exercises-4.txt
Table of contents
Section 1: Introduction
Section 1: Introduction
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01 Welcome.mov
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02 What is NumPy?
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03 Installing NumPy
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04 Importing NumPy
Section 2: Basic NumPy arrays
Section 2: Basic NumPy arrays
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NumPy course, section 2.ipynb
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05 What is a NumPy array?
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06 Creating NumPy arrays
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07 Exercises 1
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exercises-1.txt
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08 Exercise solutions 1
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09 Generating random arrays
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09a Random seeds.mp4
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10 Vectorized operations.mp4
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11 Vectorized operations with two arrays.mp4
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12 Commonly used methods.mp4
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13 Exercises 2.mp4
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exercises-2.txt
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14 Exercise solutions 2.mp4
Section 3: Indexing
Section 3: Indexing
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NumPy course, section 3.ipynb
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15 Fancy indexing.mp4
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16 Boolean indexing.mp4
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17 Views vs copies.mp4
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18 Selecting with boolean indexes.mp4
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19 Evens and odds.mp4
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20 Exercises 3.mp4
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exercises-3.txt
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21 Exercise solutions 3.mp4
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22 Complex conditions.mp4
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23 Exercises 4.mp4
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exercises-4.txt
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24 Exercise solutions 4.mp4
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25 Assigning via indexes.mp4
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26 Exercises 5.mp4
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exercises-5.txt
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27 Exercise solutions 5.mp4
Section 4: Data types
Section 4: Data types
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NumPy course, section 4.ipynb
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28 dtypes
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29 Setting dtypes
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30 Setting the dtype attribute
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31 Using astype
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32 String lengths
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33 Exercises 6
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exercises-6.txt
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34 Exercise solutions 6
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35 Complex numbers.mp4
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36 Booleans vs. integers.mp4
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37 Setting print options.mp4
Section 5: nan
Section 5: nan
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NumPy course, section 5.ipynb
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38 The need for nan.mp4
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39 Filtering with isnan.mp4
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40 Making sure that nan will work in your array.mp4
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41 Replacing nan values with the mean.mp4
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42 Exercises 7.mp4
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exercises-7.txt
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43 Exercise solutions 7.mp4
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44 inf and nan.mp4
Section 6: Multidimensional NumPy
Section 6: Multidimensional NumPy
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NumPy course, section 6.ipynb
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45 Array shapes.mp4
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46 Multi-dimensional retrievals.mp4
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47 Exercises 8.mp4
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exercises-8.txt
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48 Exercise solutions 8.mp4
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49 Assigning to 2d arrays.mp4
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50 Axes and NumPy methods.mp4
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51 argmin and argmax.mp4
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52 Flattening arrays.mp4
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53 Transposing.mp4
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54 Sorting.mp4
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55 Concatenating arrays.mp4
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56 Exercises 9
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exercises-9.txt
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57 Exercise solutions 9
Section 7: Input and output
Section 7: Input and output
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58 Intro to NumPy IO
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59 Storing with np.save
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60 Loading with np.load
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61 mmap_mode
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62 Saving and loading npz
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63 Storing CSV files with np.savetxt
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64 Loading CSV files with np.loadtxt
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65 Exercises 10.mp4
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NumPy course, section 7.ipynb
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66 Exercise solutions 10.mp4
Section 8: Matplotlib
Section 8: Matplotlib
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NumPy course, section 8.ipynb
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67 Intro to Matplotlib.mp4
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68 Basic plots.mp4
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69 Format strings.mp4
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70 Bar plots.mp4
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71 Histograms.mp4
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72 Pie plots.mp4
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73 Exercises 11.mp4
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exercises-11.txt
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cisco_stock.csv
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74 Exercise solutions 11.mp4
PDFs of slides
PDFs of slides
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01 Data science intro
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02 Jupyter notebook
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03 NumPy
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04 NumPy indexes
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05 NumPy's nan
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06 NumPy and multidimensional arrays
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07 NumPy and input-output