Aakadimia Online Tutors and Courses | Master Python Programming

Master Python Programming – From Beginner to Pro

Learn coding, data analysis, web development, and automation with hands-on projects.

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Last updated: Apr 08, 2026

Level Beginner

Language English

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Course Curriculum
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About This Course

Python Programming CourseThe Python Programming Course is designed to introduce learners to one of the most versatile and widely used programming languages in the world. Whether you’re a beginner eager to start coding or a professional looking to sharpen your skills, this course provides a solid foundation in Python and its applications across web development, data science, automation, and more.

What you'll learn

Real-World Applications: Building small projects in automation, data analysis, and web development
Libraries & Frameworks: Introduction to popular Python libraries such as NumPy, Pandas, and Flask
Error Handling: Debugging and exception management
File Handling: Reading, writing, and managing files
Object-Oriented Programming (OOP): Classes, objects, inheritance, and encapsulation
Data Structures: Lists, tuples, dictionaries, and sets
Functions & Modules: Writing reusable code and organizing projects
Core Concepts: Variables, data types, operators, and control structures

Course Curriculum

17 Topics

259 Lessons

2 hrs : 33 mins : 27 sec total length

1. Intro, How to Take the Course, Access Free Python Book & Our First Exercise

6 Lectures
18 mins : 43 sec

1. Welcome, How to Take the Course and How to Download the Free Python Book

1.[BIA] How to Take the Course

7 mins : 35 sec watch

1. Welcome, How to Take the Course
2. [BIA] Introduction to Python

1 min : 13 sec watch

2. [BIA] Introduction to Python (What, Why and How of Level 1)
3. [BIA] How to Use Python Online Using Google Colab for Free

6 mins : 39 sec watch

3. [BIA] How to Use Python Online Using Google Colab for Free
4. [BIA] Exercise 1.1 Our First Python Code “Hello World”

46 sec watch

Our First Python Code “Hello World”
5. [BIA] Answer 1.1 Our first Python Code “Hello World”

1 min : 15 sec watch

Our first Python Code “Hello World”
6. [BIA] Optional Lecture Who Uses Python & What are the Pros & Cons of Python

1 min : 15 sec watch

Pros & Cons of Python

2. [BIA] Level 2 Data Types and Variables

12 Lectures
15 mins : 34 sec

Master Python fundamentals with Level 2: Data Types and Variables. Learn how to work with strings, numbers, lists, and more while understanding variable assignment, scope, and best practices. Build a solid foundation for advanced programming in just one module.

1. [BIA] Intro to Data Types and Variables (What, Why and How of Level 2)

watch

Discover the essentials of Python in Intro to Data Types and Variables (Level 2). Learn what data types are, why they matter, and how to use variables effectively to build a strong programming foundation.
2. [BIA] How to Code Data Types & Variables in Python (String+Integer Variables)

1 min : 16 sec

Learn how to code data types and variables in Python with a focus on string and integer variables. This Level 2 module covers practical examples, variable assignment, and best practices to strengthen your programming foundation.
3. [BIA] Exercise 2.1 Using String and Integer Data Types

45 sec watch

Using String and Integer Data Types
4. [BIA] Answer 2.1 Using String and Integer Data Types

1 min : 26 sec watch

 Using String and Integer Data Types
5. [BIA] Floating and Boolean Data Types

5 mins : 19 sec watch

 Floating and Boolean Data Types
6. [BIA] Exercise 2.2 Using Floating and Boolean Data Types

1 min watch

 Using Floating and Boolean Data Types
7. [BIA] Answer 2.2 Using Floating and Boolean Data Types

1 min : 27 sec watch

Using Floating and Boolean Data Types
8. [BIA] How to Change the Content or Data Type of a Variable (Casting)

1 min : 27 sec

How to Change the Content or Data Type of a Variable (Casting)
9. [BIA] Exercise 2.3 How to Change the Content or Type of a Variable

1 min : 27 sec

This exercise will help you learn how to Change the content or type of variables
10. [BIA] Answer 2.3 How to Change the Content or Type of a Variable

1 min : 27 sec

Answer 2.3 How to Change the Content or Type of a Variable
11. [BIA] Level 2 Final Exercise Currency Converter

Level 2 Final Exercise Currency Converter
12. [BIA] Level 2 Final Exercise Answer Currency Converter

Level 2 Final Exercise Answer Currency Converter

3. [BIA] Level 3 Python Math (Meaning Operators) and Strings

9 Lectures

Learn Level 3 Python concepts including math operators, expressions, and string manipulation. Master arithmetic, comparison, and logical operations to build smarter Python programs.

