Python Intermediate Advanced Project
In the rapidly evolving landscape of cybersecurity, honeypots have emerged as a powerful tool for threat detection and intelligence gathering. […]
3. Python Interm-Advanced
Python Interm-Advanced series, where you’ll deepen your expertise and tackle more complex topics in Python. We’ll begin with Memory Management & Garbage Collection, diving into performance optimization techniques and writing efficient, Pythonic code. Then, explore Advanced Algorithms & Data Structures, including graph algorithms like BFS, DFS, and Dijkstra’s Algorithm, advanced dynamic programming, and hashing techniques used in cryptography. In the Secure Coding & Best Practices section, you’ll learn about secure coding principles (OWASP Top 10), Python cryptography libraries like PyCrypto and hashlib, and secure authentication methods like JWT and OAuth2. Next, we’ll cover DevOps & CI/CD Pipelines, introducing tools like Docker, Kubernetes, Jenkins, and GitHub Actions for automation, as well as infrastructure-as-code tools like Terraform and Ansible. Finally, dive into Big Data & Distributed Computing, where you’ll learn how to process large datasets with Dask and PySpark, perform parallel computing with Ray, and build ETL pipelines. Ready to take your Python skills to an expert level? Let’s get started!
Python Big Data and Distributed Computing
The ability to process and analyze vast amounts of data is critical for businesses aiming to gain insights and maintain
Python DevOps & CI/CD Pipelines
In today’s fast-paced software development landscape, DevOps practices have become crucial for achieving seamless integration and delivery. Continuous Integration (CI)
Python Secure Coding & Best Practices
As cyber threats continue to evolve, the importance of secure coding practices has never been greater. Attackers constantly exploit poorly
Python Advanced Algorithms & Data Structures
Efficient algorithms and data structures are the foundation of high-performance applications, ranging from search engines and recommendation systems to cybersecurity
Python Internals & Performance Optimization
Python is widely loved for its simplicity and readability, but behind the scenes, its performance can be a concern, especially