understanding nested loops and logical operators.3. Functions and Modular ProgrammingDefining and calling functions in Python.Function parameters, return values, and scope.The importance of code reusability and modular programming.4. Math Modules and Built-in FunctionsPerforming mathematical operations using the math module.Exploring built-in functions for calculations and data manipulation.5. Data Collections: Sets, Tuples, Lists, and DictionariesUnderstanding lists and their operations (sorting, indexing, slicing).Using tuples for immutable collections.Leveraging sets for unique elements and mathematical operations.Working with dictionaries for key-value data storage.6. Object-Oriented Programming (OOP)Understanding classes and objects in Python.Implementing encapsulation, inheritance, and polymorphism.Creating real-world applications using OOP concepts.87 Python Data Structure Modules and PackagesImporting and using built-in Python modules such as namedtuple, chainmap, counter, ordereddictionaries, heapq, and deque,.Creating and organizing your own modules.Understanding the Python package management system.What Makes This Course Unique? * Comprehensive Curriculum – Covers everything from basic syntax to advanced OOP and data structures. * Hands-on Learning – Practice coding with real-world exercises and projects. * Step-by-Step Approach – Each topic builds on the previous one for easy learning. * No Prior Experience Required – Designed for absolute beginners. * Practical Applications – Learn how to write clean, efficient, and reusable Python code.By the end of this course, you will have the skills and confidence to build Python applications, automate tasks, and explore more advanced areas like data science, AI, or web development. * Join this bootcamp and start your Python programming journey today!

    Overview

    Section 1: Basic syntax

    Lecture 1 Coding environment

    Lecture 2 Numeric data types in Python

    Lecture 3 Strings

    Lecture 4 Coding exercise #1: Type checking

    Lecture 5 Coding exercise #2: Type conversion

    Lecture 6 Coding exercise #3: Modulus operator

    Lecture 7 Coding exercise #4: Floor division

    Lecture 8 Coding exercise #5: Reading inputs

    Lecture 9 Boolean data types

    Lecture 10 Boolean basics

    Lecture 11 Coding exercise #6: Boolean expressions

    Lecture 12 Coding exercise #7: A simple comparison

    Lecture 13 Coding exercise #8: Logical operator

    Lecture 14 Coding exercise #9: Truthy and Falsy values

    Lecture 15 More about strings

    Lecture 16 Coding exercise #10: String length

    Lecture 17 Coding exercise #11: String indexing

    Lecture 18 Coding exercise #12: String repetition

    Lecture 19 Coding exercise #13: String slicing

    Lecture 20 Coding exercise #14: Combine two strings

    Lecture 21 Coding exercise #15: Checking substrings

    Lecture 22 Coding exercise #16

    Lecture 23 Coding exercise #17: Converting

    Lecture 24 Coding exercise #18: Replace function

    Lecture 25 Coding exercise #19

    Lecture 26 Coding exercise #20: Numerical representation

    Lecture 27 Coding exercise #21: Smallest and largest characters

    Lecture 28 Coding exercise #22: islower() and isupper()

    Lecture 29 Coding exercise #23

    Lecture 30 Coding exercise #24: endwith

    Lecture 31 Coding exercise #25: Finding index

    Lecture 32 Coding exercise #26: Number of occurences

    Lecture 33 Coding exercise #27: Convertion

    Lecture 34 Coding exercise #28: Uppercase first letters

    Lecture 35 Coding exercise #29: Lowercase all letters

    Lecture 36 Coding exercise #30: Uppercase all letters

    Lecture 37 Coding exercise #31: Replace functions

    Lecture 38 Coding exercise #32: Split()

