| title | tags | sidebar | permalink | toc | week_num | series | weight | |
|---|---|---|---|---|---|---|---|---|
Week 8 |
|
home_sidebar |
Week_08.html |
false |
8 |
Week-by-week series |
0.8 |
{% include custom/series_week_by_week.html %}
- SciPy, NumPy and Pandas introduction
- Using Python modules
- Data visualization with Matplotlib
- Quiz 3 due {{site.quiz_3_due | date: '%A, %B %d' }}
- Problem Set 3 due {{site.ps_3_due | date: '%A, %B %d' }}
- Problem Set 4 will be available on Friday. It is due {{site.ps_4_due | date: '%A, %B %d' }}
{% include image.html file='monday.png' alt="Calendar icon with Monday" position="right" max-width=75 %}
{% include day/018_before.html %}
{% include day/018_during.html %}
{% include image.html file='wednesday.png' alt="Calendar icon with Wednesday" position="right" max-width=75 %}
{% include day/019_before.html %}
{% include day/019_during.html %}
{% include image.html file='friday.png' alt="Calendar icon with Friday" position="right" max-width=75 %}
{% include day/020_before.html %}
{% include day/020_during.html %}
{% include image.html file='checkmark.png' alt="Check mark icon" position="right" max-width=75 %}
- Know how to use regular expressions in python
- Be able to scrape data from websites with BeautifulSoup
- Be able to get data from web services using their APIs
- Be generally aware of SciPy and Numpy
{% include custom/office_hours.html %}
{% include custom/series_week_by_week_next.html %}