It's a "Brotopia," where men hold all the cards and make all the rules. Vastly outnumbered, women face toxic workplaces rife with discrimination and sexual harassment, where investors take meetings in hot tubs and network at sex parties.In this powerful exposé, Bloomberg TV journalist Emily Chang reveals how Silicon Valley got so sexist despite its utopian ideals, why bro culture endures despite decades of companies claiming the moral high ground (Don't Be Evil! Connect the World!)--and how women are finally starting to speak out and fight back.Drawing on her deep network of Silicon Valley insiders, Chang opens the boardroom doors of male-dominated venture capital firms like Kleiner Perkins, the subject of Ellen Pao's high-profile gender discrimination lawsuit, and Sequoia, where a partner once famously said they "won't lower their standards" just to hire women. Interviews with Facebook COO Sheryl Sandberg, YouTube CEO Susan Wojcicki, and former Yahoo! CEO Marissa Mayer--who got their start at Google, where just one in five engineers is a woman--reveal just how hard it is to crack the Silicon Ceiling. And Chang shows how women such as former Uber engineer Susan Fowler, entrepreneur Niniane Wang, and game developer Brianna Wu, have risked their careers and sometimes their lives to pave a way for other women.Silicon Valley's aggressive, misogynistic, work-at-all costs culture has shut women out of the greatest wealth creation in the history of the world. It's time to break up the boys' club. Emily Chang shows us how to fix this toxic culture--to bring down Brotopia, once and for all.

    Their days are defined by a relentless barrage of incoming messages and back-and-forth digital conversations--a state of constant, anxious chatter in which nobody can disconnect, and so nobody has the cognitive bandwidth to perform substantive work. There was a time when tools like email felt cutting edge, but a thorough review of current evidence reveals that the hyperactive hive mind workflow they helped create has become a productivity disaster, reducing profitability and perhaps even slowing overall economic growth. Equally worrisome, it makes us miserable. Humans are simply not wired for constant digital communication.We have become so used to an inbox-driven workday that it's hard to imagine alternatives. But they do exist. Drawing on years of investigative reporting, author and computer science professor Cal Newport makes the case that our current approach to work is broken, then lays out a series of principles and concrete instructions for fixing it. In A World without Email, he argues for a workplace in which clear processes--not haphazard messaging--define how tasks are identified, assigned and reviewed. Each person works on fewer things (but does them better), and aggressive investment in support reduces the ever-increasing burden of administrative tasks. Above all else, important communication is streamlined, and inboxes and chat channels are no longer central to how work unfolds.The knowledge sector's evolution beyond the hyperactive hive mind is inevitable. The question is not whether a world without email is coming (it is), but whether you'll be ahead of this trend. If you're a CEO seeking a competitive edge, an entrepreneur convinced your productivity could be higher, or an employee exhausted by your inbox, A World Without Email will convince you that the time has come for bold changes, and will walk you through exactly how to make them happen.

    The real transformation--and the real opportunity--is just beginning.Subscription companies are growing nine times faster than the S&P 500. Why? Because unlike product companies, subscription companies know their customers. A happy subscriber base is the ultimate economic moat. Today's consumers prefer the advantages of access over the hassles of maintenance, from transportation (Uber, Surf Air), to clothing (Stitch Fix, Eleven James), to razor blades and makeup (Dollar Shave Club, Birchbox). Companies are similarly demanding easier, long-term solutions, trading their server rooms for cloud storage solutions like Box. Simply put, the world is shifting from products to services.But how do you turn customers into subscribers? As the CEO of the world's largest subscription management platform, Tien Tzuo has helped hundreds of companies transition from relying on individual sales to building customer-centric, recurring-revenue businesses. His core message in Subscribed is simple: Ready or not, excited or terrified, you need to adapt to the Subscription Economy -- or risk being left behind.Tzuo shows how to use subscriptions to build lucrative, ongoing one-on-one relationships with your customers. This may require reinventing substantial parts of your company, from your accounting practices to your entire IT architecture, but the payoff can be enormous. Just look at the case studies:  *   Adobe transitions from selling enterprise software licenses to offering cloud-based solutions for a flat monthly fee, and quadruples its valuation.  *   Fender evolves from selling guitars one at a time to creating lifelong musicians by teaching beginners to play, and keeping them inspired for life.  *   Caterpillar uses subscriptions to help solve problems -- it's not about how many tractors you can rent, but how much dirt you need to move. In Subscribed, you'll learn how these companies made the shift, and how you can transform your own product into a valuable service with a practical, step-by-step framework. Find out how how you can prepare and prosper now, rather than trying to catch up later.

