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GitHub / malctaylor15 / Tinder_dash
Create Dash Board to Analyze your Tinder Data in Python
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/malctaylor15%2FTinder_dash
Stars: 0
Forks: 0
Open Issues: 13
License: None
Language: Jupyter Notebook
Repo Size: 1.44 MB
Dependencies:
83
Created: about 5 years ago
Updated: over 1 year ago
Last pushed: about 1 year ago
Last synced: about 1 year ago
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Readme
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Dependencies
- Click ==7.0
- Flask ==1.0.2
- Flask-Caching ==1.7.2
- Flask-Compress ==1.4.0
- Jinja2 ==2.10
- MarkupSafe ==1.1.1
- PyYAML ==5.1.1
- Pygments ==2.4.0
- Send2Trash ==1.5.0
- Werkzeug ==0.15.0
- attrs ==19.1.0
- backcall ==0.1.0
- bleach ==3.1.0
- boto3 ==1.9.139
- botocore ==1.12.139
- certifi ==2019.3.9
- chardet ==3.0.4
- cycler ==0.10.0
- dash ==1.0.2
- dash-core-components ==1.0.0
- dash-daq ==0.1.4
- dash-html-components ==1.0.0
- dash-renderer ==1.0.0
- dash-table ==4.0.2
- decorator ==4.4.0
- defusedxml ==0.6.0
- docutils ==0.14
- entrypoints ==0.3
- idna ==2.8
- ipykernel ==5.1.0
- ipython ==7.5.0
- ipython-genutils ==0.2.0
- itsdangerous ==1.1.0
- jedi ==0.13.3
- jmespath ==0.9.4
- jsonschema ==3.0.1
- jupyter-client ==5.2.4
- jupyter-contrib-core ==0.3.3
- jupyter-contrib-nbextensions ==0.5.1
- jupyter-core ==4.4.0
- jupyter-highlight-selected-word ==0.2.0
- jupyter-latex-envs ==1.4.6
- jupyter-nbextensions-configurator ==0.4.1
- kiwisolver ==1.0.1
- lxml ==4.3.3
- matplotlib ==3.0.3
- mistune ==0.8.4
- nbconvert ==5.5.0
- nbformat ==4.4.0
- notebook ==5.7.8
- numpy ==1.16.2
- pandas ==0.24.2
- pandocfilters ==1.4.2
- parso ==0.4.0
- pexpect ==4.7.0
- pickleshare ==0.7.5
- plotly ==3.7.1
- prometheus-client ==0.6.0
- prompt-toolkit ==2.0.9
- ptyprocess ==0.6.0
- pyparsing ==2.3.1
- pyrsistent ==0.14.11
- python-dateutil ==2.8.0
- pytz ==2018.9
- pyzmq ==18.0.1
- requests ==2.21.0
- retrying ==1.3.3
- s3transfer ==0.2.0
- six ==1.12.0
- terminado ==0.8.2
- testpath ==0.4.2
- tornado ==6.0.2
- traitlets ==4.3.2
- urllib3 ==1.24.1
- wcwidth ==0.1.7
- webencodings ==0.5.1
requirements.txt
pypi