MSA Python Bootcamp
- Christopher Simpkins, firstname.lastname@example.org
IMPORTANT: Include [MSA Bootcamp Student] in the subject of course-related email, e.g., “Subject: [MSA Bootcamp Student] functools Question.” Professors are deluged with email. If we don’t respond, don’t take it personally. Just resend your email with a friendly reminder.
This course will provide you with the Python programming competency necessary to begin using Python as a fundamental tool in computing activities such as data analytics.
Student in the class will achieve the following learning objectives:
(Competency) Students will be able to:
- Write programs using various data types, and using basic techniques such as assignment, function calls, while loops, for loops, and conditionals.
- Use and manipulate several language provided data structures such as: Lists, Dictionaries, and Strings.
- Read and write data to and from text files, both as plain text and in structured formats (such as CSV).
- Read a textual representation of numerical data and convert it to the appropriate (integer/floating point) data type.
- Implement simple business or mathematical algorithms (calculating interest payments, averaging a row of data, calculating standard deviation) into a program.
- Use compound data structures provided by the programming language such as lists, arrays, and dictionaries to hold sequences or sets of data, including two-dimensional (tabular) data.
- Use objects and associated methods provided by the programming language.
- Write programs that are easy to understand so that others may modify and improve them.
(Movement) Students will increase their:
- Familiarity with compound data structures (lists, arrays, dictionaries), including nested data structures (multi-dimensional arrays, etc…) and indexing into multi-dimensional data structures.
- Speed and accuracy in converting problem statements into programs.
- Understanding of and ability to quickly use basic program structures such as iteration, conditionals, and function calls due to repeated practice of these concepts.
- Ability to break a medium sized problem down into smaller parts and solve each sub-problem individually.
- Ability to test and debug programs.
(Experience) Students will:
- Practice the process of constructing moderately sized (100-300 line) programs from written requirements.
- Deal with data that may include missing elements or malformed representations.
- Work in groups to solve programming problems.
Note: O’Reilly books listed below are available through Georgia Tech’s Safari Onine subscription. See http://www.library.gatech.edu/search/ebooks.php
Required Text: Introducing Python, by Bill Lubanovic, O’Reilly Media, November 2014.
- Print ISBN: 978-1-4493-5936-2, ISBN 10: 1-4493-5936-1
- Ebook ISBN: 978-1-4493-5935-5, ISBN 10: 1-4493-5935-3
- Think Python, 2nd Edition, by Allen B. Downey, O’Reilly Media, December 2015. Available free at http://greenteapress.com/wp/think-python-2e/ and from O’Reilly at http://shop.oreilly.com/product/0636920045267.do
- Python in a Nutshell: http://shop.oreilly.com/product/0636920012610.do
- Fluent Python (Advanced): http://shop.oreilly.com/product/0636920032519.do
- Flask Web Development: http://shop.oreilly.com/product/0636920031116.do
- Python Data Science Handbook: http://shop.oreilly.com/product/0636920034919.do
- Programming in Python 3 (2nd edition) : Mark Summerfield - Addison Wesley, ISBN: 0-321-68056-1
- Dive into Python 3 – Mark Pilgrim – Apress ISBN: 978-1430224150
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