https://github.com/brytebee/alx-backend-python
https://github.com/brytebee/alx-backend-python
Last synced: about 8 hours ago
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- Host: GitHub
- URL: https://github.com/brytebee/alx-backend-python
- Owner: brytebee
- Created: 2025-07-05T21:46:43.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-08-22T13:26:39.000Z (11 months ago)
- Last Synced: 2025-08-22T15:35:30.511Z (11 months ago)
- Language: Python
- Size: 202 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# alx-backend-python
Handle massive datasets without breaking your memory. This project teaches you to use Python generators for efficient data processing and real-world streaming scenarios.
## What You'll Build
- Memory-efficient data processors using `yield`
- Batch processing systems for huge datasets
- Live data streaming simulations
- SQL-integrated data pipelines
## Prerequisites
- Python 3.x
- Basic SQL (MySQL/SQLite)
- Git basics
## Why This Matters
Loading a 10GB dataset into memory? Your system will crash. Generators let you process data one piece at a time, keeping memory usage flat no matter how big your data gets.
## Quick Start
```bash
git clone
cd python-generators-project
pip install mysql-connector-python python-dotenv
```
Set up your database, then run the examples to see generators crush large datasets with minimal resources.
## Perfect For
Data engineers, backend devs, or anyone tired of "out of memory" errors when processing real-world data.