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Title: GitHub - pythoner2019/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Open Graph Title: GitHub - pythoner2019/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

X Title: GitHub - pythoner2019/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Description: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. - pythoner2019/data-science-ipython-notebooks

Open Graph Description: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,...

X Description: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,...

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tsf-gpu	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/4_multi_gpu/multigpu_basics.ipynb
tsf-gviz	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb
tsf-lviz	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb
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tsf-fully-connected	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/2_fullyconnected.ipynb
tsf-regularization	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/3_regularization.ipynb
tsf-convolutions	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/4_convolutions.ipynb
tsf-word2vec	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/5_word2vec.ipynb
tsf-lstm	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-exercises/6_lstm.ipynb
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theano-scan	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/scan_tutorial/scan_tutorial.ipynb
theano-logistic	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/intro_theano/logistic_regression.ipynb
theano-rnn	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/rnn_tutorial/simple_rnn.ipynb
theano-mlp	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/theano-tutorial/theano_mlp/theano_mlp.ipynb
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intro-deep-learning-ann	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/1.1%20Introduction%20-%20Deep%20Learning%20and%20ANN.ipynb
theano	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/1.2%20Introduction%20-%20Theano.ipynb
keras-otto	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/1.3%20Introduction%20-%20Keras.ipynb
ann-mnist	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/1.4%20%28Extra%29%20A%20Simple%20Implementation%20of%20ANN%20for%20MNIST.ipynb
conv-nets	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/2.1%20Supervised%20Learning%20-%20ConvNets.ipynb
conv-net-1	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/2.2.1%20Supervised%20Learning%20-%20ConvNet%20HandsOn%20Part%20I.ipynb
conv-net-2	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/2.2.2%20Supervised%20Learning%20-%20ConvNet%20HandsOn%20Part%20II.ipynb
keras-models	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/2.3%20Supervised%20Learning%20-%20Famous%20Models%20with%20Keras.ipynb
auto-encoders	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/3.1%20Unsupervised%20Learning%20-%20AutoEncoders%20and%20Embeddings.ipynb
rnn-lstm	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/3.2%20RNN%20and%20LSTM.ipynb
lstm-sentence-gen	https://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/keras-tutorial/3.3%20%28Extra%29%20LSTM%20for%20Sentence%20Generation.ipynb
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deep-dream	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/deep-dream/dream.ipynb
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intro	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb
knn	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-intro.ipynb#K-Nearest-Neighbors-Classifier
linear-reg	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-linear-reg.ipynb
svm	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-svm.ipynb
random-forest	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-random-forest.ipynb
k-means	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-k-means.ipynb
pca	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-pca.ipynb
gmm	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-gmm.ipynb
validation	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scikit-learn/scikit-learn-validation.ipynb
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effect-size	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/effect_size.ipynb
sampling	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/sampling.ipynb
hypothesis	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/scipy/hypothesis.ipynb
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pandas	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/pandas.ipynb
github-data-wrangling	https://github.com/donnemartin/viz/blob/master/githubstats/data_wrangling.ipynb
Viz	https://github.com/donnemartin/viz
Introduction-to-Pandas	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.00-Introduction-to-Pandas.ipynb
Introducing-Pandas-Objects	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.01-Introducing-Pandas-Objects.ipynb
Data Indexing and Selection	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.02-Data-Indexing-and-Selection.ipynb
Operations-in-Pandas	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.03-Operations-in-Pandas.ipynb
Missing-Values	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.04-Missing-Values.ipynb
Hierarchical-Indexing	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.05-Hierarchical-Indexing.ipynb
Concat-And-Append	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.06-Concat-And-Append.ipynb
Merge-and-Join	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.07-Merge-and-Join.ipynb
Aggregation-and-Grouping	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.08-Aggregation-and-Grouping.ipynb
Pivot-Tables	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.09-Pivot-Tables.ipynb
Working-With-Strings	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.10-Working-With-Strings.ipynb
Working-with-Time-Series	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.11-Working-with-Time-Series.ipynb
Performance-Eval-and-Query	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/03.12-Performance-Eval-and-Query.ipynb
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matplotlib	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib.ipynb
matplotlib-applied	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib-applied.ipynb
Introduction-To-Matplotlib	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.00-Introduction-To-Matplotlib.ipynb
Simple-Line-Plots	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.01-Simple-Line-Plots.ipynb
Simple-Scatter-Plots	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.02-Simple-Scatter-Plots.ipynb
Errorbars.ipynb	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.03-Errorbars.ipynb
Density-and-Contour-Plots	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.04-Density-and-Contour-Plots.ipynb
