Complete Python Course 2026: Beginner to Advanced

In this video, we’ll cover:

• Installing Python – Download and set up Python from python.org.

• Setting up PyCharm – Install and configure PyCharm for efficient coding.

• Programming Basics – Introduction to fundamental concepts like data types, variables, and simple Python scripts.

By the end, you’ll have a working Python environment and understand core programming principles. Let’s get started!

In this video, we’ll dive into the core building blocks of Python programming:

• Data Types – Understand integers, floats, strings, lists, and more.

• Variables – Learn how to store and manage data with variables.

• Operators – Explore arithmetic, comparison, and logical operators to perform operations on data.

By the end, you'll be able to write simple Python programs and manipulate data confidently. Let’s jump in!

In this video, we’ll cover two essential concepts in Python: Type Casting and the Input Function:

• Type Casting – Learn how to convert data types, such as integers to strings or floats to integers, using functions like int(), float(), and str().

• Input Function – Discover how to take user input dynamically and process it for your programs.

By the end, you’ll know how to handle user input and convert data types effectively for real-world applications. Let’s dive in!

In this video, we’ll explore the fundamentals of Strings in Python:

• What Are Strings? – Learn about strings as sequences of characters in Python.

• String Operations – Discover how to manipulate strings using concatenation, slicing, and indexing.

• Built-in Methods – Explore powerful string methods like .lower(), .upper(), .split(), and .replace().

By the end, you’ll understand how to work with strings effectively and use them in your Python programs. Let’s dive in!

In this video, we’ll dive deeper into Strings in Python - Part 2:

• String Formatting – Learn how to format strings using f-strings, .format(), and old-style formatting.

• Escape Sequences – Understand how to include special characters like newline (\n) and tab (\t) in strings.

• Advanced Methods – Explore methods like .find(), .startswith(), .endswith(), and .strip().

By the end, you’ll have a solid understanding of advanced string handling techniques in Python. Let’s get started!

In this video, we’ll continue exploring Strings in Python - Part 3:

• Joining and Splitting Strings – Learn how to combine multiple strings and break them into parts using .join() and .split().

• String Iteration – Understand how to loop through strings character by character.

• Advanced String Features – Dive into multi-line strings and raw strings for special use cases.

By the end, you’ll have mastered more advanced techniques for working with strings in Python. Let’s get started!

In this video, we’ll explore String Methods in Python, powerful tools to manipulate and transform strings:

• Common Methods – Learn how to use .lower(), .upper(), .title(), and .capitalize() to format strings.

• Searching and Replacing – Discover .find(), .replace(), .startswith(), and .endswith() for efficient string searches and modifications.

• Cleaning Strings – Explore methods like .strip(), .lstrip(), and .rstrip() to remove unwanted characters.

By the end, you’ll be equipped to handle strings efficiently using Python's built-in methods. Let’s dive in!

In this video, we’ll explore how to control the flow of your program using conditional statements:

• if, elif, else – Learn how to make decisions in your code.

• Nested Conditions – Understand how to write conditions within conditions.

• Boolean Logic – Combine multiple conditions using and, or, and not.

By the end, you’ll be able to write programs that respond dynamically to different inputs. Let’s get started!

In this video, we’ll focus on identifying and fixing errors in your code:

• Types of Errors – Learn about syntax errors, runtime errors, and logical errors.

• Debugging Tools – Explore how to use print statements, breakpoints, and PyCharm’s debugger.

• Troubleshooting Tips – Develop strategies to track down and resolve bugs efficiently.

By the end, you'll have the skills to debug your code and keep your projects running smoothly. Let’s dive in!

In this video, we’ll explore the exciting Match Case feature in Python programming:

• What is Match Case? – Understand how this feature simplifies conditional statements with pattern matching.

• Syntax and Usage – Learn how to write match case statements effectively in Python.

• Real-World Applications – See how match case can be applied to handle multiple conditions elegantly.

By the end, you’ll be equipped to use match case to make your Python code cleaner and more efficient. Let’s get started!

In this video, we’ll explore Lists in Python, one of the most versatile data structures:

• What Are Lists? – Understand lists as ordered, mutable collections of elements.

• List Operations – Learn how to add, remove, and access elements using indexing and slicing.

• Common Methods – Discover useful list methods like .append(), .remove(), .sort(), and .reverse().

