Micro Learning | Python Basic course with Practice (30 days)

Focused View

CloudMatrix Learning

4:48:15

43 View

1. Introduction

1. Introduction.mp4

02:24

2. Getting Started

1. Introduction Getting Started.mp4

01:21

3. Day 1 Introduction to Python

1. Brief Description.mp4

03:17

2. What is Python.mp4

02:54

3. Installing Python on Windows.mp4

01:53

4. Installing Python on Linux.mp4

03:05

5. First Python Program.mp4

02:58

6. Article Writing and Running the First Python Program.html

7. DEMO Practical Hello World!.mp4

07:04

8. Quiz Day 1 Introduction to Python.html

9. Practical Exercises Day 1.html

10. Print Your Name Write a program that prints your name to the console..html

11. Print a Short Message Write a program that prints a short welcome message to the console..html

12. Print Your Favorite Quote Write a program that prints your favorite quote to the console..html

13. Summary Day 1.html

14. Download Day 1.html

4. Day 2 Variables and Data Types

1. Learn Variables and Data Types.mp4

03:07

2. Learn Variables (Examples).mp4

01:14

3. Learn Data Types (Examples).mp4

01:15

4. Learn Type Conversion (Examples).mp4

01:36

5. DEMO Day 2 (Practical Examples).mp4

01:01

6. Practical Exercises Day 2.html

7. Define and Print Variables.html

8. Type Conversion Practice.html

9. Arithmetic with Different Types.html

10. Quiz Day 2 Variables and Data Types.html

11. Summary Day 2.html

12. Download Day 2.html

5. Day 3 Basic Arithmetic Operations

1. Learn Basic Arithmetic Operators.mp4

02:27

2. Learn Arithmetic Opeprators (Examples).mp4

01:05

3. DEMO Day 3 (Practical Examples).mp4

01:16

4. Practical Exercises Day 3.html

5. Perform Basic Arithmetic Operations.html

6. Calculate the Area of a Circle.html

7. Convert Fahrenheit to Celsius.html

8. Day 3 Basic Arithmetic Operations.html

9. Summary Day 3.html

10. Download Day 3.html

6. Day 4 Strings

1. Strings Brief Description.html

2. Learn Strings in Python.mp4

02:16

3. Learn Creating Strings (Example).mp4

00:52

4. Learn String Methods (Example).mp4

01:39

5. Learn String Concatenation (Example).mp4

01:50

6. Learn String Formatting (Example).mp4

01:11

7. DEMO Day 4 (Practical Example).mp4

01:22

8. Practical Exercises Day 4.html

9. Basic String Operations.html

10. String Concatenation and Formatting.html

11. String Slicing.html

12. Quiz Day 4 Strings.html

13. Summary Day 4 (Strings).html

14. Download Day 4.html

7. Day 5 Lists

1. Lists Brief Description.html

2. Learn Lists in Python.mp4

01:51

3. Learn Creating Lists (Example).mp4

01:02

4. Learn Accessing List Elements (Example).mp4

01:11

5. Learn Modifying List Elements (Example).mp4

01:03

6. Learn Adding Elements to a List (Example).mp4

01:17

7. Learn Removing Elements from a List (Example).mp4

01:17

8. Learn List Slicing (Example).mp4

01:27

9. DEMO Day 5 (Practical Example).mp4

01:26

10. Practical Exercises Day 5.html

11. Access and Slice a List.html

12. Create and Modify a List.html

13. Extend and Clear a List.html

14. Quiz Day 5 Lists.html

15. Summary Day 5 (Lists).html

16. Download Day 5.html

8. Day 6 Tuples

1. Tuples Brief Description.html

2. Learn Tuples in Python.mp4

01:52

3. Learn Creating Tuples (Example).mp4

01:33

4. Learn Accessing Tuple Elements (Example).mp4

01:08

5. Learn Immutability of Tuples (Example).mp4

01:37

6. Learn Common Tuple Operations (Example).mp4

01:25

7. Learn Tuple Packing and Unpacking (Example).mp4

01:20

8. DEMO Day 6 (Practical Example).mp4

01:37

9. Practical Exercises Day 6 (Tuples).html

10. Create and Access a Tuple.html

11. Concatenate and Repeat Tuples.html

12. Tuple Unpacking.html

13. Quiz Day 6 Tuples.html

14. Summary Day 6 (Tuples).html

15. Download Day 6.html

9. Day 7 Dictionaries

1. Dictionaries Brief Description.html

2. Learn Dictionaries in Python.mp4

