Python Coding
Elevate your programming skills with our advanced Python course, where you’ll explore concepts like object-oriented programming, asynchronous programming, and web scraping. Gain hands-on experience through practical projects, empowering you to build complex applications and optimize your code for real-world challenges.
Course Program
What you'll learn
- Advanced concepts in Python programming, including object-oriented programming (OOP), data structures, and concurrency.
- Techniques for web scraping, API integration, and asynchronous programming.
Course Program
Requirements
- Basic knowledge of Python programming and familiarity with fundamental programming concepts.
- Access to a development environment for coding and testing Python scripts.
- Beginner Class: For students new to programming or with no prior experience.
- Advance Class: For students with programming basics or who have completed the beginner level.
Course content
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- Introduction to Python Programming
Overview of Python, history, and use cases. - Setting Up the Python Development Environment
Installing Python, configuring IDEs, and writing the first program. - Basic Syntax and Program Structure
Understanding Python’s structure, indentation, and main function. - Variables and Data Types in Python
Declaring variables, built-in data types, and dynamic typing. - Input and Output Operations
Using input(), print(), and formatting output in Python. - Operators and Expressions
Arithmetic, comparison, logical, bitwise, and assignment operators. - Control Flow: Conditional Statements
If, elif, else statements for decision-making in Python. - Control Flow: Loops in Python
Using for, while, and else loops with examples. - Lists: Introduction and Basics
Creating, accessing, and modifying lists in Python. - Working with Strings in Python
String slicing, manipulation, and common string methods. - Functions: Defining and Using Functions
Creating functions, passing arguments, and return values. - Functions: Lambda and Recursion
Lambda functions, recursion basics, and examples. - Introduction to Tuples and Sets
Understanding tuples, sets, and their differences from lists. - Dictionaries: Keys and Values
Creating, accessing, and manipulating dictionaries. - Error Handling and Exceptions
Using try, except, finally, and raising exceptions. - Basic File Handling in Python
Reading from and writing to files using open(), with, and basic I/O operations.
- Introduction to Python Programming
- Advanced Python Programming Overview
Understanding advanced concepts and Python’s versatility. - List Comprehensions and Generators
Writing concise list comprehensions, creating and using generators. - Advanced Functions: Decorators and Closures
Understanding function decorators, closures, and their applications. - OOP in Python: Classes and Objects
Defining classes, creating objects, inheritance, and polymorphism. - Advanced OOP: Metaclasses and Property Decorators
Using metaclasses, property, classmethod, and staticmethod decorators. - Iterators and Iterables in Python
Understanding iterables, iterators, and implementing custom iterators. - Working with Modules and Packages
Creating, importing, and organizing modules and packages in Python. - File I/O: Working with Binary Files and JSON
Handling binary files, JSON serialization and deserialization. - Regular Expressions (Regex) in Python
Pattern matching, searching, and manipulating text using regex. - Error Handling: Custom Exceptions and Assertions
Creating custom exceptions, using assertions for debugging. - Advanced Data Structures: Collections Module
Exploring deque, namedtuple, Counter, defaultdict, and OrderedDict. - Multithreading and Multiprocessing in Python
Using threading and multiprocessing libraries for concurrency. - Networking and Socket Programming
Implementing client-server models using Python’s socket library. - Asynchronous Programming with Asyncio
Introduction to asynchronous programming and event loops using asyncio. - Web Scraping and APIs in Python
Using libraries like BeautifulSoup and requests for web scraping and API calls. - Debugging and Profiling Python Code
Debugging techniques with pdb, and profiling code performance using cProfile and timeit.
Course Program
Capstone Project
To-Do List Application: Create a command-line to-do list app that allows users to add, delete, and view tasks, utilizing file I/O for data persistence.
Weather Data Scraper: Develop a web scraper that collects weather data from a public API and stores it in a JSON file, demonstrating API integration and data handling.
Simple Chat Application: Build a basic client-server chat application using Python’s socket programming, allowing multiple clients to communicate in real-time.
Text-Based Adventure Game: Design an interactive text-based adventure game using classes and OOP principles, incorporating user choices and game state management.
Custom URL Shortener: Implement a URL shortener service that generates short links for long URLs and tracks the number of clicks, showcasing web scraping and database handling.
Course Program
Outcomes
- Proficiency in implementing advanced Python features such as decorators, generators, and custom exceptions.
- Ability to create and manage complex applications, including web scraping and network communication.
- Skills in debugging, profiling, and optimizing Python code for performance.