Data Crunching Solve Everyday Problems Using Java Python And More
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Data Crunching Solve Everyday Problems Using Java Python And More
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Author : Greg Wilson
language : en
Publisher:
Release Date : 2005-01-01
Data Crunching Solve Everyday Problems Using Java Python And More written by Greg Wilson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with categories.
This kind of data crunching may not be glamorous, but knowing how to do it effectively is essential to being a good programmer. This book describes the most useful data crunching techniques, explains when you should use them, and shows how they will make your life easier. Along the way, it will introduce you to some handy, but underused, features of Java, Python, and other languages. It will also show you how to test data crunching programs and how data crunching fits into the larger software development picture.
Introducing Python
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Author : Bill Lubanovic
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-11-06
Introducing Python written by Bill Lubanovic and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-06 with Computers categories.
Easy to understand and fun to read, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you’ve learned. You’ll gain a strong foundation in the language, including best practices for testing, debugging, code reuse, and other development tips. This book also shows you how to use Python for applications in business, science, and the arts, using various Python tools and open source packages.
Visualizing Data
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Author : Ben Fry
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2008
Visualizing Data written by Ben Fry and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Provides information on the methods of visualizing data on the Web, along with example projects and code.
Discovering Modern C
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Author : Peter Gottschling
language : en
Publisher: Addison-Wesley Professional
Release Date : 2021-11-19
Discovering Modern C written by Peter Gottschling and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-19 with Computers categories.
Discovering Modern C++, Second Edition by Peter Gottschling is an intensive introduction that guides you smoothly to sophisticated approaches based on advanced features. Thoroughly updated for C++17 and C++20, this Second Edition introduces key concepts using examples from many technical problem domains, drawing on his extensive experience training professionals and teaching C++ to students of physics, math, and engineering. This book is designed to help you get started rapidly and then master increasingly robust features, from lambdas to expression templates. You will also learn how to take advantage of the powerful libraries available to C++ programmers: both the Standard Template Library (STL) and scientific libraries for arithmetic, linear algebra, differential equations, and graphs. In this Second Edition, Gottschling also presents thorough and expert coverage of multi-threading and variadic templates. Throughout, Gottschling demonstrates how to write clear and expressive software using object orientation, generics, metaprogramming, and procedural techniques. By the time you are finished, you will have mastered all the abstractions you need to write C++ programs with exceptional quality and performance.
Data Crunching
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Author : Greg Wilson
language : en
Publisher:
Release Date : 2005
Data Crunching written by Greg Wilson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Every day, all around the world, programmers have to recycle legacy data, translate from one vendor's proprietary format into another's, check that configuration files are internally consistent, and search through web logs to see how many people have downloaded the latest release of their product. This kind of "data crunching," may not be glamorous, but knowing how to do it efficiently is essential to being a good programmer. This book describes the most useful data crunching techniques, explains when you should use them, and shows how they will make your life easier. Along the way, it will introduce you to some handy, but under-used, features of Java, Python, and other languages. It will also show you how to test data crunching programs, and how data crunching fits into the larger software development picture.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2005
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Bibliography, National categories.
Programming For Data Science
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Author : Erick Thompson
language : en
Publisher:
Release Date : 2020-10-28
Programming For Data Science written by Erick Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with categories.
Do you want to master the era of data economy? Do you want to learn the top programming languages for data science? If yes, then keep reading! One of the core elements of economic growth in the twenty-first century is the data economy. We are all required to educate ourselves about a paradigm that represents only the very beginning of a genuine industrial revolution, this time driven by data. Data we generate, store, share, analyze, data that describes us, pinpoints where we are, reveals our tastes and preferences, our opinions and also those of our network of family and friends. Data has become a crucial input for any economic process. There is more data being produced daily these days than there was ever produced in even the past centuries! In such a scenario, Data Science is obviously a very popular field as it is important to analyze and process this data to obtain useful insights. According to an IBM report published on Forbes, data science has been ranked the best job in tech for the last 3 years. But in order to be able to assess and analyze the data gathered, you need the best data science tools and skills. In this beginners and practical guide, you are going to learn the best programming language for data science in 2020, the mostly used by other data scientists and that employers are constantly looking. This is a complete guide, with 4 Books in 1: Python crash course Python for data analysis Java programming for beginners SQL for beginners Python is one of the best programming languages for data science because of its capacity for statistical analysis, data modeling, and easy readability. Another reason for this huge success of Python in Data Science is its extensive library support for data science and analytics. There are many Python libraries that contain a host of functions, tools, and methods to manage and analyze data. Each of these libraries has a particular focus with some libraries managing image and textual data, data mining, neural networks, data visualization, and so on. Java is one of the oldest languages used for enterprise development. Most of the popular Big Data frameworks/tools on the likes of Spark, Flink, Hive, Spark and Hadoop are written in Java. It has a great number of libraries and tools for Machine Learning and Data Science. Some of them being to solve most of your ML or data science problems. SQL is a language specifically created for managing and retrieving the data stored in a relational database management system. This language is extremely important for data science as it deals primarily with data. The main role of data scientists is to convert the data into actionable insights and so they need SQL to retrieve the data to and from the database when required. There are many popular SQL databases that data scientists can use such as SQLite, MySQL, Oracle and Microsoft SQL Server. BigQuery, in particular, is a data warehouse that can manage data analysis over petabytes of data and enable super fats SQL queries. Each of these languages come with their benefits, often offering better and faster results when compared with others. The domain of Data Science is exceedingly vast and can often demand a different set of tools for various tasks. Equipping yourself with more than one programming language can guarantee to help you overcome unique challenges while dealing with the data. If you are a budding Data Scientist, you should start with the programming languages mentioned above as they are the most in-demand languages right now. Ready to get started? Click the BUY NOW button!
Dr Dobb S Journal
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Author :
language : en
Publisher:
Release Date : 2006
Dr Dobb S Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Application software categories.
Xslt Cookbook
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Author : Sal Mangano
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2006
Xslt Cookbook written by Sal Mangano and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.
Presents a collection of detailed code recipes that breaks down everyday XSLT problems into manageable chunks. This work enables you learn how to transform XML documents into PDF files, SVG files, and HTML documents.
Understanding Unix Linux Programming
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Author : Bruce Molay
language : en
Publisher: Pearson
Release Date : 2003
Understanding Unix Linux Programming written by Bruce Molay and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Compuer programming categories.
An accessible, yet comprehensive text that clearly explains Unix programming and structuring by addressing the fundamentals of Unix and providing alternative solutions to problems in concrete terms.