Python Programming


Request for price


Length: 5.0 day (40 hours)

 

 This comprehensive Python programming course is designed to equip learners with the essential skills to write efficient and effective Python code. Whether you're a beginner or have some programming experience, this course will guide you through the core concepts of Python programming

  • Beginners with no prior programming experience
  • Individuals looking to transition into a tech career
  • Professionals seeking to automate tasks and improve productivity
  • Data scientists and analysts interested in data manipulation and analysis
  • Basic computer literacy
  • A curious mind and a willingness to learn

Start with the customer – find out what they want and give it to them.

Course objectivesCourse outlines

Course objectives

After completing this course, students will be able to:

    • Understand Python's syntax and semantics
    • Write clear and concise Python code
    • Utilize fundamental data structures (lists, tuples, dictionaries)
    • Employ control flow statements (if-else, loops)
    • Define and use functions
    • Handle errors and exceptions
    • Work with files and input/output operations
    • Create modular and reusable code
    • Apply object-oriented programming principles
    • Build simple applications and scripts

Course outlines

  • Module 1: Introduction to Python
    • Installation and setup
    • Basic syntax and data types
    • Variables and operators
    • Input and output operations
  • Module 2: Control Flow
    • Conditional statements (if, elif, else)
    • Loops (for, while)
    • Iterating over sequences
  • Module 3: Functions
    • Defining and calling functions
    • Parameters and arguments
    • Return values
    • Scope and namespaces
  • Module 4: Data Structures
    • Lists
    • Tuples
    • Dictionaries
    • Sets
    • String manipulation
  • Module 5: Modules and Packages
    • Importing modules
    • Creating your own modules
    • Using standard library modules
    • Installing external packages
  • Module 6: File Handling
    • Reading and writing files
    • Text files
    • Binary files
    • Exception handling
  • Module 7: Object-Oriented Programming
    • Classes and objects
    • Inheritance
    • Polymorphism
    • Encapsulation
  • Module 8: Advanced Topics
    • Regular expressions
    • Functional programming
    • Decorators and generators
    • Working with databases (optional)
    • Web scraping (optional)
  • Practical Projects:
    • Building a simple calculator
    • Creating a text-based adventure game
    • Developing a data analysis application
    • Automating tasks with Python scripts

​

Download outlines