46 lines
2.6 KiB
YAML
46 lines
2.6 KiB
YAML
name: homl3
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channels:
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- conda-forge
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- defaults
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dependencies:
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- box2d-py=2.3 # used only in chapter 18, exercise 8
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- ffmpeg=6.1 # used only in the matplotlib tutorial to generate animations
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- graphviz # used only in chapter 6 for dot files
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- python-graphviz # used only in chapter 6 for dot files
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- ipython=8.17 # a powerful Python shell
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- ipywidgets=8.1 # optionally used only in chapter 12 for tqdm in Jupyter
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- joblib=1.3 # used only in chapter 2 to save/load Scikit-Learn models
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- jupyterlab=4.0 # to edit and run Jupyter notebooks
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- matplotlib=3.8 # beautiful plots. See tutorial tools_matplotlib.ipynb
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- nbdime=3.2 # optional tool to diff Jupyter notebooks
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- nltk=3.8 # optionally used in chapter 3, exercise 4
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- numexpr=2.8 # used only in the Pandas tutorial for numerical expressions
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- numpy=1.26 # Powerful n-dimensional arrays and numerical computing tools
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- pandas=2.1 # data analysis and manipulation tool
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- pillow=10.1 # image manipulation library, (used by matplotlib.image.imread)
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- pip # Python's package-management system
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- py-xgboost=1.7 # used only in chapter 6 for optimized Gradient Boosting
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- pydot=1.4 # used only for in chapter 10 for tf.keras.utils.plot_model()
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- python=3.10 # your beloved programming language! :)
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- requests=2.31 # used only in chapter 19 for REST API queries
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- scikit-learn=1.3 # machine learning library
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- scipy=1.11 # scientific/technical computing library
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- statsmodels=0.14 # used only in chapter 15 for time series analysis
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- tqdm=4.66 # used only in chapter 12 to display nice progress bars
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- wheel # built-package format for pip
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- widgetsnbextension=4.0 # interactive HTML widgets for Jupyter notebooks
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- pip:
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- keras-core # used in chapter 10
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- keras-tuner~=1.4.6 # used in chapters 10 and 19 for hyperparameter tuning
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- tensorboard-plugin-profile~=2.14.0 # profiling plugin for TensorBoard
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- tensorboard~=2.14.1 # TensorFlow's visualization toolkit
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- tensorflow-datasets~=4.9.3 # datasets repository, ready to use
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- tensorflow-hub~=0.15.0 # trained ML models repository, ready to use
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- tensorflow-serving-api~=2.14.0 # or tensorflow-serving-api-gpu if gpu
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- tensorflow~=2.14.0 # Deep Learning library
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- transformers~=4.35.0 # Natural Language Processing lib for TF or PyTorch
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- urlextract~=1.8.0 # optionally used in chapter 3, exercise 4
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- gym[classic_control,atari,accept-rom-license] # used only in ch18
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- google-cloud-aiplatform~=1.36.2 # used only in chapter 19
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- google-cloud-storage~=2.13.0 # used only in chapter 19
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