09_c-TitanicERROR.ipynb
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Open student internships
at the NASA Ames Research Center
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# | Assigned | Due | Assignment |
---|---|---|---|
1 | Feb 1 | Feb 8 | Initial program and notebook |
2 | Feb 8 | Feb 15 | If statements and loops |
3 | Feb 15 | Feb 22 | Watering Plans |
4 | Feb 22 | Feb 29 | Monty Hall Puzzle |
5 | Feb 29 | Mar 7 | Dictionaries and Sets |
6 | Mar 7 | Mar 14 | Matrix Multiplication with numpy |
7 | Mar 14 | Mar 21 | SJSU Administrators and Professors |
8 | Mar 21 | Mar 28 | Simple Data Analysis |
9 | Mar 28 | Apr 11 |
Roman Numerals
Expressions: expressions.txt Test notebook: RomanNumeralTests.ipynb |
10 | Apr 11 | Apr 18 |
Dataframes and Simple Bar Charts
Input data file: covid_data.csv |
11 | Apr 18 | Apr 25 | matplotlib Graphs |
12 | Apr 25 | May 2 | pandas and seaborn Graphs |
Admission into MS in Data Analytics and instructor consent.
Python for Everyone, Edition 2.0
Cay Horstmann and Rance Necaise Wiley, 2019 ISBN 978-1-943153-67-1 An excellent book for beginning programmers. Dr. Horstmann was a professor in the Computer Science Department at SJSU. |
Intro to Python for Computer Science and Data Science:
Learning to Program with AI, Big Data and The Cloud Paul Deitel and Harvey Deitel Pearson Education, 2019 ISBN 978-1107186125 Another excellent book for beginning programmers, more focused on data science. |
Python for Programmers with Introductory AI Case Studies
Paul Deitel and Harvey Deitel Pearson Education, 2019 ISBN 978-0135224335 Essentially the same book as the one above but without the introductory material for beginning programmers. The first part of the class will be based on the first ten chapters of this book. |
Hands-On Data Analysis with Pandas, second edition
Stephanie Molin Packt Publishing, 2021 ISBN 978-1-80056-345-2 The last part of the class will be based on the first two sections of this book. |