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https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial
:panda_face: :computer: Load or insert data into a SQL database using Pandas DataFrames.
https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial
data-analysis data-science dataframes pandas pandas-sqlalchemy-tutorial python sql-database sqlalchemy tutorial
Last synced: 3 months ago
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:panda_face: :computer: Load or insert data into a SQL database using Pandas DataFrames.
- Host: GitHub
- URL: https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial
- Owner: hackersandslackers
- License: mit
- Created: 2019-08-09T22:29:40.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-28T16:14:34.000Z (4 months ago)
- Last Synced: 2024-11-09T00:49:12.589Z (3 months ago)
- Topics: data-analysis, data-science, dataframes, pandas, pandas-sqlalchemy-tutorial, python, sql-database, sqlalchemy, tutorial
- Language: Python
- Homepage: https://hackersandslackers.com/connecting-pandas-to-a-sql-database-with-sqlalchemy/
- Size: 3 MB
- Stars: 29
- Watchers: 2
- Forks: 7
- Open Issues: 24
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
# Pandas SQLAlchemy Tutorial
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[](https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial/issues)
[](https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial/stargazers)
[](https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial/network)
Easily drop data into Pandas from a SQL database, or upload your DataFrames to a SQL table. Tutorial found here: https://hackersandslackers.com/connecting-pandas-to-a-sql-database-with-sqlalchemy/
## Installation
**Installation via `requirements.txt`**:
```shell
$ git clone https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial.git
$ cd pandas-sqlalchemy-tutorial
$ python3 -m venv myenv
$ source myenv/bin/activate
$ pip3 install -r requirements.txt
$ python3 main.py
```**Installation via [Pipenv](https://pipenv-fork.readthedocs.io/en/latest/)**:
```shell
$ git clone https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial.git
$ cd pandas-sqlalchemy-tutorial
$ pipenv shell
$ pipenv update
$ python3 main.py
```**Installation via [Poetry](https://python-poetry.org/)**:
```shell
$ git clone https://github.com/hackersandslackers/pandas-sqlalchemy-tutorial.git
$ cd pandas-sqlalchemy-tutorial
$ poetry shell
$ poetry update
$ poetry run
```## Usage
Replace the values in **.env.example** with your values and rename this file to **.env**:
* `SQLALCHEMY_DATABASE_URI`: Connection URI of a SQL database.
*Remember never to commit secrets saved in .env files to Github.*
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