Complete 2026 Python Bootcamp: Learn Python from Scratch
Course Description
Welcome to Complete 2026 Python Bootcamp: Learn Python from Scratch! This course is your ultimate starting point to master Python and become a confident coder—whether you’re a complete beginner or looking to sharpen your skills.
In this comprehensive, step-by-step course, you’ll start with the basics and gradually progress to advanced topics, learning how to build real-world applications along the way. Python is one of the most versatile and in-demand programming languages, used in fields like web development, data science, machine learning, automation, and more. By the end of this course, you’ll have the skills and knowledge to take on professional coding challenges and start your career in tech.
What You'll Learn:
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Python programming fundamentals, including variables, loops, conditionals, and data types.
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How to build Python projects from scratch, including games, automation scripts, and web applications.
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Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems.
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Debugging and problem-solving techniques to write clean, efficient code.
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Practical tips and techniques to prepare for coding interviews and real-world development tasks.
Why Take This Course?
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Beginner-Friendly: No prior programming experience is required.
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Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.
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Real-World Applications: Learn Python in the context of actual use cases, from web scraping to automating tasks.
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Career-Focused: Equip yourself with the skills needed to land your first job or advance your career in tech.
Course Curriculum
- 1 Introduction to Python & Features of Python
- 2 PVM, Frozen Binaries & Memory management
- 3 Execution & Viewing the Byte Code
- 4 Installing & Testing Python for Windows
- 5 Setting the Path & Executing First Python Program
- 6 Comments in Python & Docstrings
- 7 Datatypes & Built-in datatypes
- 8 Bool Datatype, Sequences in Python & Sets
- 9 Variable & Determining the datatype
- 10 Variables Rules & Conventions
- 11 User-defined Datatypes & Constants
- 12 Operators 1
- 13 Operators 2
- 14 Control Statements
- 15 The if Statement
- 16 Indentation & Short Hand if
- 17 The while Loop
- 18 For Loop - break and continue statements
- 19 Infinite & Nested Loops
- 20 Defining & Calling a Function
- 21 Returning Values from a Function
- 22 Formal, Actual & Positional Arguments
- 23 Keyword & Default Arguments
- 24 Variable Length Arguments & Recursive function
- 25 Iteration Control Flow
- 1 Anonymous Functions or Lambdas
- 2 Generators & Decorators
- 3 Structured Programming & Modules
- 4 Input, Filter and Map
- 5 Strings - Creating & Length of a String
- 6 Indexing in Strings
- 7 Slicing & Reverse Strings
- 8 Case Modification
- 9 Membership, Replacement & Sub Strings
- 10 Split, Join, Find, Index
- 11 Concatenation of Strings
- 12 Lists - Create
- 13 Lists - Slicing and Updating
- 14 Lists - Add and Remove Items
- 15 List Remaining Methods
- 16 Membership & Nested Lists
- 17 List Comprehensions
- 18 Tuples Creating and Modifications
- 19 Basic Operations on Tuples
- 20 Sets
- 21 Operations on Dictionaries
- 22 Dictionary Methods
- 23 Looping through and sorting dictionaries
- 1 Files in Python
- 2 Pickle and With Statement
- 3 Random Accessing & Zipping
- 4 Regular Expressions
- 5 Quantifiers in Regular Expressions
- 6 Special Characters & Sequences
- 7 Multithreading & Concurrent Programming
- 8 Thread Class Methods
- 9 Thread Synchronization (Lock and Semaphore)
- 10 Deadlocks and Avoiding Deadlock
- 11 Thread Communications