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
Your one-stop guide to learning and implementing artificial neural networks with Keras effectively
Understand malware analysis and its practical implementation
5 real-world projects to help you master deep learning concepts
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
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.
Create apps in C++ and leverage its latest features using modern programming techniques.
A comprehensive guide in developing and deploying high performance microservices with Rust
Master Shellcode to leverage the buffer overflow concept