Main

Introduction to Python for Engineers

Main.PythonIntroduction History

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Changed lines 102-120 from:
 R = 0.0821  # L-atm/K
 T = 500    # K
 V = 5      # L/mol
 Pc = 37.2  # atm
 Tc = 132.5  # K

 a = 0.427 * pow(R,2) * pow(Tc,2.5) / Pc
 b = 0.0866 * R * Tc / Pc

 # Compute in atm
 P_ig = R * T / V
 P_rk = R * T / (V-b) - a/(V*(V+b)*pow(T,0.5))

 # Convert to Pascals
 P_ig = P_ig * 101325
 P_rk = P_rk * 101325

 print("The ideal gas pressure: " + str(P_ig) + " Pa")
 print("The Redlich-Kwong pressure: " + str(P_rk) + " Pa")
to:
(:source lang=python:)
R =
0.0821  # L-atm/K
T = 500    # K
V = 5      # L/mol
Pc = 37.2  # atm
Tc = 132.5  # K

a = 0.427 * pow(R,2) * pow(Tc,2.5) / Pc
b = 0.0866 * R * Tc / Pc

# Compute in atm
P_ig = R * T / V
P_rk = R * T / (V-b) - a/(V*(V+b)*pow(T,0.5))

# Convert to Pascals
P_ig = P_ig * 101325
P_rk = P_rk * 101325

print("The ideal gas pressure: " + str(P_ig) + " Pa")
print("The Redlich-Kwong pressure: " + str(P_rk) + " Pa")
(:sourceend:
)
Changed lines 39-40 from:
!!!! Manage Python Packages
to:
!!!! Install Packages with '''pip''' (Command Line)

Sometimes a script uses a package that is not yet installed. Once Python is installed, a package manager such as ''pip'' or ''conda'' can be used to install, remove, or update packages.

Changed lines 47-53 from:
!!!! "Hello, World!" Tutorial

The following tutorial is a "Hello, World!" (introductory) example of writing a simple Python script, running the script in debug mode, and basic programming constructs.

(:html:)
<iframe width="560" height="315" src="//www.youtube.com/embed/lnNqRCXZ2cw?rel=0" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
to:
Below is an example on how to install [[http://apmonitor.com/wiki/index.php/Main/PythonApp|APMonitor Optimization Suite]] from the command line (start ''cmd'').

 pip install APMonitor

The ''APMonitor'' package name can be replaced with any available package name such as [[http://www.numpy.org|NumPy]].

 pip install numpy

!!!! Install Packages with '''pip''' (Python Script)

Packages can also be managed from a Python script by attempting to load the package with ''try''. If the import fails, the ''except'' section imports ''pip'' and installs the package.

'''Load and Optionally Install APMonitor Package'''

(:source lang=python:)
try:
  from APMonitor.apm import *
except:
  import pip
  pip.main(['install','APMonitor'])
  from APMonitor.apm import *
(:sourceend:)

'''Load and Optionally Install NumPy Package'''

(:source lang=python:)
try:
  import numpy as np
except:
  import pip
  pip.main(['install','numpy'])
  import numpy as np
(:sourceend:)

The ''APMonitor'' or ''NumPy'' package names can be replaced with any available package. The pip package manager connects to an online repository to retrieve the latest version of the package and install it. Sometimes a package is needed on a computer that isn't connected to the internet or the package isn't available through pip. Below is information on installing a package wheel (''whl'') file.

!!!! Install Package Wheels (whl) Offline

The pip package manager can also be used to install local (previously downloaded) wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for NumPy version 1.13.1 and SciPy version 0.19.1 for Python 3.6 with 64-bit Python.

 pip install numpy-1.13.1+mkl-cp36-cp36m-win_amd64.whl
 pip install scipy-0.19.1-cp36-cp36m-win_amd64.whl

Use [[http://www.lfd.uci.edu/~gohlke/pythonlibs/|Christoph Gohlke's whl files]] for Windows installations. Many of the packages depend on the [[https://www.microsoft.com/en-us/download/details.aspx?id=53587|Visual C++ 2015 Redistributable]] (x64 and x86 for CPython 3.5 and 3.6) that is available from Microsoft. After installing the Visual C++ redistributable, download and install [[http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy|NumPy]] and [[http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|SciPy]] packages (in that order) for Python 3.6 on Windows. The downloaded wheel file names should not be changed because the wheel file name verifies compatibility with the current Python version.
Changed lines 17-18 from:
!!!! Option #1: Install Python
to:
!!!! Option #1: Install Python from Python.org
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<iframe width="560" height="315" src="https://www.youtube.com/embed/7HVOP-VfU0M" frameborder="0" allowfullscreen></iframe>
to:
<iframe width="560" height="315" src="https://www.youtube.com/embed/Ju6zw83PoKo" frameborder="0" allowfullscreen></iframe>
Changed lines 23-24 from:
The following instructions are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order with the utility PIP or by downloading the installer package from the appropriate web-site.
to:
The instructions are for the Windows OS but Python can be installed on most operating systems. The Python base program should be installed first and then the other packages can be installed in any order with the utility PIP or by downloading the installer package from the appropriate web-site.

!!!! Option #2: Install Anaconda

Anaconda includes the Jupyter Notebook and the Spyder IDE. Anaconda is [[https://www.continuum.io/downloads|available for download here]]
.
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<iframe width="560" height="315" src="https://www.youtube.com/embed/FKwicZF7xNE" frameborder="0" allowfullscreen></iframe>
to:
<iframe width="560" height="315" src="https://www.youtube.com/embed/LrMOrMb8-3s" frameborder="0" allowfullscreen></iframe>
Deleted lines 32-39:
!!!! Option #2: Anaconda (includes most packages)

The iPython platform installation instructions are given [[https://www.continuum.io/downloads|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy.

