Mastering Cybersecurity using Python (Volume 1)
Abhishek Singh
ISBN: 979-8282743012 247 pages (May 6, 2025)
Book Overview:
Mastering Cybersecurity using Python (Volume 1): A Comprehensive Guide! This book will taken you on a journey through the foundational aspects of cybersecurity, from understanding threats and frameworks to hands-on Python scripting for network scanning, cryptography, web security, and cybercrime analysis. You will explored tools like Scapy, BeautifulSoup, and Selenium, and delved into legal frameworks like the IT Act, 2000, and the MITRE ATT&CK framework. Structured into 11 chapters, the book progresses from fundamentals to advanced techniques, with real-world examples, legal insights, and ethical considerations.
Key Themes 1. Foundations of Cybersecurity
- Explores core principles (CIA triad, threat modeling) and Python’s role in security automation.
Covers cybercrime classifications (phishing, ransomware) and frameworks (MITRE ATT&CK, NIST).
2. Offensive Security with Python Web Security: Automates SQLi/XSS testing with requests and BeautifulSoup, and dynamic content analysis with Selenium. Mastering PostgreSQL using Python Vol 1: A Comprehensive Guide Abhishek Singh ISBN: 979-8850565985 318 pages (July 1, 2023) "Mastering PostgreSQL with Python: A Comprehensive Guide" is a comprehensive book that provides a deep understanding of PostgreSQL and its integration with Python for building robust and scalable data-driven applications. This book covers a wide range of topics, from the basics of PostgreSQL and Python to advanced features, performance tuning, and security. The book begins with an introduction to relational databases, highlighting the importance of PostgreSQL and Python in modern data-driven applications. It guides readers through the installation and setup process of PostgreSQL and Python, ensuring a smooth development environment. Readers will learn the fundamental PostgreSQL commands for data manipulation, such as SELECT, INSERT, UPDATE, and DELETE. They will explore various data retrieval techniques, including joining tables, filtering data, sorting, and aggregating results. The book delves into advanced PostgreSQL features, such as working with JSON and JSONB data types, performing full-text search, and utilizing arrays and other advanced data structures. Throughout the book, readers will find practical examples, code snippets, and real-world scenarios to reinforce their understanding. The interview questions provided at the end of each chapter serve as valuable resources for job interviews and self-assessment. By the end of "Mastering PostgreSQL with Python," readers will have gained the knowledge and skills necessary to leverage the power of PostgreSQL and Python to build robust and scalable data-driven applications while ensuring high performance, data integrity, and security. Python Coding – One Year Later: A Treasure Trove of Practical and Simple Examples Cathy Young ISBN: 9798707217357 M & C Publishing 356 Pages (December 2020) Learn the simple basics of debugging a Python script so your code runs as expected. Chapter 3 presents "Python Basics" because a big part of debugging is knowing the correct syntax for a particular object and task. Dozens of diagrams explain concepts such as indexing, slicing, scope, or recursive functions. The syntax relevant to each type of object is also shown. To add to a "list," you could use 'append,' 'join' or 'extend' methods. While adding a new key:value pair to a dictionary is straightforward, adding to an existing dictionary requires you to know the "type" of object in the key:value pair to determine which methods to use to add, update, or delete objects. Copy and paste over 50 real-world self-contained examples into your IDE and run the code snippets. Between the detailed Table of Contents and extensive Index, you can quickly find answers. The Index includes common phrases for those times when you don't know the technical term. For example, to find a string in Python, you could use the "in" comparison operator. Whether you look for "find" or "search," the Index refers you to the "in" comparison operator. The examples are varied so you can work with different types of data, such as: XML, HTML, matplotlib (plots/charts/graphs), OS (files/directories), *.txt, *.csv, user input, or dates. Dane Hillard ISBN 13: 9781617299919 Manning Publications 275 Pages (March 2022)
3. Defensive Techniques
4. Legal & Ethical Dimensions
5. Tools & Methods
Pedagogical Features
Target Audience
What Sets It Apart
