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for file in *.jpg; do convert $file -resize 1800x res-$file; done

# 1800x šířka 1800 px
# x1000 výška 1000 px

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df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})

#-----------------------

# empty df

df = pd.DataFrame({'col1': [],
                   'col2': [],
                   'col3': []})

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DF = pd.read_csv('data/nyc-jobs.csv')
new_columns = [column.replace(' ', '_').lower() for column in DF]
DF.columns = new_columns

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for _, row in df.iterrows():
  print(row["name"])

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DROP SCHEMA public CASCADE; CREATE SCHEMA public; GRANT USAGE ON SCHEMA public to PUBLIC; GRANT CREATE ON SCHEMA public to PUBLIC; COMMENT ON SCHEMA public IS 'standard public schema';

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print(item, sep=' ', end='', flush=True)

data4sci

import sys

# These are the usual ipython objects, including this one you are creating
ipython_vars = ['In', 'Out', 'exit', 'quit', 'get_ipython', 'ipython_vars']

# Get a sorted list of the objects and their sizes
sorted([(x, sys.getsizeof(globals().get(x))) for x in dir() if not x.startswith('_') and x not in sys.modules and x not in ipython_vars], key=lambda x: x[1], reverse=True)

data4sci

# změna velikosti SWAP souboru na 8GB
# https://forums.linuxmint.com/viewtopic.php?t=284301
# https://linuxhint.com/change_swap_size_ubuntu/

swapon  # kontrola velikosti na začátku

sudo swapoff -a
sudo dd if=/dev/zero of=/swapfile bs=1M count=8192
sudo chmod 0600 /swapfile
sudo mkswap /swapfile

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$ jupyter notebook stop 8889

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df['sex_letter] = df.sex.map({'Male': 'M', 'Female': 'F'}).fillna('O')