ace the coding interview with Python and JavaScript

Academic clinical posts offer doctors the highly rewarding opportunity to maintain both clinical and research careers, but these opportunities are fiercely competitive. This book provides medical students and doctors-in-training with a complete guide to preparing, applying and interviewing for such posts. Providing guidance on the typical UK academic pathways (including Academic Foundation Programme (AFP), Academic Clinical Fellowship (ACF), and Academic Clinical Lectureship (ACL)), candidates will learn how to choose a programme that suits their needs and experience. They will also get practical tips on how to best showcase their achievements and work portfolio in order to submit the highest quality application. A range of model answers to application and in-person questions are provided, together with a mock interview section demonstrating how to approach tricky questions and interviewers. Prepare for successful academic clinical interviews by following the tips and advice from autho

A primer for learning SAS and analytics quickly, the book makes use of real-world data analysis steps. Filled with line-by-line code explanations, it is packed with fully functional and easily modifia

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

A primer for learning SAS and analytics quickly, the book makes use of real-world data analysis steps. Filled with line-by-line code explanations, it is packed with fully functional and easily modifia

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Boolean functions are essential to systems for secure and reliable communication. This comprehensive survey of Boolean functions for cryptography and coding covers the whole domain and all important results, building on the author's influential articles with additional topics and recent results. A useful resource for researchers and graduate students, the book balances detailed discussions of properties and parameters with examples of various types of cryptographic attacks that motivate the consideration of these parameters. It provides all the necessary background on mathematics, cryptography, and coding, and an overview on recent applications, such as side channel attacks on smart cards, cloud computing through fully homomorphic encryption, and local pseudo-random generators. The result is a complete and accessible text on the state of the art in single and multiple output Boolean functions that illustrates the interaction between mathematics, computer science, and telecommunications

Up-to-date graduate text on soil physics todayUses simple numerical procedures to solve complex soil physics problemsProvides a close examination of soil's physical environment, and the movement of he

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. W

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-dri

Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Base

Kids learn to code with a deck of instructional cards by creating interactive games, stories, music, and animations with Scratch, a popular visual programming language.Now updated for Scratch 3.0, thi

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully rev

A step-by-step visual guide to creating your own projects using Scratch 3.0.Techy kids will get familiar with Scratch 3.0 using this beginner's guide to coding. Difficult coding concepts become easy and fun to understand as budding programmers build their own projects using Scratch 3.0, the latest software from the world's most popular programming language for beginners.Make a Dino Dance Party or create your own electronic birthday cards. Build games, simulations, and mind-bending graphics as you discover the awesome things computer programmers can do with Scratch 3.0.Coding Projects in Scratch, 2nd Edition uses a visual step-by-step approach to split complicated code into manageable, easy-to-digest chunks, so that the most impressive projects become possible.Suitable for complete beginners, this book will give young readers a solid understanding of programming, preparingthem to create their very own projects from scratch, and even move on to more complex programming languages like Pyt

DescriptionA clear and student-friendly introduction to the fundamentals of PythonIn Starting Out with Python®, 4th Edition, Tony Gaddis’ accessible coverage introduces students to the basics of progr

Understand functional programming concepts and the functional nature of the JavaScript language. Starting with an introduction to functional programming concepts, you will learn the key differences be