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07 Days Of Coding In Python Programming Language (Bootcamp)

Posted By: ELK1nG
07 Days Of Coding In Python Programming Language (Bootcamp)

07 Days Of Coding In Python Programming Language (Bootcamp)
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.38 GB | Duration: 8h 7m

Python Programming Language with Full Practical, Exercises, Assignments, Problems and their Solutions.

What you'll learn

Understand basic Python syntax and perform mathematical operations.

Utilize if conditions for decision-making.

Implement and manage loops (for, while).

Define and call functions and functions with default parameters.

Use strings, lists, sets and tuples for data manipulation.

Understand inheritance, polymorphism, and access specifiers.

Requirements

No prior programming experience is required. This course is designed for absolute beginners, and we will guide you through every step from start to finish

Description

Are you ready to master Python programming and take your coding skills to the next level? Welcome to the ultimate Python Bootcamp in 7 days! Whether you’re a complete beginner or looking to strengthen your fundamentals, this course will provide you with everything you need to become a confident Python programmer.Why this course?We believe in learning by doing. This is not just a theory-based course—it’s packed with coding exercises to help you immediately implement the concepts you learn. Each lesson builds on the previous one, ensuring a seamless and practical learning experience.What makes this course unique?Hands-on coding exercises to apply what you learn.Beginner-friendly, no prior programming knowledge required!Real-world problem-solving techniques explained step-by-step.Practical examples to reinforce your learning with every lesson.What will you achieve by the end of this course?Understand and apply core programming concepts, including loops, functions, if conditions, and more.Build a solid foundation in Python with practical examples and exercises.Solve real-world programming challenges with confidence.Curriculum Overview:Foundations of Python ProgrammingLearn how to handle different data types, including numbers, strings, lists, tuples, sets, and dictionaries.Master essential operations like mathematical calculations, logical expressions, and string manipulations.Understand how to take user input, display output, and manipulate data dynamically.Control Flow and Logic ImplementationDevelop the ability to write decision-making structures using if, elif, and else statements.Use loops (for and while) effectively to iterate over data structures and automate repetitive tasks.Learn nested loops and conditional logic to solve more complex programming challenges.Functions and Code OptimizationUnderstand the power of functions in writing modular, reusable, and readable code.Explore function parameters, default values, and return statements.Learn how to handle multiple return values efficiently.Working with Python Data StructuresGain in-depth knowledge of lists, tuples, sets, and dictionaries—Python’s most versatile data structures.Master essential operations such as adding, modifying, and removing elements.Learn advanced techniques like list comprehensions, slicing, sorting, and filtering data.Advanced String and Data Formatting TechniquesDiscover different ways to format text output, including f-strings, format(), and alignment methods.Work with number formatting, padding, and comma-separated values to enhance output readability.Error Handling and DebuggingLearn how to identify and handle exceptions gracefully using try, except, and finally blocks.Understand how to catch multiple exceptions and use debugging techniques to write more reliable code.Introduction to Object-Oriented Programming (OOP)Learn how to create and use classes and objects in Python.Understand core OOP principles such as encapsulation, inheritance, polymorphism, and method overriding.Explore constructors, destructors, and method resolution order (MRO) for class hierarchy.Join us now and turn your coding dreams into reality! With each topic followed by a practical exercise, you’ll feel the progress every step of the way. Let’s build your Python skills together!

