|
1474 | 1474 | "np.ravel?\n" |
1475 | 1475 | ] |
1476 | 1476 | }, |
| 1477 | + { |
| 1478 | + "cell_type": "markdown", |
| 1479 | + "metadata": {}, |
| 1480 | + "source": [ |
| 1481 | + "## Linear Algebra\n", |
| 1482 | + "* There is a module for linear algebra, [linalg](https://docs.scipy.org/doc/numpy/reference/routines.linalg.html)\n", |
| 1483 | + "* You can solve for a system of equations using the [solve function](https://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.solve.html#numpy.linalg.solve)\n", |
| 1484 | + " * You can create a square 2 dimensional matrix and a constant row vector and solve for each variable column\n", |
| 1485 | + " * You can double check the answer using the inner product or [dot](https://docs.scipy.org/doc/numpy/reference/generated/numpy.dot.html#numpy.dot).\n", |
| 1486 | + "* You can use the `@` to produce the dot product of two arrays." |
| 1487 | + ] |
| 1488 | + }, |
1477 | 1489 | { |
1478 | 1490 | "cell_type": "code", |
1479 | 1491 | "execution_count": 71, |
|
0 commit comments