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Plus2Net
plus2net.com › python › pandas-student.php
Creating sample Pandas DataFrame student from Excel, CSV or MySQL or to copy the code
February 5, 2019 - # download my_db.db SQLite Database from plus2net.com !wget https://www.plus2net.com/python/download/my_db.db # !wget https://www.plus2net.com/python/download/student.xlsx # Excel file download # !wget https://www.plus2net.com/python/download/student.csv # CSV file download
Discussions

Use python requests to download CSV - Stack Overflow
To simplify these answers, and increase performance when downloading a large file, the below may work a bit more efficiently. Copyimport requests from contextlib import closing import csv from codecs import iterdecode url = "http://download-and-process-csv-efficiently/python.csv" with ... More on stackoverflow.com
🌐 stackoverflow.com
Download .csv file using python - Stack Overflow
I am trying to download a .csv file and save it onto my computer. However when I run the script below, I am getting the error "Error: line contains NULL byte". What is it that I am doing wrong? im... More on stackoverflow.com
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Script to download a csv file from a website
Maybe urlib retrieve? https://programmer.ink/think/how-to-use-urlretrieve-in-python-3.html More on reddit.com
🌐 r/learnpython
7
2
November 11, 2021
Automatically download CSV from website (Python)
It seems they've changed the way the download button works. There is some complicated obfuscated javascript that fires off the download. The data seems to come from a different endpoint which you can see loaded in the network tab of your browser's developer tools when you reload the page. This script dumps all that data into a csv, not sure it helps you or not. import requests import pandas as pd data_url = 'https://fundcentres.lgim.com/srp/api/fund-centre/1/?audience=79&language=1' data = requests.get(data_url).json() clean = [] for fund in data['funds']: for share_class in fund['share_classes']: fixed = fund['data']+share_class['data'] clean.append(fixed) fund_detail_columns = [x['label'] for x in data['metadata']['fund_fields']] share_class_columns = [x['label'] for x in data['metadata']['share_class_fields']] columns = fund_detail_columns + share_class_columns df = pd.DataFrame(clean,columns=columns) df.to_csv('fund_data.csv',index=False) More on reddit.com
🌐 r/webscraping
6
4
January 20, 2022
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Source Code Tester
sourcecodester.com › python › 15666 › student-database-management-system-csv-python-free-source-code.html
Student Database Management System With CSV in Python Free Source Code | SourceCodester
September 14, 2022 - The Student Database Management System With CSV in Python Free Source Code is ready to be downloaded just kindly click the download button below. ... Note: Due to the size or complexity of this submission, the author has submitted it as a .zip ...
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Kaggle
kaggle.com › datasets › kellygakii › student-data-csv
student-data.csv | Kaggle
February 22, 2024 - Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
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GitHub
github.com › TrainingByPackt › Data-Science-with-Python › blob › master › Chapter01 › Data › student.csv
Data-Science-with-Python/Chapter01/Data/student.csv at master · TrainingByPackt/Data-Science-with-Python
Combine Python with machine learning principles to discover hidden patterns in raw data - Data-Science-with-Python/Chapter01/Data/student.csv at master · TrainingByPackt/Data-Science-with-Python
Author   TrainingByPackt
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GitHub
gist.github.com › justimchung › 9b98c69b30600a46daa6d2e827c31b56
student.csv · GitHub
Download ZIP · Raw · student.csv · This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters ·
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GitHub
gist.github.com › pyPRO2019 › dc44ae45f7cfe2f2a34fec30db4678eb
students_data.csv · GitHub
Download ZIP · Raw · students_data.csv · This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters ·
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Medium
medium.com › @amiri.mccain › use-python-to-read-and-download-a-large-csv-from-a-url-03a8f3062a4e
Use Python to Read and Download a Large CSV from a URL | by Amiri McCain | Medium
January 23, 2024 - Replacing NaN null fields with the string “null” fixed the issue (e.g. NULL_IF = (‘NULL', ‘null')in the FILE FORMAT object in Snowflake). Since Snowflake is outside the scope of this article, I plan on discussing this a little more in a future article. ... import pandas as pd import numpy as np import os # Download CSV with read_csv df = pd.read_csv('https://static.openfoodfacts.org/data/en.openfoodfacts.org.products.csv', \ sep='\t', low_memory=False)
Find elsewhere
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Saturn Cloud
saturncloud.io › blog › downloading-a-csv-from-a-url-and-converting-it-to-a-dataframe-using-python-pandas
Downloading a CSV from a URL and Converting it to a DataFrame using Python Pandas | Saturn Cloud Blog
May 1, 2026 - In this guide, we covered the process of downloading a CSV file from a URL and converting it into a Pandas DataFrame using Python. We discussed the pros and cons of this method, common errors, and provided detailed examples for handling potential issues.
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Kaggle
kaggle.com › code › arkaung › download-csv-file
Download csv file | Kaggle
March 17, 2019 - Explore and run AI code with Kaggle Notebooks | Using data from No attached data sources
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Agentsfordata
agentsfordata.com › csv tools › csv samples
Sample CSV Data Files - Download Free CSV Examples
Download free sample CSV data files for testing and development. Includes various datasets for learning, testing, and prototyping.
Top answer
1 of 14
128

