<jupyter_start><jupyter_text>---title: "Git Basics Placeholder"subtitle: "A placeholder note for git basics."author: "Cam"date: 2021-01-01description: "A placeholder note for git basics."summary: "A placeholder note for git basics."type: notecategories: ["Python", "git"]tags: ["data science", "git"]draft: true---{{}}  InstallationTo install `pip install pandas`  Sample DataframeHere's a sample chart from the matplotlib gallery.Note need to make table border one in custom css? remove scroll bars? then looks good... increase spacing?<jupyter_code>import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
df
display(df)
print(df.to_markdown())<jupyter_output>|    |   A |   B |   C |   D |
|---:|----:|----:|----:|----:|
|  0 |  57 |  11 |  19 |  16 |
|  1 |  90 |  64 |   2 |  76 |
|  2 |  97 |  42 |  88 |   9 |
|  3 |  72 |  12 |  79 |  56 |
|  4 |  87 |  49 |  77 |  65 |
|  5 |  44 |  25 |  84 |  71 |
|  6 |  14 |   8 |  12 |  21 |
|  7 |  56 |  82 |  82 |  74 |
|  8 |  25 |   7 |  43 |  28 |
|  9 |  37 |  88 |  61 |  10 |
| 10 |   5 |   7 |  63 |  40 |
| 11 |  28 |  71 |  80 |  95 |
| 12 |  31 |  29 |  63 |  77 |
| 13 |  88 |  69 |  87 |  47 |
| 14 |  96 |  73 |  46 |  64 |
| 15 |  74 |  94 |  64 |  63 |
| 16 |   4 |   4 |  20 |  60 |
| 17 |  70 |  68 |   6 |   0 |
| 18 |  26 |  10 |  95 |  65 |
| 19 |   8 |  80 |  94 |   2 |
| 20 |  94 |  13 |  60 |  97 |
| 21 |  26 |  41 |  29 |  69 |
| 22 |  73 |  13 |  21 |  93 |
| 23 |  41 |  46 |   7 |  86 |
| 24 |  82 |  44 |  50 |  76 |
| 25 |  29 |  13 |  66 |  16 |
| 26 |  31 |  35 |  36 |  22 |
| 27 |   1 |  12 |  12 |  42 |
| 28 |  26 |  69 |  19 |  89 |
| 29 |  35 |  29 |  16 |   4 |
| 30 |  [...]<jupyter_text>References- [venv Docs](https://docs.python.org/3/library/venv.html)- [IPython Docs](https://ipython.readthedocs.io/en/stable/install/kernel_install.html)<jupyter_code>#Versions used in this notebook
import sys
print("OS:", sys.platform)

!python --version

from importlib.metadata import version
for library in ["jupyterlab", "pandas", "numpy"]:
    print(library, version(library))<jupyter_output>OS: win32
Python 3.9.1
jupyterlab 2.2.0
pandas 1.2.0
numpy 1.19.5
{'fraction_non_alphanumeric': 0.17625736293611238, 'fraction_numerical': 0.1400090620752152, 'mean_word_length': 2.186147186147186, 'pattern_counts': {'":': 0, '<': 7, '<?xml version=': 0, '>': 7, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '2', 'dir': 'jupyter-structured-clean-dedup', 'id': '294542', 'license': 'MIT', 'n_tokens_mistral': 1107, 'n_tokens_neox': 929, 'n_words': 267, 'path': 'content/notes/version_control/.ipynb_checkpoints/git_basics_placeholder-checkpoint.ipynb', 'repo_name': 'cammclean182/cammcl.com', 'size': '2207'}