Python - Revision history

JLFlyer: /* Python */

2019-03-17T04:44:16Z

‎Python

Alchemyst at 03:25, 13 February 2019

2019-02-13T03:25:15Z

Alchemyst: /* Python */

2018-04-27T03:39:44Z

‎Python

Alchemyst at 03:36, 27 April 2018

2018-04-27T03:36:29Z

Alchemyst at 14:58, 9 March 2017

2017-03-09T14:58:17Z

Alchemyst: /* Scientific computing */

2016-07-28T11:21:56Z

‎Scientific computing

Alchemyst: /* Thermo-Physical Properties of Materials */

2016-07-08T10:14:36Z

‎Thermo-Physical Properties of Materials

JLFlyer at 09:05, 7 July 2016

2016-07-07T09:05:02Z

Alchemyst: /* Installation */

2016-03-11T10:13:01Z

‎Installation

Alchemyst: /* Python */

2015-04-20T08:21:45Z

‎Python

← Older revision		Revision as of 04:44, 17 March 2019
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	* [https://github.com/CalebBell/thermo#thermo Thermo] facilitates the retrieval of constants of chemicals, the calculation of temperature and pressure dependent chemical properties (both thermodynamic and transport), the calculation of the same for chemical mixtures (including phase equilibria), and assorted information of a regulatory or legal nature about chemicals.		* [https://github.com/CalebBell/thermo#thermo Thermo] facilitates the retrieval of constants of chemicals, the calculation of temperature and pressure dependent chemical properties (both thermodynamic and transport), the calculation of the same for chemical mixtures (including phase equilibria), and assorted information of a regulatory or legal nature about chemicals.
	* [https://github.com/CalebBell/fluids#fluids Fluids] is open-source software for engineers and technicians working in the fields of chemical, mechanical, or civil engineering. It includes modules for piping, fittings, pumps, tanks, compressible flow, open-channel flow, and more.		* [https://github.com/CalebBell/fluids#fluids Fluids] is open-source software for engineers and technicians working in the fields of chemical, mechanical, or civil engineering. It includes modules for piping, fittings, pumps, tanks, compressible flow, open-channel flow, and more.
		+
		+	=== In teaching ===
		+	Basic Chem Eng Notebooks by Jeff Kantor by Notre Dame: [http://jckantor.github.io/CBE20255/ Here]

@@ Line 9: / Line 9: @@
 ==== Python 2 vs Python 3 ====
-Python 3 came out in 2008. You should not use it.
+Python 3 came out in 2008. Python 2 will have no support past 2020. Use the new one (Python 3), not the old one.
 === Scientific computing ===

@@ Line 1: / Line 1: @@
 == Python ==
 Python is a popular scripting language. It is on the top 5 of the [http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html TIOBE index], and is very popular in scientific computing, in some fields more popular than commercial platforms like Matlab or Mathematica.
 === Installation ===
 * The MPR module uses [https://www.continuum.io/downloads Anaconda]. This is a distribution which supplies a full scientific programming environment. There is a local mirror of that [http://ftp.ee.up.ac.za/pub/windows/python/ here]. Use Anaconda3.
 ==== Python 2 vs Python 3 ====

@@ Line 8: / Line 8: @@
 * The MPR module uses [https://www.continuum.io/downloads Anaconda]. This is a distribution which supplies a full scientific programming environment. There is a local mirror of that [http://ftp.ee.up.ac.za/pub/windows/python/ here]. Use Anaconda3.
-=== Python 2 vs Python 3 ===
+==== Python 2 vs Python 3 ====
-Python 3 came out in 2008. The problem was that it was not backwards compatible with all Python 2 programs. This delayed adoption, especially in the scientific community. There is probably no reason to use Python 2 any more.
+Python 3 came out in 2008. You should not use it.
 === Scientific computing ===
@@ Line 32: / Line 32: @@
 The department also maintains a small [https://github.com/alchemyst/chemengcookbook cookbook notebook].
 === Symbolic computing ===
 The [http://www.sympy.org sympy module] is a very capable symbolic module for Python. It plays well with the [http://ipython.org/notebook.html IPython notebook]

@@ Line 1: / Line 1: @@
 == Python ==
-Python is a popular scripting language. It is on the top 10 of the [http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html TIOBE index], and is often used in scientific programming outside of the major commercial platforms like Matlab or Mathematica.
+Python is a popular scripting language. It is on the top 5 of the [http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html TIOBE index], and is very popular in scientific computing, in some fields more popular than commercial platforms like Matlab or Mathematica.
-* Check out the [http://www.python.org Python website] for more information
+* Check out the [http://www.python.org Python website] for more information about Python itself, but don't download Python from that website!
 === Installation ===
-* Windows: The MPR module uses [http://ftp.ee.up.ac.za/pub/windows/python/Python(x,y)-2.7.10.0.exe Python(x,y)]. This is a distribution which supplies a full scientific programming environment. If that local link does not work, look for a Python(x,y) executable installer [http://ftp.ee.up.ac.za/pub/windows/python/ here] or download directly from the [http://python-xy.github.io/ Python(x,y) website]. Note that the [http://continuum.io/downloads Anaconda] distribution is probably a lot better. There is a local mirror of that [http://ftp.ee.up.ac.za/pub/windows/python/ here]. Use Anaconda3.
+* The MPR module uses [https://www.continuum.io/downloads Anaconda]. This is a distribution which supplies a full scientific programming environment. There is a local mirror of that [http://ftp.ee.up.ac.za/pub/windows/python/ here]. Use Anaconda3.
-* Linux: Install python along with Matplotlib and Numpy/Scipy
-* Mac: Use [http://continuum.io/downloads Anaconda].
 === Python 2 vs Python 3 ===
 Python 3 came out in 2008. The problem was that it was not backwards compatible with all Python 2 programs. This delayed adoption, especially in the scientific community. There is probably no reason to use Python 2 any more.

@@ Line 18: / Line 18: @@
 is a handy starting point for someone used to Matlab/Octave to get into
 NumpPy/Scipy.
 Plotting is done using the [http://matplotlib.sourceforge.net/ matplotlib] library. The website contains
@@ Line 28: / Line 31: @@
 * [http://www.scipy.org/Cookbook/FittingData Fitting data]
 * [http://www.scipy.org/Cookbook/LoktaVolterraTutorial Numerical integration of ODEs]
 === Thermo-Physical Properties of Materials ===

← Older revision		Revision as of 08:21, 20 April 2015
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	* [http://www.scipy.org/Cookbook/FittingData Fitting data]		* [http://www.scipy.org/Cookbook/FittingData Fitting data]
	* [http://www.scipy.org/Cookbook/LoktaVolterraTutorial Numerical integration of ODEs]		* [http://www.scipy.org/Cookbook/LoktaVolterraTutorial Numerical integration of ODEs]
		+
		+
		+	=== Symbolic computing ===
		+
		+	The [http://www.sympy.org sympy module] is a very capable symbolic module for Python. It plays well with the [http://ipython.org/notebook.html IPython notebook]