    In Blood, Sweat, and Pixels, Jason Schreier takes readers on a fascinating odyssey behind the scenes of video game development, where the creator may be a team of 600 overworked underdogs or a solitary geek genius. Exploring the artistic challenges, technical impossibilities, marketplace demands, and Donkey Kong-sized monkey wrenches thrown into the works by corporate, Blood, Sweat, and Pixels reveals how bringing any game to completion is more than Sisyphean—it's nothing short of miraculous.Taking some of the most popular, bestselling recent games, Schreier immerses readers in the hellfire of the development process, whether it's RPG studio Bioware's challenge to beat an impossible schedule and overcome countless technical nightmares to build Dragon Age: Inquisition; indie developer Eric Barone's single-handed efforts to grow country-life RPG Stardew Valley from one man's vision into a multi-million-dollar franchise; or Bungie spinning out from their corporate overlords at Microsoft to create Destiny, a brand new universe that they hoped would become as iconic as Star Wars and Lord of the Rings—even as it nearly ripped their studio apart. Documenting the round-the-clock crunches, buggy-eyed burnout, and last-minute saves, Blood, Sweat, and Pixels is a journey through development hell—and ultimately a tribute to the dedicated diehards and unsung heroes who scale mountains of obstacles in their quests to create the best games imaginable.

    His job no longer existed. "I think they just want to hire younger people," his boss at Newsweek told him. Fifty years old and with a wife and two young kids, Dan was, in a word, screwed. Then an idea hit. Dan had long reported on Silicon Valley and the tech explosion. Why not join it? HubSpot, a Boston start-up, was flush with $100 million in venture capital. They offered Dan a pile of stock options for the vague role of "marketing fellow." What could go wrong? HubSpotters were true believers: They were making the world a better place ... by selling email spam. The office vibe was frat house meets cult compound: The party began at four thirty on Friday and lasted well into the night; "shower pods" became hook-up dens; a push-up club met at noon in the lobby, while nearby, in the "content factory," Nerf gun fights raged. Groups went on "walking meetings," and Dan's absentee boss sent cryptic emails about employees who had "graduated" (read: been fired). In the middle of all this was Dan, exactly twice the age of the average HubSpot employee, and literally old enough to be the father of most of his co-workers, sitting at his desk on his bouncy-ball "chair."Mixed in with Lyons's uproarious tale of his rise and fall at Hubspot is a trenchant analysis of the start-up world, a de facto conspiracy between those who start companies and those who fund them, a world where bad ideas are rewarded with hefty investments, where companies blow money lavishing perks on their post-collegiate workforces, and where everybody is trying to hang on just long enough to reach an IPO and cash out. With a cast of characters that includes devilish angel investors, fad-chasing venture capitalists, entrepreneurs and "wantrapreneurs," bloggers and brogrammers, social climbers and sociopaths, Disrupted is a gripping and definitive account of life in the (second) tech bubble.

    The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.

    Chan Kim and Renee Mauborgne. Drawing on more than a decade of new work, Kim and Mauborgne show you how to move beyond competing, inspire your people's confidence, and seize new growth, guiding you step-by-step through how to take your organization from a red ocean crowded with competition to a blue ocean of uncontested market space. By combining the insights of human psychology with practical market-creating tools and real-world guidance, Kim and Mauborgne deliver the definitive guide to shift yourself, your team, or your organization to new heights of confidence, market creation, and growth. They show why nondisruptive creation is as important as disruption in seizing new growth. Blue Ocean Shift is packed with all-new research and examples of how leaders in diverse industries and organizations made the shift and created new markets by applying the process and tools outlined in the book. Whether you are a cash-strapped startup or a large, established company, nonprofit or national government, you will learn how to move from red to blue oceans in a way that builds your people's confidence so that they own and drive the process. With battle-tested lessons learned from successes and failures in the field, Blue Ocean Shift is critical reading for leaders, managers, and entrepreneurs alike. You'll learn what works, what doesn't, and how to avoid the pitfalls along the way. This book will empower you to succeed as you embark on your own blue ocean journey. Blue Ocean Shift is indispensable for anyone committed to building a compelling future.

    She stared at a long list of logistics--from hiring to firing, from meeting to messaging, from planning to pitching--and faced a thousand questions and uncertainties. How was she supposed to spin teamwork into value? How could she be a good steward of her reports' careers? What was the secret to leading with confidence in new and unexpected situations?Now, having managed dozens of teams spanning tens to hundreds of people, Julie knows the most important lesson of all: great managers are made, not born. If you care enough to be reading this, then you care enough to be a great manager.The Making of a Manager is a modern field guide packed everyday examples and transformative insights, including:* How to tell a great manager from an average manager (illustrations included) * When you should look past an awkward interview and hire someone anyway * How to build trust with your reports through not being a boss * Where to look when you lose faith and lack the answersWhether you're new to the job, a veteran leader, or looking to be promoted, this is the handbook you need to be the kind of manager you wish you had.

    But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity.In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams.Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.

