Learn IT - Books tags scientific

Python Graphics: A Reference for Creating 2D and 3D Images

Apress, 2018

Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose.

Starting with the essential Python functions to set up a...

Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation

Apress, 2017

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for...

Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Packt Publishing, 2018

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

Cover all fundamental libraries for operation and manipulation of Python for data analysis

Implement real-world datasets to perform predictive analytics with Python

...

Big Data Analytics with Hadoop 3: Build highly effective analytics solutions to gain valuable insight into your big data

Packt Publishing, 2018

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Key Features

Learn Hadoop 3 to build effective big data analytics solutions on-premise and on cloud

Integrate Hadoop with other big data tools such as R, Python, Apache...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Robustness and Complex Data Structures

Springer, 2013

Our journey towards this Festschrift started when realizing that our teacher, mentor, and friend Ursula Gather was going to celebrate her 60th birthday soon. As a researcher, lecturer, scientific advisor, board member, reviewer, editor, Ursula has had a wide impact...

Linear Algebra and Probability for Computer Science Applications

CRC Press, 2012

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Computer Science in Perspective: Essays Dedicated to Thomas Ottmann (Lecture Notes in Computer Science)

Springer, 2003

By presenting state-of-the-art aspects of theoretical computer science and practical applications in various fields, this book commemorates the 60th birthday of Thomas Ottmann.

The 26 research papers presented span the whole range of Thomas Ottmann's scientific career, from formal languages to algorithms and data...

3D Imaging in Medicine: Algorithms, Systems, Applications (Nato ASI Subseries F:)

Springer, 2011

The visualization of human anatomy for diagnostic, therapeutic, and educational pur poses has long been a challenge for scientists and artists. In vivo medical imaging could not be introduced until the discovery of X-rays by Wilhelm Conrad ROntgen in 1895. With the early medical imaging techniques which are still in use today, the...

Algorithms and Data Structures for External Memory (Foundations and Trends(r) in Theoretical Computer Science)

Now Publishers, 2008

Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. Algorithms and Data Structures for External Memory surveys the state of...

From Semantics to Computer Science: Essays in Honour of Gilles Kahn

Cambridge University Press, 2009

Gilles Kahn was one of the most influential figures in the development of computer science and information technology, not only in Europe but throughout the world. This volume of articles by several leading computer scientists serves as a fitting memorial to Kahn's achievements and reflects the broad range of subjects to which he contributed...

Mastering .NET Machine Learning

Packt Publishing, 2016

About This Book

Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0

Set up your business application to start using machine learning techniques

Familiarize the user with some of the more common .NET libraries for machine learning

Implement...

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