Python Data Science Handbook / Lists

The Information Technology (IT) Library List is a curated collection of resources that support learning, research, and professional development in the field of computing and digital technologies. This collection encompasses a wide range of subjects and is designed to serve students, educators, researchers, and IT professionals.

Collection Overview:
The IT Library List includes materials in the following categories:

Computer Science Fundamentals
Covers programming languages (Python, Java, C++, etc.), data structures, algorithms, and software engineering principles.

Information Systems & Management
Includes books and case studies on systems analysis, enterprise systems, IT governance, cybersecurity management, and digital transformation.

Networking & Cybersecurity
Encompasses resources on computer networks, network administration, internet protocols, firewalls, ethical hacking, and information security frameworks.

Web & App Development
Offers guides on web technologies (HTML, CSS, JavaScript), mobile application development, and frameworks like React, Angular, and Flutter.

Databases & Big Data
Resources on relational databases, SQL, NoSQL, data warehousing, business intelligence, and big data analytics tools such as Hadoop and Spark.

Artificial Intelligence & Machine Learning
Books and journals exploring neural networks, deep learning, natural language processing, robotics, and AI ethics.

Cloud Computing & Virtualization
Focused on platforms such as AWS, Microsoft Azure, Google Cloud, and concepts like SaaS, IaaS, PaaS, containerization, and virtualization.

IT Certifications & Career Resources
Includes exam prep guides for certifications such as CompTIA, Cisco (CCNA), AWS, Microsoft, and PMI.

Books that I own a hard copy of

Data Engineering, analytics and data science

Books related to Computer Programming.

List of eBooks I have