| mpastell/Pweave |
362 |
|
0 |
0 |
almost 6 years ago |
0 |
|
70 |
other |
Python |
| Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib. |
| SingularisArt/Singularis |
59 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
mit |
Lua |
| My System Configuration ⚙️ |
| mrocklin/pymarkdown |
39 |
|
0 |
1 |
over 10 years ago |
5 |
April 05, 2015 |
1 |
other |
HTML |
| Evaluate code in markdown |
| mrtkp9993/Statistical-Modeling-Examples |
28 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| Basic statistical modelling examples. |
| LaurentRDC/pandoc-pyplot |
15 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
gpl-2.0 |
Haskell |
| A Pandoc filter to generate Matplotlib/Plotly figures directly in documents |
| PhilipYip1988/python-tutorials |
10 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
|
HTML |
| JupyterLab based Python Tutorials. These are detailed markdown tutorials covering installation, markdown, text datatypes, numeric data types, collections, programming constructs, the collections, itertools, math, random, datetime, statistics, sys, operating system, abc, csv and pickle modules, the numpy and matplotlib libraries. |
| jy617lee/data_science_ref |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
|
|
| 데이터 분석, 시각화 관련 링크를 모아둔 markdown 파일입니다 |
| Jwink3101/matplotlib_tips_examples |
5 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
HTML |
| Matplotlib tips and examples |
