Upload_file_list = for upload_file in upload_file_list: gfile = drive.CreateFile() file2.GetContentString('test.txt') Gauth = GoogleAuth() drive = GoogleDrive(gauth)įrom th import GoogleAuth from pydrive.drive import GoogleDrive gauth = GoogleAuth() drive = GoogleDrive(gauth) Step 3: Upload files to your Google Drive You can customize the behavior of OAuth2 in one settings file settings.yaml Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Step 1: Import the Librariesįrom th import GoogleAuth from pydrive.drive import GoogleDrive Step 2: OAuth Made Easyįollow the steps to Get Authentication for Google Service API in the below link: Get Authentication for Google Service APIĭownload client_secrets.json from Google API Console and OAuth2.0 is done in two lines. The below codes can be run in Jupyter notebook or any python console Install the pydrive python module as follows: pip install pydrive Pre-Requisites For Google Drive Upload Python In the following Python Sample Code, we will upload files to Google Drive using Python and use them in data flow orchestration processes. Steps For Uploading Files on Google Drive Using Python Python can also be used to automate the process of uploading data to Google Drive, saving data engineers a lot of time. This is useful for storing data in a central location where other users can easily access it. In addition to extracting data from Google Drive, data engineers also upload file to Drive Python scripts. When working on big data projects, extracting data from Google Drive into orchestration workflows to initially store the data in data lakes, followed by a series of operations like data validation, cleansing, and transformation, is widely used to gather business insights from the data. Why Do Data Engineers Extract From/Upload To Google Drive Python? This step-by-step recipe will show you how to upload files to Google Drive Python. Objective For ‘ How To Upload File To Google Drive Using Python Script’
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