Microsoft SQL Server 2008, Second Edition

Portable and precise, this pocket-sized guide delivers ready answers for administering SQL Server 2008. Zero in on core support and maintenance tasks using quick-reference tables, instructions, and lists. 

Also get fast facts to : Plan, deploy, and configure SQL Server 2008 Administer server and surface security, access, and network configuration Import, export, transform, and replicate data Manipulate schemas, tables, indexes, and views Automate maintenance and implement policy-based management Monitor server activity and tune performance Manage log shipping and database mirroringPerform backups and recovery

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Microsoft SQL Server 2008 Administrator's Pocket Consultant Paperback – 2009 by Stanek (Author), William R (Author) 

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Microsoft SQL Server 2008 Administrator's Pocket Consultant Paperback – 2009 by Stanek (Author), William R (Author)

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Domain-Specific Languages in R

Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. 

Along the way, you'll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. 

After reading and using this book, you'll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. What You'll Learn Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions Who This Book Is For Those with prior programming experience. R knowledge is helpful but not required.
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Domain-Specific Languages in R: Advanced Statistical Programming Paperback – Import, 22 Feb 2019 by Thomas Mailund 
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Domain-Specific Languages in R: Advanced Statistical Programming Paperback – Import, 22 Feb 2019 by Thomas Mailund 

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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. 

Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing.

By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. 

What You Will Learn

• Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more
• Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques.
• Identify machine learning and deep learning techniques for natural language processing and natural language generation problems

Who This Book Is For

Data scientists who want to refresh and learn various concepts of natural language processing through coding exercises. 

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Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python Paperback – Import, 30 Jan 2019 by Akshay Kulkarni (Author), Adarsha Shivananda (Author)

 

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Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python Paperback – Import, 30 Jan 2019 by Akshay Kulkarni (Author), Adarsha Shivananda (Author) 

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Learning Mobile App Development: A Hands-on Guide to Building Apps with iOS and Android

Now, one book can help you master mobile app development with both market-leading platforms: Apple’s iOS and Google’s Android. Perfect for both students and professionals, Learning Mobile App Development is the only tutorial with complete parallel coverage of both iOS and Android. With this guide, you can master either platform, or both—and gain a deeper understanding of the issues associated with developing mobile apps.

You’ll develop an actual working app on both iOS and Android, mastering the entire mobile app development lifecycle, from planning through licensing and distribution.

Each tutorial in this book has been carefully designed to support readers with widely varying backgrounds and has been extensively tested in live developer training courses. If you’re new to iOS, you’ll also find an easy, practical introduction to Objective-C, Apple’s native language.

All source code for this book, organized by chapter, is available at https://github.com/LearningMobile/BookApps

Coverage includes

• Understanding the unique design challenges associated with mobile apps
• Setting up your Android and iOS development environments
• Mastering Eclipse development tools for Android and Xcode 5 tools for iOS
• Designing interfaces and navigation schemes that leverage each platform’s power
• Reliably integrating persistent data into your apps
• Using lists (Android) or tables (iOS) to effectively present data to users
• Capturing device location, displaying it, and using it in your apps
• Accessing hardware devices and sensors
• Publishing custom apps internally within an organization
• Monetizing your apps on Apple’s AppStore or the Google Play marketplace, as well as other ways of profiting from app development, such as consulting and developer jobs 
   
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  Learning Mobile App Development: A Hands-on Guide to Building Apps with iOS and Android Paperback – Import, 19 Dec 2013 by Jakob Iversen 
  
  
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  Learning Mobile App Development: A Hands-on Guide to Building Apps with iOS and Android Paperback – Import, 19 Dec 2013 by Jakob Iversen
   
  
  

  

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Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More

An indispensable collection of practical tips and real-world advice for tackling common Python problems and taking your code to the next level. Features interviews with high-profile Python developers who share their tips, tricks, best practices, and real-world advice gleaned from years of experience.