1. [BIA] Intro to Python Math (Operators) & Strings (What, Why & How of Level 3)

Learn the Intro to Python Math (Operators) & Strings (What, Why & How of Level 3)
2. [BIA] Arithmetic Rules in Python

Master Python's arithmetic rules with clear examples of operators like +, -, *, /, %, //, and . Learn how Python handles calculations, precedence, and numeric data types for accurate programming.
3. [BIA] Exercise 3 1 Arithmetic Rules in Python

Practice Exercise 3.1 on arithmetic rules in Python – learn operator usage, precedence, and calculations with clear examples to strengthen coding skills.
4. [BIA] Answer 3.1 Arithmetic Rules in Python

4. [BIA] Answer 3.1 Arithmetic Rules in Python
5. [BIA] Stringing Together Variables

Learn how to string together variables in Python – combine text, numbers, and data seamlessly using concatenation and formatting techniques.
6. [BIA] Exercise 3.2 Stringing Together Variables

Practice Exercise 3.2 on stringing together variables in Python – learn concatenation, formatting, and combining data for dynamic coding.
7. [BIA] Answer 3.2 Stringing Together Variables

Answer 3.2 explains stringing together variables in Python using concatenation and formatting to create dynamic outputs.
8. [BIA] Level 3 Final Exercise Simple Interest Calculator for a Savings Account

8. [BIA] Level 3 Final Exercise Simple Interest Calculator for a Savings Account
9. [BIA] Level 3 Final Exercise Answer

9. [BIA] Level 3 Final Exercise Answer

4. [BIGA] Level 4 Built in Functions & Creating Basic Functions

21 Lectures
3 mins : 34 sec

Master Level 4 Python skills – explore built‑in functions and learn to create basic custom functions for efficient coding.

1. [BIGA] Intro to Built-InCreating Functions (What, Why & How of Level 4)

1. [BIGA] Intro to Built-InCreating Functions (What, Why & How of Level 4)
2. [BIA] Basic Built in Python Functions that Use Math

2. [BIA] Basic Built in Python Functions that Use Math
3. [BIA] Exercise 4.1 Built in Functions that Use Math

3. [BIA] Exercise 4.1 Built in Functions that Use Math
4. [BIA] Answer 4.1 Built in Functions that Use Math

4. [BIA] Answer 4.1 Built in Functions that Use Math
5. [BIA] Input Built in Python Function

5. [BIA] Input Built in Python Function
6. [BIA] Exercise 4.2 Input Built in Python Function

6. [BIA] Exercise 4.2 Input Built in Python Function
7. [BIA] Answer 4.2 Input Built in Python Function & Stringing Together Objects

7. [BIA] Answer 4.2 Input Built in Python Function & Stringing Together Objects
8. [BIA] Creating Basic Custom Functions Part 1

8. [BIA] Creating Basic Custom Functions Part 1
9. [BIA] Exercise 4.3 Creating Custom Functions Part 1

9. [BIA] Exercise 4.3 Creating Custom Functions Part 1
10. [BIA] Answer 4.3 Creating Custom Functions Part 1

10. [BIA] Answer 4.3 Creating Custom Functions Part 1
11. [IGA] Creating Basic Custom Functions Part 2

11. [IGA] Creating Basic Custom Functions Part 2
12. [IGA] Exercise 4.4 Creating Basic Custom Functions Part 2

12. [IGA] Exercise 4.4 Creating Basic Custom Functions Part 2
13. [IGA] Answer 4.4 Creating Basic Custom Functions Part 2

13. [IGA] Answer 4.4 Creating Basic Custom Functions Part 2
14. [IGA] Creating Advanced Functions (Keyword and Default Values)

14. [IGA] Creating Advanced Functions (Keyword and Default Values)
15. [IGA] Exercise 4.5 Creating Advanced Functions Keyword and Default Values)

15. [IGA] Exercise 4.5 Creating Advanced Functions Keyword and Default Values)
16. [IGA] Answer 4.5 Creating Advanced Functions (Keyword and Default Values)

16. [IGA] Answer 4.5 Creating Advanced Functions (Keyword and Default Values)
17. [IGA] Returning Values from Custom Functions

17. [IGA] Returning Values from Custom Functions
18. [IGA] Exercise 4.6 Returning Values from Custom Functions

