teaching:methcalchim:start

# Différences

Ci-dessous, les différences entre deux révisions de la page.

 teaching:methcalchim:start [2021/05/21 10:49]villersd teaching:methcalchim:start [2021/05/21 16:03] (Version actuelle)villersd [References] 2021/05/21 16:03 villersd [References] 2021/05/21 10:49 villersd 2021/05/21 10:05 villersd 2021/05/05 10:06 villersd [References] 2021/03/16 08:02 villersd [Miscellaneous] 2021/02/23 09:42 villersd [References] 2021/01/22 13:31 villersd [Fundamental numerical methods] 2021/01/22 13:23 villersd [Fundamental numerical methods] 2021/01/22 12:41 villersd 2020/09/01 09:52 villersd [Miscellaneous] 2020/06/02 03:08 villersd [Classical numerical methods] 2019/12/12 08:46 villersd [Miscellaneous] 2019/05/13 11:45 villersd [Miscellaneous] 2019/03/17 23:16 villersd [Classical numerical methods] 2018/12/12 10:33 villersd 2018/10/31 09:00 villersd [References] 2018/10/18 10:01 villersd 2018/10/08 16:10 villersd 2018/10/08 13:22 villersd 2018/10/08 13:21 villersd 2018/02/26 12:16 villersd 2017/12/15 09:36 villersd [Miscellaneous] 2017/12/10 10:46 villersd [Jupyter notebooks] 2017/11/06 22:01 villersd 2017/10/31 04:13 villersd [Miscellaneous] 2017/10/31 03:57 villersd 2017/10/31 03:19 villersd [Books] 2021/05/21 16:03 villersd [References] 2021/05/21 10:49 villersd 2021/05/21 10:05 villersd 2021/05/05 10:06 villersd [References] 2021/03/16 08:02 villersd [Miscellaneous] 2021/02/23 09:42 villersd [References] 2021/01/22 13:31 villersd [Fundamental numerical methods] 2021/01/22 13:23 villersd [Fundamental numerical methods] 2021/01/22 12:41 villersd 2020/09/01 09:52 villersd [Miscellaneous] 2020/06/02 03:08 villersd [Classical numerical methods] 2019/12/12 08:46 villersd [Miscellaneous] 2019/05/13 11:45 villersd [Miscellaneous] 2019/03/17 23:16 villersd [Classical numerical methods] 2018/12/12 10:33 villersd 2018/10/31 09:00 villersd [References] 2018/10/18 10:01 villersd 2018/10/08 16:10 villersd 2018/10/08 13:22 villersd 2018/10/08 13:21 villersd 2018/02/26 12:16 villersd 2017/12/15 09:36 villersd [Miscellaneous] 2017/12/10 10:46 villersd [Jupyter notebooks] 2017/11/06 22:01 villersd 2017/10/31 04:13 villersd [Miscellaneous] 2017/10/31 03:57 villersd 2017/10/31 03:19 villersd [Books] 2017/10/29 10:19 villersd [Programming bases and tools] 2017/10/29 09:57 villersd 2017/10/13 08:25 villersd 2017/10/08 18:03 villersd [Programming bases and tools] 2017/10/06 10:46 villersd 2017/10/06 10:16 villersd 2017/10/06 10:03 villersd [Calculation methods applied to chemistry] 2017/09/28 10:14 villersd 2017/05/11 16:24 villersd 2017/05/11 16:18 villersd [Références] 2017/04/13 11:01 villersd 2017/04/13 10:58 villersd [Références] 2016/12/21 09:12 villersd 2016/12/20 13:37 villersd 2016/12/06 11:58 villersd [Références] 2016/11/25 10:43 villersd 2016/11/25 09:01 villersd 2016/10/11 15:52 villersd 2016/10/11 15:14 villersd 2016/10/10 09:25 villersd 2016/09/28 17:27 villersd créée Ligne 175: Ligne 175: * misc docs : * misc docs : * [[https://pdfs.semanticscholar.org/3161/89e419212794e74bf83442f65de96b5320ba.pdf|Extraction of chemical structures and reactions from the literature]] * [[https://pdfs.semanticscholar.org/3161/89e419212794e74bf83442f65de96b5320ba.pdf|Extraction of chemical structures and reactions from the literature]] + * [[https://medium.com/nerd-for-tech/animating-schrodinger-wave-function-%CF%88-of-a-particle-using-python-with-full-code-5ad9e4852906|Animating Schrodinger Wave Function(ψ) of a Particle Using Python (with full code) - Solving Particle in a Box Using Crank-Nicolson Method]], Kowshik chilamkurthy, Medium, 02/03/2021 * Blog articles * Blog articles * [[https://py.plainenglish.io/linear-regression-in-plain-python-3b20bb56b31d|Simple Linear Regression Explained With Python - Explained in details which are easy to understand]] Arjan de Haan, Medium, Jan 23 (+ [[https://github.com/Vepnar/Script-Collection/blob/master/linear-regression/Linear%20regression.ipynb|jupyter notebook]]) * [[https://py.plainenglish.io/linear-regression-in-plain-python-3b20bb56b31d|Simple Linear Regression Explained With Python - Explained in details which are easy to understand]] Arjan de Haan, Medium, Jan 23 (+ [[https://github.com/Vepnar/Script-Collection/blob/master/linear-regression/Linear%20regression.ipynb|jupyter notebook]])
• teaching/methcalchim/start.txt
• Dernière modification: 2021/05/21 16:03
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