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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlo...
by Aurélien Géron

Language

English

Pages

851

Publication Date

September 05, 2019

Product Description
Customer Reviews
<p>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.</p><p>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.</p><ul><li>Explore the machine learning landscape, particularly neural nets</li><li>Use Scikit-Learn to track an example machine-learning project end-to-end</li><li>Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods</li><li>Use the TensorFlow library to build and train neural nets</li><li>Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning</li><li>Learn techniques for training and scaling deep neural nets</li></ul>
Python Crash Course, 2nd Edition: A Hands-On, Project-Based Intro...
by Eric Matthes

Language

English

Pages

544

Publication Date

May 21, 2019

Product Description
Customer Reviews
<b>Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects.</b><br /><br />This is the second edition of the best selling Python book in the world. <i>Python Crash Course, 2nd Edition</i> is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways. <br /><br />Readers will learn how to create a simple video game, use data visualization techniques to make graphs and charts, and build and deploy an interactive web application. <i>Python Crash Course, 2nd Edition</i> teaches beginners the essentials of Python quickly so that they can build practical programs and develop powerful programming techniques.
Accelerate: The Science of Lean Software and DevOps: Building and...
by , Gene Kim

Language

English

Pages

288

Publication Date

March 27, 2018

Product Description
Customer Reviews
<strong>Accelerate your organization to win in the marketplace.</strong><br />How can we apply technology to drive business value? For years, we've been told that the performance of software delivery teams doesn't matter―that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance―and what drives it―using rigorous statistical methods. This book presents both the findings and the science behind that research, making the information accessible for readers to apply in their own organizations.<br />Readers will discover how to measure the performance of their teams, and what capabilities they should invest in to drive higher performance. This book is ideal for management at every level.
Clean Code: A Handbook of Agile Software Craftsmanship (Robert C....
by Robert C. Martin

Language

English

Pages

464

Publication Date

August 01, 2008

Product Description
Customer Reviews
Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way.<br /> <br />Noted software expert Robert C. Martin presents a revolutionary paradigm with <i> <b>Clean Code: A Handbook of Agile Software Craftsmanship</b> </i>. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer–but only if you work at it.<br /> <br />What kind of work will you be doing? You’ll be reading code–lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft.<br /> <br /> <i> <b>Clean Code</b> </i> is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code–of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.<br /> <br />Readers will come away from this book understanding<br /> <ul> <li>How to tell the difference between good and bad code </li><li>How to write good code and how to transform bad code into good code </li><li>How to create good names, good functions, good objects, and good classes </li><li>How to format code for maximum readability </li><li>How to implement complete error handling without obscuring code logic </li><li>How to unit test and practice test-driven development</li> </ul>This book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.<br />
Cracking the PM Interview: How to Land a Product Manager Job in T...
by , Jackie Bavaro