18. [IGA] Exercise 4.6 Returning Values from Custom Functions
19. [IGA] Answer 4.6 Returning Values from Custom Functions

19. [IGA] Answer 4.6 Returning Values from Custom Functions
20. [BIGA] Level 4 Final Exercise Simple Calculator with Functions

20. [BIGA] Level 4 Final Exercise Simple Calculator with Functions
21. [BIGA] Level 4 Final Exercise Answer Simple Calculator with Functions

3 mins : 34 sec watch

21. [BIGA] Level 4 Final Exercise Answer Simple Calculator with Functions

5. [BIGA] Level 5 The List Data Type and the Sum Function

6 Lectures
5 mins : 18 sec

5. [BIGA] Level 5 The List Data Type and the Sum Function

1. [BIGA] Intro to List Data Type (What, Why and How of Level 5)

53 sec watch

An  Intro to List Data Type (What, Why and How of Level 5)
2. [BIGA] How Does the List Data Type Work (and Using the SUM Function)

53 sec

Learn How  Does the List Data Type Work (and Using the SUM Function)
3. [BIGA] Exercise 5.1 The List Data Type Work (and Using the SUM Function)

53 sec

Exercise 5.1 The List Data Type Work (and Using the SUM Function)
4. [BIGA] Answer 5.1 The List Data Type Work (and Using the SUM Function)

53 sec

Answer 5.1 The List Data Type Work (and Using the SUM Function)
5. [BIGA] Level 5 Final Exercise Grocery Shopping List

53 sec

 Level 5 Final Exercise Grocery Shopping List
6. [BIGA] Level 5 Final Exercise Answer Grocery Shopping List

53 sec

Level 5 Final Exercise Answer Grocery Shopping List

6. [BIGA] Level 6 Logic and Loops

27 Lectures

Level 6 Logic and Loops

1. [BIGA] Intro to Logic and Loops (What, Why and How of Level 6)

Intro to Logic and Loops (What, Why and How of Level 6)
2. [BIA] The IF, ELSE Statement

The IF, ELSE Statement
3. [BIA] Exercise 6.1 The IF, ELSE Statement

Exercise 6.1 The IF, ELSE Statement
4. [BIA] Answer 6.1 The IF, ELSE Statement

Answer 6.1 The IF, ELSE Statement
5. [BIA] Using A Nested IF Statement

Using A Nested IF Statement
6. [BIA] Exercise 6.2 Using A Nested IF Statement

 Exercise 6.2 Using A Nested IF Statement
7. [BIA] Answer 6.2 Using A Nested IF Statement

Answer 6.2 Using A Nested IF Statement
8. [BIA] Using ELIF in an IF Statement and the OR & AND Logic

Using ELIF in an IF Statement and the OR & AND Logic
9. [BIA] Exercise 6.3 Using ELIF in an IF Statement and the OR & AND Logic

Exercise 6.3 Using ELIF in an IF Statement and the OR & AND Logic
10. [BIA Answer 6 3 Using ELIF in an IF Statement and the OR & AND Logic

Answer 6 3 Using ELIF in an IF Statement and the OR & AND Logic
11. [BIGA] Using the MATCH and CASE Logic

Using the MATCH and CASE Logic
12. [BIGA] Exercise 6.4 Using the MATCH and CASE Logic

Exercise 6 4 Using the MATCH and CASE Logic
13. [BIGA] Answer 6.4 Using the MATCH and CASE Logic

Answer 6.4 Using the MATCH and CASE Logic
14. [BIA] Formatting

Formatting
15. [BIA] Exercise 6.5 Formatting

Exercise 6.5 Formatting
16. [BIA] Answer 6.5 Formatting

Answer 6.5 Formatting
17. [BIA] Slicing

Slicing
18. [BIA] Exercise 6.6 Slicing

18. [BIA] Exercise 6.6 Slicing
19. [BIA] Answer 6.6 Slicing

Answer 6.6 Slicing
20. [BIA] For Loop

For Loop
21. [BIA] Exercise 6.7 For Loop

Exercise 6.7 For Loop
22. [BIA] Answer 6.7 For Loop

Answer 6.7 For Loop
23. [BIA] While Loop

While Loop
24. [BIA] Exercise 6.8 While Loop

Exercise 6.8 While Loop
25. [BIA] Answer 6.8 While Loop

Answer 6.8 While Loop
26. [IGA] Level 6 Final Exercise Time Tracker for Tasks

Level 6 Final Exercise Time Tracker for Tasks
27. [IGA] Level 6 Final Exercise Answer Time Tracker for Tasks

