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Update to Python 3.8

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Aurélien Geron 2021-10-16 18:14:20 +13:00
parent a655f25a65
commit 7e2b642ee8
2 changed files with 80 additions and 81 deletions
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85
environment.yml
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@ -3,52 +3,51 @@ channels:
- conda-forge - conda-forge
- defaults - defaults
dependencies: dependencies:
- atari_py=0.2.6 # used only in chapter 17 - atari_py=0.2.6 # used only in chapter 17
- box2d-py=2.3 # used only in chapter 17 - box2d-py=2.3 # used only in chapter 17
- ftfy=6.0 # used only in chapter 15 by the transformers library - ftfy=6.0 # used only in chapter 15 by the transformers library
- graphviz # used only in chapter 5 for dot files - graphviz # used only in chapter 5 for dot files
- gym=0.19 # used only in chapter 17 - gym=0.19 # used only in chapter 17
- ipython=7.28 # a powerful Python shell - ipython=7.28 # a powerful Python shell
- ipywidgets=7.6 # optionally used only in chapter 11 for tqdm in Jupyter - ipywidgets=7.6 # optionally used only in chapter 11 for tqdm in Jupyter
- joblib=0.14 # used only in chapter 2 to save/load Scikit-Learn models - joblib=0.14 # used only in chapter 2 to save/load Scikit-Learn models
- jupyter=1.0 # to edit and run Jupyter notebooks - jupyterlab=3.2 # to edit and run Jupyter notebooks
- matplotlib=3.4 # beautiful plots. See tutorial tools_matplotlib.ipynb - matplotlib=3.4 # beautiful plots. See tutorial tools_matplotlib.ipynb
- nbdime=3.1 # optional tool to diff Jupyter notebooks - nbdime=3.1 # optional tool to diff Jupyter notebooks
- nltk=3.6 # optionally used in chapter 3, exercise 4 - nltk=3.6 # optionally used in chapter 3, exercise 4
- numexpr=2.7 # used only in the Pandas tutorial for numerical expressions - numexpr=2.7 # used only in the Pandas tutorial for numerical expressions
- numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools - numpy=1.19 # Powerful n-dimensional arrays and numerical computing tools
- opencv=4.5 # used only in chapter 17 by TF Agents for image preprocessing - opencv=4.5 # used only in chapter 17 by TF Agents for image preprocessing
- pandas=1.3 # data analysis and manipulation tool - pandas=1.3 # data analysis and manipulation tool
- pillow=8.3 # image manipulation library, (used by matplotlib.image.imread) - pillow=8.3 # image manipulation library, (used by matplotlib.image.imread)
- pip # Python's package-management system - pip # Python's package-management system
- py-xgboost=1.4 # used only in chapter 6 for optimized Gradient Boosting - py-xgboost=1.4 # used only in chapter 6 for optimized Gradient Boosting
- pyglet=1.5 # used only in chapter 17 to render environments - pyglet=1.5 # used only in chapter 17 to render environments
- pyopengl=3.1 # used only in chapter 17 to render environments - pyopengl=3.1 # used only in chapter 17 to render environments
- python=3.7 # Python! Not using latest version as some libs lack support - python=3.8 # Python! Not using latest version as some libs lack support
- python-graphviz # used only in chapter 5 for dot files - python-graphviz # used only in chapter 5 for dot files
- pyvirtualdisplay=2.2 # used only in chapter 17 if on headless server - pyvirtualdisplay=2.2 # used only in chapter 17 if on headless server
- requests=2.26 # used only in chapter 18 for REST API queries - requests=2.26 # used only in chapter 18 for REST API queries
- scikit-learn=1.0 # machine learning library - scikit-learn=1.0 # machine learning library
- scipy=1.7 # scientific/technical computing library - scipy=1.7 # scientific/technical computing library
- tqdm=4.62 # a progress bar library - tqdm=4.62 # a progress bar library
- wheel # built-package format for pip - wheel # built-package format for pip
- widgetsnbextension=3.5 # interactive HTML widgets for Jupyter notebooks - widgetsnbextension=3.5 # interactive HTML widgets for Jupyter notebooks
- pip: - pip:
- tensorboard-plugin-profile==2.5.0 # profiling plugin for TensorBoard - tensorboard-plugin-profile~=2.5.0 # profiling plugin for TensorBoard
- tensorboard==2.6.0 # TensorFlow's visualization toolkit - tensorboard~=2.7.0 # TensorFlow's visualization toolkit
- tensorflow-addons==0.14.0 # used only in chapter 15 for a seq2seq impl. - tensorflow-addons~=0.14.0 # used only in chapter 15 for a seq2seq impl.
- tensorflow-datasets==4.4.0 # datasets repository, ready to use - tensorflow-datasets~=4.4.0 # datasets repository, ready to use
- tensorflow-hub==0.12.0 # trained ML models repository, ready to use - tensorflow-hub~=0.12.0 # trained ML models repository, ready to use
- tensorflow-probability==0.14.1 # Optional. Probability/Stats lib. - tensorflow-probability~=0.14.1 # Optional. Probability/Stats lib.
