ace the coding interview with Python and JavaScript

Out of all the ways for young people to learn coding, You Can Code will be the most welcoming, relevant, and fun. Created and authored by best-selling educator Ben Forta, it introduces every basic concept step by step, using projects of gradually increasing complexity. Designed for anyone age 10-17 (or thereabouts), this glossy full-color guide is packed with welcoming images, and powerfully engaging brief text that's extremely easy to understand. All code listings are in full color, with shading to reveal incremental changes, and QR links to short videos with more explanation and examples. Forta teaches with Python, one of today's most powerful and intuitive languages--and every project is a game, covering multiple popular genres. You Can Code makes programming exciting and rewarding, as it prepares a new generation to take their next steps forward--in education, careers, or both.

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

Unlock the Secrets of Linux System Programming and Take Your Coding Skills to the Next Level Do you use Linux, but not really understand it? Have you ever wondered how ls -l' knows everything does? Could you explain to a coworker why ls' and find' can be external commands but cd' and umask' must be built into the shell? The answers to these questions, and more, are in Linux Application Programming by Example, Second Edition. Purposely avoiding Too Much Information (TMI) this book tells you exactly what you need to know--no more and no less--about the fundamental Linux system programming APIs. Following the latest POSIX standard, author Arnold Robbins explains how the basic file, process, IPC and networking APIs work. Wherever possible, he demonstrates the use of the APIs with code drawn from real programs (V7 Unix, BSD Unix, and GNU). When not possible, the author provides small, clearly documented and annotated, standalone example programs of his own. The author focuses on both

Functional and concurrent programming paradigms can help experienced object-oriented developers write high-quality software faster: code that's easier to understand, debug, optimize, and evolve. But these approaches have often been surrounded by mystification and misconceptions, leading many developers to avoid them. In Functional and Concurrent Programming, Michel Charpentier clears away the confusion, showing how to use these features safely and well, so you can gain their benefits without their pitfalls. Writing for developers with some object-oriented experience in Java, C++, C#, Python, or elsewhere, Charpentier teaches key concepts through the use of realistic, modern examples: code written in Scala, but relevant to users of any modern object-oriented language. As a hybrid language, Scala can be used effectively to illustrate both object-oriented and functional programming; it offers advanced features for concurrency; and it interoperates with Java, and can use many components of