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Jump Start Node.js
One of the difficulties I had when trying to learn Node.js was how to get started.
The references that I found either dealed with quasi-academic topics such as datagrams
and event emitters, or else myopically focused on a topic without regard for
the big picture. This book takes you through the complete process of ... | | Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... | | Practical Machine Learning
About This Book
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Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
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Comprehensive practical solutions taking you into the future of machine learning
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Go a step further and integrate your machine learning projects with
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Gray Hat Hacking The Ethical Hackers Handbook, 3rd Edition
This book has been developed by and for security professionals who are dedicated to working in an ethical and responsible manner to improve the overall security posture of individuals, corporations, and nations.
THE LATEST STRATEGIES FOR UNCOVERING TODAY'S MOST DEVASTATING ATTACKS
Thwart malicious network intrusion... | | Fundamentals of Python: From First Programs through Data Structures
Welcome to Fundamentals of Python. This text is intended for a complete, firstyear
study of programming and problem-solving. It covers the material taught in
typical Computer Science 1 and Computer Science 2 courses (CS1 and CS2) at
the undergraduate level.
In FUNDAMENTALS OF PYTHON: FROM FIRST PROGRAMS THROUGH DATA... | | |
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Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class 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,... | | IronPython in ActionIn 2005, Microsoft quietly announced an initiative to bring dynamic languages to the .NET platform. The starting point for this project was a .NET implementation of Python, dubbed IronPython. After a couple years of incubation, IronPython is ready for real-world use. It blends the simplicity, elegance, and dynamism of Python with the power of the... | | Robot Framework Test Automation
Create test suites and automated acceptance tests from scratch
Overview
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Create a Robot Framework test file and a test suite
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Identify and differentiate between different test case writing styles
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Full of easy- to- follow steps, to get you started with Robot Framework
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