SQLite Databases with Python in Jupyter Notebook: Great for Beginners
If you found this video helpful, also check out my video on " Advanced SQL with Python in Jupyter Notebook ": • Advanced SQL with Python in Jupyter Notebo...
Run SQL Queries Inside Jupyter Notebook. Unlock the power of SQLite within Jupyter Notebook in this comprehensive Python tutorial. I'll guide you through setting up an SQLite database, performing data analysis with Pandas, and visualizing results—all within the interactive environment of Jupyter Notebook. Whether you're a beginner or looking to enhance your data science skills, this step-by-step guide will equip you with the tools needed for efficient data management and analysis.
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In this tutorial, you'll learn:
• Setting up and connecting to an SQLite database in Jupyter Notebook
• Executing SQL queries using Python
• Integrating SQLite with Pandas for seamless data manipulation
• Visualizing data insights with Matplotlib and Seaborn
Perfect for beginners in Python, data science, and analytics!
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Thank you for watching.
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⏳ *Timestamps*⏳
00:00 Introduction
01:08 What is SQLite
02:11 Why use SQLite with Python?
02:57 Open Anaconda to navigate Jupyter Notebook (link in description to download anaconda)
03:20 Launch Jupyter Notebook from Anaconda
03:36 How to retitle or rename your workbook in Jupyter Notebook
04:02 How to title text using markdown in Jupyter Notebook (Header)
04:46 Step 1: Install & Import Required Libraries
08:22 Step 2: Create a New SQLite Database and Table
14:26 Step 3: Insert Sample Data into the SQL Table that was created in step 2.
20:12 Step 4: Run SQL Queries inside Jupyter Notebook
22:41 Step 5: Perform Data Analysis Using SQL Queries
27:13 Step 6: Visualization SQL Query Results Using Python
32:51 the output of the bar graph for SQL query results
33:34 Step 7: Close the SQL connection in Jupyter Notebook.
33:59 Closing and overview of everything we learned
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