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- Author: H Bhasin
- Publisher: Mercury Learning and Information
- Year: 2018
- Pages: 450
- ISBN-10: 1683923537
- ISBN-13: 9781683923534
- Format: 17.8 x 22.6 x 2.8 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
This book is designed for use as a primary introduction to Python and can be used as an introductory text or as a resource for professionals in industry. The book has been divided into four sections. The first section deals with the language fundamentals, primarily the procedural part of the language, the second introduces the object-oriented paradigms, the third section deals with data structures, and the last is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi-threading have been introduced in the appendices.
FEATURES
- Includes sections dedicated to data structures
- Offers in-depth treatment of topics such as classes, inheritance, BST, and NumPy
- Introduces topics like Matplotlib and PIL
- Contains exercises for practice and a review of essential programming concepts
EXTRA 10 % discount with code: EXTRA
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- Author: H Bhasin
- Publisher: Mercury Learning and Information
- Year: 2018
- Pages: 450
- ISBN-10: 1683923537
- ISBN-13: 9781683923534
- Format: 17.8 x 22.6 x 2.8 cm, minkšti viršeliai
- Language: English English
This book is designed for use as a primary introduction to Python and can be used as an introductory text or as a resource for professionals in industry. The book has been divided into four sections. The first section deals with the language fundamentals, primarily the procedural part of the language, the second introduces the object-oriented paradigms, the third section deals with data structures, and the last is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi-threading have been introduced in the appendices.
FEATURES
- Includes sections dedicated to data structures
- Offers in-depth treatment of topics such as classes, inheritance, BST, and NumPy
- Introduces topics like Matplotlib and PIL
- Contains exercises for practice and a review of essential programming concepts
Reviews