02:20

3. Learn Creating Dictionaries (Example).mp4

01:13

4. Learn Accessing Dictionary Elements (Example).mp4

01:25

5. Learn Modifying Dictionary Elements (Example).mp4

01:29

6. Learn Removing Dictionary Elements (Example).mp4

01:27

7. Learn Common Dictionary Operations (Example).mp4

01:44

8. DEMO Day 7 (Practical Example).mp4

01:30

9. Practical Exercises Day 7 (Dictionaries).html

10. Create and Access a Dictionary.html

11. Modify and Add Elements.html

12. Remove Elements and Update Dictionary.html

13. Quiz Day 7 (Dictionaries).html

14. Summary Day 7 (Dictionaries).html

15. Download Day 7.html

10. Control Flow

1. Introduction Control Flow.mp4

01:34

11. Day 8 Conditional Statements

1. Conditional Statements Brief Description.html

2. Learn Conditional Statements in Python.mp4

02:16

3. Learn If Statements (Example).mp4

01:15

4. Learn Elif Statements (Example).mp4

01:43

5. Learn Else Statements (Example).mp4

01:25

6. Learn Nested Conditionals (Example).mp4

01:29

7. DEMO Day 8 (Conditional Statements) - (Practical Example).mp4

01:19

8. Practical Exercises Day 8 (Conditional Statements).html

9. Basic If Statement.html

10. Grade Checker.html

11. Nested If Statements.html

12. Day 8 (Conditional Statements).html

13. Summary Day 8 (Conditional Statements).html

14. Download Day 8.html

12. Day 9 For Loops

1. For Loops Brief Description.html

2. Learn For Loops in Python.mp4

01:32

3. Learn For Loops with Lists (Example).mp4

01:25

4. Learn For Loops with Strings (Example).mp4

01:33

5. Learn For Loops with Ranges (Example).mp4

01:53

6. Learn Nested For Loops (Example).mp4

01:12

7. Practical Exercises Day 9 (For Loops).html

8. DEMO Day 9 (For Loops) - (Practical Example).mp4

01:22

9. Iterate Over a List of Names.html

10. Print Even Numbers in a Range.html

11. Nested For Loop to Print a Pattern.html

12. Day 9 (For Loops).html

13. Summary Day 9 (For Loops).html

14. Download Day 9.html

13. Day 10 While Loops

1. While Loops Brief Description.html

2. Learn While Loops in Python.mp4

01:30

3. Learn While Loop Syntax (Example).mp4

01:39

4. Learn Using Break Statement (Example).mp4

01:31

5. Learn Using Continue Statement (Example).mp4

01:29

6. Learn Writing Loops with Conditions (Example).mp4

01:30

7. Practical Exercises Day 10 (While Loops).html

8. DEMO Day 10 (While Loops).mp4

01:21

9. Day 10 (While Loops).html

10. Count Down from a Number.html

11. Sum of Numbers.html

12. Find the First Multiple of 7.html

13. Print Odd Numbers.html

14. Summary Day 10 (While Loops).html

15. Download Day 10.html

14. Day 11 List Comprehensions

1. List Comprehensions Brief Description.html

2. Learn List Comprehensions in Python.mp4

01:34

3. Learn List Comprehensions - Basic Syntax (Example).mp4

00:24

4. Learn List Comprehensions with Conditions (Example).mp4

01:48

5. Learn Nested List Comprehensions (Example).mp4

01:23

6. Practical Exercises Day 11 (List Comprehensions).html

7. Create a List of Cubes.html

8. Filter Odd Numbers.html

9. Find Common Elements.html

10. Generate a Multiplication Table.html

11. Day 11 (List Comprehensions).html

12. Summary Day 11 (List Comprehensions).html

13. Download Day 11.html

15. Day 12 Nested Loops

1. Nested Loops Brief Description.html

2. Learn Nested For Loops (Example).mp4

01:19

3. Learn Nested While Loops (Example).mp4

01:47

4. Practical Exercises Day 12 (Nested Loops).html

5. Practical Exercises Day 12 (Nested Loops).html

6. Sum of Each Row and Column.html

7. Identity Matrix.html

8. Pattern Printing with Numbers.html

9. Find Prime Numbers in a Range.html

10. Day 12 (Nested Loops).html

11. Summary Day 12 (Nested Loops).html

12. Download Day 12 (Nested Loops).html

16. Day 13 Functions

1. Functions Brief Descriptions.html

2. Learn Functions in Python.mp4

01:42

