Coding Unlocked Scratch And Python The Basics
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Coding Unlocked: Scratch and Python: the basics
Coding Unlocked is a fun and accessible coding book, guiding children through simple coding concepts and equipping them with the knowledge and skills to become active participants in a digital world. In line with the new National Curriculum, the book will teach two programming languages in parallel, moving sequentially through key coding concepts.
DIY Digital Skills: Build a Career in Tech from Scratch
Author: Guillaume Lessard
language: en
Publisher: iD01t Productions
Release Date: 2025-01-10
Unlock the limitless potential of the digital world with DIY Digital Skills: Build a Career in Tech from Scratch. This comprehensive guide takes you on an empowering journey, transforming your aspirations into reality. Whether you’re a tech enthusiast, career changer, or complete beginner, this eBook is your ultimate blueprint to mastering the foundational skills needed for today’s high-demand tech careers. From setting up your first tech-friendly workspace to building your own automation scripts, this book breaks down complex concepts into simple, actionable steps. Discover the magic of coding with Python, create stunning web pages with HTML, CSS, and JavaScript, and harness the power of data analysis and visualization to unlock insights. Each chapter is packed with practical examples, real-world applications, and insider tips to fast-track your success. You’ll learn how to: Set up for success with essential tools and platforms. Build responsive, visually stunning websites from scratch. Master Python programming to automate tasks and solve problems. Analyze and visualize data to make impactful decisions. Create workflows and save hours with cutting-edge automation tools. Craft a standout resume, develop a portfolio, and ace your interviews. Launch a freelancing career and secure high-paying projects. Whether your dream is to land a tech job, build your own startup, or create a freelancing empire, DIY Digital Skills equips you with the knowledge and confidence to make it happen. This isn’t just a book—it’s a launchpad to a future brimming with opportunities. Take charge of your digital destiny. Start your journey today with DIY Digital Skills: Build a Career in Tech from Scratch. Your future self will thank you.
Modeling and Simulation of Everyday Things
With Python, C++, FORTRAN, and a friendly conversational tone peppered with attempted humor, Modeling and Simulation of Everyday Things takes us on a journey through constructing models and simulations of systems and processes in everyday life and beyond. Readers can access an example‐packed online repository of programs in each of the three languages, including seldom covered work in generalized geometries and 3D. This second edition is a wonderful confluence of development of Python and C++ applications and will cultivate a broad perspective in the readership through having translations of major programs available in Python, C++, and FORTRAN (as we move forward, software engineers and researchers are recognizing the value of legacy programming). In addition to leveraging the best of the three languages, the readership can explore versatility in visualization by using native Python graphics as well as POV Raytracer and third‐party animation tools. We approach modeling of a system by introducing the theoretical framework of the system, followed by its discretized form, and then with narrated programs and sample results that also appear in the online repository. Readers will be able to critically think through constructing models and simulations of a vast array of systems, interpreting results, and visualizing them (which includes examples for visually and auditorily impaired individuals). Most importantly, their confidence will propel them forward to meet the challenges of the field and to think "outside the book". Leveraging the best of three coding languages, two tracks for visualization, a conversational tone, and numerous examples, this book is extremely versatile and can be used by students from high school through science undergraduates in 2‐year and 4‐year institutions. The text is also ideal for use in Data Science as well as Professional Science Master’s programs.