Course curriculum

    1. Course Introduction

      FREE PREVIEW

    2. Materials

    1. 1. Exploring the Power of Python_ A Comprehensive Overview and Practical Guide

      FREE PREVIEW

    2. 2. Mastering Anaconda_ A Step-by-Step Guide to Installation and Configuration

      FREE PREVIEW

    3. 3. Understanding Python Variables and Constants

    4. 4. Exploring Object-Oriented Programming in Python

    5. 5. Mastering Lists in Python_ Techniques and Best Practices

    6. 6. Exploring File Methods in Python

    7. 7. Exploring Python Keywords and Identifiers

    8. 8. Exploring Python Tuples_ Immutable Collections in Action

    9. 9. Mastering Sets in Python_ Unleashing Efficient Data Management and Operations

    10. 10. Mastering Python Modules and Packages_ Unlocking the Power of Modular Programming

    11. 11. Mastering File and Directory Management in Python

    12. 12. Mastering Python Dictionaries_ A Comprehensive Guide

    13. 13. Exploring Python Strings_ A Comprehensive Guide

    14. 14. Understanding Python Type Conversion_ Implicit and Explicit Techniques

    15. 15. Exploring Python-s Numeric Data Types_ From Integers to Complex Numbers

    16. 16. Understanding Namespace and Scope in Python

    17. 17. Understanding Variable Scoping in Python

    18. 18. Mastering the Global Keyword in Python

    19. 19. Exploring Python Iterators_ Unlocking the Power of Sequential Data Iteration

    20. 20. Understanding Python Inheritance_ Building Hierarchical Relationships in Object-Oriented Programming

    21. 21. Exploring Multiple Inheritance in Python

    22. 22. Understanding Python Function Arguments

    23. 23. Mastering Continue Statements in Python

    24. 24. Understanding Python Errors and Exceptions Handling

    25. 25. Mastering Exception Handling in Python

    26. 26. Exploring Nested Dictionaries in Python

    27. 27. Mastering Operator Overloading in Python

    28. 28. Understanding the Pass Statement in Python

    29. 29. Simplifying Iteration with Python Generators

    30. 30. Enhancing Python Code with Decorators_ A Visual Journey

    31. 31. Mastering While Loops in Python_ A Comprehensive Guide

    32. 32. Mastering Conditional Statements in Python

    33. 33. Mastering Matrix Operations in Python

    34. 34. Mastering Regular Expressions in Python

    35. 35. Mastering List Comprehension in Python

    36. 36. Enhancing Python Programs_ Input_Output and Module Imports

    37. 37. Mastering File Handling in Python

    38. 38. Simplifying Attribute Management with Python-s Property() Function

    39. 39. Understanding Closures in Python - Made with Clipchamp

    40. 39. Understanding Closures in Python

    1. Special Gift for You

About this course

  • $9.00
  • 43 lessons
  • 4.5 hours of video content

Reference, Rating, and Feedback

Intended Learners

What will you learn in the course?

  • Fundamental Concepts: Gain a solid understanding of Python syntax, variables, data types, and basic programming concepts.

  • Object-Oriented Programming (OOP): Explore the principles of OOP and learn how to create and manipulate objects, classes, and inheritance hierarchies.

  • Data Structures: Master essential data structures such as lists, tuples, sets, dictionaries, and learn their implementation and manipulation techniques.

  • File Handling: Understand how to read from and write to files, manipulate file content, and manage file operations effectively.

  • Advanced Topics: Dive into advanced Python topics including iterators, generators, decorators, closures, and regular expressions for more efficient and expressi

  • Error Handling: Learn how to handle errors and exceptions gracefully to ensure robust and reliable Python applications.

  • Functional Programming: Explore functional programming concepts and techniques such as lambda functions, map, filter, and reduce functions.

  • Control Flow: Master control flow mechanisms including loops, conditional statements, and understand how to use them effectively in Python programming.

  • Data Manipulation: Gain proficiency in manipulating data with Python, performing matrix operations, and leveraging list comprehension for concise and powerful c

  • Modules and Packages: Learn how to create, import, and organize Python modules and packages to modularize code and promote reusability.

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

Discover your potential, starting today

Enroll today

Subscribe to our Newsletter!

Add your email to the mailing list to get the latest updates.

Thank You