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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Python for the Busy Java Developer: The Language, Syntax, and Ecosystem Kindle Edition by Deepak Sarda (Author)

Are you a seasoned Java developer who wishes to learn Python? Perhaps you’ve just joined a project where a chunk of system integration code is written in Python. Or maybe you need to implement a report generation module in the next sprint and your colleague mentioned that Python would be the perfect tool for the job. In any case, if you are in a situation where you have to pick up the Python programming language overnight, this book is just for you! 

Hit the ground running and gain a fast-paced overview of what the Python language is all about, the syntax that it uses and the ecosystem of libraries and tools that surround the language. This concise book doesn’t spend time on details from an introductory programming course or document every single Python feature. Instead, Python for the Busy Java Developer is designed for experienced Java developers to obtain sufficient familiarity with the language and dive into coding, quickly.

What You'll Learn

• Discover the fundamentals of the core Python language and how they compare to Java
• Understand Python syntax and the differences between Python 2.x and 3.x
• Explore the Python ecosystem, its standard libraries, and how to implement them

Who This Book Is For

Working programmers who are comfortable with Java or another object-oriented programming language such as C#

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Python for the Busy Java Developer: The Language, Syntax, and Ecosystem 

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Python for the Busy Java Developer: The Language, Syntax, and Ecosystem 

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Website Scraping with Python: Using BeautifulSoup and Scrapy Kindle Edition by Gábor László Hajba

Closely examine website scraping and data processing: the technique of extracting data from websites in a format suitable for further analysis. You'll review which tools to use, and compare their features and efficiency. Focusing on BeautifulSoup4 and Scrapy, this concise, focused book highlights common problems and suggests solutions that readers can implement on their own.

Website Scraping with Python starts by introducing and installing the scraping tools and explaining the features of the full application that readers will build throughout the book. You'll see how to use BeautifulSoup4 and Scrapy individually or together to achieve the desired results. Because many sites use JavaScript, you'll also employ Selenium with a browser emulator to render these sites and make them ready for scraping.

By the end of this book, you'll have a complete scraping application to use and rewrite to suit your needs. As a bonus, the author shows you options of how to deploy your spiders into the Cloud to leverage your computer from long-running scraping tasks.

What You'll Learn

• Install and implement scraping tools individually and together
• Run spiders to crawl websites for data from the cloud
• Work with emulators and drivers to extract data from scripted sites

Who This Book Is For

Readers with some previous Python and software development experience, and an interest in website scraping.

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Website Scraping with Python: Using BeautifulSoup and Scrapy Kindle Edition by Gábor László Hajba 

 

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Website Scraping with Python: Using BeautifulSoup and Scrapy Kindle Edition by Gábor László Hajba 

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Deep Learning with Python Paperback – Import, 30 Nov 2017 by Francois Chollet

Deep learning is applicable to a widening range of artificial
intelligence problems, such as image classification, speech recognition,
text classification, question answering, text-to-speech, and optical
character recognition.

Deep Learning with Python is structured around a series of practical
code examples that illustrate each new concept introduced and
demonstrate best practices. By the time you reach the end of this book,
you will have become a Keras expert and will be able to apply deep
learning in your own projects.

KEY FEATURES

• Practical code examples
• In-depth introduction to Keras
• Teaches the difference between Deep Learning and AI

ABOUT THE TECHNOLOGY
Deep learning is the technology behind photo tagging systems at
Facebook and Google, self-driving cars, speech recognition systems on
your smartphone, and much more.

AUTHOR BIO
Francois Chollet is the author of Keras, one of the most widely used
libraries for deep learning in Python. He has been working with deep neural
networks since 2012. Francois is currently doing deep learning research at
Google. He blogs about deep learning at blog.keras.io.

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Deep Learning with Python Paperback – Import, 30 Nov 2017 by Francois Chollet  

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Deep Learning with Python Paperback – Import, 30 Nov 2017 by Francois Chollet 

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