Groner: Python for Data & Analytics

Python for Data & Analytics

A Business-Oriented Approach

Edition 2.0 | Copyright | Publication Date: October 2024

Daniel Groner, Fordham University

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Overview

Python for Data & Analytics introduces essential programming concepts using Python, pandas, and other packages for the purpose of accessing data and performing analyses, and developing applications. The presentation presumes no prior programming experience. It is designed for introductory and more advanced programming courses in a data analytics, information systems, or business program. To this end, business examples are emphasized throughout. Various topics often covered in a computer-science-oriented course are purposefully not included in this textbook including topics like recursion and sorting algorithms.

Features

Impart data analytics skills
Explore programming to access, prepare, analyze, and present data.

Explore the power and convenience of Python notebooks
Traditional introductions teach computer programming primarily as a sequence of statements called programs. Today, Python is still used in programs but it is also used for interactive data analysis and in a hybrid technique called a notebook. This text introduces all three approaches.

Jumpstart learning with spreadsheet analogies
As appropriate, analogies are presented relating Python concepts to spreadsheets to leverage students' prior knowledge. To watch Professor Groner discuss spreadsheet analogies and videos click here.

Animate learning
Key programs are animated and narrated using "CodeInMotion" videos that reveal the "living and breathing" dynamics of code. (see the "Videos" section.)

Cement understanding
In-class exercises assure that students can apply each successive concept.

Prepare students for business
Highly-relevant examples are drawn from finance, logistics, marketing, accounting, health, and other functional areas. They are real (or realistic), not too complex, and explained in detail.

About the Author

Daniel Groner is an assistant clinical professor of information systems at the Gabelli School of Business at Fordham University. He received his B.S. and M. Eng. degrees in Operations Research from Cornell University, and his MBA from the University of Chicago. He has over 35 years of experience in business analytics systems spanning finance (risk management, portfolio analysis, market intelligence), logistics, and marketing, with a focus on optimization-based models. In 2017, he founded Rose River Software, which develops interactive visualization tools for teaching programming languages. He has also co-authored several books on Java.

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Videos

2-2 Set and display a variable with a label

2-3 Set, reset and display a variable

2-4 Input and display a string variable

2-5 Input and total numbers

2-6 Calculate BMI, given height and weight

3-6 Calculator with 2 Rates: if/else

3-8 CD Calculator with 3 Rates: if/elif/else

3-9 CD Calculator with customer type: if and nesting

4-1 while repetition with squares and cubes

4-2 while repetition – cumulate a set of numbers

4-3 while repetition – find maximum of a set of numbers

4-4 while repetition with a control variable – BMI

4-6 while repetition with a special ending value – BMI

4-8 for repetition with squares and cubes

5-1 Greeting function – 1 input parameter

5-2 Book order cost – 1 input parameter and 1 returned result

5-3 Book order cost – 2 input parameters and 1 returned result

6-1 Translate AQI from number to color

6-4 Calculate Mean of a List, Using for

7-1 Read a line from a file, display to screen

7-2 Using while, read lines from a file, display each line to screen

7-3 Using for, read lines from a file, display each line to screen

8-3 Initials from Names Using find()

8-7 Password Checking

9-1 Build a contact directory from user input

9-3 Dictionary example to lookup phone from email

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