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  Browse All Reviews > Software (D) > Programming Languages (D.3) > Language Classifications (D.3.2) > Python (D.3.2...)  
 
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  1-10 of 96 Reviews about "Python (D.3.2...)": Date Reviewed
  Introduction to data science: a Python approach to concepts, techniques and applications
Igual L., SeguĂ­ S.,  Springer International Publishing, New York, NY, 2017. 218 pp. Type: Book (978-3-319500-16-4)

Data science is an emerging discipline spurred by the need to extract meaningful information and gain insights from large amounts of complex data. Data science encompasses many areas from mathematics, statistics, and information and computer scien...

Dec 6 2017
  Python for graph and network analysis
Al-Taie M., Kadry S.,  Springer International Publishing, New York, NY, 2017. 203 pp. Type: Book (978-3-319530-03-1)

Python for graph and network analysis is a short monograph (200 pages) in the “Advanced Information and Knowledge Processing” series. It is composed of eight chapters and two short appendices. It is described as suitable for cou...

Nov 6 2017
   Mastering machine learning with Python in six steps: a practical implementation guide to predictive data analytics using Python
Swamynathan M.,  Apress, New York, NY, 2017. 358 pp. Type: Book (978-1-484228-65-4)

In 1969, there was a humorous film in theaters called If It’s Tuesday, This Must Be Belgium. It was about a group of American tourists taking an 18-day guided tour of nine European countries. The premise was so compelling that the mov...

Oct 18 2017
  Advanced machine learning with Python
Hearty J.,  Packt Publishing, Birmingham, UK, 2016. 278 pp. Type: Book (978-1-784398-63-7)

Machine learning and deep learning are two research areas that have created excitement and interest in many application domains. By using Python as the implementation medium, and by releasing most of the initial example set as an accompanying reso...

Sep 22 2017
  Introduction to computing and programming in Python (4th ed.)
Guzdial M., Ericson B.,  Pearson, New York, NY, 2015. 528 pp. Type: Book (978-0-134025-54-4)

Finding a topic to motivate students to want to learn to program is a challenge for any programming teacher. The media computation class at Georgia Institute of Technology was developed to provide that motivation for the general student population...

Sep 21 2017
  Python unit test automation: practical techniques for Python developers and testers
Pajankar A.,  Apress, New York, NY, 2017. 111 pp. Type: Book (978-1-484226-76-6)

Automated unit testing is a crucial part of the agile and DevOps approaches to software creation and deployment. The ability to get code into production with great regularity (companies good at this may deploy code into production hundreds or thou...

Aug 31 2017
  Python and Matplotlib essentials for scientists and engineers
Wood M.,  Morgan and Claypool Publishers, San Rafael, CA, 2015.Type: Book (9781627056199)

The ever-growing number of mathematics, science, and graphics libraries available to Python makes it an attractive environment for interactive data analysis and visualization. As a result, the number of scientists and engineers who have enthusiast...

Jul 14 2017
  A primer on scientific programming with Python (5th ed.)
Langtangen H.,  Springer International Publishing, New York, NY, 2016. 922 pp. Type: Book

In this exploration of programming fundamentals through the lens of scientific concepts, rather than explaining programming in a theoretical way, the authors have made a very concerted effort to describe Python in a very easy, flowing way with man...

May 1 2017
  Programming for computations - Python: a gentle introduction to numerical simulations with Python
Linge S., Langtangen H.,  Springer International Publishing, New York, NY, 2016. 232 pp. Type: Book (978-3-319324-27-2)

Python is widely used in computational science, numerical methods, and scientific programming courses and in computer science. There are many good textbooks available for such courses, but none quite like this one....

Feb 9 2017
  Learn to program with Python
Kalb I.,  Apress, New York, NY, 2016. 263 pp. Type: Book (978-1-484218-68-6)

Since I have already learned how to program (almost 60 years ago), I thought that reading this book would be a good way to learn Python. I’m rather disappointed....

Feb 8 2017
 
 
 
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