Language

English

Pages

366

Publication Date

March 04, 2014

Product Description
Customer Reviews
How many pizzas are delivered in Manhattan? How do you design an alarm clock for the blind? What is your favorite piece of software and why? How would you launch a video rental service in India? This book will teach you how to answer these questions and more. <br /><br />Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named "PM" (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the PM interview questions (estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important "pitch").<br /><br /><br />CONTENTS:<br /><br />The Product Manager Role<br />What is a PM?<br />Functions of a PM<br />Top Myths about Product Management<br />Project Managers and Program Managers<br /><br />Companies<br />How the PM Role Varies<br />Google<br />Microsoft<br />Apple<br />Facebook<br />Amazon<br />Yahoo<br />Twitter<br />Startups <br /><br />Getting the Right Experience<br />New Grads<br />Making the Most of Career Fairs<br />Do you need an MBA?<br />Why Technical Experience Matters<br />Transitioning from Engineer to Product Manager<br />Transitioning from Designer to Product Manager<br />Transitioning from Other Roles<br />What Makes a Good Side Project? <br /><br />Career Advancement<br />Tips and Tricks for Career Advancement<br />Q & A: Fernando Delgado, Sr. Director, Product Management at Yahoo<br />Q & A: Ashley Carroll, Senior Director of Product Management, DocuSign<br />Q & A: Brandon Bray, Principal Group Program Manager, Microsoft<br />Q & A: Thomas Arend, International Product Lead, Airbnb<br />Q & A: Johanna Wright, VP at Google<br />Q & A: Lisa Kostova Ogata, VP of Product at Bright.com <br /><br />Behind the Interview Scenes<br />Google<br />Microsoft<br />Facebook<br />Apple<br />Amazon<br />Yahoo<br />Twitter <br />Dropbox <br /><br />Resumes<br />The 15 Second Rule<br />The Rules<br />Attributes of a Good PM Resume<br />What to Include <br /><br />Real Resumes: Before & After<br /><br />Cover Letters<br />Elements of a Good PM Cover Letter<br />The Cover Letter Template<br />A Great Cover Letter <br /><br />Company Research<br />The Product<br />The Strategy<br />The Culture<br />The Role<br />The Questions <br /><br />Define Yourself<br />"Tell Me About Yourself" (The Pitch)<br />"Why do you want to work here?"<br />"Why should we hire you?"<br />"Why are you leaving your current job?"<br />"What do you like to do in your spare time?"<br />"Where do you see yourself in five years?"<br />"What are your strengths and weaknesses?"<br />Sample Strengths and Weaknesses <br /><br />Behavioral Questions<br />Why These Questions Are Asked<br />Preparation<br />Follow-Up Questions<br />Types of Behavioral Questions <br /><br />Estimation Questions<br />Approach<br />Numbers Cheat Sheet<br />Tips and Tricks<br />Example Interview<br />Sample Questions <br /><br />Product Questions<br />About the Product Question<br />Type 1: Designing a Product<br />Type 2: Improving a Product<br />Type 3: Favorite Product<br />Preparation<br />Tips and Tricks<br />Sample Questions <br /><br />Case Questions<br />The Case Question: Consultants vs. PMs<br />What Interviewers Look For<br />Useful Frameworks<br />Product Metrics<br />Interview Questions <br /><br />Coding Questions<br />Who Needs To Code<br />What You Need To Know<br />How You Are Evaluated<br />How To Approach<br />Developing an Algorithm<br />Additional Questions & Solutions <br /><br />Appendix<br />Top 1% PMs vs. Top 10% PMs<br />Be a Great Product Leader<br />The Inputs to a Great Product Roadmap<br />How to Hire a Product Manager
The Manager's Path: A Guide for Tech Leaders Navigating Growth an...
by Camille Fournier

Language

English

Pages

246

Publication Date

March 13, 2017

Product Description
Customer Reviews
<p>Managing people is difficult wherever you work. But in the tech industry, where management is also a technical discipline, the learning curve can be brutal—especially when there are few tools, texts, and frameworks to help you. In this practical guide, author Camille Fournier (tech lead turned CTO) takes you through each stage in the journey from engineer to technical manager.</p><p>From mentoring interns to working with senior staff, you’ll get actionable advice for approaching various obstacles in your path. This book is ideal whether you’re a new manager, a mentor, or a more experienced leader looking for fresh advice. Pick up this book and learn how to become a better manager and leader in your organization.</p><ul><li>Begin by exploring what you expect from a manager</li><li>Understand what it takes to be a good mentor, and a good tech lead</li><li>Learn how to manage individual members while remaining focused on the entire team</li><li>Understand how to manage yourself and avoid common pitfalls that challenge many leaders</li><li>Manage multiple teams and learn how to manage managers</li><li>Learn how to build and bootstrap a unifying culture in teams</li></ul>
The Pragmatic Programmer: your journey to mastery, 20th Anniversa...
by , Andrew Hunt

