The Python Workshop: Learn to code in Python and kickstart your career in software development or data science
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產品詳情
- Learn the fundamentals of clean, effective Python coding and build the practical skills to tackle your own software development or data science projectsKey FeaturesBuild key Python skills with engaging development tasks and challenging activitiesImplement useful algorithms and write programs to solve real-world problemsApply Python in realistic data science projects and create simple machine learning modelsBook DescriptionHave you always wanted to learn Python, but never quite known how to start?More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial.The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code.As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior.You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms.By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.What you will learnWrite clean and well-commented code that is easy to maintainAutomate essential day-to-day tasks with Python scriptsDebug logical errors and handle exceptions in your programsExplore data science fundamentals and create engaging visualizationsGet started with predictive machine learningKeep your development process bug-free with automated testingWho this book is forThis book is designed for anyone who is new to the Python programming language. Whether you're an aspiring software engineer or data scientist, or are just curious about learning how to code with Python, this book is for you. No prior programming experience is required.Table of ContentsVital Python – Math, Strings, Conditionals, and LoopsPython StructuresExecuting Python – Programs, Algorithms, and FunctionsExtending Python, Files, Errors, and GraphsConstructing Python – Classes and MethodsThe Standard LibraryBecoming PythonicSoftware DevelopmentPractical Python – Advanced TopicsData Analytics with pandas and NumPyMachine Learning
| Publisher | Packt Publishing |
| Publication date | November 6, 2019 |
| Language | English |
| Print length | 608 pages |
| ISBN-10 | 1839218851 |
| ISBN-13 | 978-1839218859 |
| Item Weight | 1.03 Kilograms |
| Dimensions | 7.5 x 1.37 x 9.25 inches (19.1 x 3.5 x 23.5 cm) |
產品敘述
The Python Workshop: Learn to code in Python and kickstart your career in software development or data science
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English Edition Andrew Bird , Dr Lau Cher Han Editorial Review
The Python Workshop: Learn to code in Python and kickstart your career in software development or data science is a comprehensive guide published by Packt Publishing that spans 608 pages. This book is designed for those eager to gain proficiency in Python, offering in-depth insights suitable for both beginners and seasoned developers. Its structured approach allows readers to dive into practical coding exercises, enhancing their understanding while they build essential skills for their careers. Moreover, the book's clear layout, including engaging examples, empowers learners to grasp complex concepts easily, making coding approachable and enjoyable.
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優點
- Comprehensive guide for beginners and advanced learners
- Engaging projects to reinforce programming skills
- Practical exercises enhance understanding of concepts
- Well-structured content for easy learning
- Clear explanations with real-world examples
缺點
- Might be dense for absolute beginners
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