Python Development

A comprehensive “Python Development” course typically covers a range of topics designed to take learners from basic to advanced proficiency in Python programming. Here’s a detailed outline of a typical Python Development course

By the end of this course, participants will be able to:

• Understand and use core Python programming concepts.
• Develop and debug Python applications.
• Work with data using Python libraries.
• Implement web applications and APIs using Python frameworks.
• Apply Python for automation and scripting tasks.

• Beginners with no prior programming experience
• Intermediate programmers looking to specialize in Python
• IT professionals and data analysts seeking Python skills

• Basic computer literacy
• No prior programming experience required

• Overview: Getting started with Python programming.
• Topics Covered:
  • Introduction to Python: History and features
  • Installing Python and setting up the development environment
  • Running Python scripts and using the interactive shell
  • Basic syntax: Variables, data types, and operators

• Overview: Building blocks of Python programs.
• Topics Covered:
  • Conditional statements: if, elif, else
  • Looping structures: for, while
  • Functions: Defining, calling, and returning values
  • Scope and lifetime of variables
  • Lambda functions and higher-order functions

• Overview: Working with different types of data collections.
• Topics Covered:
  • Lists, tuples, sets, and dictionaries
  • List comprehensions and generator expressions
  • Working with built-in data structures
  • Understanding and using the collections module

• Overview: Principles of OOP and their application in Python.
• Topics Covered:
  • Classes and objects: Creating and using classes
  • Inheritance: Extending classes and method overriding
  • Encapsulation and polymorphism
  • Using special methods (__init__, __str__, __repr__)

• Overview: Reading from and writing to files.
• Topics Covered:
  • File operations: Opening, reading, writing, and closing files
  • Working with different file formats (text, CSV, JSON)
  • Handling exceptions and errors during file operations
  • Using the os and shutil modules for file and directory manipulation

• Overview: Organizing and managing code in Python.
• Topics Covered:
  • Importing and using modules and packages
  • Creating custom modules and packages
  • Understanding the Python Package Index (PyPI)
  • Using virtual environments to manage dependencies

• Overview: Managing and resolving errors in Python code.
• Topics Covered:
  • Exception handling with try, except, finally
  • Debugging techniques: Using print statements, logging, and debuggers
  • Writing and running unit tests with unittest and pytest

• Overview: Building web applications using Python frameworks.
• Topics Covered:
  • Introduction to web frameworks: Django and Flask
  • Creating and managing web applications
  • Handling web forms and user input
  • Building RESTful APIs with Flask or Django REST Framework
  • Deploying web applications to cloud platforms

• Overview: Using Python for data analysis and automation.
• Topics Covered:
  • Data manipulation with Pandas
  • Data visualization with Matplotlib and Seaborn
  • Introduction to machine learning with Scikit-learn
  • Writing scripts to automate tasks and processes
  • Web scraping with BeautifulSoup and Scrapy

• Overview: Exploring advanced concepts and techniques.
• Topics Covered:
  • Asynchronous programming with asyncio
  • Working with databases using SQL and SQLAlchemy
  • Understanding and using decorators and context managers
  • Memory management and performance optimization