Python workbook: a brief introduction with exercises and solutions
Series: Texts in computer sciencePublication details: Springer Nature, 2019. Switzerland:Description: x, 219 p. ; hb; 24 cmISBN:- 9783030188726
- 005.133 STE
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
![]() |
IIT Gandhinagar General Stacks | General | 005.133 STE (Browse shelf(Opens below)) | 1 | Available | 029597 |
Browsing IIT Gandhinagar shelves, Shelving location: General Stacks, Collection: General Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
005.133 MIL Python: programming in context | 005.133 NYL Neural data science: a primer with MATLAB® and Python™ | 005.133 PUR Hands-on neural networks with Keras | 005.133 STE Python workbook: a brief introduction with exercises and solutions | 005.133 VOR Computer coding python games for kids | 005.2 MAZ ARM assembly language programming & architecture | 005.437 AND Metainterface: the art of platforms, cities, and clouds |
Includes index.
While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Features: Uses an accessible writing style and easy-to-follow structure Includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines Presents the solutions to approximately half of the exercises Provides annotations alongside the solutions, which explain the approach taken to solve the problem and relevant aspects of Python syntax Offers a variety of exercises of different lengths and difficulties Contains exercises that help the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions Undergraduate students undergoing their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs. Dr. Ben Stephenson is a Senior Instructor in the Department of Computer Science at the University of Calgary.
There are no comments on this title.