Learn Python Programming: A Complete Bootcamp

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.