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

Mastering Python: From Basics to Advanced

Unlocking the Full Potential of Python Programming

📚 What You'll Learn

  • 🔍 Fundamental Concepts: Understand Python syntax, variables, data types, and basic programming principles.
  • 🏗️ Object-Oriented Programming (OOP): Learn to create and manipulate objects, classes, and inheritance hierarchies.
  • 📊 Data Structures: Master essential structures like lists, tuples, sets, and dictionaries, along with their implementation and manipulation techniques.
  • 📂 File Handling: Learn how to read, write, and manage file content effectively.
  • 🔧 Advanced Topics: Dive into iterators, generators, decorators, closures, and regular expressions for efficient coding.
  • ⚠️ Error Handling: Master techniques for gracefully handling errors and exceptions in Python applications.
  • 🔄 Functional Programming: Explore concepts such as lambda functions, map, filter, and reduce for functional programming paradigms.
  • 🔀 Control Flow: Understand loops, conditional statements, and their effective use in Python programming.
  • 🔢 Data Manipulation: Gain proficiency in manipulating data, performing matrix operations, and using list comprehension.
  • 📦 Modules and Packages: Learn to create, import, and organize Python modules and packages for code modularity and reusability.
  • 📈 Advanced Techniques: Explore property functions, operator overloading, and concepts of namespace and scope for sophisticated programming.

📋 Requirements

  • Programming Understanding: Familiarity with basic programming concepts.
  • Python & Anaconda: Installation of Python and Anaconda on your machine.
  • Curiosity: A willingness to learn and explore the world of Python programming.

📝 Course Description

Welcome to "Mastering Python: From Basics to Advanced", an immersive course designed to transform you into a proficient Python developer.

This comprehensive course begins with Python's foundational concepts, guiding you through its syntax, variables, data types, and basic programming constructs. You’ll establish a strong base for more advanced topics.

As you progress, you’ll explore Object-Oriented Programming (OOP), learning to create classes, objects, and methods to build modular and reusable code. You'll delve into inheritance, polymorphism, and encapsulation, equipping you with the skills to design and implement sophisticated software solutions.

Key Course Highlights:

  • Hands-On Learning: Engage in practical exercises and projects that reinforce your understanding and application of Python.
  • File and Database Management: Learn to handle files and work with databases while implementing robust error handling strategies.
  • Advanced Python Features: Discover iterators, generators, decorators, and regular expressions to enhance code efficiency and elegance.

By the end of this course, you will possess a comprehensive understanding of Python programming, from foundational principles to advanced concepts. You’ll be well-equipped to tackle complex programming challenges, develop scalable applications, and contribute confidently to Python projects.

👥 Who This Course Is For

  • Beginners: Individuals new to programming looking to start with Python.
  • Students: College or university students in computer science or related fields aiming to strengthen their Python skills.
  • Career Changers: Those transitioning into software development or data science needing a solid foundation in Python.
  • Professionals: Working individuals looking to enhance their programming capabilities in Python for automation, data analysis, or web development.

Reference, Rating, and Feedback

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

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