By the end, you’ll know how to create, manipulate, and work effectively with lists in Python. Let’s get started!

In this video, we’ll dive into List Slicing and Indexing in Python, essential techniques for working with lists:

• Indexing – Learn how to access individual elements in a list using positive and negative indices.

• Slicing – Discover how to extract sublists using slicing syntax with start, stop, and step parameters.

• Practical Applications – Explore real-world examples of indexing and slicing for data manipulation.

By the end, you’ll have a solid grasp of how to access and extract specific elements or portions of a list. Let’s dive in!

In this video, we’ll cover essential operations for working with lists in Python:

• Loops with Lists – Learn how to iterate through lists using for and while loops.

• Adding Items – Explore methods like .append(), .extend(), and .insert() to add elements to a list.

• Modifying Lists – Understand how to update specific elements or replace multiple items.

• Removing Items – Discover how to delete elements using .remove(), .pop(), and the del statement.

By the end, you’ll know how to effectively manipulate lists in Python for various tasks. Let’s get started!

In this video, we’ll explore Tuples in Python, an immutable and efficient data structure:

• What Are Tuples? – Understand tuples as ordered collections of elements that cannot be modified.

• Tuple Operations – Learn how to access elements using indexing and perform slicing.

• Advantages of Tuples – Discover why tuples are preferred for fixed data and performance optimization.

By the end, you’ll know how to create, use, and leverage tuples in your Python programs. Let’s get started!

In this video, we’ll explore Sets in Python, a unique data structure for handling unordered collections:

• What Are Sets? – Learn how sets store unique, unordered elements with no duplicates.

• Set Operations – Discover union, intersection, difference, and symmetric difference for combining and comparing sets.

• Common Methods – Explore methods like .add(), .remove(), and .discard() to modify sets.

By the end, you’ll understand how to use sets for efficient data management and comparisons in Python. Let’s get started!

In this video, we’ll explore Dictionaries in Python, a powerful data structure for working with key-value pairs:

• What Are Dictionaries? – Understand how dictionaries store data as key-value pairs for quick lookups.

• Accessing Data – Learn how to retrieve, add, and update values using keys.

• Common Methods – Discover useful methods like .keys(), .values(), .items(), and .get().

By the end, you’ll know how to use dictionaries effectively to organize and manipulate data in Python. Let’s dive in!

In this video, we’ll explore the While Loop in Python with practical examples:

• Palindrome Check – Learn how to use a while loop to determine if a given string or number is a palindrome.

• Sum of Numbers – Discover how to calculate the sum of numbers from 1 to a given number using a while loop.

• Factorial Calculation – Write a program to compute the factorial of a given number step by step.

• Multiplication Table – Use a while loop to generate and display the multiplication table for any number.

By the end, you’ll understand how to apply while loops to solve real-world problems efficiently. Let’s dive in!

In this video, we’ll explore the While Loop in Python with the following examples:

• Palindrome Check – Use a while loop to verify whether a number or string is a palindrome.

• Sum of Numbers – Learn to calculate the sum of numbers from 1 to a given number using a while loop.

• Factorial Calculation – Write a program to find the factorial of a given number using iterative logic.

• Multiplication Table – Generate the multiplication table of a number using a while loop.

By the end, you’ll have a solid understanding of using while loops to solve various programming challenges. Let’s get started!

In this video, we’ll cover Type Casting and Type Conversion in Python, along with the Input Function and Range Function for loops:

• Type Casting and Conversion – Learn how to convert data types using int(), float(), str(), and more to handle different types of data effectively.

• Input Function – Understand how to take user input and convert it to the required data type.

• Range Function for Loops – Explore how the range() function is used in loops to iterate over a sequence of numbers efficiently.

By the end, you’ll know how to work with data types, user input, and loops in Python effectively. Let’s dive in!

In this video, we’ll explore the For Loop with the Range Function in Python:

• Understanding the Range Function – Learn how the range() function generates a sequence of numbers.

• Using Range in For Loops – Discover how to iterate over numbers using range(start, stop, step) parameters.

• Practical Examples – Implement the range function to create number sequences, sum values, and generate patterns.

By the end, you’ll understand how to use the range() function with for loops to simplify repetitive tasks in Python. Let’s get started!