I think this book should not be an intro to computer science coursebook.
Still, it may have readers searching for additional resources to understand concepts not explicitly described. By using Turtle world, I felt like it was more work to describe something that is supposed to be simple. Overall, the book reads best as a brief but comprehensive introduction to computer science principles, with Python as the exemplar language. Since Python is a type of interpreter... However, there is still vague how students become a thinker like a computer scientist.
End of life for python2 was January 1 2020. Each chapter gives the... Basic Python programming concepts are also introduced in the first few... Reviewed by Amy Connolly, Assistant Professor, James Madison University on 3/7/19, Python is a great language for beginners to learn the basics of computer programming. Each chapter has a glossary for the reader to refresh themselves with critical terms they may not understand. The book uses standard and formal terminology and framework in the subject area.
As of now, this page contains 18 Exercises. This book covers a wide range of techniques that are necessary to understand programming in Python. Reviewed by Euisuk Sung, Assistant Professor, New York City College of Technology on 12/4/19, This book covers a wide range of techniques that are necessary to understand programming in Python.
Downey received in 1989 his BS and in 1990 his MA, both in Civil Engineering from the Massachusetts Institute of Technology, and his PhD in Computer Science from the University of California at Berkeley in 1997.
This book could be simple for someone whose English was not their first language. This book provides a nice overview all necessary materials required to understand Python like a real programmer. Category Archives: think python solutions « Older posts. Swampy, code examples, and some solutions are available from thinkpython.com. Practice and Learn the various techniques to generate random data in Python. The book uses python 2x, python has moved to 3x. Did not see any obvious grammatical error. This book seems to be missing answers for the exercises at the end of each chapter, and it doesn't have an opportunity to test the reader's code. The text had good organization of topics. However, this book presents a comparison of the executions between interpreter and compiler languages.
This book covers most of the primary Python syntax. Solve Python String exercise to learn and practice String operations and manipulations.
Topics: random module, secrets module, UUID module.
The author wrote to keep the reader on a clear track to support previous sections. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. For a beginner textbook, I would need to add more explanation of basics and how to think through programming.
The contents of this book are error-free, accurate, and unbiased. Practice and Quickly learn Python necessary skills by solving simple questions and problems. The topics... I mainly focused on the PDF version of the text, which was free of errors. Since the text focuses mainly on Python 2, which does not natively support Unicode strings, there is no discussion of non-Roman languages.
The web support is also excellent. I was especially pleased to see a chapter on graphic user interfaces and the Tkinter library. There are links with solutions in the book for the reader's benefit as well. The topics are very well put together for that target audience. Though the book is open and free, it contains all the important programming skills and examples. This Python loop exercise aims to help Python developers to learn and practice branching and Looping techniques in Python. Also, this book addresses useful libraries in Chapter 9, 10 which can be used to instruct young learners by inspiring visible programming libraries. The grammar in this text is simple to read and straight to the point. There is only a small area that discusses syntax, which may create difficulty for first-time programmers.
• I expanded the discussion of program development plans and basic design patterns. More importantly, the book aims to encourage to learn Python conceptually instead of just learning the syntax of a certain programming language. The examples on most of the topics are great if you already know this material.
The examples remained relevant and straightforward to everyday things you will typically find in the real world.
Free Coding Exercises for Python Developers. Write a function called mul_time that takes a Time object and a number and returns a new Time object that contains the product of the original Time and the number. I applaud the authors' effort to build this copy-free book that can be accessed free for the students who cannot afford expensive textbooks. In true Python fashion, there are occasional references to Monty Python jokes, including strings such as "spam" and "eggs". In fact, one can easily follow the chapters without trouble. Chapters are short, so relatively specific topics such as "Strings", "Files", and "Inheritance" are at the focus of each. The text concisely but thoroughly covers the basics of programming in the Python language, from expressions and functions to file processing and object-oriented programming. The first few chapters introduce basic concepts needed to understand programming in general. The reader can test each example and have the opportunity to experiment with the exercises provided after every chapter.
Also, the logical order of chapters were well organized to be introduced this book to beginners sequentially. This reviewer would have liked an introductory section that describes a step by step installation and use of an editor for Python; however, given the wide choices and the changing environment of editors, this is a minor concern that pales in comparison to the myriad benefits provided by this book. The structure of this book keeps solid consistency throughout the entire chapters. It is appropriate for use as a textbook for an Introductory course for computer science with Python programming. It was a little confusing in places where explanations switch between Python 2 and Python 3.
This may leave the reader to find resources or solutions elsewhere. read more. Then modify the program to count the total number of words in the book, and the number of times each word is used. Since the author has taken the approach of educating the reader on how to think and program like a computer scientist rather than provide a crash course or a recipe-type approach to programming in Python, this book may not become obsolete in the near future. Since the chapters are only 10-15 pages long, small portions of subject matter can be more easily read and understood. There is a defined structure for building on previous programming concepts and provides a section for debugging potential errors the reader will encounter.
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