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Cracking the Coding Interview: 189 Programming Questions and Solutions

By Gayle Laakmann McDowell

CareerCup
Released: 2015-07-01
Paperback (687 pages)

Cracking the Coding Interview: 189 Programming Questions and Solutions
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I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to whip up brilliant algorithms on the spot and then write flawless code on a whiteboard. I've been through this as a candidate and as an interviewer.

Cracking the Coding Interview, 6th Edition is here to help you through this process, teaching you what you need to know and enabling you to perform at your very best. I've coached and interviewed hundreds of software engineers. The result is this book.

Learn how to uncover the hints and hidden details in a question, discover how to break down a problem into manageable chunks, develop techniques to unstick yourself when stuck, learn (or re-learn) core computer science concepts, and practice on 189 interview questions and solutions.

These interview questions are real; they are not pulled out of computer science textbooks. They reflect what's truly being asked at the top companies, so that you can be as prepared as possible. WHAT'S INSIDE?
  • 189 programming interview questions, ranging from the basics to the trickiest algorithm problems.
  • A walk-through of how to derive each solution, so that you can learn how to get there yourself.
  • Hints on how to solve each of the 189 questions, just like what you would get in a real interview.
  • Five proven strategies to tackle algorithm questions, so that you can solve questions you haven't seen.
  • Extensive coverage of essential topics, such as big O time, data structures, and core algorithms.
  • A behind the scenes look at how top companies like Google and Facebook hire developers.
  • Techniques to prepare for and ace the soft side of the interview: behavioral questions.
  • For interviewers and companies: details on what makes a good interview question and hiring process.

The Four: The Hidden DNA of Amazon, Apple, Facebook, and Google

By Scott Galloway

Portfolio
Released: 2017-10-03
Hardcover (320 pages)

The Four: The Hidden DNA of Amazon, Apple, Facebook, and Google
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Product Description:
NEW YORK TIMES BESTSELLER
USA TODAY 
BESTSELLER


Amazon, Apple, Facebook, and Google are the four most influential companies on the planet. Just about everyone thinks they know how they got there. Just about everyone is wrong. 

For all that’s been written about the Four over the last two decades, no one has captured their power and staggering success as insightfully as Scott Galloway.

Instead of buying the myths these compa­nies broadcast, Galloway asks fundamental questions. How did the Four infiltrate our lives so completely that they’re almost impossible to avoid (or boycott)? Why does the stock market forgive them for sins that would destroy other firms? And as they race to become the world’s first trillion-dollar company, can anyone chal­lenge them?

In the same irreverent style that has made him one of the world’s most celebrated business professors, Galloway deconstructs the strategies of the Four that lurk beneath their shiny veneers. He shows how they manipulate the fundamental emotional needs that have driven us since our ancestors lived in caves, at a speed and scope others can’t match. And he reveals how you can apply the lessons of their ascent to your own business or career.

Whether you want to compete with them, do business with them, or simply live in the world they dominate, you need to understand the Four.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

By Aurélien Géron

O Reilly Media
Paperback (568 pages)

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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  • O Reilly Media
Product Description:

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.

  • Explore the machine learning landscape, particularly neural nets
  • Use scikit-learn to track an example machine-learning project end-to-end
  • Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
  • Use the TensorFlow library to build and train neural nets
  • Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
  • Learn techniques for training and scaling deep neural nets
  • Apply practical code examples without acquiring excessive machine learning theory or algorithm details

Deep Learning (Adaptive Computation and Machine Learning series)

By Ian Goodfellow & Aaron Courville

The MIT Press
Hardcover (800 pages)

Deep Learning (Adaptive Computation and Machine Learning series)
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  • The MIT Press
Product Description:

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.

Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Life 3.0: Being Human in the Age of Artificial Intelligence

By Max Tegmark

Knopf
Released: 2017-08-29
Hardcover (384 pages)

Life 3.0: Being Human in the Age of Artificial Intelligence
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New York Times Best Seller

How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.

 
How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle?
 
What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Exams 220-901 & 220-902)

By Mike Meyers

Meyers Mike
Hardcover (1632 pages)

CompTIA A+ Certification All-in-One Exam Guide, Ninth Edition (Exams 220-901 & 220-902)
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  • Comptia A Certification All In One Exam Guide Exams 220 901 220 902
Product Description:

This bestselling on-the-job reference and test preparation guide has been fully revised for the new 2015 CompTIA A+ exam objectives for exams 901 & 902

Written by the leading authority on CompTIA A+ certification and training, this self-study book and CD has been thoroughly updated to cover 100% of the exam objectives on the 2015 CompTIA A+ exams. New topics include managing and maintaining cellular devices, including tablets; configuring operating systems, including Windows 8, Android, and iOS; and enhanced, mobile-centered security and troubleshooting procedures. The All-in-One Exam Guide enables you to take the test with complete confidence. It also serves as a practical reference for IT support and technical personnel.

Electronic content includes:

  • Practice exams download for both exam 901 and 902 with hundreds of accurate practice exam questions
  • More than an hour of online video training featuring Mike Meyers
  • Online performance-based simulations that prepare you for the performance-based exam questions
  • A link to Mike's favorite PC tools
  • A PDF copy of the book

Key Features:

  • Written with the “in the trenches” voice and clarity Mike Meyers is known for
  • Features pre-assessment tests, exam tips, and “Try This!” sections to reinforce difficult topics
  • Includes a coupon for 10% off of the exam fee, a $37 value

Clean Architecture: A Craftsman's Guide to Software Structure and Design (Robert C. Martin Series)

By Robert C. Martin

Prentice Hall
Paperback (432 pages)

Clean Architecture: A Craftsman s Guide to Software Structure and Design (Robert C. Martin Series)
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Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”)

 

By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them.

 

Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face—the ones that will make or break your projects.

  • Learn what software architects need to achieve—and core disciplines and practices for achieving it
  • Master essential software design principles for addressing function, component separation, and data management
  • See how programming paradigms impose discipline by restricting what developers can do
  • Understand what’s critically important and what’s merely a “detail”
  • Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications
  • Define appropriate boundaries and layers, and organize components and services
  • See why designs and architectures go wrong, and how to prevent (or fix) these failures

Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager—and for every programmer who must execute someone else’s designs.


Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

By Martin Kleppmann

O'Reilly Media
Paperback (614 pages)

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?

In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

  • Peer under the hood of the systems you already use, and learn how to use and operate them more effectively
  • Make informed decisions by identifying the strengths and weaknesses of different tools
  • Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
  • Understand the distributed systems research upon which modern databases are built
  • Peek behind the scenes of major online services, and learn from their architectures

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

By Eric Matthes

No Starch Press
Released: 2015-11-01
Paperback (560 pages)

Python Crash Course: A Hands-On, Project-Based Introduction to Programming
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  • No Starch Press
Product Description:
Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.

In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects: a Space Invaders–inspired arcade game, data visualizations with Python’s super-handy libraries, and a simple web app you can deploy online.

As you work through Python Crash Course you’ll learn how to:
–Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal
–Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses
–Work with data to generate interactive visualizations
–Create and customize Web apps and deploy them safely online
–Deal with mistakes and errors so you can solve your own programming problems


If you’ve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!

Uses Python 2 and 3



 
 



   

 
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