Hacker News
- Python Data Science Handbook: Full Text in Jupyter Notebooks https://github.com/jakevdp/PythonDataScienceHandbook 36 comments
- This is an OUTSTANDING resource for Python data science: whole book as free Jupyter notebooks https://github.com/jakevdp/PythonDataScienceHandbook 6 comments datascience
Linking pages
- Python Data Science Handbook | Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/ 69 comments
- GitHub - devinpleuler/analytics-handbook: Getting started with soccer analytics https://github.com/devinpleuler/analytics-handbook 43 comments
- GitHub - Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding https://github.com/Avik-Jain/100-Days-Of-ML-Code 35 comments
- GitHub - donnemartin/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. https://github.com/donnemartin/data-science-ipython-notebooks 34 comments
- GitHub - donnemartin/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. https://github.com/donnemartin/data-science-notebooks 21 comments
- Hiring a data scientist – Diff https://blog.wikimedia.org/2017/02/02/hiring-data-scientist/ 19 comments
- How I Got a Job at Google DeepMind (No ML Degree) | Medium https://gordicaleksa.medium.com/how-i-got-a-job-at-deepmind-as-a-research-engineer-without-a-machine-learning-degree-1a45f2a781de 10 comments
- GitHub - oprogramador/github-languages: GitHub languages statistics https://github.com/oprogramador/github-languages 5 comments
- GitHub - firmai/awesome-google-colab: Google Colaboratory Notebooks and Repositories (by @firmai) https://github.com/firmai/awesome-google-colab/blob/master/README.md 4 comments
- Group-by From Scratch | Pythonic Perambulations https://jakevdp.github.io/blog/2017/03/22/group-by-from-scratch/ 3 comments
- Example 3B: Short Format — Tooling | by Derek Snow | Medium https://medium.com/@firmai/google-colab-for-reproducible-research-webapps-and-data-science-fb1beec30304 1 comment
- Hiring a data scientist – Diff https://blog.wikimedia.org/2017/02/02/hiring-data-scientist/?cmp=em-data-na-na-newsltr_20170913&imm_mid=0f60a1 0 comments
- GitHub - firmai/awesome-google-colab: Google Colaboratory Notebooks and Repositories (by @firmai) https://github.com/firmai/google-colab-notebooks 0 comments
- Introduction to pandas: data analytics in Python https://khashtamov.com/en/pandas-data-analysis/ 0 comments
- GitHub - donnemartin/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. https://github.com/donnemartin/data-notes 0 comments
- GitHub - ian-r-rose/jupyterlab-toc: Table of Contents extension for JupyterLab https://github.com/ian-r-rose/jupyterlab-toc 0 comments
- 101+ Free Python Books – Finxter https://blog.finxter.com/free-python-books/ 0 comments
- Reproducible Data Analysis in Jupyter | Pythonic Perambulations https://jakevdp.github.io/blog/2017/03/03/reproducible-data-analysis-in-jupyter/ 0 comments
- From Beginner To Pro: Python Books, Videos And Resources - PyBites http://pybit.es/python-resources.html 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/okulbilisim/awesome-datascience 0 comments
Linked pages
- Python Data Science Handbook | Python Data Science Handbook https://jakevdp.github.io/PythonDataScienceHandbook/ 69 comments
- Matplotlib — Visualization with Python http://matplotlib.org/ 46 comments
- pandas - Python Data Analysis Library http://pandas.pydata.org/ 34 comments
- Google Colab https://colab.research.google.com/#scrollTo=Nma_JWh-W-IF 25 comments
- Jupyter and the future of IPython — IPython http://ipython.org/ 24 comments
- NumPy https://numpy.org 17 comments
- The MIT License | Open Source Initiative https://opensource.org/licenses/MIT 15 comments
- scikit-learn: machine learning in Python — scikit-learn 0.16.1 documentation http://scikit-learn.org/ 13 comments
- Binder https://beta.mybinder.org/ 5 comments
- Jupyter Notebook Viewer https://nbviewer.jupyter.org/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb 0 comments
- GitHub - jakevdp/WhirlwindTourOfPython: The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python" https://github.com/jakevdp/WhirlwindTourOfPython 0 comments
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