Follow me on Twitter. Did not see any obvious grammatical error. The author may need to consider to shift the materials to Python 3. For those who are in python2x/2.7 environment is book is a very good reference. However, given GNU license which is copy-free license, the artistic disadvantages of this book is negligible. The topics are very well put together for that target audience. End of life for python2 was January 1 2020. Reviewed by Elizabeth Milonas, Assistant Professor, New York City College of Technology on 3/30/19, The text covers all areas and ideas of Python comprehensively and thoroughly. For example, opening and reading from text files was introduced briefly in Chapter 9 to enable the analysis of string/text data, but file manipulation itself was more formally covered later, as Chapter 14. The book was very centered, which made it easy to read on multiple devices. Python is becoming increasingly important in its use for scientific and engineering applications. Free Coding Exercises for Python Developers. The molecularity of this book, mainly constructed by chapters, increases the usefulness of this book in classrooms. exercise 13.4. The book is well structured in accordance with the common ways of teaching/learning a programming language in computer science. This book covers a wide range of techniques that are necessary to understand programming in Python. The reader can test each example and have the opportunity to experiment with the exercises provided after every chapter. This book covers most of the primary Python syntax. Having said that, the book was not culturally insensitive or offensive in any way. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. This is a short book, so it does not go into every final detail of the language. I did not find this practice disruptive. Experienced programmers may find themselves skipping sections, while first-time programmers may go back and forth to understand previous concepts. This text is an easy-to-read short volume on the use of Python for coding, that teaches the reader generic skills of good programming. Each unit is succinctly labeled and logically organized within the chapter and also within the book. How many of them are typos? However, this book kindly addresses the complex programming concepts which enable under-resourced students to start learn computing skills. Exercises cover Python Basics, Data structure to Data analytics. Each concept is explained using simple language to allow the reader to feel comfortable learning a programming language. The literature builds gradually to difficult issues, but someone who does not know any programming concepts may struggle for a time before becoming acclimated to its context. Active 3 years, 2 months ago. This book provides a nice overview all necessary materials required to understand Python like a real programmer. The book is still about programming, not Python, but now I think the book gets more leverage from the language. New and potentially difficult concepts are expressed clearly, and when technical terminology is used, it is explicitly defined.

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Think Python is a concise introduction to software design using the Python programming language. Those already familiar with Python are probably aware of the protracted transition between Python 2 and 3 in industry and academia. Last updated on September 11, 2020 | 34 Comments. These Python programming exercises are suitable for any Python developer. End of each chapter has glossary review, very useful. The book is divided into 19 chapters and three appendices. 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 index and glossary provide a clear path to key concepts within the text. There are links with solutions in the book for the reader's benefit as well. When introducing the programming skills, the authors tried to explain that programming always has multiple ways to achieve the designed goal. Chapters are about 10-15 pages long, and appendices are about 5 pages long each. The first few chapters introduce basic concepts needed to understand programming in general. The author went above and beyond with the topic on tkinter. This book provides a nice overview all necessary materials required to understand Python like a real programmer. This book uses dynamic fonts to differentiate a program example from text explaining the current section for ease of reading. Tweet F share in share P Pin. Think Python Exercise 5.2, Check Fermat. Text was easy to navigate, interface is user friendly. The earlier chapters help build the foundation for the later chapters. Practice NumpPy questions such as Array manipulations, numeric ranges, Slicing, indexing, Searching, Sorting, and splitting and more. Terminology is presented, explained and reviewed throughout the chapter and at the end of each chapter in the glossary provided. Python has been widely adopted across many different industries and has become one of today's leading programming languages. This may result in students who are weak in mathematics struggling to understand programming concepts. Practice Python database programming skills by solving the questions step by step. Create a free website or blog at WordPress.com. The book makes use of lots of code examples which is a good feature and helps a lot for student to learn the Python language and the programming. It assumes the reader has no prior experience of Python. The text is error-free and no bias is evident throughout the book. Some can be extremely difficult and often use techniques not yet discussed in the current section. In the literature, the author indicates that thinking like a scientist, more specifically, a computer scientist, “combines some of the best features of mathematics, engineering, and natural science.” This book allows the reader to develop problem-solving skills to think creatively about solutions and enable the reader to express them through programming exercises. Chapters are subdivided with appropriate headings making it easy to read and follow/reference. read more. However, in the context of 'programming' culture, in my view and opinion, it does follow the common traits of disseminating knowledge for the positive influence of making humanity better, to solve problems ethically, morally and the most sacred promiss not to do harm. There is only a small area that discusses syntax, which may create difficulty for first-time programmers. Since Python is a type of interpreter language, some instructions could miss telling how a high-level language is translated into a machine language. This book is an excellent tool for new and seasoned programmers looking to learn a new programming language. Practice and learn the input and output operations in Python. More importantly, the book aims to encourage to learn Python conceptually instead of just learning the syntax of a certain programming language. It would make a good reference book to supplement existing lectures, without being too unwieldy. 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. This made the book feel very welcoming to a large group of people. The book covers the structures and components of the Python programming language thoroughly and effectively. This Python list exercise aims to help Python developers to learn and practice list operations. The solution provided for every question. In true Python fashion, there are occasional references to Monty Python jokes, including strings such as "spam" and "eggs". 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