anil-kk

conda create -n tensorflow

conda activate tensorflow

pip install --ignore-installed --upgrade tensorflow

pip install jupyter notebook

pip install pandas

anil-kk

git clone --bare https://github.com/user/repo.git
cd repo.git
_____________________________
copy the below commmands to help.sh file and make it executable by running this command
chmod +x help.sh
./help.sh

________________________________________________________________________
#!/bin/sh
  

anil-kk

import pandas as pd
import requests
import json

session = requests.Session()

res = session.get("http://api.scb.se/OV0104/v1/doris/sv/ssd/START/BE/BE0101/BE0101A/BefolkningNy")
region_variables = json.loads(res.content.decode('utf-8-sig'))['variables']

anil-kk

from pyscbwrapper import SCB
import pandas as pd
import re
import requests
import json

session = requests.Session()


###########################Region#############################

anil-kk

import pandas as pd
import geopandas

from shapely.geometry import Point
from shapely.geometry.polygon import Polygon

#https://www.scb.se/vara-tjanster/oppna-data/oppna-geodata/deso--demografiska-statistikomraden/
#https://www.scb.se/contentassets/923c3627a8a042a5b9215e8ff3bde0a3/deso_2018_v2.zip
countries_gdf = geopandas.read_file("DeSO_2018_v2.gpkg")

anil-kk

import pandas as pd
import numpy as np
# %matplotlib inline
import matplotlib.pyplot as plt
import matplotlib as mpl

#'https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx'
df = pd.read_excel('https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/DV0101EN/labs/Data_Files/Canada.xlsx',
                  sheet_name='Canada by Citizenship',
                  skiprows=range(20),

anil-kk

Create new conda environment and add the kernel to existing jupyterlab

• conda create -n my_env python=3.10
• conda activate my_env
• conda install jupyter
• which python (should point to the one from new environment)
• python -m ipykernel install --user --name="my_env" --display-name="my_env (Python 3.10)"
• jupyter kernelspec list
• !python3 -m jupyter kernelspec list (from notebook cell)

installing new module from terminal

anil-kk

import pandas as pd
import numpy as np

# Create a sample DataFrame
data = {'category': ['A', 'A', 'B', 'B', 'A', 'B'],
        'value': [10, 20, 15, 25, 30, 35]}
df = pd.DataFrame(data)

# Group by 'category' and apply multiple aggregation functions
agg_functions = {