
This course includes our updated coding exercises so you can practice your skills as you learn.
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Discover what a programming language is and why Python attracts beginners, data scientists, and AI and machine learning enthusiasts. Learn how syntax guides turning ideas into readable, executable code.
Download the Python handbook and code files to practice along with lectures. Slow playback, code in VS Code, and engage in role plays and exercises to master Python from scratch.
Learn typecasting in Python by converting data between int, string, and float using int() and str(), with practical examples showing casting, type changes, and handling user input.
Explore taking user input in Python with the input function, prompts, and type casting to integers before printing results.
Explore how for loops in Python iterate over sequences using range, enabling you to print numbers, generate a multiplication table, and understand loop behavior without writing 1000 lines.
Explore how while loops work in Python, compare them to for loops, and learn to control execution with a condition and update the value of i, while avoiding infinite loops.
Master python string slicing by using positive and negative indices, explore how 0 to 2 and 2 to -1 extract characters, and apply step-based slicing to skip characters.
Explore Python function scope and lifetime, differentiate local and global variables, use the global keyword, and document with docstrings for functions, classes, and modules.
Explore practice set four on functions, covering defining functions, lambda and map, recursion with factorial and sum of digits, and modules with math and requests, plus docstrings and scope concepts.
Tuples are ordered but immutable collections you cannot change; learn about tuple unpacking, count and index methods, and why they are faster than lists and hashable for dictionary keys.
Explore how dictionaries store key-value pairs for fast lookups, access and modify entries, and use methods like keys, values, pop, and clear, including dictionary comprehensions.
explains that a class is a blueprint for objects, an object is a class instance with attributes and methods, and self references the object when calling its salary method.
Explore getters and setters in Python, using property decorators to access and modify attributes like first name, demonstrating encapsulation and cleaner syntax.
Explore the walrus operator, an assignment expression in Python 3.8 that lets you assign a value inside an expression, reducing repeated calculations or repeated function calls.
Learn to read, write, and append text files in Python using open modes r, w, and a, handle line-by-line reads, and leverage the with context manager for automatic closing.
Explore the OS and shutil modules to list, check, copy, move, and delete files and directories, including handling empty and non-empty cases.
Learn to build Python command line utilities using argparse to accept inputs from the command line for a simple calculator that adds, subtracts, multiplies, and divides two numbers.
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:
Python programming fundamentals, including variables, loops, conditionals, and data types.
How to build Python projects from scratch, including games, automation scripts, and web applications.
Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems.
Debugging and problem-solving techniques to write clean, efficient code.
Practical tips and techniques to prepare for coding interviews and real-world development tasks.
Why Take This Course?
Beginner-Friendly: No prior programming experience is required.
Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.
Real-World Applications: Learn Python in the context of actual use cases, from web scraping to automating tasks.
Career-Focused: Equip yourself with the skills needed to land your first job or advance your career in tech.
Whether you want to automate daily tasks, create web apps, or explore data science, this course is the perfect place to start your Python journey. Join me, and let’s transform you from a Python novice to a confident coder ready for the job market!