Level 6 Final Exercise Answer Time Tracker for Tasks

7. [BIGA] Level 7 3 More Data Types Tuple, Dictionary and Set

13 Lectures

Level 7 3 More Data Types Tuple, Dictionary and Set

1. [BIGA] Intro to More Data Types (What, Why and How of Level 7)

Intro to More Data Types (What, Why and How of Level 7)
2. [BIGA] Tuples Explained How is it Different from a List

Tuples Explained How is it Different from a List
3. [BIGA] Exercise 7.1 Tuples

Exercise 7.1 Tuples
4 BIGA Answer 7 1 Tuples

BIGA Answer 7 1 Tuples
5. [IGA] Introduction to Dictionaries

Introduction to Dictionaries
6. [IGA] Dictionary MethodsFunctionality

Dictionary MethodsFunctionality
7. [IGA] Exercise 7.2 Dictionaries

Exercise 7.2 Dictionaries
8. [IGA] Answer 7.2 Dictionaries

Answer 7.2 Dictionaries
9. [IGA] Introduction to Sets

Introduction to Sets
10. [IGA] Exercise 7.3 Sets

Exercise 7.3 Sets
11 IGA Answer 7 3 Sets

Answer 7 3 Sets
12. [IGA] Level 7 Final Exercise Restaurant Menu Manager

Level 7 Final Exercise Restaurant Menu Manager
13. [IGA] Level 7 Final Exercise Answer Restaurant Menu Manager

Level 7 Final Exercise Answer Restaurant Menu Manager

8. [BIGA] Level 8 Methods and Advanced Strings

14 Lectures

8. [BIGA] Level 8 Methods and Advanced Strings

1. [BIGA] Intro to Methods and Advanced Strings (What, Why and How of Level 8)

 Intro to Methods and Advanced Strings (What, Why and How of Level 8)
2. [BIA] What is a Method and How do Get the Methods for An Object

What is a Method and How do Get the Methods for An Object
3. [BIA] Exercise 8.1 Methods

Exercise 8.1 Methods
4. [BIA] Answer 8.1 Methods

Answer 8.1 Methods
5. [BIGA] String Methods

String Methods
6. [BIGA] Exercise 8.2 String Methods

Exercise 8.2 String Methods
7. [BIGA] Answer 8.2 String Methods

Answer 8.2 String Methods
8. [IGA] Advanced String Operations

Advanced String Operations
9. [IGA] Exercise 8.3 Advanced String Operations

Exercise 8.3 Advanced String Operations
10. [IGA] Answer 8.3 Advanced String Operations

Answer 8.3 Advanced String Operations
11. [GA] Lambda Functions & Map

Lambda Functions & Map
12. [GA] Recursion

12. [GA] Recursion
13. [IGA] Level 8 Final Exercise Customer Support Chat Log Analysis

Level 8 Final Exercise Customer Support Chat Log Analysis
14. [IGA] Level 8 Final Exercise Answer Customer Support Chat Log Analysis

Level 8 Final Exercise Answer Customer Support Chat Log Analysis

9. [BIGA] Level 9 Object Oriented Programming (OOP) & Classes

17 Lectures

Level 9 Object Oriented Programming (OOP) & Classes

1. [BIGA] Intro to OOP (What, Why and How of Level 9)

Intro to OOP (What, Why and How of Level 9)
2 BIGA Understanding Classes and Instances

Understanding Classes and Instances
3. [BIGA] Exercise 9.1 Creating Your First Class and Instance

Exercise 9.1 Creating Your First Class and Instance
4. [BIGA] Answer 9.1 Creating Your First Class and Instance

Answer 9.1 Creating Your First Class and Instance
5 BIGA Defining Methods in a Class

Defining Methods in a Class
6 IGA Understanding Self in Python

Understanding Self in Python
7. [IGA] Class Attributes Versus Instance Attributes

Class Attributes Versus Instance Attributes
8 IGA Exercise 9 2 Classes, Instances and Attributes

Exercise 9 2 Classes, Instances and Attributes
9. [IGA] Answer 9.2 Classes, Instances and Attributes

Answer 9.2 Classes, Instances and Attributes
10 IGA Inheritance Extending Functionality