3. Learn Defining Functions (Example).mp4

01:49

4. Learn Calling Functions (Example).mp4

01:35

5. Learn Function Arguments (Example).mp4

01:20

6. Learn Default Arguments (Example).mp4

01:16

7. Learn Return Values (Example).mp4

01:06

8. Learn Return Values in Python.mp4

01:20

9. Learn Lambda Functions (Example).mp4

01:27

10. Learn Lambda Functions in Python.mp4

01:18

11. Practical Exercises Day 13 (Functions).html

12. Function to Calculate Factorial.html

13. Function to Check Even or Odd.html

14. Function to Find the Maximum of Three Numbers.html

15. Lambda Function to Calculate the Product.html

16. Function with Default Argument.html

17. Day 13 (Functions).html

18. Summary Day 13 (Functions).html

19. Download Day 13 (Functions).html

17. Day 14 Practice Day

1. Practice Day Brief Description.html

2. Day 14 Comprehensive Practice Exercises.html

3. Simple Calculator.html

4. Student Grades.html

5. Pattern Printing.html

6. Reverse a String.html

7. Find Prime Numbers.html

8. Matrix Multiplication.html

9. List Comprehensions.html

10. Dictionary Comprehension.html

11. Nested Loops.html

12. String Manipulation.html

13. Day 14 Practice Day.html

14. Summary Day 14 (Practice Day).html

15. Download Day 14 (Practice Day).html

18. Advanced Data Structures and Functions

1. Introduction Advanced Data Structures and Functions.mp4

04:31

19. Day 15 Sets

1. Sets Brief Descriptions.html

2. Learn Sets in Python.mp4

01:27

3. Learn Creating Sets (Example).mp4

01:11

4. Learn Properties of Sets (Example).mp4

01:41

5. Learn Adding and Remove Elements (Example).mp4

01:20

6. Learn Set Operation in Python.mp4

01:37

7. Learn Union (Example).mp4

01:15

8. Learn Intersection (Example).mp4

01:09

9. Learn Difference (Example).mp4

00:57

10. Learn Symmetric Difference (Example).mp4

01:21

11. Practical Examples Day 15 (Sets).html

12. Unique Elements.html

13. Check Subset.html

14. Common Elements.html

15. Symmetric Difference.html

16. Summary Day 15 (Sets).html

17. Day 15 (Sets).html

18. Download Day 15 (Sets).html

20. Day 16 Dictionary Comprehensions

1. Dictionary Comprehensions Brief Description.html

2. Learn Dictionary Comprehension in Python.mp4

00:55

3. Learn Dictionary Comprehension Basic Syntax (Example).mp4

01:41

4. Learn Dictionary Comprehensions with Conditions (Example).mp4

01:51

5. Practical Examples Day 16 (Dictionary Comprehensions).html

6. Day 16 (Dictionary Comprehensions).html

7. Square Numbers Dictionary.html

8. Length of Strings.html

9. Filter and Transform.html

10. Conditional Values.html

11. Summary Day 16 (Dictionary Comprehensions).html

12. Download Day 16 (Dictionary Comprehensions).html

21. Day 17 File Handling

1. File Handling Brief Description.html

2. Learn File Handling in Python.mp4

01:52

3. Learn Opening and Closing Files (Example).mp4

01:19

4. Learn Using Context Managers (Example).mp4

01:27

5. Learn Reading Files (Example).mp4

01:35

6. Learn Writing to Files (Example).mp4

01:51

7. Practical Examples Day 17 (File Handling).html

8. Practical Exercises Day 17 (File Handling).html

9. Day 17 File Handling.html

10. Summary Day 17 (File Handling).html

11. Download Day 17 ( File Handling ).html

22. Day 18 Exception Handling

1. Error Handling Brief Description.html

2. Learn Exception Handling in Python.mp4

01:44

3. Practical Examples Day 18 (Exception Handling).html

4. Learn Try and Except Blocks (Example).mp4

01:40

5. Learn Catching Specific Exceptions (Example).mp4

01:43

6. Learn Else Block (Example).mp4

01:18

7. Learn Finally Block (Example).mp4

01:42

8. Learn Raising Exceptions (Example).mp4

01:26

9. Simple Calculator with Error Handling.html

10. File Reading with Error Handling.html

11. Check Even Number with Error Handling.html

12. Custom Exception Handling.html

