Python Pandas Tutorial (Part 11): Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc

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En bref

Ajouté le

18 mars 2026

Matière et domaine

coding · data-databases

Niveaux scolaires

9e année (3e)–12e année (Terminale)

Type de page

Video

Mots-clés

python pandas pandas sql pandas excel pandas json pandas csv pandas url pandas read pandas write pandas import pandas export data science pandas tutorial python tutorial corey schafer data analysis pandas read_csv pandas read_excel pandas read_sql_query pandas read_sql pandas to_csv pandas to_sql pandas to_excel pandas read_json pandas to_json

Introduction

In this video, we will be learning how to import and export data from multiple different sources. We will cover CSV, JSON, Excel, SQL, and more.

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In this Python Programming video, we will be learning how to load and save data using multiple different sources. We will learn how to read/write data to CSV, JSON, Excel, SQL, and more. This covers the vast majority of formats you'll see in the data science field and will be extremely useful to know. Let's get started...

Video Timestamps:
Read CSV - 0:56
Write CSV - 3:20
Write TSV - 4:40
Read TSV - 6:00
Write Excel - 6:15
Read Excel - 10:42 (Start at 6:15 to see installed packages)
Write JSON - 12:18
Read JSON - 15:41
Write SQL - 16:59
Read SQL - 24:57 (Start at 16:59 to see installed packages)

The code for this video can be found at:
bit.ly/Pandas-11

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