Inheritance Extending Functionality
11 IGA Encapsulation Hiding Information

Encapsulation Hiding Information
12 IGA Exercise 9 3 Implementing Encapsulation

Exercise 9 3 Implementing Encapsulation
13. [IGA] Answer 9.3 Implementing Encapsulation

Answer 9.3 Implementing Encapsulation
14. [IGA] Understanding Magic Dunder Methods

Understanding Magic Dunder Methods
15. [GA] Understanding Composition and Aggregation

Understanding Composition and Aggregation
16. [GA] Level 9 Final Exercise Simple Bank Account Manager

Level 9 Final Exercise Simple Bank Account Manager
17. [GA] Level 9 Final Exercise Answer Simple Bank Account Manager

Level 9 Final Exercise Answer Simple Bank Account Manager

10. [IGA] Level 10 Mastering NumPy (Numerical Python)

18 Lectures
52 mins : 10 sec

Level 10 Mastering NumPy (Numerical Python)

1. [IGA] Intro to NumPy (What, Why and How of Level 10)

Intro to NumPy (What, Why and How of Level 10)
2. [IGA] Libraries Explained and Installing NumPy

11 mins : 42 sec

Libraries Explained and Installing NumPy
2.1 Linux NumPy Installation

8 mins : 59 sec

Linux NumPy Installation
2.3 Windows NumPy Installation

8 mins : 5 sec

Windows NumPy Installation
3. [IGA] Arrays Data Type

11 mins : 42 sec

Arrays Data Type
4. [IGA] NumPy Array Creation Methods

11 mins : 42 sec

NumPy Array Creation Methods
5. [IGA] Operations with Arrays

Operations with Arrays
6 IGA Slicing NumPy Arrays

Slicing NumPy Arrays
7. [IGA] ExerciseProject 10.1 Slicing and Indexing with NumPy

ExerciseProject 10.1 Slicing and Indexing with NumPy
8. [IGA] Answer 10.1 Slicing and Indexing with NumPy

Answer 10.1 Slicing and Indexing with NumPy
9. [IGA] Loops Versus Vectorization

Loops Versus Vectorization
10. [IGA] ExerciseProject 10.2 Vectorization

ExerciseProject 10.2 Vectorization
11. [IGA] Answer 10.2 Vectorization

Answer 10.2 Vectorization
12. [IGA] Universal Functions

Universal Functions
13. [IGA] Conditional Filtering

Conditional Filtering
14. [IGA] Reshaping Arrays

Reshaping Arrays
15. [IGA] Handling Missing Values Using NumPy

Handling Missing Values Using NumPy
16. [IGA] File Handling

File Handling

11. [IGA] Level 11 Pandas and Polars

19 Lectures

Level 11 Pandas and Polars

1. [IGA] Intro to Pandas & Polars (What, Why and How of Level 11)

Intro to Pandas & Polars (What, Why and How of Level 11)
2 IGA Installing Pandas and Polars

 Installing Pandas and Polars
2.1 Linux Installation

2.1 Linux Installation
2.3 Windows Installation

2.3 Windows Installation
3 IGA Loading Data Using Pandas and Polars

Loading Data Using Pandas and Polars
4. [IGA] Reading Data in Different Ways

Reading Data in Different Ways
5. [IGA] Exercise 11.1 First PandasPolars Exercise

Exercise 11.1 First PandasPolars Exercise
6. [IGA] Answer 11.1 First PandasPolars Exercise

Answer 11.1 First PandasPolars Exercise
7. [IGA] Understanding Series

Understanding Series
8. [IGA] Dataframe Operations

Dataframe Operations
9. [IGA] Dealing with Missing Data

Dealing with Missing Data
10. [IGA] Map and Transform

Map and Transform
11. [IGA] Merging and Joining

Merging and Joining
12. [IGA] Exercise 11.2 Second PandasPolars Exercise

Exercise 11.2 Second PandasPolars Exercise
13. [IGA] Answer 11.2 Second PandasPolars Exercise

Answer 11.2 Second PandasPolars Exercise
14. [IGA] Strings

Strings
15. [IGA] Sales Data Visualization

Sales Data Visualization
16. [IGA] Exercise 11.3 Third PandasPolars Exercise

Exercise 11.3 Third PandasPolars Exercise
17. [IGA] Answer 11.3 Third PandasPolars Exercise

Answer 11.3 Third PandasPolars Exercise

12. [IGA] Level 12 Data Processing and ETL (Extract, Transform and Load)

