How to show progress (bar) while executing Python code?
from tqdm import tqdm
seq 100000 | tqdm --bytes | wc -l
7z a -bd -r backup_python.7z docs/ | grep Compressing | tqdm --total $(find docs/ -type f | wc -l) --unit files >> backup.log
for char in tqdm(["a", "b", "c", "d"]): ....
with tqdm(total=100) as tqdm(["a", "b", "c", "d"]): ....
with tqdm(total=10, bar_format="{postfix[0]} {postfix[1][value]:>8.2g}", postfix=["Batch", dict(value=0)]) as t: ....
from tqdm import trange
for i in trange(100): ....
for i in tqdm(range(10000)): ....
with trange(10) as t: ....
for i in trange(4, desc='1st loop'):
for k in trange(50, desc='3nd loop', leave=False):
from tqdm import tqdm_notebook
tqdm_notebook().pandas()
tqdm_notebook().pandas(desc="Example Desc")
tqdm_notebook.pandas(desc='PROGRESS >>>')
df.progress_apply(lambda x: x**2)
df['result'] = df['rand'].progress_apply(lambda x:x**x)
from tqdm import tqdm_notebook as tqdm
from tqdm import tnrange, tqdm_notebook
tqdm_notebook(range(epochs), total=epochs, unit="epoch")
for i, source in tqdm_notebook(enumerate(sources), total=len(sources)):
from tqdm import tqdm
with tqdm(total=len(values)) as progress_bar:
for j in tqdm_notebook(range(100), desc='2nd loop'):
tqdm.write("Done task %i" % i)
vector_char.fit(tqdm_notebook(x_train, leave=False));
from tqdm.autonotebook import tqdm
from tqdm.auto import tqdm
tqdm.pandas(desc="progress bar>")
tqdm.pandas()
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