Hacker News
- Data Notes: Collection of IPython Notebooks for Data Science https://github.com/donnemartin/data-science-ipython-notebooks 9 comments
- Learning Python for Data Science with continually updated Data Science IPython Notebooks: Deep learning, Spark, Hadoop MapReduce, Kaggle, scikit-learn, matplotlib, pandas, NumPy, AWS, Python essentials, and various command lines https://github.com/donnemartin/data-science-ipython-notebooks#python-data 13 comments cscareerquestions
- Continually updated Data Science Python Notebooks: Statistical Inference, SciPy, NumPy, Pandas, matplotlib, Kaggle, scikit-learn, Spark, Hadoop MapReduce, HDFS, AWS, and various command lines https://github.com/donnemartin/data-science-ipython-notebooks 4 comments statistics
- Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, and various command lines. https://github.com/donnemartin/data-science-ipython-notebooks 8 comments datascience
Linking pages
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- How To Learn Data Science - My path | by Senthil E | Towards Data Science https://towardsdatascience.com/how-to-learn-data-science-my-path-ba7b9aa94f63?sk=47d16e88a2bcb0635ab14792b0092fb6&source=friends_link 41 comments
- GitHub - donnemartin/dev-setup: macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults. https://github.com/donnemartin/dev-setup/blob/master/README.md 19 comments
- How To Learn Data Science - My path | by Senthil E | Towards Data Science https://medium.com/p/how-to-learn-data-science-my-path-ba7b9aa94f63?sk=47d16e88a2bcb0635ab14792b0092fb6&source=email-1d8fcdc16d73--writer.postDistributed 13 comments
- GitHub - donnemartin/awesome-aws: A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. https://github.com/donnemartin/awesome 12 comments
- GitHub - donnemartin/awesome-aws: A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. https://github.com/donnemartin/awesome-aws 7 comments
- Trending AI projects of the week 44-19 | by Roman Orac | Towards Data Science https://towardsdatascience.com/trending-ai-projects-of-the-week-44-19-1fb4085edf59 4 comments
- GitHub - donnemartin/awesome-aws: A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. https://github.com/donnemartin/awesome-aws.git 4 comments
- GitHub - erikgahner/awesome-statistics: A curated collection of links to statistics material https://github.com/erikgahner/awesome-statistics 0 comments
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - mbadry1/Top-Deep-Learning: Top 200 deep learning Github repositories sorted by the number of stars. https://github.com/mbadry1/Top-Deep-Learning 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
- GitHub - quarbby/links-and-resources: :pencil2: A collection of textbooks, links and resources during our studying years in NUS SoC https://github.com/quarbby/links-and-resources 0 comments
- GitHub - academic/awesome-datascience: An awesome Data Science repository to learn and apply for real world problems. https://github.com/bulutyazilim/awesome-datascience 0 comments
- GitHub - ujjwalkarn/DataSciencePython: common data analysis and machine learning tasks using python https://github.com/ujjwalkarn/DataSciencePython 0 comments
- GitHub - sderosiaux/every-single-day-i-tldr: A daily digest of the articles or videos I've found interesting, that I want to share with you. https://github.com/sderosiaux/every-single-day-i-tldr 0 comments
- GitHub - StijnMiroslav/top-starred-devs-and-repos-to-follow: The Top-Starred Python GitHub Devs, Orgs, and Repos to Follow (All-Time and Trending) https://github.com/StijnMiroslav/top-devs-and-repos-to-follow 0 comments
- GitHub - antontarasenko/awesome-economics: A curated collection of links for economists https://github.com/antontarasenko/awesome-economics 0 comments
Linked pages
- Kaggle: Your Machine Learning and Data Science Community http://www.kaggle.com 204 comments
- GitHub - donnemartin/saws: A supercharged AWS command line interface (CLI). https://github.com/donnemartin/saws 82 comments
- GitHub - aymericdamien/TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) https://github.com/aymericdamien/TensorFlow-Examples 50 comments
- GitHub - jakevdp/PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks https://github.com/jakevdp/PythonDataScienceHandbook 43 comments
- GitHub - pkmital/tensorflow_tutorials: From the basics to slightly more interesting applications of Tensorflow https://github.com/pkmital/tensorflow_tutorials 24 comments
- GitHub - donnemartin/dev-setup: macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults. https://github.com/donnemartin/dev-setup/blob/master/README.md 19 comments
- GitHub - pallets/flask: The Python micro framework for building web applications. https://github.com/pallets/flask/ 17 comments
- GitHub - BinRoot/TensorFlow-Book: Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations. https://github.com/binroot/tensorflow-book 16 comments
- GitHub - donnemartin/viz: Visualize GitHub's most popular repos. http://www.donnemartin.com/viz https://github.com/donnemartin/viz 9 comments
- GitHub - donnemartin/awesome-aws: A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome. https://github.com/donnemartin/awesome-aws 7 comments
- GitHub - tornadoweb/tornado: Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. https://github.com/tornadoweb/tornado 2 comments
- The Jupyter Notebook — IPython http://ipython.org/notebook.html 1 comment
- GitHub - Yelp/mrjob: Run MapReduce jobs on Hadoop or Amazon Web Services https://github.com/Yelp/mrjob/ 0 comments
- GitHub - alrojo/tensorflow-tutorial: Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE https://github.com/alrojo/tensorflow-tutorial 0 comments
- GitHub - discoproject/disco: a Map/Reduce framework for distributed computing https://github.com/discoproject/disco 0 comments
- GitHub - nlintz/TensorFlow-Tutorials: Simple tutorials using Google's TensorFlow Framework https://github.com/nlintz/TensorFlow-Tutorials 0 comments
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