-
Notifications
You must be signed in to change notification settings - Fork 14
/
Copy path_toc.yml
69 lines (68 loc) · 2.15 KB
/
_toc.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
format: jb-book
root: README
parts:
- caption: "Introducción"
numbered: true
chapters:
- file: contents/preliminaries/intro
- file: contents/preliminaries/python3
- file: contents/preliminaries/env_management
- file: contents/preliminaries/git
- caption: "Ambiente jupyter"
numbered: true
chapters:
- file: contents/jupyter/intro
- file: contents/jupyter/tutorial
- file: contents/jupyter/ipython_display
- file: contents/jupyter/beyond_python
- caption: "Análisis de datos con Pandas"
numbered: true
chapters:
- file: contents/pandas/part1
- file: contents/pandas/part2
- file: contents/pandas/part3
- file: contents/pandas/part4
- caption: "Visualización de datos con Matplotlib"
numbered: true
chapters:
- file: contents/visualization/matplotlib1
- file: contents/visualization/matplotlib2
- file: contents/visualization/goodvisualizations
- file: contents/visualization/ipywidgets
- caption: "Matemática computacional con Numpy y Scipy"
numbered: true
chapters:
- file: contents/numpy/numpy1
- file: contents/numpy/numpy2
- file: contents/linalg/intro
- file: contents/linalg/linalg1
- file: contents/linalg/eigvals
- file: contents/calculus/optimization
- file: contents/calculus/ode_integration
- caption: "Estadística con Scipy"
numbered: true
chapters:
- file: contents/statistics/intro
- file: contents/statistics/distributions
- file: contents/statistics/descriptive
- file: contents/statistics/model_fitting
- file: contents/statistics/hypothesis
- file: contents/statistics/bootstrap
- caption: "Aprendizaje de máquinas con Scikit-Learn"
numbered: true
chapters:
- file: contents/sklearn/intro
- file: contents/sklearn/pca
- file: contents/sklearn/kmeans
- file: contents/sklearn/naivebayes
- file: contents/sklearn/metrics
- caption: "Alto rendimiento en Python"
numbered: true
chapters:
- file: contents/hpc/intro
- file: contents/hpc/profiling
- file: contents/hpc/python
- file: contents/hpc/vectorization
- file: contents/hpc/cython
- file: contents/hpc/parallel
# - file: contents/hpc/appendix