Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
5 real-world projects to help you master deep learning concepts
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Understand malware analysis and its practical implementation
A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your company's infrastructure
Get up and running with system programming concepts in Linux
Create apps in C++ and leverage its latest features using modern programming techniques.
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.
A comprehensive guide in developing and deploying high performance microservices with Rust
Master Shellcode to leverage the buffer overflow concept