Products related to Programming:
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Learning Object-Oriented Programming
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UNO R4 minima/wifi edition development board For Arduino programming learning controller
UNO R4 minima/wifi edition development board For Arduino programming learning controller
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Learning Scientific Programming with Python
Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science and engineering.Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly.Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis.The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples.A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study.This textbook represents a targeted package for students requiring a solid foundation in Python programming.
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Programming Rust : Fast, Safe Systems Development
Systems programming provides the foundation for the world's computation.Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used.The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads. With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust.Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency. You'll learn:Rust's fundamental data types and the core concepts of ownership and borrowingHow to write flexible, efficient code with traits and genericsHow to write fast, multithreaded code without data racesRust's key power tools: closures, iterators, and asynchronous programmingCollections, strings and text, input and output, macros, unsafe code, and foreign function interfacesThis revised, updated edition covers the Rust 2021 Edition.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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What is a programming education?
A programming education is the process of learning how to write, design, and implement computer programs using various programming languages and tools. It involves understanding the fundamental concepts of programming, such as algorithms, data structures, and problem-solving techniques. A programming education also includes learning how to use different programming languages, frameworks, and libraries to develop software applications and systems. Additionally, it involves gaining practical experience through hands-on projects and exercises to apply the knowledge gained in real-world scenarios.
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How can one continue learning programming?
One can continue learning programming by taking online courses or tutorials on platforms like Coursera, Udemy, or Codecademy. Joining coding communities and forums can also help in learning from others and getting support. Additionally, working on personal projects and practicing regularly can further enhance programming skills. Finally, staying updated with the latest programming languages and technologies through blogs, podcasts, and attending workshops can also contribute to continuous learning.
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How do I start learning programming?
To start learning programming, you can begin by choosing a programming language to focus on, such as Python, Java, or JavaScript. Next, familiarize yourself with the basic concepts of programming, such as variables, data types, loops, and functions. There are many online resources available, such as tutorials, courses, and coding platforms, that can help you learn programming at your own pace. Practice coding regularly and work on small projects to apply what you have learned and improve your skills.
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Learning Python : Powerful Object-Oriented Programming
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book.Based on author Mark Lutz's popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python.It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow self-paced tutorial gets you started with Python 3.12 and all other releases in use today.With a pragmatic focus on what you need to know, it also introduces some advanced language features that have become increasingly common in Python code. This book helps you:Explore Python's built-in object types such as strings, lists, dictionaries, and filesCreate and process objects with Python statements, and learn Python's syntax modelUse functions and functional programming to avoid redundancy and maximize reuseOrganize code into larger components with modules and packagesCode robust programs with Python's exception handling and development toolsApply object-oriented programming and classes to make code customizableSurvey advanced Python tools including decorators, descriptors, and metaclassesWrite idiomatic Python code that runs portably across a wide variety of platforms
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Android Programming For Beginners : The Simple Guide to Learning Android Programming Fast!
ANDROID PROGRAMMING Android programming is a great skill for any aspiring computer programmer to have. Being able to create apps for Android can be fun, but also lucrative. Wouldn't it be great to create the next big app? While this doesn't happen often, it's definitely a possibility! Regardless if this is your goal or not, developing Android apps is super fun and enjoyable! This book is aimed at complete beginners to Android programming. It takes you through everything you need to know to begin making apps! It takes you step by step through the creation of your very first app, and helps you to hit the ground running! Here Is What You'll Learn About...History Of Android,Android's Architecture,App Development Preparation,Programming With JAVA & XML,How To Use Android Studio,Your First App,Editing & Distributing Your App,Much, Much More!
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Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
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Learning Java Programming in Clara‘s World
This book introduces the key concepts of Java programming through the eyes of a small ladybug called Clara.Clara is a fun and extremely obedient insect, whose journey starts with limited skills.Readers learn programming by making Clara move around and manipulate objects in her world.As the book progresses, Clara becomes more intelligent and acquires new skills and (together with readers) learns by tackling some of the world’s greatest challenges. The book explains programming concepts through real-world problems such as launching rockets into space, automatically patching potholes, developing a vacuum cleaner robot, simulating projectile motion, dynamically avoiding obstacles, delivering mail, etc.Every chapter of the book starts by presenting a challenge and then continues to explain new programming concepts with the focus on tackling this challenge.Focusing the new material explanation on these challenges helps to remind the readers of how this material is connected with the problems that they may encounter in the real world and makes it easier to relate to. You can explore all programming challenges presented in this book on the Clara’s World website.Every programming problem covered in the book has a corresponding link to a problem template (for those readers willing to attempt the problem themselves), the link to the solution of this problem and a video recording of us solving this problem step-by-step.In addition, at the end of each chapter there is a link to fun exercises that readers are recommended to complete.
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Should one still focus on learning traditional programming languages or specialize in web development?
It ultimately depends on an individual's career goals and interests. Traditional programming languages such as Java, C++, and Python are still widely used in various industries and can provide a strong foundation in computer science principles. On the other hand, specializing in web development can be a lucrative career path, as the demand for web developers continues to grow. It may be beneficial to have a strong understanding of traditional programming languages while also gaining expertise in web development to have a well-rounded skill set.
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What tips are there for learning programming?
Some tips for learning programming include starting with the basics and building a strong foundation, practicing regularly to reinforce your skills, breaking down complex problems into smaller, manageable tasks, seeking help and resources online or from experienced programmers, and working on real-world projects to apply your knowledge in practical scenarios. Additionally, staying patient and persistent, being open to learning from mistakes, and staying curious and exploring new technologies can also help in mastering programming.
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What are some tips for learning programming?
1. Start with the basics: Begin by learning the fundamental concepts of programming such as variables, data types, loops, and conditional statements. 2. Practice regularly: Programming is a skill that requires consistent practice. Set aside dedicated time each day to work on coding exercises and projects. 3. Break down problems: When faced with a coding challenge, break it down into smaller, manageable parts. This will make it easier to tackle and solve the problem. 4. Seek help and resources: Utilize online tutorials, forums, and communities to seek help and learn from others. There are plenty of resources available for free or at a low cost. 5. Build projects: Apply your learning by building real-world projects. This will help you solidify your understanding and showcase your skills to potential employers.
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What are the difficulties in learning programming?
Learning programming can be challenging due to its abstract and logical nature, which may be difficult for some individuals to grasp. Additionally, the vast amount of programming languages and concepts can be overwhelming for beginners. Debugging and troubleshooting errors can also be frustrating and time-consuming. Finally, staying motivated and persistent in the face of complex problems and setbacks can be a challenge for some learners.
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