Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, AnacondaKey Features-Use Anaconda to find solutions for clustering, classification, and linear regression-Analyze your data efficiently with the most powerful data science stack-Use the Anaconda cloud to store, share, and discover projects and librariesBook DescriptionAnaconda is an open source platform that brings together t...

"Raspberry Pi Programming Guide" is a text that gives the reader a bit of insight into this form of technology. It is European based and is just making a debut in North America so many are curious about it and what exactly this technology can do. The aim that the author has with this text is to highlight the main functions of Raspberry Pi and how it can be beneficial to the consumer in the long run. The text is extremely informative and to the point and it is simple to read. The great thin...

An easy-to-use guide, full of hands-on recipes for manipulating spatial data in a PostGIS database. Each topic is explained and placed in context, and for the more inquisitive, there are more details of the concepts used. If you are a web developer or a software architect, especially in location-based companies, and want to expand the range of techniques you are using with PostGIS, then this book is for you. You should have some prior experience with PostgreSQL database and spatial concept...

More physicists today are taking on the role of software developer as part of their research, but software development isnâ??t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. Youâ??ll learn how to u...

Ensure your code is sleek, efficient and elegant by mastering powerful Python design patternsAbout This BookLearn all about abstract design patterns and how to implement them in Python 3Understand the structural, creational, and behavioral Python design patternsGet to know the context and application of design patterns to solve real-world problems in software architecture, design, and application developmentDiscover how...

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automa...

Leverage the power of Python design patterns to solve real-world problems in software architecture and designKey Features\[\*\] Understand the structural, creational, and behavioral Python design patterns\[\*\] Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development\[\*\] Get practical exposure through sample implementations in Python v3.5 for the desi...

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building ...

Key FeaturesBook DescriptionIf you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.What you will learnAnalyze the matplotlib code base and its internalsRerender visualized data on the fly based on changes in the user interfaceTake adva...

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Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to perform machine learning at scal...

An example-rich, comprehensive guide for all of your Python computational needsKey Features\[\*\] Your ultimate resource for getting up and running with Python numerical computations\[\*\] Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules\[\*\] A hands-on guide to implementing mathematics with Python, with complete coverage of all the key conceptsBook DescriptionPython c...