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| | Python Data Analysis Cookbook
Key Features
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Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
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Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
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Authored by Ivan Idris, expert in python programming and proud
... | | Mastering Julia
Key Features
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Build statistical models with linear regression and analysis of variance (ANOVA)
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Create your own modules and contribute to the Julia package system
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Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization
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Foundations of Computing
It may sound surprising that in computing, a field which develops so fast that the future often becomes the past without having been the present, there is nothing more stable and worthwhile learning than its foundations.
It may sound less surprising that in a field with such a revolutionary methodological impact on all sciences and... | | Parallel Programming with Intel Parallel Studio XE (Wrox Programmer to Programmer)
Nearly all the computers sold today have a multi-core processor, but only a small number of applications are written to take advantage of the extra cores. Most programmers are playing catch-up. A recent consultation with a group of senior programming engineers revealed the top three hurdles in adopting parallelism: the challenges of porting... | | Ansible: Up and Running
Among the many configuration management tools available, Ansible has some distinct advantages—it’s minimal in nature, you don’t need to install anything on your nodes, and it has an easy learning curve. This practical guide shows you how to be productive with this tool quickly, whether you’re a developer... |
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