Introduction to computation and programming in Python - Info and Reading Options
By John V. Guttag
"Introduction to computation and programming in Python" was published by J.V. Guttag in 2012 - Cambridge, Massachusetts], it has 267 pages and the language of the book is English.
“Introduction to computation and programming in Python” Metadata:
- Title: ➤ Introduction to computation and programming in Python
- Author: John V. Guttag
- Language: English
- Number of Pages: 267
- Publisher: J.V. Guttag
- Publish Date: 2012
- Publish Location: Cambridge, Massachusetts]
“Introduction to computation and programming in Python” Subjects and Themes:
- Subjects: ➤ Python (Computer program language) - Study and teaching
- Places: Massachusetts - Cambridge
Edition Specifications:
- Pagination: x, 267 pages
Edition Identifiers:
- The Open Library ID: OL32109253M - OL24272660W
- Online Computer Library Center (OCLC) ID: 813164985
- ISBN-13: 9780988368309
- ISBN-10: 0988368307
- All ISBNs: 0988368307 - 9780988368309
AI-generated Review of “Introduction to computation and programming in Python”:
"Introduction to computation and programming in Python" Table Of Contents:
- 1- 1.
- 2- Getting started -- -- 2.
- 3- Introduction to Python -- -- 3.
- 4- Some simple numerical programs -- -- 4.
- 5- Function and abstraction by specification -- -- 5.
- 6- Structured types, mutability, and higher-order functions -- -- 6.
- 7- Testing and debugging -- -- 7.
- 8- Exceptions and assertions -- -- 8.
- 9- Classes and object-oriented programming -- -- 9.
- 10- A simplistic introduction to algorithmic complexity -- -- 10.
- 11- Some simple algorithms and data structures -- -- 11.
- 12- Plotting and more about classes -- -- 12.
- 13- Stochastic programs, probability, and statistics -- -- 13.
- 14- Random walks and more about data visualization -- -- 14.
- 15- Monte Carlo simulation -- -- 15.
- 16- Understanding experimental data -- -- 16.
- 17- Lies, damned lies, and statistics -- -- 17.
- 18- Knapsack and graph optimization problems -- -- 18.
- 19- Dynamic programming --
- 20- Python 2.7 quick reference.
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