He became a self-made millionaire before he was 25.But, life wasn't always this grand for him. He was the only person in his family earning an income. And, he came from an oppressed family that grew up in the slums. Regardless, the apps he published were downloaded by over 15 million people.His apps have been featured in many places, including Wired.com, NBC News, and CNN. Now he's sharing the story on how he did it, the crises he struggled with, and what his father taught him to be successful.App companies have paid him thousands of dollars for consultant work, and he has helped them increase their download numbers by over 1000%. One of those apps was downloaded by over 100,000 users in one day. And now he is revealing his marketing secrets for the first time in this book.Note: This book was written with non-technical people in mind. The book covers both life and entrepreneurial lessons, and not all of the book is about app development.

     First growth hacks I was compressing into a short form and keeping in a private document. And then the crazy idea hit my head —  establish an e-mail subscription service, that sends every day one short growth hack. This is how growthhackingidea.com was born. After 3 weeks there were 1700 subscribers ($0 marketing cost). I was reading, choosing tasty growth hacks, I eager to test and implement. After 3 months there were 17 000 subscribers ($0 marketing cost). People from companies like Microsoft, Salesforce, TechStars, Hubspot, Coca-Cola, Indiegogo, Disney, 500 startups, LinkedIn, Adobe became our subscribers. After reaching this milestone I decided to put the best collected growth hacks into a book + add a portion of exclusive growth hacks, never released on GrowthHackingIdea.com. This book consists of two parts: 1. Introduction, how GrowthHackingIdea.com started (+ bonus growth hacks) 2. A list of TOP 101 growth hacks. Divided into AARRR+ sections: Before Product-Market Fit, Hustling, Copywriting, Acquisition, Activation, Retention, Revenue, Referral: Before product/market fit #1. Hack your mindset with CEO of Pinterest #2. How to get your first customers #3. Are you sure about your product/market fit? Hustling #4. Leveraging dead competitors #5. Get emails of followers of your competitors #6. Tinder`s early days growth hack #7. Become an alternative to your competitors #8. The TechCrunch journalists` emails #9. Find journalists for your startup instantly #10. Pre-heat the journalists #11. Hack the Press #12. Hack Product Hunt #13. How a $2B company gained its initial users Copyrighting #14. A copy that converts #15. 9 cold emailing rules #16. 7 engaging storytelling formulas #17. 7 perfect headline formulas #18. The magic of headlines #19. Hack persuasive copywriting #20. Copywriting tip to quadruple conversions #21. Replace one word to get 90% more clicks Acquisition #22. Parasite SEO (white hat) #23. A real keyword strategy #24. Hidden early stage growth hack of Airbnb #25. Turn LinkedIn contacts into a list of emails #26. I hardly forced myself to share this hack #27. 200K users a month from long tail phrases #28. Boost conversions of your Tweets #29. How to collect emails on Twitter #30. Hack Twitter #31. Creating Pinterest pins that drive results #32. Best growth hack by Laxman Papineni #33. Which ads perform best for your competitors? #34. Piggybacking tweak to earn a ROI #35. Hack ideas for the 2nd largest search engine #36. Hack Facebook ads #37. 5 SEO hacks for the 2nd largest search engine #38. Disrupt the cost of YouTube video marketing Activation #39. Easy to understand tutorials via email #40. Boost your email opt-in rate by 22% #41. Little trick increased conversions by 26% #42. Evernote’s onboarding framework #43. Increase email opt-ins by 70% in 5 minutes #44. Quiz your audience #45. Drawbacks & competition increase conversions #46. Negative social proof for persuasion #47. 10-second trick #48. How I doubled my app downloads #49. How typography affects conversions #50. Save your bounced visitors #51. Turn invisibles into leads #52.

