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 Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This revision is fully updated with new content on social media data analysis, image ... |  |  A Comprehensive Introduction to Object-Oriented Programming with Java
This book is an in-depth introduction to object-oriented programming using
the Java programming language. In addition to covering traditional topics for a CS1
course, some of the more advanced topics such as recursion and linked lists are included
to provide a comprehensive coverage of beginning to intermediate-level materials.
There... |  |  Introduction to MATLAB for Engineers
Formerly used mainly by specialists in signal processing and numerical
analysis, MATLAB® in recent years has achieved widespread and enthusiastic
acceptance throughout the engineering community. Many engineering
schools now require a course based entirely or in part on MATLAB early in
the curriculum. MATLAB is programmable and has... |
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 Introduction to Embedded Systems: Interfacing to the Freescale 9S12
Embedded computer systems are electronic systems that include a microcomputer to perform
specific dedicated tasks. The computer is hidden inside these products. Embedded
systems are ubiquitous. Every week millions of tiny computer chips come pouring out
of factories like Freescale, Microchip, Philips, Texas Instruments, Silicon Labs,... |  |  Mobile Opportunistic Networks: Architectures, Protocols and Applications
The widespread availability of mobile devices coupled with recent advancements in networking capabilities make opportunistic networks one of the most promising technologies for next-generation mobile applications. Are you ready to make your mark?
Featuring the contributions of prominent researchers from academia and industry,... |  |  Algorithms Sequential and Parallel: A Unified Approach
A major thrust of computer science is the design, analysis, implementation, and scicntific
evaluation of algorithms to solve critical problems. In addition, new challenges are being
offered to computer scientists in the field of computational science and engineering, which
includes challenging problems in computational biology,... |
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