




  Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a firstclass tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,...   A Practical Introduction to Enterprise Network and Security Management
Computer networking and cybersecurity are challenging subjects, partly because of the constant rise and fall of related technologies and IT paradigms. As the title implies, much focus of this book is on providing the audience with practical, as well as, theoretical knowledge necessary to build a solid ground for a successful... 

Beginning Django: Web Application Development and Deployment with Python
Discover the Django web application framework and get started building Pythonbased web applications. This book takes you from the basics of Django all the way through to cuttingedge topics such as creating RESTful applications. Beginning Django also covers ancillary, but essential, development topics, including...   Introduction to Probability and Statistics Using R
This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three... More > semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors....   Python: Master the Art of Design Patterns
About This Book

Learn all about abstract design patterns and how to implement them in Python 3

Understand the structural, creational, and behavioral Python design patterns

Get to know the context and application of design patterns to solve realworld problems in software...




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