Python File Handling & Databases Complete Guide | JSON, CSV, SQLite, MySQL
File Handling & Databases in Python | JSON, CSV, SQLite, MySQL & Pandas
File Handling & Databases, you’ll learn how to store, manage, and analyze data in Python using real-world tools and practical techniques.
Every real application needs data storage — whether it’s:
✔reading user input
✔saving reports
✔processing CSV files
✔storing records in databases or analyzing large datasets
This module teaches you safe file handling, databases, ORMs, and Pandas data analysis step-by-step in a simple and professional way.
🧠 WHAT YOU WILL LEARN IN THIS VIDEO
🔹 File Handling Basics
✔ Using with open() safely
✔ Reading & writing files
✔ File modes explained (r, w, a, binary)
✔ Handling large files efficiently
✔ Context managers to avoid file corruption
🔹 Working with File Formats
✔ JSON for APIs & structured data
✔ CSV for spreadsheets & reports
✔ Pickle for saving Python objects
✔ When to use each format safely
🔹 Databases
✔ SQLite for local projects
✔ MySQL for production apps
✔ Creating tables & inserting data
✔ Parameterized queries
✔ Preventing SQL Injection
🔹 ORM with SQLAlchemy
✔ Using Python classes instead of SQL
✔ Cleaner, safer database code
✔ Models, tables, and mappings
✔ Faster development workflow
🔹 Data Analysis with Pandas
✔ Loading CSV/Excel files
✔ Inspecting data (head(), info(), describe())
✔ Filtering & indexing
✔ Handling missing values
✔ GroupBy & aggregations
✔ Merge, join, concat
✔ Time-series analysis
✔ Exporting results
🎯 WHO SHOULD WATCH THIS VIDEO?
Perfect for:
✔Python beginners → intermediate
✔Backend developers
✔Data analysts
✔Students preparing for interviews
✔Anyone building real-world Python projects
Time Stamps :
00:00 : Introduction
02:01 : Context managers for file Handling
04:21 : Working with file formats
05:27 : Databases
06:19 : ORM with SQLAlchemy
06:41 : JSON code
08:11 : CSV code
09:46 : Pickle code
10:51 : SQLite code
13:51 : Common Errors and Facts(Database)
14:54 : Data manipulation with pandas
15:18 : Handling missing data
16:10 : Time series Handling
22:52 : Facts
23:26 : Outro
Find the full course playlist here : • Python Full course 2026 -- Intermediate
📌 NEXT MODULE
👉 Data Visualization Basics
Learn how to:
✔Create charts and graphs
✔Visualize insights
✔Use Matplotlib & Seaborn
✔Build clear, professional reports
🎓 ABOUT SPLL
This video is part of the Python Full Course 2026 by SP Learning Labs (SPLL) —
a complete beginner-to-advanced learning path focused on:
✔Practical coding
✔Industry-ready skills
✔Performance optimization
✔Interview preparation
© COPYRIGHT DISCLAIMER
© 2026 SP Learning Labs (SPLL). All Rights Reserved.
This video, including audio, visuals, code examples, and explanations, is the intellectual property of SP Learning Labs.
Unauthorized copying, reproduction, redistribution, or re-uploading of this content (in full or in part) without written permission is strictly prohibited.
This content is created for educational purposes only.
#Python
#FileHandling
#PythonFiles
#SQLite
#MySQL
#SQLAlchemy
#Pandas
#DataAnalysis
#PythonTutorial
#PythonFullCourse
#SPlearningLabs
#SPLL