kujjwal02

#!/bin/bash

function aws_mfa {
    code="$1"
    serial_number="<add mfa serial here>"

    # Check if token code is provided
    if [ -z "$code" ]; then
        echo -e "\e[31mToken code not provided. Please provide the token code as an argument.\e[0m"
        echo "Usage: aws_mfa <token-code> [additional arguments]"

kujjwal02

function aws_mfa
    set code $argv[1]
    set serial_number "<add mfa serial here>"

    # Check if token code is provided
    if test -z $code
        set_color red
        echo "Token code not provided. Please provide the token code as an argument."
        set_color normal
        echo "Usage: aws_mfa <token-code> [additional arguments]"

kujjwal02

!/bin/bash

echo "======================Downloading Miniconda=============================="
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
chmod +x Miniconda3-latest-Linux-x86_64.sh
echo "======================Installing Miniconda =============================="
./Miniconda3-latest-Linux-x86_64.sh
source ~/.bashrc
echo "======================Installing JupyterLab=============================="
conda install -c conda-forge jupyterlab nb_conda ipywidgets nodejs -y

kujjwal02

# Source: https://towardsdatascience.com/make-your-own-super-pandas-using-multiproc-1c04f41944a1
def parallelize_dataframe(df, func, n_cores=4):
    df_split = np.array_split(df, n_cores)
    pool = Pool(n_cores)
    df = pd.concat(pool.map(func, df_split))
    pool.close()
    pool.join()
    return df