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Dead Simple Python: Idiomatic Python for the Impatient Programmer
85% of respondents would recommend this to a friend
XOF 40890
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Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code.
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Product Details
- Thorough introduction to every feature of the Python language for existing programmers
- Dives deep into idiomatic Python patterns for writing professional Python programs quickly
- Covers Python syntax, dynamic data typing, functional and object-oriented programming, generator expressions, and concurrency
- Teaches packaging, distribution, debugging, and testing of Python projects
- Focuses on making Python's dynamic typing work for cleaner, adaptive code and advanced iteration techniques
- Helps in designing classes and functions, improving code's responsiveness, and structuring projects for production-grade testing and distribution
| Publisher | No Starch Press |
| Publication date | November 22, 2022 |
| Language | English |
| Print length | 752 pages |
| ISBN-10 | 1718500920 |
| ISBN-13 | 978-1718500921 |
| Item Weight | 13 ounces (368.55 grams) |
| Dimensions | 7 x 1.63 x 9.25 inches (17.8 x 4.1 x 23.5 cm) |
Product Description
Dead Simple Python: Idiomatic Python for the Impatient Programmer
Customer Questions & Answers
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Question:
What is 'Dead Simple Python: Idiomatic Python for the Impatient Programmer' about?
Answer: This book simplifies Python programming for those who may be overwhelmed by more complex resources. It provides a straightforward approach, focusing on idiomatic expressions and best practices that enhance code efficiency and readability. By emphasizing practical examples and hands-on exercises, it aids programmers at all levels, particularly those who desire to grasp Python's essence quickly. -
Question:
Who is the target audience for this book?
Answer: The book targets beginner to intermediate programmers who are looking to refine their Python skills. It's ideal for those who may have experience in other programming languages but need a clear and concise guide to become proficient in Python. With its emphasis on idiomatic usage, it’s also a resource for self-taught developers aiming to elevate their coding practices. -
Question:
What themes are covered in the book?
Answer: The book covers various themes including Python syntax, data structures, control flow, and functions, while also stressing the importance of writing clean and maintainable code. It explores idiomatic traits that can make Python programming more intuitive. This thematic approach helps reinforce the learning of core concepts while fostering good coding habits. -
Question:
How does this book differ from other Python programming books?
Answer: Unlike many Python programming books that can delve into overly complex examples and jargon-heavy content, this book emphasizes simplicity and clarity. It embodies a hands-on approach, encouraging readers to engage directly with code examples. This focus on practical application over theory ensures that concepts are quickly grasped and can be applied in real-world scenarios. -
Question:
Are there any prerequisites for reading 'Dead Simple Python'?
Answer: While there are no strict prerequisites, some familiarity with programming concepts can be beneficial. A basic understanding of programming principles will help readers grasp Python concepts quicker. Essentially, anyone from complete beginners to those with some coding experience can benefitting from the clear explanations and useful exercises provided throughout the book. -
Question:
What kind of exercises can I expect in the book?
Answer: The book features a range of practical exercises designed to reinforce the concepts discussed in each chapter. These exercises encourage hands-on coding practice, which is essential for retention and mastery of Python. From mini-projects to code challenges, readers can apply their knowledge to solve problems and implement solutions in idiomatic Python style. -
Question:
Is this book suitable for self-learners?
Answer: Yes, 'Dead Simple Python' is ideally suited for self-learners due to its comprehensive explanations and organized structure. The book breaks down complex information into digestible sections, making it easier for independent learners to follow along and grasp key concepts. Additionally, the practical examples further aid self-study by allowing learners to practice coding in real-time. -
Question:
Does the book cover advanced Python topics?
Answer: While 'Dead Simple Python' primarily focuses on foundational aspects and idiomatic practices of Python, it paves the way for deeper exploration into advanced topics. Readers are encouraged to build on the knowledge gained from the book and venture into more complex areas such as web development, data science, and machine learning with stronger coding skills and better coding practices. -
Question:
Can I use 'Dead Simple Python' for programming interviews preparation?
Answer: Absolutely! The principles and idiomatic practices outlined in this book make it an excellent preparatory resource for programming interviews. Familiarity with writing clean and efficient code is crucial in technical assessments. The hands-on exercises enhance problem-solving skills essential for tackling interview coding challenges, making this book a valuable tool in your preparation arsenal. -
Question:
Where can I buy 'Dead Simple Python: Idiomatic Python for the Impatient Programmer' in Burkina Faso?
Answer: You can purchase 'Dead Simple Python: Idiomatic Python for the Impatient Programmer' through Ubuy, a reliable online retailer that provides a seamless shopping experience. Ubuy often features a wide selection of books and offers convenient access for customers in Burkina Faso to get their desired titles delivered to their doorstep.
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XOF 40890
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Features & Benefits
- Thorough introduction to every feature of Python
- Specifically tailored for impatient programmers
- Focuses on idiomatic Python patterns
- Covers advanced topics like concurrency
- Teaches how to package, distribute, debug, and test Python projects
- Helps improve code's responsiveness and performance with asynchrony, concurrency, and parallelism
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