8 Lectures

Level 12 Data Processing and ETL (Extract, Transform and Load)

1. [IGA] Intro to Data Processing and ETL (What, Why and How of Level 12)

Intro to Data Processing and ETL (What, Why and How of Level 12)
2. [IGA] Data Cleaning Part 1

Data Cleaning Part 1
3. [IGA] Data Cleaning Part 2

Data Cleaning Part 2
4. [IGA] Label Encoder and Data Transformation Part 1

Label Encoder and Data Transformation Part 1
5. [IGA] Label Encoder and Data Transformation Part 2

Label Encoder and Data Transformation Part 2
6. [IGA] Label Encoder and Data Transformation Part 3

Label Encoder and Data Transformation Part 3
7. [IGA] Handling Imbalanced Data

Handling Imbalanced Data
8. [IGA] Data Partitioning

Data Partitioning

13. [BIGA] Level 13 Writing Clean and Efficient Code

6 Lectures

Level 13 Writing Clean and Efficient Code

1. [BIGA] Intro to Writing CleanEfficient Code (What, Why and How of Level 13)

Intro to Writing CleanEfficient Code (What, Why and How of Level 13)
2. [BIGA] Clean and Modular Code

Clean and Modular Code
3. [BIGA] Python Naming Conventions

Python Naming Conventions
4. [BIGA] Documentation

Documentation
5. [BIGA] Testing Your Code

Testing Your Code
6. [IGA] Working with Teams on GitHub

Working with Teams on GitHub

14. [IGA] Level 14 Using Python in Excel

11 Lectures

Level 14 Using Python in Excel

1. [IGA] Introduction to Using Python in Excel (What, Why and How of Level 14)

Introduction to Using Python in Excel (What, Why and How of Level 14)
2. [IGA] How to Install Python In Excel

How to Install Python In Excel
3. [IGA] How to Use Python In Excel

How to Use Python In Excel
4. [IGA] Exercise 14.1 Using Python in Excel

Exercise 14.1 Using Python in Excel
5. [IGA] Answer 14.1 Using Python in Excel

Answer 14.1 Using Python in Excel
6. [IGA] Using Dataframes with Python in Excel

Using Dataframes with Python in Excel
7. [IGA] Exercise 14.2 Using Python Dataframes in Excel

Exercise 14.2 Using Python Dataframes in Excel
8. [IGA] Answer 14.2 Using Python Dataframes in Excel

Answer 14.2 Using Python Dataframes in Excel
9. [IGA] How to Create a Linear Regression Using Python In Excel

How to Create a Linear Regression Using Python In Excel
10. [IGA] Exercise 14.3 Using Python and Excel to Create a Regression Analysis

Exercise 14.3 Using Python and Excel to Create a Regression Analysis
11. [IGA] Answer 14.3 Using Python and Excel to Create a Regression Analysis

11. [IGA] Answer 14.3 Using Python and Excel to Create a Regression Analysis

15. [GA] Level 15 Mojo

13 Lectures

Level 15 Mojo

1. [GA] Intro to Mojo (What, Why and How of Level 15)

Intro to Mojo (What, Why and How of Level 15)
2. [GA] What is Mojo and Why is it a Gamer Changer for Python Developers

What is Mojo and Why is it a Gamer Changer for Python Developers
3. [GA] Complied Versus Interpreted Programming When it Comes to Mojo

Complied Versus Interpreted Programming When it Comes to Mojo
4. [GA] Coding with Mojo

Coding with Mojo
5. [GA] Variables in Mojo (Mutability and Immutability)

Variables in Mojo (Mutability and Immutability)
6. [GA] Data Types in Mojo

Data Types in Mojo
7. [GA] Else If in Mojo

Else If in Mojo
8. [GA] Loops in Mojo

Loops in Mojo
9. [GA] Functions in Mojo

Functions in Mojo
10. [GA] Struct Versus Class In Mojo

Struct Versus Class In Mojo
11. [GA] Error Handling in Mojo

Error Handling in Mojo
12. [GA] Inout, Borrowed and Owned in Mojo

Inout, Borrowed and Owned in Mojo
13. [GA] Importing NumPy in Mojo

Importing NumPy in Mojo

16. [BIGA] Level 16 All Built-In Python Functions

57 Lectures
57 mins : 13 sec

Level 16 All Built-In Python Functions

1. [BIGA] Intro to All Built-In Python Functions (What, Why and How of Level 16)