Language

English

Pages

352

Publication Date

July 30, 2019

Product Description
Customer Reviews
“One of the most significant books in my life.” <i>–Obie Fernandez, Author, </i>The Rails Way<br /> <br />“Twenty years ago, the first edition of The Pragmatic Programmer completely changed the trajectory of my career. This new edition could do the same for yours.” <i>–Mike Cohn, Author of </i>Succeeding with Agile<i>,</i> Agile Estimating and Planning<i>, and</i> User Stories Applied<br /> <br />“. . . filled with practical advice, both technical and professional, that will serve you and your projects well for years to come.” <i>–Andrea Goulet, CEO, Corgibytes, Founder, LegacyCode.Rocks</i> <br /> <br />“. . . lightning does strike twice, and this book is proof.” <i>–VM (Vicky) Brasseur, Director of Open Source Strategy, Juniper Networks</i> <br /> <i> <b>The Pragmatic Programmer</b> </i> is one of those rare tech books you’ll read, re-read, and read again over the years. Whether you’re new to the field or an experienced practitioner, you’ll come away with fresh insights each and every time.<br /> <br />Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development, independent of any particular language, framework, or methodology, and the Pragmatic philosophy has spawned hundreds of books, screencasts, and audio books, as well as thousands of careers and success stories.<br /> <br />Now, twenty years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse. Read this book, and you’ll learn how to:<br /> <ul> <li>Fight software rot</li> <li>Learn continuously</li> <li>Avoid the trap of duplicating knowledge</li> <li>Write flexible, dynamic, and adaptable code</li> <li>Harness the power of basic tools</li> <li>Avoid programming by coincidence</li> <li>Learn real requirements</li> <li>Solve the underlying problems of concurrent code</li> <li>Guard against security vulnerabilities</li> <li>Build teams of Pragmatic Programmers</li> <li>Take responsibility for your work and career</li> <li>Test ruthlessly and effectively, including property-based testing</li> <li>Implement the Pragmatic Starter Kit</li> <li>Delight your users</li> </ul>Written as a series of self-contained sections and filled with classic and fresh anecdotes, thoughtful examples, and interesting analogies, <i> <b>The Pragmatic Programmer</b> </i> illustrates the best approaches and major pitfalls of many different aspects of software development. Whether you’re a new coder, an experienced programmer, or a manager responsible for software projects, use these lessons daily, and you’ll quickly see improvements in personal productivity, accuracy, and job satisfaction. You’ll learn skills and develop habits and attitudes that form the foundation for long-term success in your career.<br /> <br />You’ll become a Pragmatic Programmer.<br /> <br /> <i>Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.</i>
Data Science from Scratch: First Principles with Python
by Joel Grus

Language

English

Pages

408

Publication Date

April 12, 2019

Product Description
Customer Reviews
<p>To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.</p><p>If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data.</p><ul><li>Get a crash course in Python</li><li>Learn the basics of linear algebra, statistics, and probability—and how and when they’re used in data science</li><li>Collect, explore, clean, munge, and manipulate data</li><li>Dive into the fundamentals of machine learning</li><li>Implement models such as k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, and clustering</li><li>Explore recommender systems, natural language processing, network analysis, MapReduce, and databases</li></ul>
Python Tricks: A Buffet of Awesome Python Features
by Dan Bader

Language

English

Pages

303

Publication Date

December 06, 2017

Product Description
Customer Reviews
<p><strong>“I don’t even feel like I’ve scratched the surface of what I can do with Python”</strong></p><p>With <em>Python Tricks: The Book</em> you’ll discover Python’s best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative.</p><p>You'll get one step closer to mastering Python, so you can write beautiful and idiomatic code that comes to you naturally.</p><p>Learning the ins and outs of Python is difficult—and with this book you'll be able to focus on the practical skills that really matter. Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today.</p><p><strong>Who Should Read This Book:</strong></p><br /><ul><li><em>If you’re wondering which lesser known parts in Python you should know about</em>, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review.</li><li><em>If you’ve got experience with legacy versions of Python</em>, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2.</li><li><em>If you’ve worked with other programming languages and you want to get up to speed with Python</em>, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista.</li><li><em>If you want to make Python your own and learn how to write clean and Pythonic code</em>, you’ll discover best practices and little-known tricks to round out your knowledge.</li></ul><br /><p><strong>What Python Developers Say About The Book:</strong></p><p><em>"I kept thinking that I wished I had access to a book like this when I started learning Python many years ago."</em> — Mariatta Wijaya, Python Core Developer</p><p><em>"This book makes you write better Python code!"</em> — Bob Belderbos, Software Developer at Oracle</p><p><em>"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty."</em> — Ben Felder, Pythonista</p><p><em>"It's like having a seasoned tutor explaining, well, tricks!"</em> — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.</p>
Database Internals: A Deep Dive into How Distributed Data Systems...
by Alex Petrov

Language

English

Pages

376

Publication Date

September 13, 2019

Product Description
Customer Reviews
<p>When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.</p><p>Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.</p><p>This book examines:</p><ul><li><b>Storage engines:</b> Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each</li><li><b>Storage building blocks:</b> Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log</li><li><b>Distributed systems:</b> Learn step-by-step how nodes and processes connect and build complex communication patterns</li><li><b>Database clusters:</b> Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency</li></ul>

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