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GitHub / gmagannaDevelop / Taller-DCI-NET
Pequeño taller para mostrar los principios de la programación funcional en Python, así como el uso de decoradores.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gmagannaDevelop%2FTaller-DCI-NET
Stars: 1
Forks: 0
Open Issues: 12
License: mit
Language: Python
Repo Size: 66.4 KB
Dependencies:
133
Created: about 4 years ago
Updated: over 1 year ago
Last pushed: over 2 years ago
Last synced: about 1 year ago
Files
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Readme
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Dependencies
requirements.txt
pypi
- Click ==7.0
- GPUtil ==1.4.0
- Jinja2 ==2.10.3
- Keras ==2.2.4
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- Pillow ==6.2.0
- PyWavelets ==1.0.3
- PyYAML ==5.1.2
- Pygments ==2.4.2
- Send2Trash ==1.5.0
- Werkzeug ==0.16.0
- absl-py ==0.9.0
- appdirs ==1.4.3
- appnope ==0.1.0
- astor ==0.8.0
- astroid ==2.3.1
- asttokens ==2.0.2
- atomicwrites ==1.3.0
- attrs ==19.2.0
- backcall ==0.1.0
- black ==19.3b0
- bleach ==3.1.0
- cachetools ==4.0.0
- certifi ==2019.11.28
- chardet ==3.0.4
- cycler ==0.10.0
- decorator ==4.4.0
- defusedxml ==0.6.0
- entrypoints ==0.3
- executing ==0.3.2
- gast ==0.3.2
- google-api-python-client ==1.7.12
- google-auth ==1.11.2
- google-auth-httplib2 ==0.0.3
- google-auth-oauthlib ==0.4.1
- google-pasta ==0.1.7
- grpcio ==1.24.1
- h5py ==2.10.0
- httplib2 ==0.17.0
- idna ==2.9
- imageio ==2.6.1
- importlib-metadata ==0.23
- ipykernel ==5.1.2
- ipython ==7.8.0
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.1
- isort ==4.3.21
- jedi ==0.15.1
- joblib ==0.14.0
- jsonpickle ==1.2
- jsonschema ==3.0.2
- jupyter ==1.0.0
- jupyter-client ==5.3.3
- jupyter-console ==6.0.0
- jupyter-contrib-core ==0.3.3
- jupyter-contrib-nbextensions ==0.5.1
- jupyter-core ==4.5.0
- jupyter-highlight-selected-word ==0.2.0
- jupyter-latex-envs ==1.4.4
- jupyter-nbextensions-configurator ==0.4.1
- kiwisolver ==1.1.0
- lazy-object-proxy ==1.4.2
- littleutils ==0.2.1
- lxml ==4.4.1
- matplotlib ==3.1.1
- mccabe ==0.6.1
- mistune ==0.8.4
- mkl-fft ==1.0.14
- mkl-random ==1.1.0
- mkl-service ==2.3.0
- more-itertools ==7.2.0
- nbconvert ==5.6.0
- nbformat ==4.4.0
- networkx ==2.3
- notebook ==6.0.1
- numpy ==1.17.2
- oauthlib ==3.1.0
- opt-einsum ==3.1.0
- packaging ==19.2
- pandas ==0.25.1
- pandocfilters ==1.4.2
- parso ==0.5.1
- pexpect ==4.7.0
- pickleshare ==0.7.5
- pluggy ==0.13.0
- prometheus-client ==0.7.1
- prompt-toolkit ==2.0.10
- protobuf ==3.10.0
- psutil ==5.6.7
- ptyprocess ==0.6.0
- py ==1.8.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pylint ==2.4.2
- pyparsing ==2.4.2
- pyrsistent ==0.15.4
- pytest ==5.2.1
- python-dateutil ==2.8.0
- pytz ==2019.3
- pyzmq ==18.1.0
- qtconsole ==4.5.5
- requests ==2.23.0
- requests-oauthlib ==1.3.0
- rsa ==4.0
- scikit-image ==0.15.0
- scikit-learn ==0.21.3
- scipy ==1.3.1
- seaborn ==0.9.0
- segnet ==0.4
- six ==1.12.0
- sorcery ==0.2.0
- tb-nightly ==2.1.0a20191013
- tensorboard ==2.0.0
- tensorflow ==2.0.0
- tensorflow-estimator ==2.0.0
- termcolor ==1.1.0
- terminado ==0.8.2
- testpath ==0.4.2
- tf-estimator-nightly ==2.0.0.dev2019101301
- toml ==0.10.0
- tornado ==6.0.3
- traitlets ==4.3.3
- typed-ast ==1.4.0
- uritemplate ==3.0.1
- urllib3 ==1.25.8
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.5.1
- wrapt ==1.11.2
- zipp ==0.6.0