Know where to start looking for data. In the process, you will look at different methods of obtaining data, and then find your own data in a relaxed way.

First define the subject and specify the subject so that you can narrow your search, but be flexible enough to tailor your needs based on existing sources.

                            
                                #local
                                import pandas as pd
                                csv_file = "/Users/xxx.csv"
                                df_from_csv = pd.read_csv(csv_file)
                                df_from_csv.info()

                                #web
                                import numpy as np
                                import pandas as pd
                                import requests
                                import matplotlib.pyplot as plt
                                %matplotlib inline
                                r = requests.get('https://www.renthop.com/nyc/apartments-for-rent')

                                #database
                                import pandas as pd
                                import sqlite3 as sql
                                conn = sql.connect('/Users/xxx.db')
                                
                                # First pattern - turn query directly into dataframe:
                                df1 = pd.read_sql_query("SELECT * FROM invoice", conn)

                                # Second pattern - get row-level data, but no column names
                                cur = conn.cursor()
                                results = cur.execute("SELECT * FROM invoice LIMIT 5").fetchall()
                                df2 = pd.DataFrame(results)

                                #mongo
                                import pymongo
                                client = pymongo.MongoClient("mongodb://localhost:27017/")
 
                                # Database Name
                                db = client["xxx"]
 
                                # Collection Name
                                col = db["xxx"]
 
                                x = col.find_one()
                                print(x)
                                
                                #APIs
                                import requests
                                response = requests.get("http://api.open-notify.org/astros.json")
                                print(response.status_code)
                                print(response.json())
                                res = pd.DataFrame(response.json()["people"])
                                res.head()