Advanced Python with Projects

Categories: E-Learning, Python

About Course

This course is designed for students who already have a basic understanding of Python and want to take their skills to the next level. Through real-world projects, you will gain in-depth knowledge of Python’s advanced features, libraries, and frameworks. By the end of this course, you will be able to build complex applications and have the skills needed for career growth in areas like Data Science, Web Development, and Automation.

By the end of this course, you will be able to:
Master Advanced Python Concepts
Learn advanced topics such as lambda functions, decorators, comprehensions, and generators for cleaner, more efficient code.
Deepen Your Object-Oriented Programming (OOP) Knowledge
Gain a strong understanding of OOP principles such as inheritance, polymorphism, encapsulation, and design patterns to write reusable, maintainable code.
Work with External Libraries and APIs
Learn how to use Python’s powerful external libraries like requests, BeautifulSoup, and Flask to build web scrapers, interact with APIs, and create web applications.
Analyze Data with Python
Get hands-on experience with NumPy, Pandas, and Matplotlib to process, analyze, and visualize data for real-world applications like data science and machine learning.
Build Real-World Projects
Apply your knowledge by creating real-world projects such as web scrapers, inventory management systems, and data analysis pipelines.
Automate Everyday Tasks
Automate repetitive tasks like file operations, web browsing, and data processing using Python scripts.
Write Unit Tests and Debug Python Code
Master the unittest module and learn how to write tests for your Python applications to ensure code reliability, along with debugging techniques to catch and fix errors efficiently.
Develop a Web Application with Flask
Learn to build and deploy web applications using the Flask framework, from setting up routing and templates to managing databases.
Prepare for Advanced Python Roles
Gain the skills necessary to take on roles in web development, data analysis, automation, and more, using your advanced Python knowledge.

Course Content

Week 1: Advanced Python Concepts
Class 1: Deep Dive into Functions Lambda functions, map, filter, and reduce Decorators and their practical uses Higher-order functions Understanding closures Class 2: Comprehensions and Generators List, set, and dictionary comprehensions Generator functions and expressions The yield keyword and its uses Iterators and how they work in Python

Week 2: Object-Oriented Programming (OOP) in Python
Class 3: Advanced OOP Concepts Class inheritance and method overriding Polymorphism and encapsulation Special methods (init, str, repr, etc.) Understanding class decorators Class 4: Design Patterns and Principles Common Python design patterns (Singleton, Factory, Observer) SOLID principles in Python Creating reusable Python classes

Week 3: Working with External Libraries and APIs
Class 5: File I/O and Working with External Libraries Advanced file handling (CSV, JSON, XML) Using external libraries: requests, BeautifulSoup for web scraping Using APIs (sending and receiving data from a REST API) Class 6: Introduction to Data Analysis with Python Working with NumPy and Pandas for data manipulation Introduction to Matplotlib and Seaborn for data visualization Importing and cleaning data for analysis

Week 4: Working with Databases and Web Development
Class 7: Python and Databases Connecting to SQL databases using SQLite and MySQL Writing SQL queries in Python Introduction to SQLAlchemy ORM Class 8: Web Development with Flask Introduction to Flask framework Building a simple web application (CRUD operations) Understanding templates, routing, and forms in Flask

Week 5: Automation and Testing
Class 9: Automating Tasks with Python Working with the os and shutil libraries Automating file operations (copying, moving, renaming files) Writing Python scripts to automate web tasks using Selenium Class 10: Writing Unit Tests and Debugging Introduction to unittest module Writing test cases for Python functions Debugging Python code effectively using pdb

Week 6: Final Project and Course Wrap-Up
Class 11: Final Project - Real-World Application Build a real-world Python project, such as: A web scraper that collects and processes data from a website An inventory management system using Python and SQLite A data analysis pipeline that processes CSV data and generates reports Provide a portfolio-worthy project that can be shared with potential employers or clients. Class 12: Course Conclusion and Next Steps Review of all topics covered Career guidance on how to apply advanced Python skills in the industry Discussion of further learning resources (Machine Learning, Artificial Intelligence, etc.)

Advanced Python with Projects

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