Products related to Practice:
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Software Development in Practice
Software development is becoming recognised more and more as an essential skill and profession in today's increasingly digital world.This book is a pragmatic guide to software development in practice.It explores the inner workings of software development in the context of the industry, covering good practice for software developers and providing you with tools and practical understanding you'll need to advance within the software development world.
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Coding Places: Software Practice in a South American City
Coding Places: Software Practice in a South American City
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Learning and Development Practice in the Workplace
Learning and Development Practice in the Workplace is the ideal textbook for anyone studying CIPD L&D qualifications and apprenticeships at Level 3 or Level 5, as well as for practitioners new to an L&D role. This book covers what is required of an L&D professional and how to meet and exceed these expectations, how to align L&D activity with organisational strategy and, crucially, how to identify learning needs and design effective L&D practice. This new edition of Learning and Development Practice in the Workplace has been fully updated, reflecting the new CIPD Profession Map, and now has dedicated chapters on the different approaches to learning delivery, including face-to-face training and facilitation, technology-based learning, coaching, mentoring and social and collaborative learning.There is also expert guidance on learner engagement including insights from neuroscience and psychology, as well as advice on evaluating the impact of L&D.With case studies, activities and examples throughout, this new edition is an indispensable guide for students and new practitioners alike.Online supporting resources include lecture slides, annotated web links and self-test questions.
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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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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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How can one practice programming?
One can practice programming by starting with the basics of a programming language, such as learning syntax and common programming concepts. It is important to work on small projects or coding challenges to apply what you have learned and improve your problem-solving skills. Additionally, collaborating with other programmers, joining coding communities, and seeking feedback on your code can help you learn and grow as a programmer. Consistent practice and dedication are key to mastering programming skills.
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How do I practice web development?
To practice web development, you can start by learning the basics of HTML, CSS, and JavaScript through online tutorials, courses, or books. Once you have a good understanding of these languages, you can practice by building simple websites or web applications. You can also contribute to open-source projects on platforms like GitHub, participate in coding challenges, and seek feedback from experienced developers to improve your skills. Additionally, staying updated with the latest web development trends and technologies will help you continue to practice and improve your skills.
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How can one practice learning efficiently?
One can practice learning efficiently by setting clear goals and objectives, breaking down the material into smaller, manageable chunks, and using active learning techniques such as summarizing, teaching others, and self-testing. Additionally, creating a conducive learning environment, minimizing distractions, and taking regular breaks can help improve focus and retention. It's also important to stay organized, prioritize tasks, and seek feedback to continuously improve the learning process.
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Introduction to Community Development : Theory, Practice, and Service-Learning
Historical context, theoretical grounding, critical issues perspective, and the "how-to" for community developmentThis collection of work by leading community development scholars presents students with a theoretical and practical introduction to the field.The text progresses seamlessly from a theoretical overview to a historical overview to three approaches to community development (ecological, interactional, and structural-functional), then explores the practice of community development along with technical assistance, action research, evaluation research, and the role of local organizations, local leadership, and coalitions.The book concludes with critical issues, such as rural development, inner-city development, youth in community development, health care, public schools, and sustainable development. Key features include:New community development intervention models, using examples from recent events to demonstrate the strengths and challenges of such models Community service-learning activities, providing useful examples and case studies of successful service-learning programs in communities A hierarchy of learning activities and exercises within each chapter, ensuring that students learn how to apply concepts to real-world issues Relevant cases of successful community development interventions, giving students examples of 'best practices'Major trends, challenges, and prospects for the future in community development, helping students identify key issues and opportunities Instructor Teaching Site: Password-protected resources contain learning modules, developed by the authors, which include exercises and activities which reinforce chapter content, and demonstrate application of concepts in real-life communities. Student Study Site: Open-access study materials include chapter self-quizzes to aid content learning. This comprehensive, introductory survey text is designed for upper-level undergraduate and graduate courses in Community Development, Urban Studies, Rural Development, and Introduction to Service Learning found in departments of sociology, public administration, management, and social work.
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Learning Journals : A Handbook for Reflective Practice and Professional Development
Fully updated with important new theory and practical material, this second edition of Learning Journals offers guidance on keeping and using journals and gives step-by-step advice on integrating journal writing on taught courses, in training and professional development and in supporting personal development planning (PDP) activities.Key topics covered include:the nature of learning journals and how we learn from them the broad range of uses of learning journals, including portfolios and personal and professional development the depth and quality of reflection in learning journals the assessment of learning journals and reflective writing the use of narrative and story-telling techniques in journals.With useful exercises and activities that enhance learning journal work in a structured manner, Learning Journals is invaluable reading for teachers and students in higher education, for all professionals, particularly those working in the health services and business and training and for all those who want to learn more about keeping a fulfilling personal journal.
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Learning and Development Practice in the Workpla - The Complete Guide
Learning and Development Practice in the Workpla - The Complete Guide
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Software Architecture in Practice
The Definitive, Practical, Proven Guide to Architecting Modern Software--Fully Updated with New Content on Mobility, the Cloud, Energy Management, DevOps, Quantum Computing, and More Updated with eleven new chapters, Software Architecture in Practice, Fourth Edition, thoroughly explains what software architecture is, why it's important, and how to design, instantiate, analyze, evolve, and manage it in disciplined and effective ways. Three renowned software architects cover the entire lifecycle, presenting practical guidance, expert methods, and tested models for use in any project, no matter how complex.You'll learn how to use architecture to address accelerating growth in requirements, system size, and abstraction, and to manage emergent quality attributes as systems are dynamically combined in new ways. With insights for utilizing architecture to optimize key quality attributes--including performance, modifiability, security, availability, interoperability, testability, usability, deployability, and more--this guide explains how to manage and refine existing architectures, transform them to solve new problems, and build reusable architectures that become strategic business assets. Discover how architecture influences (and is influenced by) technical environments, project lifecycles, business profiles, and your own practicesLeverage proven patterns, interfaces, and practices for optimizing quality through architectureArchitect for mobility, the cloud, machine learning, and quantum computingDesign for increasingly crucial attributes such as energy efficiency and safetyScale systems by discovering architecturally significant influences, using DevOps and deployment pipelines, and managing architecture debtUnderstand architecture's role in the organization, so you can deliver more value Register your book for convenient access to downloads, updates, and/or corrections as they become available.See inside book for details.
Price: 51.99 £ | Shipping*: 0.00 £
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On which platforms do you practice programming?
I practice programming on various platforms such as GitHub, LeetCode, HackerRank, and Codecademy. These platforms offer a range of coding challenges, projects, and tutorials that help me improve my programming skills. Additionally, I also use integrated development environments (IDEs) like Visual Studio Code and PyCharm for writing and testing code.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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Should one also practice handwriting when learning Japanese?
Yes, practicing handwriting when learning Japanese can be beneficial for several reasons. It can help improve your memory retention, reinforce your understanding of the characters, and enhance your overall language skills. Additionally, handwriting can also help you become more familiar with the stroke order and proper writing techniques, which can be important for reading and writing in Japanese. Overall, incorporating handwriting practice into your Japanese learning routine can be a valuable tool for mastering the language.
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What is the significance of emotional development for practice?
Emotional development is significant for practice because it impacts how individuals interact with others, manage stress, and make decisions. In a practice setting, emotional development can influence how clients respond to interventions and how practitioners build rapport and trust with them. Understanding emotional development can also help practitioners recognize and address underlying emotional issues that may be contributing to a client's presenting concerns. Additionally, emotional development is important for practitioners to manage their own emotions and maintain professional boundaries in their work with clients.
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