35 sec watch

Intro to All Built-In Python Functions (What, Why and How of Level 16)
2. [BA] Absolute Value Built-In Function abs( )

57 sec watch

Absolute Value Built-In Function abs( )
3. [BIA] All Built-In Function all( )

57 sec

All Built-In Function all( )
4. [BIA] Any Built-In Function any( )

57 sec

Any Built-In Function any( )
5. [GA] ASCII Built-In Function ascii ( )

57 sec

ASCII Built-In Function ascii ( )
6. [GA] Bin Built-In Function bin( )

57 sec

Bin Built-In Function bin( )
7. [BIGA] Bool Built-In Function bool( )

57 sec

Bool Built-In Function bool( )
8. [IGA] Breakpoint Built-In Function breakpoint( )

57 sec

Breakpoint Built-In Function breakpoint( )
9. [GA] Bytearray Built-In Function bytearray( )

Bytearray Built-In Function bytearray( )
10. [GA] Bytes Built-In Function bytes( )

Bytes Built-In Function bytes( )
11. [IGA] Callable Built-In Function callable( )

1 min : 2 sec watch

Callable Built-In Function callable( )
12. [IGA] Chr Built-In Function chr ( )

57 sec watch

12. [IGA] Chr Built-In Function chr ( )
13. [IGA] Classmethod Built-In Function classmethod( )

1 min : 26 sec watch

Classmethod Built-In Function classmethod( )
14. [GA] Compile Built-In Function compile( )

2 mins : 16 sec watch

Compile Built-In Function compile( )
15. [GA] Complex Built-In Function complex( )

56 sec watch

Complex Built-In Function complex( )
16. [IGA] Dict Built-In Function dict( )

56 sec watch

Dict Built-In Function dict( )
17. [IGA] Dir Built-In Function dir( )

1 min : 36 sec watch

Dir Built-In Function dir( )
18. [BIGA] Divmod Built-In Function divmod( )

1 min : 36 sec watch

Divmod Built-In Function divmod( )
19. [GA] Enumerate Built-In Function enumerate( )

1 min : 16 sec watch

Enumerate Built-In Function enumerate( )
20. [IGA] Eval Built-In Function eval( )

1 min : 8 sec watch

Eval Built-In Function eval( )
21. [IGA] Exec Built-In Function exec( )

1 min : 32 sec watch

Exec Built-In Function exec( )
22. [BIGA] Filter Built-In Function filter( )

2 mins : 13 sec watch

Filter Built-In Function filter( )
23. [BIGA] Float Built-In Function float( )

42 sec watch

Float Built-In Function float( )
24. [BIGA] Format Built-In Function format( )

2 mins : 9 sec watch

Format Built-In Function format( )
25. [IGA] Frozenset Built-In Function frozenset( )

1 min : 6 sec watch

Frozenset Built-In Function frozenset( )
26. [IGA] Hash Built-In Function hash( )

1 min : 15 sec watch

Hash Built-In Function hash( )
27. [BIGA] Help Built-In Function help( )

29 sec watch

Help Built-In Function help( )
28. [IGA] Hex Built-In Function hex( )

36 sec watch

Hex Built-In Function hex( )
29. [IGA] ID Built-In Function id( )

1 min : 5 sec watch

ID Built-In Function id( )
30. [BIGA] Input Built-In Function input( )

41 sec watch

Input Built-In Function input( )
31. [BIGA] Int Built-In Function int( )

37 sec watch

Int Built-In Function int( )
32. [GA] Isinstance Built-In Function isinstance( )

1 min : 26 sec watch

Isinstance Built-In Function isinstance( )
33. [IGA] Issubclass Built-In Function issubclass( )

1 min : 4 sec watch

Issubclass Built-In Function issubclass( )
34. [IGA] Iter Built-In Function iter( )

1 min : 1 sec watch

Iter Built-In Function iter( )
35. [BIGA] Len Built-In Function len( )

57 sec watch

Len Built-In Function len( )
36. [BIGA] List Built-In Function list( )

54 sec watch

List Built-In Function list( )
37. [GA] Map Built-In Function map( )

1 min : 16 sec watch

Map Built-In Function map( )
38. [BIGA] Max Built-In Function Max( )

32 sec watch

Max Built-In Function Max( )
39. [BIGA] Min Built-In Function Min( )

31 sec watch

Min Built-In Function Min( )
40. [IGA] Next Built-In Function next( )

