data-science-ipython-notebooks
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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, AW...
Hey, I see that there are no tutorial notebooks for implementing machine learning algorithms and neural networks in PyTorch in this repo yet. PyTorch is gaining a lot of traction...
"[Bokeh](http://bokeh.pydata.org/en/latest/) is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js,...
Title says it all. Is it possible to include a section for Sage related notebooks?
https://github.com/facebookresearch/dynalab/blob/main/.gitignore#L1-L27
The links at https://nbviewer.ipython.org is no longer working because it redirects you too many times, but the link at https://nbviewer.org works.
data science learning is difficult.
Python is a programming language widely used by Data Scientists. Python has in-built mathematical libraries and functions, making it easier to calculate mathematical problems and to perform data analysis.
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