This should help:

import csv
import requests

CSV_URL = 'http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv'


with requests.Session() as s:
    download = s.get(CSV_URL)

    decoded_content = download.content.decode('utf-8')

    cr = csv.reader(decoded_content.splitlines(), delimiter=',')
    my_list = list(cr)
    for row in my_list:
        print(row)

Ouput sample:

['street', 'city', 'zip', 'state', 'beds', 'baths', 'sq__ft', 'type', 'sale_date', 'price', 'latitude', 'longitude']
['3526 HIGH ST', 'SACRAMENTO', '95838', 'CA', '2', '1', '836', 'Residential', 'Wed May 21 00:00:00 EDT 2008', '59222', '38.631913', '-121.434879']
['51 OMAHA CT', 'SACRAMENTO', '95823', 'CA', '3', '1', '1167', 'Residential', 'Wed May 21 00:00:00 EDT 2008', '68212', '38.478902', '-121.431028']
['2796 BRANCH ST', 'SACRAMENTO', '95815', 'CA', '2', '1', '796', 'Residential', 'Wed May 21 00:00:00 EDT 2008', '68880', '38.618305', '-121.443839']
['2805 JANETTE WAY', 'SACRAMENTO', '95815', 'CA', '2', '1', '852', 'Residential', 'Wed May 21 00:00:00 EDT 2008', '69307', '38.616835', '-121.439146']
[...]

Related question with answer: https://stackoverflow.com/a/33079644/295246


Edit: Other answers are useful if you need to download large files (i.e. stream=True).

2 of 14
40

To simplify these answers, and increase performance when downloading a large file, the below may work a bit more efficiently.

import requests
from contextlib import closing
import csv
from codecs import iterdecode

url = "http://download-and-process-csv-efficiently/python.csv"

with closing(requests.get(url, stream=True)) as r:
    reader = iterdecode(csv.reader(r.iter_lines(), 'utf-8'), 
                        delimiter=',', 
                        quotechar='"')
    for row in reader:
        print(row)

By setting stream=True in the GET request, when we pass r.iter_lines() to csv.reader(), we are passing a generator to csv.reader(). By doing so, we enable csv.reader() to lazily iterate over each line in the response with for row in reader.

This avoids loading the entire file into memory before we start processing it, drastically reducing memory overhead for large files.

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Help Center
pharosresources.zendesk.com › hc › en-us › articles › 204509995-Student-Data-csv-Basic-Student-Information
Student_Data.csv - Basic Student Information – Help Center | Pharos Resources
File Summary: The Student_Data.csv file should contain all currently enrolled students. This file contains basic data about the student such as name, addresses, and phone numbers. Formatting Note: T...
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Mendeley Data
data.mendeley.com › datasets › 4mvgvtxc8s › 1
Student Dataset - Mendeley Data
March 15, 2024 - The Student Data Set contains 9000 records of students and eight attributes. This dataset is a random mock dataset generated with the help of Python libraries. The dataset is freely available for research purposes and for building and training AI and ML models.
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GitHub
github.com › TrainingByPackt › Data-Science-with-Python › blob › master › Chapter01 › Data › Student_bucketing.csv
Data-Science-with-Python/Chapter01/Data/Student_bucketing.csv at master · TrainingByPackt/Data-Science-with-Python
Combine Python with machine learning principles to discover hidden patterns in raw data - Data-Science-with-Python/Chapter01/Data/Student_bucketing.csv at master · TrainingByPackt/Data-Science-with-Python
Author   TrainingByPackt
🌐
Medium
medium.com › @mudassar_lhr › how-to-download-the-csv-file-from-url-using-python-650eae6d3478
How to download the CSV file from URL using Python | by Mudassar | Medium
May 27, 2022 - As I mentioned above some modules are built-in and some are need to install. For download the csv file we have to install the package “requests” For this you have to go to the Terminal: write the command: ... BI Analyst by Profession. Student ...
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W3Schools
w3schools.com › python › pandas › data.csv
Download data.csv
W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.