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Head First Learn to Code: A Learner's Guide to Coding and Computational Thinking

Freeman, Eric

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مشخصات کتاب

نویسنده
Freeman, Eric
سال انتشار
۲۰۱۸
فرمت
EPUB
زبان
انگلیسی
حجم فایل
۲۵۶٫۳ مگابایت
شابک
9781491958810، 9781491958865، 1491958812، 1491958863

دربارهٔ کتاب

**What will you learn from this book?** It’s no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With __Head First Learn to Code__ you’ll learn how to __think computationally__ and how to __write code__ to make your computer, mobile device, or anything with a CPU __do things for you.__ Using the Python programming language, you’ll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity. **Why does this book look so different?** Based on the latest research in cognitive science and learning theory, __Head First Learn to Code__ uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. Getting started : thinking computationally -- Know your value : simple values, variables, and types -- Decisive code : Booleans, decisions, and loops -- Providing some structure : lists and iteration -- Getting functional : functions and abstraction -- Putting some order in your data : sorting and nested iteration -- Putting it all together : text, strings, and heuristics -- Getting modular : modules, methods, classes and objects -- Beyond iteration and indices : recursion and dictionaries -- Persistence : saving and retrieving files -- You really should get out more : using web APIs -- Getting interactive : widgets, events and emergent behavior -- A trip to Objectville : object-oriented programming -- Appendix : The Top Ten Topics (we didn't cover) : leftovers.

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