Python Certification Course

Develop a strong foundation in versatile programming and data handling techniques. Build real-world applications using industry-standard tools and advanced coding logic.

Duration

2 Days

Language

English

Delivery Mode

Online/Hybrid/Face-to-Face

Course Overview

Learning Objectives

  • Build a solid understanding of core syntax, data structures, and control flow logic.
  • Apply object-oriented programming principles to create scalable and efficient code.
  • Analyze and visualize complex datasets using specialized libraries like Pandas and Matplotlib.
  • Develop and deploy functional web applications using micro-frameworks and backend integration.
  • Implement robust database management and SQL operations within Python environments.
  • Execute professional testing and version control workflows to ensure high-quality software delivery.

Course Outline

Modules
  • Module 1: Introduction to Python

    • Introduction to programming and Python’s role
    • Installing Python and development environment setup
    • Basic syntax and data types (numbers, strings, lists, tuples, dictionaries)
    • Variables, assignments, and basic operations
    • Writing and executing simple Python programs
  • Module 2: Control Structures and Functions

    • Conditional statements (if, else, elif)
    • Loops (for, while) and iteration
    • Writing and using functions
    • Function parameters and return values
    • Scope and namespaces
  • Module 3: Data Structures and File Handling

    • Lists: indexing, slicing, and manipulation
    • Tuples and sets
    • Dictionaries: creating, accessing, and updating
    • Reading from and writing to files
    • Exception handling and error management
  • Module 4: Object-Oriented Programming (OOP)

    • Introduction to OOP concepts
    • Classes and objects
    • Constructors and destructors
    • Inheritance and polymorphism
    • Encapsulation and abstraction
  • Module 5: Advanced Python Concepts

    • Generators and iterators
    • Decorators: purpose and usage
    • Lambda functions and map-reduce-filter operations
    • List comprehensions and generator expressions
    • Using libraries and modules: importing and using external code
  • Module 6: Working with Data

    • Introduction to data manipulation libraries (e.g., NumPy, Pandas)
    • Data analysis and manipulation using Pandas
    • Introduction to data visualization with Matplotlib
  • Module 7: Web Development with Python

    • Introduction to web development and backend programming
    • Basics of HTML, CSS, and web requests
    • Building a simple web application using a micro web framework like Flask
  • Module 8: Databases and SQL

    • Introduction to databases and database management systems
    • Using SQLite with Python
    • Performing basic SQL operations with Python
    • Connecting Python applications to databases
  • Module 9: Testing and Debugging

    • Importance of testing and debugging
    • Writing unit tests using the built-in unittest framework
    • Debugging techniques and tools
    • Handling exceptions and errors effectively
  • Module 10: Final Project

    • Integrating knowledge from all modules into a larger project
    • Planning, designing, and implementing a significant Python application
    • Version control using Git and GitHub
    • Presenting and demonstrating the final project
  • Module 11: Best Practices and Further Learning

    • Writing clean and maintainable code
    • Code documentation and comments
    • Collaborative coding and code review
    • Exploring further resources, libraries, and frameworks
    • Preparing for Python certification exams and advancing your Python skills

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