- tensorflow-serving-api==2.6.0 # or tensorflow-serving-api-gpu if gpu - tensorflow-serving-api~=2.6.0 # or tensorflow-serving-api-gpu if gpu
- tensorflow==2.6.0 # Deep Learning library - tensorflow~=2.6.0 # Deep Learning library
- tf-agents==0.10.0 # Reinforcement Learning lib based on TensorFlow - tf-agents~=0.10.0 # Reinforcement Learning lib based on TensorFlow
- tfx==1.3.0 # platform to deploy production ML pipelines - tfx~=1.3.0 # platform to deploy production ML pipelines
- transformers==4.11.3 # Natural Language Processing lib for TF or PyTorch - transformers~=4.11.3 # Natural Language Processing lib for TF or PyTorch
- urlextract==1.4.0 # optionally used in chapter 3, exercise 4 - urlextract~=1.4.0 # optionally used in chapter 3, exercise 4
- attrs=20.3 - attrs=20.3
- click=7.1 - click=7.1
- packaging=20.9 - packaging=20.9
- six=1.15 - six=1.15
- typing-extensions=3.7 - typing-extensions=3.7

76
requirements.txt
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@ -4,20 +4,20 @@
##### Core scientific packages ##### Core scientific packages
jupyter==1.0.0 jupyterlab~=3.2.0
matplotlib==3.4.3 matplotlib~=3.4.3
numpy==1.19.5 numpy~=1.19.5
pandas==1.3.3 pandas~=1.3.3
scipy==1.7.1 scipy~=1.7.1
##### Machine Learning packages ##### Machine Learning packages
scikit-learn==1.0 scikit-learn~=1.0
# Optional: the XGBoost library is only used in chapter 7 # Optional: the XGBoost library is only used in chapter 7
xgboost==1.4.2 xgboost~=1.4.2
# Optional: the transformers library is only using in chapter 16 # Optional: the transformers library is only using in chapter 16
transformers==4.11.3 transformers~=4.11.3
##### TensorFlow-related packages ##### TensorFlow-related packages
@ -27,70 +27,70 @@ transformers==4.11.3
# you must install CUDA, cuDNN and more: see tensorflow.org for the detailed # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
# installation instructions. # installation instructions.
tensorflow==2.6.0 tensorflow~=2.6.0
# Optional: the TF Serving API library is just needed for chapter 19. # Optional: the TF Serving API library is just needed for chapter 19.
tensorflow-serving-api==2.6.0 # or tensorflow-serving-api-gpu if gpu tensorflow-serving-api~=2.6.0 # or tensorflow-serving-api-gpu if gpu
tensorboard==2.6.0 tensorboard~=2.7.0
tensorboard-plugin-profile==2.5.0 tensorboard-plugin-profile~=2.5.0
tensorflow-datasets==4.4.0 tensorflow-datasets~=4.4.0
tensorflow-hub==0.12.0 tensorflow-hub~=0.12.0
tensorflow-probability==0.14.1 tensorflow-probability~=0.14.1
# Optional: only used in chapter 13. # Optional: only used in chapter 12.
# NOT AVAILABLE ON WINDOWS # NOT AVAILABLE ON WINDOWS
tfx==1.3.0 tfx~=1.3.0
# Optional: only used in chapter 16. # Optional: only used in chapter 15.
# NOT AVAILABLE ON WINDOWS # NOT AVAILABLE ON WINDOWS
tensorflow-addons==0.14.0 tensorflow-addons~=0.14.0
##### Reinforcement Learning library (chapter 18) ##### Reinforcement Learning library (chapter 17)
# There are a few dependencies you need to install first, check out: # There are a few dependencies you need to install first, check out:
# https://github.com/openai/gym#installing-everything # https://github.com/openai/gym#installing-everything
gym[Box2D]==0.21.0 gym[Box2D]~=0.21.0
atari-py==0.2.5 atari-py==0.2.5
# On Windows, install atari_py using: # On Windows, install atari_py using:
# pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py # pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
tf-agents==0.10.0 tf-agents~=0.10.0
##### Image manipulation ##### Image manipulation
Pillow==8.3.2 Pillow~=8.4.0
graphviz==0.17 graphviz~=0.17
opencv-python==4.5.3.56 opencv-python~=4.5.3.56
pyglet==1.5.21 pyglet~=1.5.21
#pyvirtualdisplay # needed in chapter 16, if on a headless server #pyvirtualdisplay # needed in chapter 17, if on a headless server
# (i.e., without screen, e.g., Colab or VM) # (i.e., without screen, e.g., Colab or VM)
##### Additional utilities ##### Additional utilities
# Efficient jobs (caching, parallelism, persistence) # Efficient jobs (caching, parallelism, persistence)
joblib==0.14.1 joblib~=0.14.1
# Easy http requests # Easy http requests
requests==2.26.0 requests~=2.26.0
# Nice utility to diff Jupyter Notebooks. # Nice utility to diff Jupyter Notebooks.
nbdime==3.1.0 nbdime~=3.1.0
# May be useful with Pandas for complex "where" clauses (e.g., Pandas # May be useful with Pandas for complex "where" clauses (e.g., Pandas
# tutorial). # tutorial).
numexpr==2.7.3 numexpr~=2.7.3
# Optional: these libraries can be useful in the classification chapter, # Optional: these libraries can be useful in the chapter 3, exercise 4.
# exercise 4. nltk~=3.6.5
nltk==3.6.3 urlextract~=1.4.0
urlextract==1.4.0
# Optional: these libraries are only used in chapter 16 # Optional: these libraries are only used in chapter 16
ftfy==6.0.3 ftfy~=6.0.3
# Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support # Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
tqdm==4.62.3 tqdm~=4.62.3
ipywidgets==7.6.5 ipywidgets~=7.6.5