Histograms-and-Binnings	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.05-Histograms-and-Binnings.ipynb
Customizing-Legends	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.06-Customizing-Legends.ipynb
Customizing-Colorbars	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.07-Customizing-Colorbars.ipynb
Multiple-Subplots	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.08-Multiple-Subplots.ipynb
Text-and-Annotation	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.09-Text-and-Annotation.ipynb
Customizing-Ticks	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.10-Customizing-Ticks.ipynb
Settings-and-Stylesheets	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.11-Settings-and-Stylesheets.ipynb
Three-Dimensional-Plotting	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.12-Three-Dimensional-Plotting.ipynb
Geographic-Data-With-Basemap	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.13-Geographic-Data-With-Basemap.ipynb
Visualization-With-Seaborn	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/04.14-Visualization-With-Seaborn.ipynb
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numpy	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/numpy.ipynb
Introduction-to-NumPy	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.00-Introduction-to-NumPy.ipynb
Understanding-Data-Types	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.01-Understanding-Data-Types.ipynb
The-Basics-Of-NumPy-Arrays	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.02-The-Basics-Of-NumPy-Arrays.ipynb
Computation-on-arrays-ufuncs	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.03-Computation-on-arrays-ufuncs.ipynb
Computation-on-arrays-aggregates	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.04-Computation-on-arrays-aggregates.ipynb
Computation-on-arrays-broadcasting	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.05-Computation-on-arrays-broadcasting.ipynb
Boolean-Arrays-and-Masks	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.06-Boolean-Arrays-and-Masks.ipynb
Fancy-Indexing	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.07-Fancy-Indexing.ipynb
Sorting	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.08-Sorting.ipynb
Structured-Data-NumPy	http://nbviewer.jupyter.org/github/donnemartin/data-science-ipython-notebooks/blob/master/numpy/02.09-Structured-Data-NumPy.ipynb
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data structures	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/structs.ipynb
data structure utilities	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/structs_utils.ipynb
functions	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/functions.ipynb
datetime	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/datetime.ipynb
logging	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/logs.ipynb
pdb	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/pdb.ipynb
unit tests	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/python-data/unit_tests.ipynb
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kaggle	https://www.kaggle.com/
titanic	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/kaggle/titanic.ipynb
churn-analysis	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/analyses/churn.ipynb
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hdfs	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/spark/hdfs.ipynb
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mrjob	https://github.com/Yelp/mrjob
Disco	https://github.com/discoproject/disco/
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SAWS	https://github.com/donnemartin/saws
Awesome AWS	https://github.com/donnemartin/awesome-aws
boto	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#Boto
s3cmd	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#s3cmd
s3distcp	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#s3distcp
s3-parallel-put	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#s3-parallel-put
redshift	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#redshift
kinesis	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/aws/aws.ipynb#kinesis
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linux	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/linux.ipynb
anaconda	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#anaconda
ipython notebook	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#ipython-notebook
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ruby	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#ruby
jekyll	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#jekyll
pelican	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#pelican
django	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/commands/misc.ipynb#django
Pyramid	https://github.com/Pylons/pyramid
Flask	https://github.com/pallets/flask
Tornado	https://github.com/tornadoweb/tornado
Bottle	https://github.com/bottlepy/bottle
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#misc
regex	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/misc/regex.ipynb
algorithmia	http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/misc/Algorithmia.ipynb
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#notebook-installation
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#anaconda
Anaconda	https://docs.continuum.io/anaconda/install
miniconda	http://conda.pydata.org/miniconda.html
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#dev-setup
dev-setup	https://github.com/donnemartin/dev-setup
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#running-notebooks
here.	http://ipython.org/notebook.html
	https://patch-diff.githubusercontent.com/pythoner2019/data-science-ipython-notebooks#credits
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython	http://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1449319793
PyCon 2015 Scikit-learn Tutorial	https://github.com/jakevdp/sklearn_pycon2015
Python Data Science Handbook	https://github.com/jakevdp/PythonDataScienceHandbook
Parallel Machine Learning with scikit-learn and IPython	https://github.com/ogrisel/parallel_ml_tutorial
Statistical Interference Using Computational Methods in Python	https://github.com/AllenDowney/CompStats
TensorFlow Examples	https://github.com/aymericdamien/TensorFlow-Examples
TensorFlow Tutorials	https://github.com/pkmital/tensorflow_tutorials
TensorFlow Tutorials	https://github.com/nlintz/TensorFlow-Tutorials
TensorFlow Tutorials	https://github.com/alrojo/tensorflow-tutorial
TensorFlow Book	https://github.com/BinRoot/TensorFlow-Book
Summer School 2015	https://github.com/mila-udem/summerschool2015
Keras tutorials	https://github.com/leriomaggio/deep-learning-keras-tensorflow
Kaggle	https://www.kaggle.com/
Yhat Blog	http://blog.yhat.com/
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