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| Thu Jan 20 |
Book Draft: Table of Contents, 1. Preface, 2.1-2.3 What is this course about? What is Python? Why Python 2.4 Install Python (Anaconda) or run in the cloud? |
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Introductory remarks Jupyter notebook Demo (notebook). |
Python Data Science HB (PDSHB): Chapter 1. IPython PDSHB Notebook Index. (Notebooks contain the text of PDSHB + executable text snippets) |
| Tue Jan 25 |
Book Draft: 3.1-3.3 Python types I, More Python types II. |
Running python assignment due. |
Notebook demo (notebook), Python types notebook, Python types I: Strings, numbers. Python types II: Sequences, Dictionaries, sets. |
VanDerPlas: Whirlwind Tour of Python: Chapter 7: Notebooks. |
| Thu Jan 27 |
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| Tue Feb 01 |
Book Draft: If-then statements, Boolean results, loops, List comprehension, |
Assignment: Python types assignment due. |
Loops, conditional clauses notebook. , Programming notebook. |
VanDerPlas: Whirlwind Tour of Python: Chapter 8, 9, 12: Notebooks. |
| Thu Feb 03 |
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| Tue Feb 08 |
Book Draft: 5.1: importing, 5.2 Namespaces, 5.3 block structure, 5.4 Functions and function parameters, import, namespaces, classes. |
Solution to running python, Solution to python types. |
Notebooks: Functions, Programming, Harder programming. |
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| Thu Feb 10 |
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| Tue Feb 15 |
Book Draft: Book Draft: 4.6 Functions. 4.7. Functions |
Functions assignment due. |
Notebooks: Functions. Sets, Set operations, Set example, Iterators and generators, Climate change problem (containers), DNA string (containers, coding), DNA translation(Dictionary codebook). |
VanDerPlas: Whirlwind Tour of Python: Chapter 9: Notebooks. |
| Thu Feb 17 |
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| Tue Feb 22 |
Book Draft: Numpy: 6.1 - 6.4 |
Functions assignment solution. |
Notebooks: Intro to numpy: arrays, tables, splicing, arithmetic with arrays, arrays versus lists, Boolean arrays and Boolean indexing, fancy indexing. More nitty gritty on Boolean arrays (from PDSHB), Numpy tools A broader survey of numpy capabilities (From Handson Machine Learning). In class Boolean notebook, Numpy broadcasting (notes/examples). |
Python Data Science HB (PDSHB): Chapter 2. Numpy. PDSHB Notebook Index. |
| Thu Feb 24 |
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| Tue Mar 01 |
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In class Boolean notebook solutions. |
Notebooks: Edited version of numpy.ipynb suitable as a study tool. |
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| Thu Mar 03 |
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| Tue Mar 08 |
Book Draft: Intro to pandas and pandas data frames 6.4 - 6.8., Pandas tutorial.
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Numpy assignment due, Midterm Study notebook, Midterm Study answers. |
Lecture: Mid Semester Review. Tools: Pandas Intro (HOML). Pandas notebook I, Pandas notebook II. |
Python Data Science HB (PDSHB): Chapter 3. Pandas. PDSHB Notebook Index. |
| Thu Mar 10 |
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| Tue Mar 15 |
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Midterm 2022., This is when your midterm nb will be published! Numpy assignment solution. |
Notebooks: Pivot tables and merges in Pandas, Covid analysis example, Census data example, Importing and loading files in Colab. |
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| Thu Mar 17 |
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| Tue Mar 22 |
Book Draft: Introducing Regular Expressions, Reading in and tokenizing text data. |
Final project suggestions, This is when your midterm will be due. |
Regular expressions notebook, WordNet, Unicode, Text processing notebook. |
VanDerPlas: Whirlwind Tour of Python: Chapter 15: Notebooks. NLTK Book ch. 3 |
| Thu Mar 24 |
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| Tue Mar 29 |
H'day |
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| Thu Mar 31 |
H'day |
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H'day |
| Tue Apr 05 |
Book Draft: Chap. 7: Classification of text. Regression, Chap. 7: Linear classifiers, SVM classification, Applying linear classifiers to text: Movie review example. |
Pandas assignment due . |
notebooks: Regression. Linear Classifiers (SVMs). Iris data classification (sklearn). Classifying movie review (NLTK); precision, recall, etcetera. Sklearn/Insult classification. |
Python Data Science HB (PDSHB): Chapter 5. Machine learning. PDSHB Notebook Index. |
| Thu Apr 07 |
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| Tue Apr 12 |
Book Draft: Chap. 9: Social networks intro, Gephi demo. |
Project suggestions revisited, Midterm answers for your midterm version (includes extensive annotations). |
Social Networks lectures slides, and New using networkx notebook, Centrality experiments, Assortativity notebook. Facebook ego networks. |
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| Thu Apr 14 |
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| Tue Apr 19 |
Book Draft: Chap. 7: Regression. Regression, |
Classification assignment due. |
Matplotlib Intro, 03_Classification (HOML). Regression, Regression and classification. |
NLTK Book ch. 3 |
| Thu Apr 21 |
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| Tue Apr 26 |
Book Draft: Chap. 8: Visualization. |
Matplotlib exercises NB. Complete solution for pandas assignment. |
Notebooks: Review of plotting basics, Box and violin plots, Color: Visualizing multidimensional data: Parallel coordinate plots, Color: correlation heat maps, Geographic visualization, NY Times Covid analysis, geographic visualization. |
Mandelbrot and others. Linear Mapping examples. |
| Thu Apr 28 |
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| Tue May 03 |
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Matplotlib exercises NB. Matplotlib exercises NB with answers. |
Data bias. |
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| Thu May 05 |
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Complete solution for classification assignment. Final project due 5/12 |
Last class day |
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