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Android™ Notes for Professionals book

Android™ Notes for Professionals book is compiled from Stack Overflow Documentation. (1301 pages, published on May 2018)

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R Packages

Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t perfect as long as the next version is better. This is where we are developing the 2nd edition of this book.

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SQL Notes for Professionals book

This SQL Notes for Professionals book is compiled from Stack Overflow Documentation. (166 pages, published on May 2018)

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C++ Notes for Professionals book

C++ Notes for Professionals book is compiled from Stack Overflow Documentation,. 708 pages, published on May 2018

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Python for Everybody: Exploring Data in Python 3

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. (Dr. Charles R. Severance)

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JavaScript® Notes for Professionals book

This JavaScript® Notes for Professionals book is compiled from Stack Overflow Documentation. (490 pages, published on June 2018)

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Java® Notes for Professionals book

This Java® Notes for Professionals book is compiled from Stack Overflow Documentation. (982 pages, published on June 2018)

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Learning Scala Language

Learning Scala Language eBook. (Stack Overflow Documentation).

Scala is a modern multi-paradigm programming language designed to express common programming patterns in a concise, elegant, and type-safe way. It smoothly integrates features of object-oriented and functional languages.

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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, Scikit-Learn, and other related tools.