13. Day 18 (Exception Handling).html

14. Summary Day 18 (Exception Handling).html

15. Download Day 18 (Exception Handling).html

23. Day 19 Modules and Packages

1. Modules and Packages Brief Description.html

2. Learn Importing Modules in Python.mp4

02:01

3. Learn Modules (Example).mp4

01:51

4. Learn Using the Module (Example).mp4

01:29

5. Learn Importing Specific Functions or Variables (Example).mp4

01:18

6. Learn Importing with Aliases (Example).mp4

01:26

7. Learn Packages (Example).mp4

01:16

8. Learn Using the Package (Example).mp4

01:21

9. Practical Examples Day 19 (Modules and Packages).html

10. Practical Exercises Day 19 (Modules and Packages).html

11. Create a Module.html

12. Create a Package.html

13. Day 19 (Modules and Packages).html

14. Summary Day 19 (Modules and Packages).html

15. Download Day 19 (Modules and Packages).html

24. Day 20 Working with CSV Files

1. Working with CSV Files Brief Description.html

2. Learn Working with CSV Files in Python.mp4

01:34

3. Learn Reading CSV Files (Example).mp4

01:18

4. Learn Using the pandas Library (Example).mp4

01:21

5. Learn Writing CSV Files (Example).mp4

01:43

6. Learn Using the pandas Library (Example).mp4

01:14

7. Learn Manipulating CSV Data (Example).mp4

01:19

8. Practical Examples Day 20 (Working with CSV Files).html

9. Day 20 Working with CSV Files.html

10. Summary Day 20 Working with CSV Files.html

11. Download Day 20 (Working with CSV Files).html

25. Day 21 Practice Day

1. Exercise 1 Hello, World!.html

2. Exercise 2 Variables and Types.html

3. Exercise 3 List Operations.html

4. Exercise 4 String Manipulation.html

5. Exercise 5 Basic Arithmetic.html

6. Exercise 6 Conditionals.html

7. Exercise 7 For Loops.html

8. Exercise 8 While Loops.html

9. Exercise 9 Functions.html

10. Exercise 10 Dictionaries.html

11. Exercise 11 Tuples.html

12. Exercise 12 Sets.html

13. Exercise 13 List Comprehension.html

14. Exercise 14 File Handling.html

15. Exercise 15 Exception Handling.html

16. Download Day 21 Practice Day.html

26. Advanced Topics and Applications

1. Introduction Advanced Topics and Applications.mp4

01:46

27. Day 22 JSON Handling

1. JSON Handling Brief Description.html

2. Learn JSON Handling in Python.mp4

01:59

3. Learn Reading JSON Data (Example).mp4

01:28

4. Learn Writing JSON Data (Example).mp4

01:38

5. Learn Manipulating JSON Data (Example).mp4

01:15

6. Practical Examples Day 22 (JSON Handling).html

7. Practical Exercises Day 22 (JSON Handling).html

8. Day 22 JSON Handling.html

9. Summary Day 22 JSON Handling.html

10. Download Day 22 JSON Handling.html

28. Day 23 Regular Expressions

1. Regular Expression Brief Description.html

2. Learn Regular Expression (regex).mp4

00:51

3. Learn Basic Functions in the re Module in Python.mp4

01:54

4. Learn Importing the re Module (Example).mp4

01:29

5. Learn re.search() (Example).mp4

01:33

6. Learn re.match() (Example).mp4

01:28

7. Learn re.findall() (Example).mp4

01:09

8. Learn re.finditer() (Example).mp4

01:44

9. Learn re.sub() (Example).mp4

01:21

10. Learn Special Characters in Regular Expressions.mp4

01:26

11. Practical Examples Day 23 Regular Expressions.html

12. Find All Words in a String.html

13. Validate a Phone Number.html

14. Extract Domain Names from URLs.html

15. Replace Dates in a String.html

16. Day 23 Regular Expressions.html

17. Summary Day 23 (Regular Expressions).html

18. Download Day 23 (Regular Expressions).html

29. Day 24 Date and Time

1. Data and Time Brief Description.html

2. Learn Date and Time.mp4

01:15

3. Learn Working with Date and Time in Python.mp4

01:16

4. Learn The datetime Module (Example).mp4

01:32

5. Learn Creating Date and Time Objects (Example).mp4

01:33

6. Learn Formatting Dates and Times in Python.mp4

02:34

7. Learn Using strftime (Example).mp4

01:47

