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Core python programming
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ISBN: 9780132269933 0132269937 Year: 2007 Publisher: Upper Saddle River, NJ London : Prentice Hall,

Programming Python
Author:
ISBN: 9780596009250 0596009259 Year: 2008 Publisher: Sebastopol, CA : O'Reilly,


Book
Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python
Authors: --- ---
ISBN: 9781492072942 Year: 2020 Publisher: Sebastopol O'Reilly Media

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Abstract

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.


Book
Python Programming Fundamentals
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ISBN: 9781849965378 1849965366 9781849965361 1849965374 Year: 2011 Publisher: London : Springer London : Imprint: Springer,

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Abstract

Computer programming is a skill that can bring great enjoyment from the creativity involved in designing and implementing a solution to a problem. This classroom-tested and easy-to-follow textbook teaches the reader how to program using Python, an accessible language which can be learned incrementally. Through an extensive use of examples and practical exercises, students will learn to recognize and apply abstract patterns in programming, as well as how to inspect the state of a program using a debugger tool. Features: Contains numerous examples and solved practice exercises designed for an interactive classroom environment Highlights several patterns which commonly appear in programs, and presents exercises that reinforce recognition and application of these patterns Introduces the use of a debugger, and includes supporting material that reveals how programs work Presents the Tkinter framework for building graphical user interface applications and event-driven programs Provides helpful additional resources for instructors at the associated website: http://cs.luther.edu/~leekent/CS1 This hands-on textbook for active learning in the classroom will enable undergraduates in computer science to develop the necessary skills to begin developing their own programs. It employs Python as the introductory language due to the wealth of support available for programmers. Dr. Kent D. Lee is Associate Professor of Computer Science at the Department of Computer Science at Luther College, Decorah, Iowa, USA. He is the author of the successful Springer textbook, Programming Languages: An Active Learning Approach.

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