Course Overview

Advanced Python Programming Module

The Advanced Python Programming Module is designed for experienced developers looking to deepen their understanding of Python and expand their capabilities in specialized areas. This module covers advanced concepts and tools that are essential for tackling complex projects, building scalable applications, and implementing robust security practices. Each lesson is structured to provide in-depth knowledge and hands-on experience, ensuring that learners can apply these skills to real-world scenarios.

Lesson 1: Django Library

In this lesson, you will explore Django, a high-level Python web framework that encourages rapid development and clean, pragmatic design. You will learn about Django’s architecture, how to set up and install Django, and how to create and manage views, URLs, templates, and models. Additionally, you’ll delve into querying the database using Django models and managing your application through the Django admin interface.

Lesson 2: Database Connection with Python

This lesson focuses on connecting Python applications with databases, specifically MySQL and MongoDB. You’ll learn how to establish and manage database connections, perform CRUD (Create, Read, Update, Delete) operations, and utilize Python’s libraries for efficient database management.

Lesson 3: Introduction to Machine Learning

Machine Learning is a cornerstone of modern AI, and in this lesson, you’ll be introduced to its key concepts and history. You will explore the entire machine learning process, from data collection and processing to model building and evaluation. The lesson covers both supervised and unsupervised learning techniques, as well as semi-supervised learning, providing a solid foundation for further exploration into AI.

Lesson 4: Deep Learning

Building on the concepts from the previous lesson, this lesson dives into deep learning, focusing on popular frameworks like PyTorch, TensorFlow, and Keras. You’ll learn how to build and train neural networks, including feedforward, convolutional, and recurrent networks. The lesson also explores deep reinforcement learning and its applications in various fields.

Lesson 5: Design Patterns and Meta Classes

In this lesson, you’ll gain a deep understanding of design patterns and meta classes in Python. You will explore the different categories of design patterns—creational, structural, and behavioral—and learn how to implement them in Python. This lesson is crucial for writing reusable, maintainable, and scalable code.

Lesson 6: Threading and Multiprocessing

Concurrency and parallelism are critical for optimizing the performance of your applications. This lesson covers threading and multiprocessing in Python, teaching you how to manage threads, process parallel tasks, and improve your program’s efficiency in handling large datasets or complex computations.

Lesson 7: Application Security and Best Practices

Security is paramount in software development. In this final lesson, you’ll learn about the best practices for writing secure Python code. The lesson covers application security techniques, how to mitigate common vulnerabilities, and the importance of adhering to industry standards for software security. You will also learn about coding best practices to maintain code quality and ensure long-term maintainability.