8. Learn Common Format Codes (Example).mp4

01:35

9. Learn Parsing Dates and Times in Python.mp4

01:50

10. Learn Using strptime (Example).mp4

01:49

11. Learn Performing Date and Time Arithmetic in Python.mp4

01:58

12. Learn Adding and Subtracting Dates and Times (Example).mp4

01:34

13. Learn Calculating the Difference Between Dates (Example).mp4

01:35

14. Practical Examples Day 24 Date and Time.html

15. Get Current Date and Time.html

16. Format a Given Date.html

17. Parse a Date String.html

18. Date Arithmetic.html

19. Day 24 Date and Time.html

20. Summary Day 24 Date and Time.html

21. Download Day 24 Date and Time.html

30. Day 25 Lambda Functions and Functional Programming

1. Functional Programming with Python Brief Description.html

2. Learn Lambda Functions in Python.mp4

01:18

3. Learn What is a Lambda Function (Example).mp4

01:29

4. Learn Using Lambda Functions in Python.mp4

01:16

5. Learn With map (Example).mp4

01:28

6. Learn With filter (Example).mp4

01:36

7. Learn With reduce (Example).mp4

01:37

8. Learn Functional Programming in Python.mp4

01:35

9. Learn Map Function (Example).mp4

01:21

10. Learn Filter Function (Example).mp4

01:40

11. Learn Reduce Function (Example).mp4

01:34

12. Practical Examples Day 25 (Lambda Functions and Functional Programming).html

13. Basic Lambda Function.html

14. Filtering with Lambda.html

15. Reducing with Lambda.html

16. Day 25 (Lambda Functions and Functional Programming).html

17. Summary Day 25 (Lambda Functions and Functional Programming).html

18. Download Day 25 (Lambda Functions and Functional Programming).html

31. Day 26 Creating and Using Generators

1. Creating and Using Generators Brief Description.html

2. Learn Creating and Using Generators in Python.mp4

01:19

3. Learn Understanding Generators (Example).mp4

01:58

4. Learn What is a Generator.mp4

01:23

5. Learn Creating Generators (Example).mp4

01:21

6. Learn Generator Expressions (Example).mp4

01:34

7. Learn Advantages of Generators.mp4

03:02

8. Learn Using Generators with Built-in Functions.mp4

02:20

9. Learn sum Function (Example).mp4

01:23

10. Learn sorted Function (Example).mp4

01:20

11. Learn itertools Module (Example).mp4

01:35

12. Practical Examples Day 26 Creating and Using Generators.html

13. Create a Simple Generator.html

14. Generator Expression.html

15. Infinite Sequence Generator.html

16. Generator for Large File Processing.html

17. Day 26 Creating and Using Generators.html

18. Summary Day 26 Creating and Using Generators.html

19. Donwload Day 26 Creating and Using Generators.html

32. Day 27 Decorators

1. Decorators Brief Description.html

2. Learn Decorators in Python.mp4

02:10

3. Learn Understanding Decorators (Example).mp4

02:09

4. Learn What is a Decorators.mp4

01:16

5. Learn Creating a Simple Decorator (Example).mp4

00:46

6. Learn Define the Decorator Function (Example).mp4

01:31

7. Learn Use the Decorator (Example).mp4

01:29

8. Learn Applying Multiple Decorators (Example).mp4

01:33

9. Learn Decorators with Arguments (Example).mp4

02:12

10. Learn Using functools.wraps (Example).mp4

01:28

11. Practical Examples Day 27 (Decorators).html

12. Create a Simple Decorator.html

13. Create a Decorator with Arguments.html

14. Preserve Function Metadata.html

15. Day 27 Decorators.html

16. Summary Day 27 Decorators.html

17. Download Day 27 Decorators.html

33. Day 28 Object-Oriented Programming ( PART I. )

1. Object-Oriented Programming (OOP) - Part 1 Brief Description.html

2. Learn Object - Oriented Programming in Python.mp4

01:23

3. Learn Classes and Objects (Example).mp4

01:06

4. Learn The init Method (Example).mp4

5. Learn Attributes (Example).mp4

01:18

6. Learn Methods (Example).mp4

01:25

7. Day 28 Object-Oriented Programming ( PART I. ).html

8. Define a Class and Create an Object.html