Sharpen your Python skills as you dive deep into the Python programming language with Serious Python. You'll cover a range of advanced topics like multithreading and memorization, get advice from experts on things like designing APIs and dealing with databases, and learn Python internals to help you gain a deeper understanding of the language itself. Written for developers and experienced programmers, Serious Python brings together over 15 years of Python experience to teach you how to avoid common mistakes, write code more efficiently, and build better programs in less time.

As you make your way through the book's extensive tutorials, you'll learn how to start a project and tackle topics like versioning, layouts, coding style, and automated checks. You'll learn how to package your software for distribution, optimize performance, use the right data structures, define functions efficiently, pick the right libraries, build future-proof programs, and optimize your programs down to the bytecode. You'll also learn how to:

- Make and use effective decorators and methods, including abstract, static, and class methods
- Employ Python for functional programming using generators, pure functions, and functional functions
- Extend flake8 to work with the abstract syntax tree (AST) to introduce more sophisticated automatic checks into your programs
- Apply dynamic performance analysis to identify bottlenecks in your code
- Work with relational databases and effectively manage and stream data with PostgreSQL

If you've been looking for a way to take your Python skills from good to great, Serious Python will help you get there. Learn from the experts and get seriously good at Python with Serious Python!

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Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More Paperback – Import, 27 Dec 2018 by Julien Danjou 

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Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More Paperback – Import, 27 Dec 2018 by Julien Danjou 

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Cyber Security: Analytics, Technology and Automation (Intelligent Systems, Control and Automation: Science and Engineering

The book, in addition to the cyber threats and technology, processes cyber security from many sides as a social phenomenon and how the implementation of the cyber security strategy is carried out.

The book gives a profound idea of the most spoken phenomenon of this time. The book is suitable for a wide-ranging audience from graduate to professionals/practitioners and researchers. Relevant disciplines for the book are Telecommunications / Network security, Applied mathematics / Data analysis, Mobile systems / Security, Engineering / Security of critical infrastructure and Military science / Security.

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Cyber Security: Analytics, Technology and Automation (Intelligent Systems, Control and Automation: Science and Engineering Book 78) 

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Cyber Security: Analytics, Technology and Automation (Intelligent Systems, Control and Automation: Science and Engineering Book 78) 

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Learn Java the Easy Way : A Hands-On Introduction to Programming Kindle Edition by Bryson Payne

Java is the world’s most popular programming language, but it’s known for having a steep learning curve. Learn Java the Easy Way takes the chore out of learning Java with hands-on projects that will get you building real, functioning apps right away.

You’ll start by familiarizing yourself with JShell, Java’s interactive command line shell that allows programmers to run single lines of code and get immediate feedback. Then, you’ll create a guessing game, a secret message encoder, and a multitouch bubble-drawing app for both desktop and mobile devices using Eclipse, an industry-standard IDE, and Android Studio, the development environment for making Android apps.

As you build these apps, you’ll learn how to:
-Perform calculations, manipulate text strings, and generate random colors
-Use conditions, loops, and methods to make your programs responsive and concise
-Create functions to reuse code and save time
-Build graphical user interface (GUI) elements, including buttons, menus, pop-ups, and sliders 
-Take advantage of Eclipse and Android Studio features to debug your code and find, fix, and prevent common mistakes

If you’ve been thinking about learning Java, Learn Java the Easy Way will bring you up to speed in no time.

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Learn Java the Easy Way : A Hands-On Introduction to Programming 

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Learn Java the Easy Way : A Hands-On Introduction to Programming

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Classic Computer Science Problems in Python

Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means.

Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems

Key Features

·   Breadth-first and depth-first search algorithms

·   Constraints satisfaction problems

·   Common techniques for graphs

·   Adversarial Search

·   Neural networks and genetic algorithms

·   Written for data engineers and scientists with experience using Python.

For readers comfortable with the basics of Python

About the technology

Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer.

David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning’s Classic Computer Science Problemsin Swift.

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Classic Computer Science Problems in Python 

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Classic Computer Science Problems in Python 

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