From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

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. 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. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

Picking up where Quiet ended, How to Be Yourself is the best book you’ll ever read about how to conquer social anxiety. “This book is also a groundbreaking road map to finally being your true, authentic self.” —Susan Cain, New York Times, USA Today and nationally bestselling author of Quiet Up to 40% of people consider themselves shy. You might say you’re introverted or awkward, or that you're fine around friends but just can't speak up in a meeting or at a party. Maybe you're usually confident but have recently moved or started a new job, only to feel isolated and unsure. If you get nervous in social situations—meeting your partner's friends, public speaking, standing awkwardly in the elevator with your boss—you've probably been told, “Just be yourself!” But that's easier said than done—especially if you're prone to social anxiety. Weaving together cutting-edge science, concrete tips, and the compelling stories of real people who have risen above their social anxiety, Dr. Ellen Hendriksen proposes a groundbreaking idea: you already have everything you need to succeed in any unfamiliar social situation. As someone who lives with social anxiety, Dr. Hendriksen has devoted her career to helping her clients overcome the same obstacles she has. With familiarity, humor, and authority, Dr. Hendriksen takes the reader through the roots of social anxiety and why it endures, how we can rewire our brains through our behavior, and—at long last—exactly how to quiet your Inner Critic, the pesky voice that whispers, "Everyone will judge you." Using her techniques to develop confidence, think through the buzz of anxiety, and feel comfortable in any situation, you can finally be your true, authentic self.

'Thought-provoking' Spectator 'Taut and timely . . . A brilliant exploration of social media' Nikesh Shukla 'Original and important . . . Essential reading' Sathnam Sanghera Meet Dillon: a high-functioning fuck-up and carer for his dying mum. Trapped in an absurd cycle of pre-bereavement bereavement, he has been hiding his pain and some horrible truths, not least from his girlfriend, Ramona. His distortions have been growing dangerously more hardcore and hardwired, both online and off, thanks to the self-reinforcing effects of social media and creepy digital surveillance. And when a pair of snooping goons turn up, threatening to expose him, he is forced to confront a gut-wrenching secret that he would rather leave well alone. This audacious novel asks what happens when our minds are twisted beyond recognition by our digital data and search histories, and when our darkest truths are forced into the light by the uncanny predictive capabilities of our smartphones. What lengths would you go to in order to hide from yourself?

#1 INTERNATIONAL BESTSELLER • “A landmark manifesto" (The New York Times) that's a revelatory, inspiring call to action and a blueprint for individual growth that will empower women around the world to achieve their full potential. In her famed TED talk, Sheryl Sandberg described how women unintentionally hold themselves back in their careers. Her talk, which has been viewed more than eleven million times, encouraged women to “sit at the table,” seek challenges, take risks, and pursue their goals with gusto. Lean In continues that conversation, combining personal anecdotes, hard data, and compelling research to change the conversation from what women can’t do to what they can. Sandberg, COO of Meta (previously called Facebook) from 2008-2022, provides practical advice on negotiation techniques, mentorship, and building a satisfying career. She describes specific steps women can take to combine professional achievement with personal fulfillment, and demonstrates how men can benefit by supporting women both in the workplace and at home.

The tenth-anniversary edition of the book that changed lives in profound ways, now with a new foreword and afterword. In 2006, a groundbreaking feature-length film revealed the great mystery of the universe—The Secret—and, later that year, Rhonda Byrne followed with a book that became a worldwide bestseller. Fragments of a Great Secret have been found in the oral traditions, in literature, in religions and philosophies throughout the centuries. For the first time, all the pieces of The Secret come together in an incredible revelation that will be life-transforming for all who experience it. In this book, you’ll learn how to use The Secret in every aspect of your life—money, health, relationships, happiness, and in every interaction you have in the world. You’ll begin to understand the hidden, untapped power that’s within you, and this revelation can bring joy to every aspect of your life. The Secret contains wisdom from modern-day teachers—men and women who have used it to achieve health, wealth, and happiness. By applying the knowledge of The Secret, they bring to light compelling stories of eradicating disease, acquiring massive wealth, overcoming obstacles, and achieving what many would regard as impossible.