    The LEGO MINDSTORMS NXT 2.0 Discovery Book is the complete, illustrated, beginner's guide to MINDSTORMS that you've been looking for. The crystal clear instructions in the Discovery Book will show you how to harness the capabilities of the NXT 2.0 set to build and program your own robots. Author and robotics instructor Laurens Valk walks you through the set, showing you how to use its various pieces, and how to use the NXT software to program robots. Interactive tutorials make it easy for you to reach an advanced level of programming as you learn to build robots that move, monitor sensors, and use advanced programming techniques like data wires and variables. You'll build eight increasingly sophisticated robots like the Strider (a six-legged walking creature), the CCC (a climbing vehicle), the Hybrid Brick Sorter (a robot that sorts by color and size), and the Snatcher (an autonomous robotic arm). Numerous building and programming challenges throughout encourage you to think creatively and to apply what you've learned as you develop the skills essential to creating your own robots.Requirements: One LEGO MINDSTORMS NXT 2.0 set (#8547)FeaturesA complete introduction to LEGO MINDSTORMS NXT 2.0 Building and programming instructions for eight innovative robots 50 sample programs and 72 programming challenges (ranging from easy to hard) encourage you to explore newly learned programming techniques 15 building challenges expand on the robot designs and help you develop ideas for new robotsWho is this book for? This is a perfect introduction for those new to building and programming with the LEGO MINDSTORMS NXT 2.0 set. The book also includes intriguing robot designs and useful programming tips for more seasoned MINDSTORMS builders.

    This text is split into distinct sections, each concentrating on a core angle of the language. The book also contains sections for Web and application development, the two most popular uses for Python. It is designed to teach a programmer how to use Python by explaining the mechanics of Python. The appendixes offer a quick guide to the main features of the Python language, as well as additional guides to non-essential systems such as the IDLE development environment and general guidelines for migrating from another language.

    We can all learn from these strategies. In this detailed analysis of IoT and Amazon's and other leading companies approach to it, John Rossman guides readers with practical insights and recommendations into the strategies and mindset transforming business and society. "John has laid out a blueprint not only for an enterprise wanting to understand how sensors embedded in their business can innovate old ways of working while also providing an excellent path for individuals wanting to start their own IoT business. The book is not only a reference tool but also paints a story around innovation and customer centricity to challenge the reader to think differently in solving problems." Eric Martinez -- Founder of Modjoul, former EVP AIG and Safeco Insurance The Amazon Way on IoT explains how the combination of sensors, cloud computing and machine learning can be used to improve customer experiences, drive operational improvements and build new business models. Rossman offers: - Guidance through the maze of emerging technologies, customer experiences, and business models, to arrive at a recipe just right for your organization - Key methods to success from Amazon’s master playbook such as creating seamless customer experiences, process improvement and new business models and utilizing tools such as sensors, machine learning and cloud computing - Approaches to help you tackle the technology, business and internal challenges in innovating with the internet of things. Renowned Harvard business professor Michael Porter describes the IoT as the backbone for a third-wave of technology-led innovation and digital disruption. The Amazon Way on IoT is for business people who want to learn cases, key concepts, technologies and tools to help develop, explain and execute their own IoT approach. As a leader at Amazon who held a front-row seat during its formative years, Rossman understands the iconic company better than most. From the launch of Amazon’s third-party seller program to its foray into enterprise services, he witnessed it all – the amazing successes, the little-known failures, and the experiments with outcomes still to be determined. Rossman once again examines the heart of Amazon.com’s secret to success, along with other leading companies. He incorporates an extensive focus on sophisticated IoT technologies and strategies related to Amazon’s rise: tens of millions of items in stock, the company’s technological prowess, and the many customer service innovations such as “one-click.” “This is an excellent book. And a very important book. It evokes both business thought and technical thought, which is rare.” -- Larry Hughes, former head of Amazon cyber security

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems.The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book.

    Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram. Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble. In this book you'll learn: Setting Up Your Environment Let’s Get Programming Variables and Programs in Files Loops, Loops and More Loops Functions Dictionaries, Lists, and Tuples The “for” Loop Classes Modules File Input/Output Error Handling and much more! Now it's time for you to start your journey into Python programming! Click on the Buy Now button above and get started today!

