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632 | 632 | "cell_type": "markdown", |
633 | 633 | "metadata": {}, |
634 | 634 | "source": [ |
635 | | - "## Creation\n", |
636 | | - "* Random state\n", |
637 | | - "* Appending rows\n", |
| 635 | + "## Creation \n", |
| 636 | + "* You can create a random but bound grouping of values using the `np.random` package. \n", |
| 637 | + " * `RandomState` let's you seed your randomness in a way that is repeatable.\n", |
| 638 | + "* You can append a row in a couple of ways\n", |
| 639 | + " * You can use the `np.append` method. Make sure the new row is the same shape.\n", |
| 640 | + " * You can create/reassign a new array by including the existing array as part of the iterable in creation.\n", |
| 641 | + "\n", |
638 | 642 | "\n", |
639 | 643 | "## Indexing\n", |
640 | | - "* Shortcut (tuple)\n", |
641 | | - "* Fancy Indexing" |
| 644 | + "* You can use an indexing shortcut by separating dimensions with a comma. \n", |
| 645 | + "* You can index using a `list` or `np.array`. Values will be pulled out at that specific index. This is known as fancy indexing.\n", |
| 646 | + " * Resulting array shape matches the index array layout. Be careful to distinguish between the tuple shortcut and fancy indexing." |
642 | 647 | ] |
643 | 648 | }, |
| 649 | + { |
| 650 | + "cell_type": "code", |
| 651 | + "execution_count": null, |
| 652 | + "metadata": {}, |
| 653 | + "outputs": [], |
| 654 | + "source": [] |
| 655 | + }, |
644 | 656 | { |
645 | 657 | "cell_type": "code", |
646 | 658 | "execution_count": 33, |
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