    Section 2: Conditional statements

    Lecture 39 Conditional statements

    Lecture 40 Conditional statements

    Lecture 41 Conditional statements

    Lecture 42 Conditional statements

    Lecture 43 Conditional statements

    Lecture 44 Conditional statements

    Lecture 45 Conditional statements

    Lecture 46 Conditional statements

    Lecture 47 Conditional statements

    Lecture 48 Conditional statements

    Lecture 49 Conditional statements

    Section 3: Math modules

    Lecture 50 Math modules

    Lecture 51 Math modules

    Lecture 52 Math modules

    Lecture 53 Math modules

    Lecture 54 Math modules

    Lecture 55 Math modules

    Lecture 56 Math modules

    Section 4: Loops

    Lecture 57 Loops

    Lecture 58 Loops

    Lecture 59 Loops

    Lecture 60 Loops

    Lecture 61 Loops

    Lecture 62 Loops

    Lecture 63 Loops

    Lecture 64 Loops

    Lecture 65 Loops

    Lecture 66 Loops

    Section 5: Functions

    Lecture 67 Functions

    Lecture 68 Functions

    Lecture 69 Functions

    Lecture 70 Functions

    Lecture 71 Functions

    Lecture 72 Functions

    Lecture 73 Functions

    Lecture 74 Functions

    Lecture 75 Functions

    Lecture 76 Functions

    Lecture 77 Functions

    Lecture 78 Functions

    Lecture 79 Functions

    Lecture 80 Functions

    Section 6: Lists

    Lecture 81 Lists

    Lecture 82 Lists

    Lecture 83 Lists

    Lecture 84 Lists

    Lecture 85 Lists

    Lecture 86 Lists

    Lecture 87 Lists

    Lecture 88 Lists

    Lecture 89 Lists

    Lecture 90 Lists

    Lecture 91 Lists

    Lecture 92 Lists

    Lecture 93 Lists

    Lecture 94 Lists

    Lecture 95 Lists

    Lecture 96 Lists

    Lecture 97 Lists

    Lecture 98 Lists

    Lecture 99 Lists

    Section 7: Tuples

    Lecture 100 Tuples

    Lecture 101 Tuples

    Lecture 102 Tuples

    Lecture 103 Tuples

    Lecture 104 Tuples

    Lecture 105 Tuples

    Lecture 106 Tuples

    Lecture 107 Tuples

    Lecture 108 Tuples

    Lecture 109 Tuples

    Lecture 110 Tuples

    Lecture 111 Tuples

    Lecture 112 Tuples

    Lecture 113 Tuples

    Section 8: Sets

    Lecture 114 Sets

    Lecture 115 Sets

    Lecture 116 Sets

    Lecture 117 Sets

    Lecture 118 Sets

    Lecture 119 Sets

    Lecture 120 Sets

    Lecture 121 Sets

    Lecture 122 Sets

    Lecture 123 Sets

    Lecture 124 Sets

    Lecture 125 Sets

    Lecture 126 Sets

    Lecture 127 Sets

    Lecture 128 Sets

    Lecture 129 Sets

    Lecture 130 Sets

    Lecture 131 Sets

    Lecture 132 Sets

    Lecture 133 Sets

    Lecture 134 Sets

    Lecture 135 Sets

    Lecture 136 Sets

    Lecture 137 Sets

    Section 9: Dictionaries

    Lecture 138 Dictionaries

    Lecture 139 Dictionaries

    Lecture 140 Dictionaries

    Lecture 141 Dictionaries

    Lecture 142 Dictionaries

    Lecture 143 Dictionaries

    Lecture 144 Dictionaries

    Lecture 145 Dictionaries

    Lecture 146 Dictionaries

    Lecture 147 Dictionaries

    Lecture 148 Dictionaries

    Lecture 149 Dictionaries

    Lecture 150 Dictionaries

    Lecture 151 Dictionaries

    Lecture 152 Dictionaries

    Section 10: Formatted printing

    Lecture 153 Formatted printing

    Lecture 154 Formatted printing

    Lecture 155 Formatted printing

    Lecture 156 Formatted printing

    Lecture 157 Formatted printing

    Lecture 158 Formatted printing

    Lecture 159 Formatted printing

    Section 11: Exception handling

    Lecture 160 Exception handling

    Lecture 161 Exception handling

    Lecture 162 Exception handling

    Lecture 163 Exception handling

    Lecture 164 Exception handling

    Lecture 165 Exception handling

    Lecture 166 Exception handling

    Lecture 167 Exception handling

    Lecture 168 Exception handling

    Lecture 169 Exception handling

    Lecture 170 Exception handling

    Lecture 171 Exception handling

    Section 12: Object-Oriented Programming

    Lecture 172 Object-Oriented Programming

    Lecture 173 Object-Oriented Programming

    Lecture 174 Object-Oriented Programming

    Lecture 175 Object-Oriented Programming

    Lecture 176 Object-Oriented Programming

    Lecture 177 Object-Oriented Programming

    Lecture 178 Object-Oriented Programming

    Lecture 179 Object-Oriented Programming

    Lecture 180 Object-Oriented Programming

    Lecture 181 Object-Oriented Programming

    Lecture 182 Object-Oriented Programming