    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

    In this book, Agile Alliance cofounder Mike Cohn discusses the philosophy of agile estimating and planning and shows you exactly how to get the job done, with real-world examples and case studies.Concepts are clearly illustrated and readers are guided, step by step, toward how to answer the following questions: What will we build? How big will it be? When must it be done? How much can I really complete by then? You will first learn what makes a good plan-and then what makes it agile.Using the techniques in Agile Estimating and Planning , you can stay agile from start to finish, saving time, conserving resources, and accomplishing more. Highlights include:Why conventional prescriptive planning fails and why agile planning works How to estimate feature size using story points and ideal days--and when to use each How and when to re-estimate How to prioritize features using both financial and nonfinancial approaches How to split large features into smaller, more manageable ones How to plan iterations and predict your team's initial rate of progress How to schedule projects that have unusually high uncertainty or schedule-related risk How to estimate projects that will be worked on by multiple teams Agile Estimating and Planning supports any agile, semiagile, or iterative process, including Scrum, XP, Feature-Driven Development, Crystal, Adaptive Software Development, DSDM, Unified Process, and many more. It will be an indispensable resource for every development manager, team leader, and team member.

    Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas: Data issues -- The opportunities and ambiguities of the data space are evident in discussions around privacy, the implications of data-centric industries, and the debate about the phrase “data science” itself. The application of data: products and processes – A “data product” can emerge from virtually any domain, including everything from data startups to established enterprises to media/journalism to education and research. Data science and data tools -- The tools and technologies that drive data science are of course essential to this space, but the varied techniques being applied are also key to understanding the big data arena.The business of data – Take a closer look at the actions connected to data -- the finding, organizing, and analyzing that provide organizations of all sizes with the information they need to compete.

    But what if you could have your computer do them for you?In "Automate the Boring Stuff with Python," you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand no prior programming experience required. Once you've mastered the basics of programming, you'll create Python programs that effortlessly perform useful and impressive feats of automation to: Search for text in a file or across multiple filesCreate, update, move, and rename files and foldersSearch the Web and download online contentUpdate and format data in Excel spreadsheets of any sizeSplit, merge, watermark, and encrypt PDFsSend reminder emails and text notificationsFill out online formsStep-by-step instructions walk you through each program, and practice projects at the end of each chapter challenge you to improve those programs and use your newfound skills to automate similar tasks.Don't spend your time doing work a well-trained monkey could do. Even if you've never written a line of code, you can make your computer do the grunt work. Learn how in "Automate the Boring Stuff with Python.""

    These companies, to be sure, broke new science and engineering ground—yet their most lasting legacy may well be their pioneering approach to business itself. They blazed a path that led to Intel, Apple, Oracle, Genentech, Gilead, Sun, Adobe, Cisco, Yahoo, eBay, Google, Salesforce, Facebook, Twitter, and many, many others.What causes a fledgling company to break through and prosper? At the highest level, the blueprint is always the same: An upstart team with outsized ambition somehow possesses an uncanny ability to surpass customer expectations, upend whole industries, and topple incumbents. But how do they do it? If only we could observe the behaviors of such a company from the inside. If only we were granted a first-person perspective at a present-day Silicon Valley startup-cum-blockbuster. What might we learn? This document—the story of Data Domain’s rise from zero to one billion dollars in revenue—is your invitation to find out. For anyone curious about the process of new business formation, Tape Sucks offers a provocative, ripped-from-the-headlines case study. How does a new company bootstrap itself? What role does venture capital play? Why do customers and new recruits take a chance on a risky new player? Frank Slootman, who lived and breathed the Data Domain story for six years, offers up his clear-eyed, “first-person shooter” version of events. You’re with him on the inside as he and his team navigate the tricky waters of launching a high-technology business. You’ll feel—deep in your gut—the looming threat of outside combatants and the array of challenges that make mere survival an accomplishment. You’ll catch a glimpse of an adrenalin-fueled place where victories are visceral, communication wide open, and esprit de corps palpable. The upshot is that the principles of the early entrepreneurs of Silicon Valley are alive and well. Their straightforward ideas include employee-ownership, tolerance for failure, unfettered meritocracy, faith in the power of technology breakthroughs, a preference for handshakes and trust over contracts and lawsuits, pragmatism, egalitarianism, and a belief in the primacy of growth and reinvestment over dividends and outbound profits. Tape Sucks is an honest, informed perspective on technology wave riding. It allows you to observe a high-growth business at close range and get an unvarnished picture of how things really work.

    An approachable guide to programming in SQL (Structured Query Language) that will teach even beginning programmers how to build powerful databases and analyze data to find meaningful information.Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language) written by longtime professional journalist Anthony DeBarros. SQL is the primary tool that programmers, web developers, researchers, journalists, and others use to explore data in a database. DeBarros focuses on using SQL to find the story in data, with the aid of the popular open-source database PostgreSQL and the pgAdmin interface.This thoroughly revised second edition includes a new chapter describing how to set up PostgreSQL and more extensive discussion of pgAdmin's best features. The author has also added a chapter on the JSON data format that shows readers how to store and query JSON data. DeBarros has also updated the data in the book throughout, added coverage of additional topics, and perfected the book's examples.Readers love DeBarros's use of exercises and real-world examples that demonstrate how to:- Create databases and related tables using your own data - Correctly define data typesAggregate, sort, and filter data to find patterns - Clean their data and transfer data as text files - Create advanced queries and automate tasksThis book uses PostgreSQL, but the SQL syntax is applicable to many database applications, including Microsoft SQL Server and MySQL.