Effective Behavior-Driven Development
DAX Reimagined
The right mindsetWhat every programmer needs to know about cognition
Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. [Read more]
The techniques found inside this book will help you maximize the power of creativity to improve your software and your satisfaction in creating it. Hand-drawn illustrations, reflective thought experiments, and brain-tickling example problems help you get your creative juices flowing! [Read more]
Solve common application design and usability issues with flair! These essential design and UX techniques will help you create good user experiences, iterate smoothly on frontend features, and collaborate effectively with designer colleagues. [Read more]
How to facilitate domain modeling decisions
Don't spend months building the wrong software! This book is a unique and practical guide for effectively involving all stakeholders in the design of software. It combines tried-and-tested collaborative modeling tools such as Event Storming and domain storytelling with vital skills to overcome rank, mitigate cognitive bias, and resolve conflicts. [Read more]
A successful technology career demands more than just technical ability. Achieving your goals requires clear communication, top-notch time management, and a knack for navigating business needs. Master the "soft skills," and you'll have a smoother path to success and satisfaction, however you define that for yourself. [Read more]
Renowned security expert Tom Kranz teaches you to think like a hacker, ensuring that you can spot your own weak points and evaluate risks in new technologies or processes. You'll cement this mindset by planning your own penetration test—taking on the role of the attacker in a simulated hack against an asset management firm. [Read more]
Go from individual contributor to successful lead developer. It's full of insider tips, tricks, and strategies taken from author Shelley Benhoff's 20-year career in technology, with vital insights for navigating the challenges and expectations of the lead developer role. [Read more]
Learn how to run high quality code reviews that improve both your applications and your team dynamics. This book's focus on team happiness and collaborative processes ensures you'll be constructive in your code review comments and keep reviews focused on the code rather than the developer. [Read more]
Skills of a Successful Software Engineer
Skills to grow from a solo coder into a productive member of a software development team, with seasoned advice on everything from refactoring to acing an interview. [Read more]
Skills for data scientists
Bayesian statistics is a framework for reasoning under uncertainty. It lets you incorporate prior knowledge, rigorously quantify uncertainty, and directly answer practical questions like: "what's the probability that this new treatment improves outcomes by at least 10%?" Bayesian methods are more intuitive, flexible, and directly actionable, which makes them invaluable for data science, AI, experiment design, and beyond. This book teaches Bayesianism through clear explanations, rich illustrations, and relatable examples. [Read more] 6 chapters of this MEAP are available now, with more to follow soon!
The Well-Grounded Data Analyst Solve messy data problems like a pro
Real world data analysis is messy. Success requires tackling challenges like unreliable data sources, ambiguous requests, and incompatible formats—often with limited guidance. This book goes beyond the clean, structured examples you see in classrooms and bootcamps, offering a step-by-step framework you can use to confidently solve any data analysis problem like a pro. [Read more]
Hard and soft skills to accelerate your career
Full of sage advice on how to be an effective data analyst in a real production environment. Inside, you'll find methods that maximize the impact of your work, from choosing the right analysis approach to effectively communicating with stakeholders. You'll soon understand the nuances and challenges of real data science projects, with the kind of insights that only come from years of experience. [Read more]
Design effective charts and dashboards
Radically improve the quality of the data visualizations you do every day by mastering core principles of color, typography, chart types, data storytelling, and more! This book gives you the tools you need to start telling data stories with clarity, precision, and flair. [Read more]
Software Engineering for Data Scientists
Many basic software engineering skills apply directly to data science! As a data scientist, learning the right software engineering techniques can save you a world of time and frustration. This practical handbook is full sage advice that will change the way you structure your code, monitor model performance, and work effectively with the software engineering teams. [Read more]
Managing Machine Learning Projects
Ferrying machine learning projects to production often feels like navigating uncharted waters. From accounting for large data resources to tracking and evaluating multiple models, machine learning technology has radically different requirements than traditional software. Never fear! This book lays out the unique practices you'll need to ensure your projects succeed. [Read more]
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