9. Add a Method to the Class.html

10. Class with Class and Instance Attributes.html

11. Modifying Attributes.html

12. Practical Examples Day 28 (Object - Oriented Programming) - (PART I.).html

13. Summary Day 28 (OOP-P1).html

14. Download Day 28 OOP - PART I..html

34. Day 28 Object-Oriented Programming ( PART II. )

1. Object-Oriented Programming (OOP) - Part 2 Brief Description.html

2. Learn Object-Oriented Programming (OOP) - Part 2 - in Python.mp4

01:54

3. Learn Inheritance (Example).mp4

01:33

4. Learn Method Overriding (Example).mp4

01:19

5. Learn Using super() (Example).mp4

01:16

6. Learn Multiple Inheritance (Example).mp4

01:48

7. Practical Examples Day 28 (Object - Oriented Programming) - (PART II.).html

8. Inheritance and Method Overriding.html

9. Using super().html

10. Multiple Inheritance.html

11. Method Overriding and super().html

12. Day 28 Object - Oriented Programming (OOP) - Part 2..html

13. Summary Day 28 OOP - PART II..html

14. Download Day 28 OOP - PART II..html

35. Day 29 Practice Day

1. Exercise 16 Classes and Objects.html

2. Exercise 17 Inheritance.html

3. Exercise 18 Modules.html

4. Exercise 19 Lambda Functions.html

5. Exercise 20 Map and Filter.html

6. Exercise 21 List Slicing.html

7. Exercise 22 String Formatting.html

8. Exercise 23 Nested Loops.html

9. Exercise 24 Random Numbers.html

10. Exercise 25 Recursive Functions.html

11. Download Day 29 Practice Day.html

36. Day 30 Final Project

1. Personal Finance Tracker.html

2. Project Requirements.html

3. Project Structure.html

4. Step-by-Step Implementation Step 1 Set Up the Project Directory.html

5. Step-by-Step Implementation Step 2 Create the CSV File.html

6. Step-by-Step Implementation Step 3 Implement the Data Handling Functions.html

7. Step-by-Step Implementation Step 4 Implement the Command-Line Interface.html

8. Step-by-Step Implementation Step 5 Implement Data Analysis Functions.html

9. Step-by-Step Implementation Step 6 Implement Data Visualization Functions.html

10. Step-by-Step Implementation Step 7 Finalize and Document the Project.html

11. Summary Day 30 Final Project.html

12.1 folders.zip

12.10 step7.zip

12. Download Day 30 Final Project.html

37. Summary

1. Next Step.html

2. Thanks.html

Description

Python Simplified: A Month of Micro Lessons for Quick Mastery

What You'll Learn?

Understand the basic syntax and structure of Python code
Use variables, data types, and operators in Python
Control program flow using conditional statements (if-else) and loops (for, while)
Define and use functions to modularize code
Work with data structures such as lists, tuples, and dictionaries
Read from and write to files using Python
Handle exceptions and errors in Python programs
Use modules and libraries to extend Python's functionality
Apply object-oriented programming (OOP) concepts in Python
Develop problem-solving skills through practical coding exercises and projects

Who is this for?

Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch.

Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set.

Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects.

Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology.

Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python.

Aspiring Developers: Those who want to start their journey in software development or web development using Python.

Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.

What You Need to Know?

A computer (Windows, Mac, or Linux) with internet access.

Python 3.x installed on your computer. (I will provide instructions on how to install Python if needed.)

A text editor or an Integrated Development Environment (IDE) for writing Python code. (I recommend using Python IDLE, which comes with the Python installation, or a popular IDE like PyCharm or Visual Studio Code.)

