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Algorithms Illuminated: Part 1: The Basics
by Tim Roughgarden

Language

English

Pages

Publication Date

September 26, 2017

Product Description
Customer Reviews
Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and database system implementation. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject---a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The exposition is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. <br /> Part 1 of the book series covers asymptotic analysis and big-O notation, divide-and-conquer algorithms and the master method, randomized algorithms, and several famous algorithms for sorting and selection.
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Conce...
by Aurélien Géron

Language

English

Pages

568

Publication Date

March 13, 2017

Product Description
Customer Reviews
<div><p><b>Graphics in this book are printed in black and white</b>.</p><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><li>Apply practical code examples without acquiring excessive machine learning theory or algorithm details</li></ul></div>
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and ...
by Wes McKinney

Language

English

Pages

544

Publication Date

September 25, 2017

Product Description
Customer Reviews
<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.</p><p>Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.</p><ul><li>Use the IPython shell and Jupyter notebook for exploratory computing</li><li>Learn basic and advanced features in NumPy (Numerical Python)</li><li>Get started with data analysis tools in the pandas library</li><li>Use flexible tools to load, clean, transform, merge, and reshape data</li><li>Create informative visualizations with matplotlib</li><li>Apply the pandas groupby facility to slice, dice, and summarize datasets</li><li>Analyze and manipulate regular and irregular time series data</li><li>Learn how to solve real-world data analysis problems with thorough, detailed examples</li></ul></div>
The Complete Software Developer's Career Guide: How to Learn Your...
by John Sonmez

Language

English

Pages

798

Publication Date

July 12, 2017

Product Description
Customer Reviews
<h2>Technical Knowledge Alone Isn't Enough - Increase Your Software Development Income by Leveling Up Your Soft Skills</h2> <p>Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough <strong>to break through to the next income level - developers need "soft skills"</strong> like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.</p> <p>As John invested in these skills his career took off, and he became a <strong>highly paid, highly sought-after developer and consultant</strong>.</p> <p>Today John helps more than 1.4 million programmers every year to increase their income by developing this unique blend of skills.</p> <p><em>"If you're a developer, green or a veteran, you owe it to yourself to read The Complete Software Developers Career Guide." - Jason Down, Platform Developer, Ontario, Canada</em></p> <h3>What You Will Learn in This Book</h3> <ul> <li>How to systematically find and fill the gaps in your technical knowledge so you can face any new challenge with confidence</li> <li>Should you take contract work - or hold out for a salaried position? Which will earn you more, what the tradeoffs are, and how your personality should sway your choice</li> <li>Should you learn JavaScript, C#, Python, C++? How to decide which programming language you should master first</li> <li>Ever notice how every job ever posted requires "3-5 years of experience," which you don't have? Simple solution for this frustrating chicken-and-egg problem that allows you to build legitimate job experience while you learn to code </li> <li>Is earning a computer science degree a necessity - or a total waste of time? How to get a college degree with maximum credibility and minimum debt</li> <li>Coding bootcamps - some are great, some are complete scams. How to tell the difference so you don't find yourself cheated out of $10,000</li> <li>Interviewer tells you, "Dress code is casual around here - the development team wears flipflops." What should you wear?</li> <li>How do you deal with a boss who's a micromanager. Plus how helping your manager with his goals can make you the MVP of your team </li> <li>The technical skills that every professional developer must have - but no one teaches you (most developers are missing some critical pieces, they don't teach this stuff in college, you're expected to just "know" this)</li> <li>An inside look at the recruiting industry. What that "friendly" recruiter really wants from you, how they get paid, and how to avoid getting pigeonholed into a job you'll hate</li> </ul> <h3>Who Should Read This Book</h3> <h4>Entry-Level Developers</h4> <p>This book will show you how to ensure you have the technical skills your future boss is looking for, create a resume that leaps off a hiring manager's desk, and escape the "no work experience" trap.</p> <h4>Mid-Career Developers</h4> <p>You'll see how to find and fill in gaps in your technical knowledge, position yourself as the one team member your boss can't live without, and turn those dreaded annual reviews into chance to make an iron-clad case for your salary bump.</p> <h4>Senior Developers</h4> <p>This book will show you how to become a specialist who can command above-market wages, how building a name for yourself can make opportunities come to you, and how to decide whether consulting or entrepreneurship are paths you should pursue. </p> <h4>Brand New Developers</h4> <p>In this book you'll discover what it's like to be a professional software developer, how to go from "I know some code" to possessing the skills to work on a development team, how to speed along your learning by avoiding common beginner traps, and how to decide whether you should invest in a programming degree or "bootcamp."</p>
The Manager's Path: A Guide for Tech Leaders Navigating Growth an...
by Camille Fournier

