Fundamentals of Python programming

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features: Demonstrates a quick review on Python, NumPy, and TensorFlow fundamentals.Explains and provides examples of deploying TensorFlow and Keras in several projects.Explains the fundamentals of Artificial Neural Networks (ANNs).Presents several examples and applications of ANNs.Learning the most popular DL algorithms features.Explains and provides examples for the DL algorithms that are presented in this book.Analyzes the DL network's parameter and hyperparameters.Reviews state-of-the-art DL examples.Necessary and main steps for DL modeling.Implements a Virtual Assistant Robot (VAR) using DL methods.Necessary and fundamental information to choose a proper DL algorithm.Gives instructions to learn how to optimize your DL model IN PRACTICE.This book is useful for undergraduate and graduate students, as well as practitioners in industry

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making i

This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.

Most books on programming focus on the skill level of the reader rather then the topic. This book is ideal for both the experienced programmer, or the absolute beginner looking for an introduction to

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

Learn the fundamentals of Java 2 programming from renowned Java genius Herb Schildt. Discover why Java is the preeminent language of the Internet, how to use object-oriented programming, and how to wr

Here's your ticket to a world of adventures with Minecraft and programming.Learn how to extend Minecraft and create a new gaming experience, by exploring the magical world of Minecraft programming. Adventures in Minecraft, like other books in the highly successful Adventures series, is written especially for 11- to 15-year-olds. With this book you will learn new programming skills while having fun with Minecraft!Minecraft programming experts David Whale and Martin O'Hanlon walk you step-by-step through everything you need to know to:Get started writing Minecraft programs in Python on your PC, Mac, or Raspberry PiBuild houses and other structures in the blink of an eye, and make a 3D duplicating machineWrite interactive games like a field that charges you rent, and a treasure hunt using magic vanishing bridgesBuild custom game control panels using simple electronic circuitsEasily build huge 2D and 3D structures such as spheres and pyramidsBuild intelligent objects like a massive Minecra

A step-by-step visual guide to building your own computer games using Scratch 3.0Scratch 3.0 has landed, so stay ahead of the curve with this fully updated guide for beginner coders. Kids will love the step-by-step, visual approach that makes even the most difficult coding concepts fun and easy to understand. Coding Games in Scratch, 2nd Edition blends coding theory with the practical task of creating exciting games. Children will learn the fundamentals of computer programming by showing them how to build their own games. Coding theory is taught through practical tasks, so young programmers don't just learn how computer code works, but also why it's done that way. Jumpy Monkey will show them how to simulate gravity in their games, or give Dog's Dinner a go to learn about collision detection. Once they've whizzed through the book, the possibilities are endless!

In this book I will cover the basic fundamentals of programming for a CNC mill. I will be going over several subjects such as:• Fractions and decimals• The Cartesian coordinate system• Absolute and in

Daniel Liang teaches concepts of problem-solving and object-oriented programming using a fundamentals-first approach. Beginning programmers learn critical problem-solving techniques then move on to gr

If you are a Python developer with some experience of working on scientific, mathematical, and statistical applications and want to gain an expert understanding of NumPy programming in relation to sci

This comprehensive book not only covers the fundamentals of real-time embedded systems such as hardware components, real-time operating systems, real-time programming, embedded memory and real-time re