Library for importing kaggle data into colab and run vscode on the folder

This is already implemented by ML Genius Abhishek Thakur, just a litte bit refinement and I have added methods for importing kaggle data straight into your Drive folder and the vscode will open in your kaggle folder

Installation:

pip install kagcolabserver

Basics optional params for the Code:

Primary params

• -- port : for hosting the code server locally and tunnel using the ngrok
• -- drive : for mouting the drive
• -- folder_tree : Folder structure which will be created in the drive Ex: titanic/ or kaggle/titanic etc...
• -- kaggle : for working with kaggle user api and data api

Secondary params

Note : On clicking API key in your profile, a file named kaggle.json with username and api key will be downloaded, kindly use them for below params

• -- username : Your Kaggle username
• -- kag_api_key : API key found in your profile
• -- kag_data_api : On each kaggle competition, a data api will be given should pass that one!

How to Use the library?

For just starting the code server from google colab

* from kagcolabserver import kagColabServer
* kagColabServer(port=7000, drive=True, kaggle=False)

For starting vscode in particular foler

* from kagcolabserver import kagColabServer
* kagColabServer(port=7000, drive=True, kaggle=False, folder_tree="kaggle")

For importing Kaggle as well as starting the code-server in the folder location

* from kagcolabserver import kagColabServe
* kagColabServer(port=4000, drive=True)
* kolab = kagColabServer(port=4000,drive=True, kaggle=True)
* kolab.import_kaggle_data(username='XXXX', kag_api_key='XXXXX', kag_data_api='kaggle competitions download -c titanic', folder_tree='titanic/')