Programming Bootcamp for Scientists #41

    <ul>
        <li>00:00 Pandas - Python Data Analysis Library</li>
        <li>01:10 Datasets in use (Planets, Stack Overflow Survey data)</li>
        <li>05:48 Read CSV file into DataFrame</li>
        <li>11:05 DataFrame Statistics</li>
        <li>14:35 Show first and last rows</li>
        <li>15:37 DataFrame select columns</li>
        <li>17:37 DataFrame select rows (iloc)</li>
        <li>18:37 DataFrame select rows and columns</li>
        <li>19:05 DataFrame filter rows by size</li>
        <li>20:25 DataFrame filter rows by value</li>
        <li>21:17 Filter elementwise boolean and</li>
        <li>23:34 sort (sort_values)</li>
        <li>24:09 loc vs. iloc</li>
        <li>28:03 Add calculated column, remove, delete (drop) column</li>
        <li>30:11 Calculation (gravitational force)</li>
        <li>36:03 Read CSV set index column</li>
        <li>36:50 Count values</li>
        <li>38:35 Select top items (head, tail)</li>
        <li>40:24 Pandas Show histogram</li>
        <li>42:13 Pandas read selected columns</li>
        <li>44:30 Read files in chunks</li>
        <li>49:24 Combine columns using any function (apply, vectorize)</li>
        <li>51:24 Read Excel files (read_excel) (to_excel)</li>
        <li>52:00 Create Excel file for experiment with random data</li>
        <li>55:14 Calculate Genome metrics</li>
        <li>57:25 Exercise: Pandas (incl. Kaggle)</li>
    </ul>

• Python Slides