| title | tags | sidebar | permalink | toc | week_num | series | weight | |
|---|---|---|---|---|---|---|---|---|
Week 9 |
|
home_sidebar |
Week_09.html |
false |
9 |
Week-by-week series |
0.9 |
Week 9: {{site.wk09_mon_date | date: '%b %d' }} - {{site.wk09_fri_date | date: '%b %d' }}{% include custom/series_week_by_week.html %}
- Additional data visualization with Matplotlib
- Start working on Project 1
- Nothing is due this week
- Problem Set 4 due {{site.ps_4_due | date: '%A, %B %d' }}
- Project 1 will be available on Friday. It is due {{site.project_1_due | date: '%A, %B %d' }}
{% include image.html file='monday.png' alt="Calendar icon with Monday" position="right" max-width=75 %}
{% include day/021_before.html %}
{% include day/021_during.html %}
{% include image.html file='wednesday.png' alt="Calendar icon with Wednesday" position="right" max-width=75 %}
{% include day/022_before.html %}
{% include day/022_during.html %}
{% include image.html file='friday.png' alt="Calendar icon with Friday" position="right" max-width=75 %}
{% include day/023_before.html %}
{% include day/023_during.html %}
{% include image.html file='checkmark.png' alt="Check mark icon" position="right" max-width=75 %}
- Understand how to use Numpy arrays and access elements of arrays
- Become familiar with Pandas
- Know how to open csv files to create Pandas data frames
- Know the basics of producing graphs in matplotlib
- Be getting more comfortable with producing graphs in matplotlib
{% include custom/office_hours.html %}
{% include custom/series_week_by_week_next.html %}