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Python Tutorial

Python is a verstile programming language that has gained a lot of attention and popularity. Using Python, you do things like develop web applications, desktop applications, task automation, artificial intelligence (AI), big data, data analytics, machine learning (ML), and many other things.

Python is really becoming as the leader in data science and data analytics. With so many open source libraries to choose from (Pandas, scikit-learn, NumPy, Matplotlib), learning data analysis in Python just got so much easier.

Source Code:

import os import datetime from google_auth_oauthlib.flow import InstalledAppFlow from googleapiclient.discovery import build from google.oauth2.credentials import Credentials from google.auth.transport.requests import Request def create_service(client_secret_file,...

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Source Code: import os import pandas as pd # display all columns pd.set_option('display.max_columns', None) class FilesManager: def __init__(self, client): self.client = client def list_files(self): file_list = self.client.files.list() if file_list is None:...

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