====== Useful Links ======

This page will contain links to helpful on-line material.

===== Recent News =====

[[https://aitopics.org/class/AI-Alerts|AI-Alerts]]

[[http://www.appcessories.co.uk/artificial-intelligence/|The State of Artificial Intelligence in 15 Visuals]]

[[https://groups.google.com/forum/?utm_source=digest&utm_medium=email/#!forum/jupyter|Ipython Notebook (Jupyter) google group]]


===== Python =====

[[http://www.scipy-lectures.org/|Scipy Lecture Notes]]

[[http://www.dataquest.io/blog/images/cheat-sheets/numpy-cheat-sheet.pdf|Numpy Cheat Sheet]]

[[https://www.jetbrains.com/pycharm/|PyCharm]]

[[https://realpython.com/blog/python/emacs-the-best-python-editor/|Emacs - the Best Python Editor?]]

Tips on how to make [[https://www.dataquest.io/blog/making-538-plots/?utm_source=Dataquest+Blog+Subscribers&utm_campaign=de416410d0-Blog_Post_2017_09_07_538_graphs&utm_medium=email&utm_term=0_9436fa3dc8-de416410d0-150779345|pretty matplotlib graphs]]

===== Python Debugging =====

[[https://pythonconquerstheuniverse.wordpress.com/category/python-debugger/|Debugging in ipython]]

[[https://pythonhosted.org/spyder/debugging.html|Debugging in Spyder]]

[[https://www.jetbrains.com/help/pycharm/part-1-debugging-python-code.html|Debugging in Pycharm]]
===== Jupyter Notebook ======

[[https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/|Jupyter Notebook Tips and Tricks]]

===== Reinforcement Learning =====

[[http://www.kurzweilai.net/public-beta-of-toolkit-for-developing-machine-learning-for-robots-and-games-released?utm_source=KurzweilAI+Daily+Newsletter&utm_campaign=6b6f7717aa-UA-946742-1&utm_medium=email&utm_term=0_6de721fb33-6b6f7717aa-281946553|OpenAI Gym]]