Machine Learning

• Machine Learning
  • Jupyter Notebook
    • Opening Jupyter Notebook
  • Convert ipynb files into html, markdown, pdf and other format files
  • tqdm examples:

Jupyter Notebook

Opening Jupyter Notebook

To open Jupyter Notebook, we firstly have to activate our environment and use command: jupyter notebook

jupyter notebook

Convert ipynb files into html, markdown, pdf and other format files

# ipython nbconvert --to FORMAT notebook.ipynb

jupyter nbconvert --to html test.ipynb
jupyter nbconvert --to markdown test.ipynb --output README.md
jupyter nbconvert --to pdf test.ipynb

# Note: VsCode jupyter notebooks has built in converter

https://ipython.org/ipython-doc/3/notebook/nbconvert.html

https://www.programmersought.com/article/95748768264/

tqdm examples:

Nested Progress Bar with TQDM in Python:

a nested progress bar using TQDM in Python, providing an intuitive visualization of progress for both the outer and inner loops.

from tqdm.notebook import tqdm
from time import sleep
for i in tqdm(range(3), desc="Outer Progress", position=0):
    for j in tqdm(range(5), desc="Inner Progress", position=1):
        sleep(0.1)

Controlled bar:

with tqdm(total=1000) as pbar:
    for i in range(100):
        sleep(0.1)
        pbar.update(10)
        # 10*100 = 1000 (total)

Mod descriptions:

import time
for i in tqdm(range(100), desc="Progress", bar_format="{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed}<{remaining}, {rate_fmt}{postfix}]"):
    time.sleep(0.1)