Language

English

Pages

244

Publication Date

March 13, 2017

Product Description
Customer Reviews
<div><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></div>
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
Building Evolutionary Architectures: Support Constant Change
by , Patrick Kua

Language

English

Pages

190

Publication Date

September 18, 2017

Product Description
Customer Reviews
<p>The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.</p>
Make Your Own Neural Network
by Tariq Rashid

Language

English

Pages

Publication Date

April 16, 2016

Product Description
Customer Reviews
A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. <br /><br />Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work.<br /><br />This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included.<br /><br />The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already!<br /><br />You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks.<br /><br />Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. <br /><br />Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. <br /><br />Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. <br /><br />All the code in this has been tested to work on a Raspberry Pi Zero.
The Self-Taught Programmer: The Definitive Guide to Programming P...
by Cory Althoff

Language

English

Pages

301

Publication Date

December 26, 2016

Product Description
Customer Reviews
I am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book.<br /><br />This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don't teach you. "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into six sections:<br /><br />1. Learn to program in Python 3 and build your first program.<br />2. Learn Object-oriented programming and create a powerful Python program to get you hooked.<br />3. Learn to use tools like Git, Bash, regular expressions and databases. Then use your new coding skills to build a web scraper.<br />4. Study Computer Science fundamentals like data structures and algorithms. <br />5. Learn to program for production: I cover the software development process, testing, and best coding practices.<br />6. Finish with tips for working with a team and landing a programming job.<br /><br />You CAN learn to program professionally. The path is there. Will you take it?
APP SECRETS: How To Create A Million Dollar App
by Sean Casto

Language

English

Pages

166

Publication Date

October 13, 2017

Product Description
Customer Reviews
Whether you’re just starting out or already a Fortune 500 giant, App Secrets is for you.<br /><br />App Secrets will show you how to:<br /><br />•Turn Your App Idea into a Million-Dollar Reality<br />•Build Your App Business from the Ground Up and Love What You Do<br />•Escape Your 9-to-5 Job and Live the Life of Your Dreams<br />•Impact the Lives of Millions Across the World<br />•And Lots More…<br /><br />All of the most successful apps, including Candy Crush, Instagram, Airbnb, Uber, and Snapchat incorporate the same fundamental traits. These elements are made easy to understand in what Sean Casto calls “App Secrets,” to drive breakout success and achieve explosive growth. <br /><br />App Secrets uncovers how you can use these same strategies that today's fastest growing apps use to create your own Million Dollar or even a Billion Dollar app. You’ll discover why some die and others succeed so you can avoid big mistakes and develop big winners. You will learn, step-by-step, highly successful methodologies, including:<br /><br />“Skyrocket Downloads Method” - Discover how apps DOUBLE, TRIPLE, or even 10X downloads through strategic organic marketing initiatives. This same method mastered by Flyp and TagFi can turn an app into a global phenomenon.<br /><br />“Viral App Blueprint”- Learn the specific blueprint of how today's smartest apps like Pokemon Go and Uber go viral and become instantly adopted by Millions. <br /><br />“Addiction Framework” – Discover the framework championed by Candy Crush and Snapchat to get people addicted to using your app every day, and making it indispensable.<br />

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Gregory RzeczkoIntroduce Yourself
Hello, my name is Gregory Rzeczko, founder of KindReader.com. KindReader.com allows users to find books that fit specifically into their budget. The categories include: Free, Prime, <$1, <$2, <$5, <$10, and <$20. After choosing a price point, users can browse by category with new features that make the process more intuitive. Let me know what you think of KindReader.com and post i...

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Kind Reader Monthly Drawing (March 2017)

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