    Lecture 183 Object-Oriented Programming

    Lecture 184 Object-Oriented Programming

    Lecture 185 Object-Oriented Programming

    Lecture 186 Object-Oriented Programming

    Lecture 187 Object-Oriented Programming

    Lecture 188 Object-Oriented Programming

    Lecture 189 Object-Oriented Programming

    Lecture 190 Object-Oriented Programming

    Lecture 191 Object-Oriented Programming

    Lecture 192 Object-Oriented Programming

    Lecture 193 Object-Oriented Programming

    Lecture 194 Object-Oriented Programming

    Lecture 195 Object-Oriented Programming

    Lecture 196 Object-Oriented Programming

    Lecture 197 Object-Oriented Programming

    Lecture 198 Object-Oriented Programming

    Lecture 199 Object-Oriented Programming

    Lecture 200 Object-Oriented Programming

    Lecture 201 Object-Oriented Programming

    Lecture 202 Object-Oriented Programming

    Lecture 203 Object-Oriented Programming

    Lecture 204 Object-Oriented Programming

    Lecture 205 Object-Oriented Programming

    Lecture 206 Object-Oriented Programming

    Lecture 207 Object-Oriented Programming

    Lecture 208 Object-Oriented Programming

    Section 13: Data Structure Modules

    Lecture 209 Data Structure Modules

    Lecture 210 Data Structure Modules

    Lecture 211 Data Structure Modules

    Lecture 212 Data Structure Modules

    Lecture 213 Data Structure Modules

    Lecture 214 Data Structure Modules

    Lecture 215 Data Structure Modules

    Lecture 216 Data Structure Modules

    Lecture 217 Data Structure Modules

    Lecture 218 Data Structure Modules

    Lecture 219 Data Structure Modules

    Lecture 220 Data Structure Modules

    Lecture 221 Data Structure Modules

    Lecture 222 Data Structure Modules

    Lecture 223 Data Structure Modules

    Lecture 224 Data Structure Modules

    Lecture 225 Data Structure Modules

    Lecture 226 Data Structure Modules

    Lecture 227 Data Structure Modules

    Lecture 228 Data Structure Modules

    Lecture 229 Data Structure Modules

    Lecture 230 Data Structure Modules

    Lecture 231 Data Structure Modules

    Lecture 232 Data Structure Modules

    Lecture 233 Data Structure Modules

    Lecture 234 Data Structure Modules

    Lecture 235 Data Structure Modules

    Lecture 236 Data Structure Modules

    Lecture 237 Data Structure Modules

    Lecture 238 Data Structure Modules

    Lecture 239 Data Structure Modules

    Section 14: Projects

    Lecture 240 Project 1

    Lecture 241 Project 2

    Lecture 242 Project 3

    Lecture 243 Project 4

    Lecture 244 Project 5

    Lecture 245 Project 6

    Lecture 246 Project 7

    Lecture 247 Project 8

    Lecture 248 Project 9

    Lecture 249 Project 10

    Lecture 250 Project 11

    Lecture 251 Project 12

    Lecture 252 Project 13

    Lecture 253 Project 14

    Lecture 254 Project 15

    Lecture 255 Project 16

    Lecture 256 Project 17

    Lecture 257 Project 18

    Lecture 258 Project 19

    Lecture 259 Project 20

    Lecture 260 Project 21

    Lecture 261 Project 22

    Lecture 262 Project 23

    Lecture 263 Project 24

    Lecture 264 Project 25

    Lecture 265 Project 26

    Lecture 266 Project 27

    Lecture 267 Project 28

    Lecture 268 Project 29

    Lecture 269 Project 30

    Lecture 270 Project 31

    Lecture 271 Project 32

    Lecture 272 Project 33

    Lecture 273 Project 34

    Lecture 274 Project 35

    Lecture 275 Project 36

    Lecture 276 Project 37

    Lecture 277 Project 38

    Lecture 278 Project 39

    Lecture 279 Project 40

    Lecture 280 Project 41

    Lecture 281 Project 42

    Lecture 282 Project 43

    Lecture 283 Project 44

    Lecture 284 Project 45

    Lecture 285 Project 46

    Lecture 286 Project 47

    Lecture 287 Project 48

    Lecture 288 Project 49

    Lecture 289 Project 50

    Lecture 290 Project 51

    Lecture 291 Project 52

    Lecture 292 Project 53

    Lecture 293 Project 54

    Lecture 294 Project 55

    Lecture 295 Project 56

    Lecture 296 Project 57

    Lecture 297 Project 58

    Lecture 298 Project 59

    Absolute beginners who want to learn programming from scratch.,Students and professionals looking to build a strong foundation in Python.,Software engineers, data analysts, and AI enthusiasts who want to expand their skill set.,Anyone interested in automation, web development, or scripting using Python.