Overview

Section 1: Day 1

Lecture 1 Data types Part 1

Lecture 2 Data types Part 2

Lecture 3 Reading inputs

Lecture 4 Type checking

Lecture 5 Type conversion

Lecture 6 Math operations Part 1

Lecture 7 Math operations Part 2

Lecture 8 Math operations Part 3

Lecture 9 Booleans part 1

Lecture 10 Booleans part 2

Lecture 11 Booleans part 3

Section 2: Coding exercise of day 1

Lecture 12 Challenge

Lecture 13 Challenege

Lecture 14 Challenege

Lecture 15 Challenege

Section 3: Day 2

Lecture 16 Booleans part 4

Lecture 17 Booleans part 5

Lecture 18 Booleans part 6

Lecture 19 Strings part 1

Lecture 20 Strings part 2

Lecture 21 Strings part 3

Lecture 22 If statement part 1

Lecture 23 If statement part 2

Lecture 24 If statement part 3

Lecture 25 If statement part 4

Lecture 26 If statement part 5

Section 4: Coding exercise of day 2

Lecture 27 Challenege

Lecture 28 Challenege

Lecture 29 Challenege

Lecture 30 Challenege

Lecture 31 Challenege

Lecture 32 Challenege

Section 5: Day 3

Lecture 33 Loops part 1

Lecture 34 Loops part 2

Lecture 35 Loops part 3

Lecture 36 Loops part 4

Lecture 37 Functions part 1

Lecture 38 Functions part 2

Lecture 39 Functions part 3

Lecture 40 Functions part 4

Section 6: Coding exercise of day 3

Lecture 41 Challenege

Lecture 42 Challenege

Lecture 43 Challenege

Lecture 44 Challenege

Lecture 45 Challenege

Lecture 46 Challenege

Lecture 47 Challenege

Section 7: Day 4

Lecture 48 Lists part 1

Lecture 49 Lists part 2

Lecture 50 Lists part 3

Lecture 51 Lists part 4

Lecture 52 Lists part 5

Lecture 53 Lists part 6

Lecture 54 Lists part 7

Lecture 55 Tuples part 1

Lecture 56 Tuples part 2

Lecture 57 Tuples part 3

Lecture 58 Tuples part 4

Lecture 59 Tuples part 5

Lecture 60 Tuples part 6

Lecture 61 Tuples part 7

Section 8: Coding exercise of day 4

Lecture 62 Challenege

Lecture 63 Challenege

Lecture 64 Challenege

Lecture 65 Challenege

Lecture 66 Challenege

Lecture 67 Challenege

Lecture 68 Challenege

Lecture 69 Challenege

Lecture 70 Challenege

Section 9: Day 5

Lecture 71 Sets part 1

Lecture 72 Sets part 2

Lecture 73 Sets part 3

Lecture 74 Sets part 4

Lecture 75 Sets part 5

Lecture 76 Sets part 6

Lecture 77 Dictionaries part 1

Lecture 78 Dictionaries part 2

Lecture 79 Dictionaries part 3

Lecture 80 Dictionaries part 4

Lecture 81 Dictionaries part 5

Lecture 82 Dictionaries part 6

Lecture 83 Dictionaries part 7

Section 10: Coding exercise of day 5

Lecture 84 Challenege

Lecture 85 Challenege

Lecture 86 Challenege

Lecture 87 Challenege

Lecture 88 Challenege

Lecture 89 Challenege

Lecture 90 Challenege

Section 11: Day 6

Lecture 91 Formatted printing part 1

Lecture 92 Formatted printing part 2

Lecture 93 Formatted printing part 3

Lecture 94 Exception handling part 1

Lecture 95 Exception handling part 2

Lecture 96 Exception handling part 3

Lecture 97 Exception handling part 4

Lecture 98 Exception handling part 5

Lecture 99 Exception handling part 6

Lecture 100 Object-Oriented Programming part 1

Lecture 101 Object-Oriented Programming part 2

Lecture 102 Object-Oriented Programming part 3

Section 12: Coding exercise of day 6

Lecture 103 Challenege

Lecture 104 Challenege

Lecture 105 Challenege

Section 13: Day 7

Lecture 106 Object-Oriented Programming part 4

Lecture 107 Object-Oriented Programming part 5

Lecture 108 Object-Oriented Programming part 6

Lecture 109 Object-Oriented Programming part 7

Lecture 110 Object-Oriented Programming part 8

Lecture 111 Object-Oriented Programming part 9

Lecture 112 Object-Oriented Programming part 10

Lecture 113 Object-Oriented Programming part 11

Lecture 114 Object-Oriented Programming part 12

Section 14: Coding exercise of day 7

Lecture 115 Challenege

Lecture 116 Challenege

Lecture 117 Challenege

Absolute beginners with no prior programming experience.,Students looking to learn Python for academic or personal projects.,Aspiring software developers starting their programming journey.,Tech enthusiasts eager to build a strong foundation in Python.,Anyone interested in understanding core programming concepts.