jupyter | Jupyter metapackage for installation , docs and chat | Data Visualization library

class_weights = compute_class_weight(
                                        class_weight = "balanced",
                                        classes = np.unique(train_classes),
                                        y = train_classes                                                    
                                    )
class_weights = dict(zip(np.unique(train_classes), class_weights))
class_weights

conda activate <NAME_OF_VENV>
pip install notebook
conda install nbconvert
conda install pandoc
conda deactivate

sudo apt install texlive-xetex

conda activate <NAME_OF_VENV>
pip install notebook
conda install nbconvert
conda install pandoc
conda deactivate

sudo apt install texlive-xetex

{
    "experimentalDisableDocumentWideUndoRedo": true
}

pip install "jupyterlab<3.1"

conda install -c conda-forge "jupyterlab<3.1"

{
    "experimentalDisableDocumentWideUndoRedo": true
}

pip install "jupyterlab<3.1"

conda install -c conda-forge "jupyterlab<3.1"

{
    "experimentalDisableDocumentWideUndoRedo": true
}

pip install "jupyterlab<3.1"

conda install -c conda-forge "jupyterlab<3.1"

gpus = tf.config.experimental.list_physical_devices('GPU')
if gpus:
  try:
    tf.config.experimental.set_virtual_device_configuration(
        gpus[0],[tf.config.experimental.VirtualDeviceConfiguration(memory_limit=5120)])
  except RuntimeError as e:
    print(e)

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - ipykernel -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.5,<3.6.0a0|>=3.9,<3.10.0a0']

Your python: python=3.10

# Create virtual environment
# Use a version of Python that is less than 3.10
conda create --name your_env_name python<3.10

# Activate new environment
conda activate your_env_name

# Install ipykernel
conda install -c anaconda ipykernel

# Add this new environment to your Jupyter Notebook kernel list
ipython kernel install --name your_env_name --user

# Windows only: When trying to launch `jupyter notebook`, you may receive a win32api error.
# The command below fixes that issue.
conda install -c anaconda pywin32

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - ipykernel -> python[version='>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.5,<3.6.0a0|>=3.9,<3.10.0a0']

Your python: python=3.10

# Create virtual environment
# Use a version of Python that is less than 3.10
conda create --name your_env_name python<3.10

# Activate new environment
conda activate your_env_name

# Install ipykernel
conda install -c anaconda ipykernel

# Add this new environment to your Jupyter Notebook kernel list
ipython kernel install --name your_env_name --user

# Windows only: When trying to launch `jupyter notebook`, you may receive a win32api error.
# The command below fixes that issue.
conda install -c anaconda pywin32

python3.10 -m pip install ipykernel

python3.10 -m pip install ipykernel

sudo apt-get install python3.10-distutils

  curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10

 /bin/python3.10 ~/.vscode/extensions/ms-python.python-2022.0.1786462952/pythonFiles/shell_exec.py /bin/python3.10 -m pip install -U notebook /tmp/tmp-5290PWIe78U4HgLu.log

python3.10 -m pip install ipykernel

sudo apt-get install python3.10-distutils

  curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10

 /bin/python3.10 ~/.vscode/extensions/ms-python.python-2022.0.1786462952/pythonFiles/shell_exec.py /bin/python3.10 -m pip install -U notebook /tmp/tmp-5290PWIe78U4HgLu.log

python3.10 -m pip install ipykernel

sudo apt-get install python3.10-distutils

  curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10

 /bin/python3.10 ~/.vscode/extensions/ms-python.python-2022.0.1786462952/pythonFiles/shell_exec.py /bin/python3.10 -m pip install -U notebook /tmp/tmp-5290PWIe78U4HgLu.log

python3.10 -m pip install ipykernel

sudo apt-get install python3.10-distutils

  curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10

 /bin/python3.10 ~/.vscode/extensions/ms-python.python-2022.0.1786462952/pythonFiles/shell_exec.py /bin/python3.10 -m pip install -U notebook /tmp/tmp-5290PWIe78U4HgLu.log

pip3 install traitlets==5.1.1

pip3 install pygments==2.4.1

print *, "Hello world!"