1 min : 44 sec watch

Next Built-In Function next( )
41. [GA] Oct Built-In Function oct( )

35 sec watch

Oct Built-In Function oct( )
42. [IGA] Open Built-In Function open( )

1 min : 7 sec watch

Open Built-In Function open( )
43. S16L43 [IGA] Ord Built-In Function ord( )

39 sec watch

Ord Built-In Function ord( )
44. [BIGA] Pow Built-In Function pow( )

32 sec watch

Pow Built-In Function pow( )
45. [BIGA] Print Built-In Function print( )

28 sec watch

Print Built-In Function print( )
46. [BIGA] Range Built-In Function range( )

1 min : 45 sec watch

Range Built-In Function range( )
47. [IGA] Repr Built-In Function repr( )

58 sec watch

Repr Built-In Function repr( )
48. [BIGA] Reversed Built-In Function reversed( )

44 sec watch

Reversed Built-In Function reversed( )
49. [BIGA] Round Built-In Function round( )

59 sec watch

Round Built-In Function round( )
50. [IGA] Set Built-In Function set( )

1 min : 10 sec watch

Set Built-In Function set( )
51. [IGA] Slice Built-In Function slice( )

1 min : 7 sec watch

Slice Built-In Function slice( )
52. [BIGA] Sorted Built-In Function sorted( )

33 sec watch

Sorted Built-In Function sorted( )
53. [BIGA] Str Built-In Function str( )

31 sec watch

Str Built-In Function str( )
54. [BIGA] Sum Built-In Function sum( )

42 sec watch

Sum Built-In Function sum( )
55. [BIGA] Tuple Built-In Function tuple( )

1 min : 1 sec watch

55. [BIGA] Tuple Built-In Function tuple( )
56. [BIGA] Type Built-In Function type( )

1 min : 2 sec watch

Type Built-In Function type( )
57. [IGA] Zip Built-In Function zip( )

1 min : 7 sec watch

Zip Built-In Function zip( )

17. [BIGA] Level 17 Conclusion, Next Steps and Additional Python Topics

1 Lecture
55 sec

Level 17 Conclusion, Next Steps and Additional Python Topics

1. [BIGA] CONGRATULATIONS & Next Steps!

55 sec watch

CONGRATULATIONS & Next Steps!

Frequently Asked Questions

1. Who can enroll in the Python programming course?

Anyone interested in learning Python can enroll. The course is designed for beginners with no prior coding experience, as well as intermediate learners who want to strengthen their skills.

2. Do I need prior programming knowledge?

No. The course starts with the basics of Python syntax and gradually builds up to advanced concepts. Beginners are welcome.

3. What topics are covered in the course?

The curriculum includes:

Python basics (variables, data types, operators)

Control structures (loops, conditionals)

Functions and modules

Object‑oriented programming

File handling

Error handling

Working with libraries (NumPy, Pandas, Matplotlib)

Introduction to web development and data analysis with Python

4. How are the classes delivered?

Courses are delivered online through video lectures, interactive coding exercises, and downloadable resources. Learners can access content anytime, making it flexible and self‑paced.

5. Will I get a certificate after completion?

Yes. Upon successful completion, learners receive a verified certificate from Akadimia.com, which can be shared with employers or added to LinkedIn profiles.

6. Are there job opportunities after completing the course?

Yes. Python is one of the most in‑demand programming languages. Completing the course prepares learners for roles in software development, data analysis, web development, and automation. Akadimia also partners with employers to connect graduates to job opportunities.

7. Can I interact with tutors?

Yes. Registered tutors provide support through Q&A sessions, discussion forums, and mentorship opportunities.

8. Is the course affordable?

Aakadimia.com offers competitive pricing compared to other platforms, with flexible payment options to make learning accessible to everyone.

Prerequisites

Basic Computer Skills

Ability to operate a computer, install software, and navigate the internet. Familiarity with typing, file management, and using applications.

Access to a Computer & Internet

A laptop or desktop with stable internet connection is required. Recommended: Windows, macOS, or Linux operating system.

No Prior Programming Required The course is beginner‑friendly. Learners do not need

previous coding experience. However, basic logical thinking and problem‑solving skills will be

Master Python Programming – From Beginner to Pro

Fr 10,500.00

~~15,000.00~~

30% OFF

Course Includes:

17 Topics
259 Lessons
64 Videos of 1 hr : 25 mins : 33 sec

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