Hello folks,
Released under the Creative Commons Attribution-NonCommercial 4.0 International License [1]http://creativecommons.org/licenses/by-nc/4.0/ Prealgebra via Python programming is available at: [2]https://www.researchgate.net/publication/325473565 In case you find yourself in the mood to collaborate to improve the readability and/or enhance/enrich the content of the book, feel free to contact me at the above email address. Sergio -- Enhance your [3]#MachineLearning and [4]#BigData skills via [5]#Python and [6]#SciPy 1. [7]https://www.packtpub.com/big-data-and-business-intelligence/numerical-and-scientific-computing-scipy-video <br> 2. [8]https://www.packtpub.com/big-data-and-business-intelligence/learning-scipy-numerical-and-scientific-computing-second-edition <br> 3. Python book en Castellano (distribucion gratuita): [9]https://www.researchgate.net/publication/301293668 References Visible links 1. http://creativecommons.org/licenses/by-nc/4.0/ 2. https://www.researchgate.net/publication/325473565 3. https://twitter.com/hashtag/machinelearning 4. https://twitter.com/hashtag/bigdata 5. https://twitter.com/hashtag/python 6. https://twitter.com/hashtag/scipy 7. https://www.packtpub.com/big-data-and-business-intelligence/numerical-and-scientific-computing-scipy-video 8. https://www.packtpub.com/big-data-and-business-intelligence/learning-scipy-numerical-and-scientific-computing-second-edition 9. https://www.researchgate.net/publication/301293668 _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