subroutine new
  print *, "Hello world!"
end subroutine new

call new

print *, "Hello world!"

subroutine new
  print *, "Hello world!"
end subroutine new

call new

print *, "Hello world!"

subroutine new
  print *, "Hello world!"
end subroutine new

call new

import pandas as pd
import numpy as np
import dataframe_image as dfi

col_name = 'TestColumn'

temp_df = pd.DataFrame({'TestColumn':['A','B','A',np.nan]})

t1 = (temp_df[col_name].fillna("Unknown").value_counts()/len(temp_df)*100).to_frame().reset_index()
t1.rename(columns={'index':' '}, inplace=True)
t1[' '] = t1[' '].astype(str) 


style_test = t1.style.bar(subset=[col_name], color='#5e81f2', vmax=100, vmin=0).set_table_attributes('style="font-size: 17px"').set_properties(
    **{'color': 'black !important',
       'border': '1px black solid !important'}
).set_table_styles([{
    'selector': 'th',
    'props': [('border', '1px black solid !important')]
}]).set_properties( **{'width': '500px'}).hide_index().set_properties(subset=[" "], **{'text-align': 'left'})

dfi.export(style_test, 'successful_test.png')

from django.shortcuts import redirect,HttpResponse
import subprocess
import time

def open_jupiter_notbook(request):
    b= subprocess.check_output("jupyter-lab list".split()).decode('utf-8')
    if "9999" not in b:
        a=subprocess.Popen("jupyter-lab  --no-browser --port 9999".split())
    start_time = time.time()
    unreachable_time = 10
    while "9999" not in b:
        timer = time.time()
        elapsed_time = timer-start_time
        b= subprocess.check_output("jupyter-lab list".split()).decode('utf-8')
        if "9999" in b:
            break
        if elapsed_time > unreachable_time:
            return HttpResponse("Unreachable")
    path = b.split('\n')[1].split('::',1)[0]
    #You can here add data to your path if you want to open file or anything
    return redirect(path)

<iframe src="{% url 'open_jupiter_notbook' %}" width= 600px height=200px></iframe>

from django.shortcuts import redirect,HttpResponse
import subprocess
import time

def open_jupiter_notbook(request):
    b= subprocess.check_output("jupyter-lab list".split()).decode('utf-8')
    if "9999" not in b:
        a=subprocess.Popen("jupyter-lab  --no-browser --port 9999".split())
    start_time = time.time()
    unreachable_time = 10
    while "9999" not in b:
        timer = time.time()
        elapsed_time = timer-start_time
        b= subprocess.check_output("jupyter-lab list".split()).decode('utf-8')
        if "9999" in b:
            break
        if elapsed_time > unreachable_time:
            return HttpResponse("Unreachable")
    path = b.split('\n')[1].split('::',1)[0]
    #You can here add data to your path if you want to open file or anything
    return redirect(path)

<iframe src="{% url 'open_jupiter_notbook' %}" width= 600px height=200px></iframe>

from google.colab import files
src = list(files.upload().values())[0]
open('mylib.py','wb').write(src)
import mylib

# (or conda-forge equivalent if you use conda/mamba)
pip install -U "jupyterlab>=3.1.10"

{
    "renderCellOnIdle": false,
    "numberCellsToRenderDirectly": 10000000000000
}

# (or conda-forge equivalent if you use conda/mamba)
pip install -U "jupyterlab>=3.1.10"

{
    "renderCellOnIdle": false,
    "numberCellsToRenderDirectly": 10000000000000
}

{
    "markdownCellConfig": {
        "lineNumbers": true
    },
    "codeCellConfig": {
         "lineNumbers": true
    },
    "renderCellOnIdle": false,
    "numberCellsToRenderDirectly": 10000000000000
}