Dedication to spend at least 30-60 minutes daily for the next 30 days to learn and practice Python programming.

Basic computer literacy: You should be comfortable using a computer, navigating through files and folders, and using a text editor or IDE.

Basic understanding of programming concepts: Familiarity with basic programming concepts such as variables, data types, loops, and conditionals will be helpful, but not mandatory. The course will cover these concepts from the ground up.

Willingness to learn: A positive attitude and a willingness to learn and practice regularly are essential for making the most out of this course.

More details

Description
Python Programming Fundamentals - A 30-Day Micro Learning Journey
Course Description: Embark on an exciting 30-day micro learning journey to master the fundamentals of Python programming! This comprehensive course is designed for beginners who want to learn Python in a structured and bite-sized manner. Throughout the course, you'll gain hands-on experience with Python syntax, data types, control structures, functions, and more.
Our micro learning approach ensures that you can easily fit learning into your busy schedule. Each day, you'll dedicate just 15-30 minutes to learn a new concept, complete a short coding exercise, and reinforce your understanding through practical examples.
Course Highlights:
30 bite-sized lessons covering essential Python topics
Hands-on coding exercises and projects to apply your knowledge
Real-world examples and practical applications
Quizzes and assessments to track your progress
Access to a supportive learning community and expert instructors
Course Outline: Week 1: Python Basics
Day 1: Introduction to Python and setting up the development environment
Day 2: Python syntax, comments, and variables
Day 3: Data types (numbers, strings, booleans)
Day 4: Basic input and output operations
Day 5: Operators and expressions
Day 6: Conditional statements (if-else)
Day 7: Loops (for and while)
Week 2: Data Structures and Functions
Day 8: Lists and list manipulation
Day 9: Tuples and their applications
Day 10: Dictionaries and key-value pairs
Day 11: Sets and set operations
Day 12: Functions and parameter passing
Day 13: Scope and global/local variables
Day 14: Recursion and recursive functions
Week 3: Object-Oriented Programming (OOP) and Modules
Day 15: Introduction to OOP concepts
Day 16: Classes and objects
Day 17: Inheritance and polymorphism
Day 18: Encapsulation and data hiding
Day 19: Modules and importing libraries
Day 20: File handling (reading and writing files)
Day 21: Exception handling and error management
Week 4: Advanced Topics and Projects
Day 22: Lambda functions and map/filter/reduce
Day 23: List comprehensions and generator expressions
Day 24: Regular expressions and string manipulation
Day 25: Introduction to web scraping with Python
Day 26: Working with APIs and JSON data
Day 27: Introduction to data analysis with Python (NumPy and Pandas)
Day 28-30: Capstone projects and real-world applications

By the end of this course, you'll have a solid foundation in Python programming and be equipped with the skills to tackle real-world projects. You'll also have a portfolio of coding exercises and projects to showcase your newfound knowledge.

Whether you're a complete beginner or looking to refresh your Python skills, this micro learning course provides a structured and engaging learning experience. Join us on this 30-day journey and unlock the power of Python programming!

Enroll now and start your Python programming journey today!
Who this course is for:
Beginners: Individuals with little to no prior programming experience who want to learn Python from scratch.
Career Switchers: Professionals looking to switch careers or add programming skills to their existing skill set.
Students: High school, college, or university students who want to learn Python as part of their curriculum or for personal projects.
Hobbyists: People who want to learn Python as a hobby or for personal interest in programming and technology.
Data Enthusiasts: Individuals interested in exploring data analysis, manipulation, and visualization using Python.
Aspiring Developers: Those who want to start their journey in software development or web development using Python.
Business Professionals: Non-technical professionals who want to understand and apply basic programming concepts to their work or collaborate better with technical teams.

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Python Scripting

CloudMatrix Learning

Instructor's Courses

CloudMatrix Learning. is an innovative information technology company specializing in Learning Services. Based in the Europe, the company was established with the mission to transform how educational content is delivered and consumed by leveraging cutting-edge technologies.The flagship product of CloudMatrix Learning is a dynamic learning management system (LMS) that offers scalable solutions for educational institutions and corporate training programs. This platform integrates seamlessly with existing educational tools and provides real-time analytics that helps educators enhance their teaching methods and improve student engagement.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.