    These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion. These are just basic examples of the growth of Web intelligence, as increasingly sophisticated algorithms operate on the vast and growing amount of data on the Web, sifting, selecting, comparing, aggregating, correcting; following simple but powerful rules to decide what matters. While original optimism for Artificial Intelligence declined, this new kind of machine intelligence is emerging as the Web grows ever larger and more interconnected.Gautam Shroff takes us on a journey through the computer science of search, natural language, text mining, machine learning, swarm computing, and semantic reasoning, from Watson to self-driving cars. This machine intelligence may even mimic at a basic level what happens in the brain.

    In the successful, accessible style of Tony Gaddis’ best-selling texts, useful examples and detail-oriented explanations allow students to become comfortable with fundamental concepts and logical thought processes used in programming without the complication of language syntax. Students gain confidence in their program design skills to transition into more comprehensive programming courses.The book is ideal for a programming logic course taught as a precursor to a language-specific introductory programming course, or for the first part of an introductory programming course.

    Written by the man who started the adventure, Behind Deep Blue reveals the inside story of what happened behind the scenes at the two historic Deep Blue vs. Kasparov matches. This is also the story behind the quest to create the mother of all chess machines. The book unveils how a modest student project eventually produced a multimillion dollar supercomputer, from the development of the scientific ideas through technical setbacks, rivalry in the race to develop the ultimate chess machine, and wild controversies to the final triumph over the world's greatest human player.In nontechnical, conversational prose, Feng-hsiung Hsu, the system architect of Deep Blue, tells us how he and a small team of fellow researchers forged ahead at IBM with a project they'd begun as students at Carnegie Mellon in the mid-1980s: the search for one of the oldest holy grails in artificial intelligence--a machine that could beat any human chess player in a bona fide match. Back in 1949 science had conceived the foundations of modern chess computers but not until almost fifty years later--until Deep Blue--would the quest be realized.Hsu refutes Kasparov's controversial claim that only human intervention could have allowed Deep Blue to make its decisive, "uncomputerlike" moves. In riveting detail he describes the heightening tension in this war of brains and nerves, the "smoldering fire" in Kasparov's eyes. Behind Deep Blue is not just another tale of man versus machine. This fascinating book tells us how man as genius was given an ultimate, unforgettable run for his mind, no, not by the genius of a computer, but of man as toolmaker.

    The digital transformation demands that we focus our attention on experiences and outcomes. Business leaders and their organizations must shift to keeping promises—no matter how their customers interact with them.But organizations no longer control the conversation. In this era of social and mobile technology, customers, employees, suppliers, and partners are in direct communication with one another. Those personal networks and the brands they’re passionate about influence their decision making and their spending.The workforce has changed too. Employees expect to be able to determine when and how they will work, the technology they’ll use, and the values their company will espouse.Organizations can take part in this conversation only if they recognize how and where it’s happening. Resisting these changes will leave executives, managers, and their companies powerless. Organizations must pivot with and ahead of these social, organizational, and technological shifts or risk being left behind.Technology guru Ray Wang shows how organizations can surf the waves of change—how they can keep their promises. Current trends, when taken seriously, require a new way of thinking about business that includes five key areas:1. Consumerization of technology and the new C-suite2. Data’s influence in driving decisions3. Digital marketing transformation4. The future of work5. Matrix commerceDigital disruption has changed how we do our work. But by mastering these trends you’ll delight your customers with every interaction.

    This report provides a brief yet comprehensive introduction to Python for engineers, researchers, and data scientists who are already familiar with another programming language.Author Jake VanderPlas, an interdisciplinary research director at the University of Washington, explains Python’s essential syntax and semantics, built-in data types and structures, function definitions, control flow statements, and more, using Python 3 syntax.You’ll explore:- Python syntax basics and running Python codeBasic semantics of Python variables, objects, and operators- Built-in simple types and data structures- Control flow statements for executing code blocks conditionally- Methods for creating and using reusable functionsIterators, list comprehensions, and generators- String manipulation and regular expressions- Python’s standard library and third-party modules- Python’s core data science tools- Recommended resources to help you learn more

    We have put thousands of hours into the fourth edition of the book, writing and revising its material to include significant improvements and new material based on feedback from previous editions.

    Learn how to make a 5-cent wedding band, leather iPod case, and paracord bullwhip!