(:html:)
<iframe width="420" height="315" src="https://www.youtube.com/embed/-llHYUMH9Dg" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

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There are several online platforms that allow Python through a web-browser including try.jupyter.org and repl.it. Join the ChE263 course exercises at:
to:
There are several online platforms that allow Python through a web-browser including try.jupyter.org and repl.it. An example of using repl.it is here:
Changed line 7 from:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]] and [[http://blog.codeeval.com/codeevalblog/2014|CodeEval]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility.
to:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]] and [[http://blog.codeeval.com/codeevalblog/2014|CodeEval]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 or Python 3.6+.
May 09, 2017, at 04:35 AM by 45.56.3.173 -
Added lines 36-41:

!!!! Option #3: Online Platforms

There are several online platforms that allow Python through a web-browser including try.jupyter.org and repl.it. Join the ChE263 course exercises at:

 https://repl.it/classroom/invite/FS5LV0W
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(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/LfodqSAgEqg" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
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!!!! Option #3: Anaconda (includes most packages)
to:
!!!! Option #2: Anaconda (includes most packages)
October 17, 2016, at 11:50 PM by 10.10.149.237 -
Added lines 31-36:
(:htmlend:)

!!!! Manage Python Packages

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/Z_Kxg-EYvxM" frameborder="0" allowfullscreen></iframe>
June 27, 2016, at 07:56 PM by 10.5.113.131 -
Deleted lines 24-27:
!!!! Option #2: Install Portable Python

Another option for installing Python is the [[http://portablepython.com/wiki/Download/|Portable Python]] package. This can be installed on a Flash USB drive and run directly from the external drive.

Changed lines 27-31 from:
The iPython platform installation instructions are given [[https://www.continuum.io/downloads|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:

  sudo easy_install -U Numpy

The module name of Numpy can be replaced by other modules such as Scipy, Matplotlib, and others if not included by default.
to:
The iPython platform installation instructions are given [[https://www.continuum.io/downloads|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy.

(:html:)
<iframe width="420" height="315" src="https://www.youtube.com/embed/-llHYUMH9Dg" frameborder="0" allowfullscreen></iframe>
(
:htmlend:)
June 09, 2016, at 04:33 PM by 10.10.149.138 -
Changed line 11 from:
[[https://docs.google.com/document/d/1zog9YSX-HTwmwDd3dN-yXUDePFXU0GaJWKTZsA6U5lg/edit | Python Resources]]
to:
* [[https://docs.google.com/document/d/1zog9YSX-HTwmwDd3dN-yXUDePFXU0GaJWKTZsA6U5lg/edit | List of Python Resources]]
June 09, 2016, at 04:32 PM by 10.10.149.138 -
Added lines 10-11:

[[https://docs.google.com/document/d/1zog9YSX-HTwmwDd3dN-yXUDePFXU0GaJWKTZsA6U5lg/edit | Python Resources]]
November 05, 2015, at 06:37 PM by 10.10.145.181 -
Changed lines 17-27 from:
The following are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order.

* Download and Install [[Attach:python
-2.7.6.msi|python-2.7.6.msi]]
* Download and Install [[Attach
:numpy-1.8.1.exe|numpy-1.8.1.exe]]
* Download and Install [[Attach
:matplotlib-1.3.1.exe|matplotlib-1.3.1.exe]]
* Download and Install [[Attach
:scipy-0.13.3.exe|scipy-0.13.3.exe]]
* Download and Install [[Attach:pyparsing-2.0.2.exe|pyparsing-2.0.2.exe]]
* Download and Install [[Attach:pyserial-2.7.exe|pyserial-2.7.exe]]
* Download, Extract, and Copy dateutil folder to "C:\Python27\Lib\"
** [[Attach:dateutil.zip|Download dateutil.zip]]

to:
The following instructions are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order with the utility PIP or by downloading the installer package from the appropriate web-site.

(:html:)
<iframe width="560" height="315" src="https
://www.youtube.com/embed/FKwicZF7xNE" frameborder="0" allowfullscreen></iframe>
(
:htmlend:)
Changed lines 27-29 from:
!!!! Option #3: Other Platform Options

The
iPython platform installation instructions are given [[http://ipython.org/install.html|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:
to:
!!!! Option #3: Anaconda (includes most packages)

The
iPython platform installation instructions are given [[https://www.continuum.io/downloads|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:
Changed lines 11-12 from:
!!!! Option #1: Install Individual Packages
to:
!!!! Option #1: Install Python

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/7HVOP-VfU0M" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

Deleted lines 76-81:

!!!! Introduction to Python and iPython

(:html:)
<iframe width="420" height="315" src="https://www.youtube.com/embed/hDmfZCVgShc" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
Changed line 1 from:
(:title Introduction to Python for Engineers and Scientists:)
to:
(:title Introduction to Python for Engineers:)
Changed lines 46-47 from:
!!!! Introduction to Python and iPython
to:
!!!! Non-Ideal Gas Equation
Added lines 51-74:

!!!! Source Code

 R = 0.0821  # L-atm/K
 T = 500    # K
 V = 5      # L/mol
 Pc = 37.2  # atm
 Tc = 132.5  # K

 a = 0.427 * pow(R,2) * pow(Tc,2.5) / Pc
 b = 0.0866 * R * Tc / Pc

 # Compute in atm
 P_ig = R * T / V
 P_rk = R * T / (V-b) - a/(V*(V+b)*pow(T,0.5))

 # Convert to Pascals
 P_ig = P_ig * 101325
 P_rk = P_rk * 101325

 print("The ideal gas pressure: " + str(P_ig) + " Pa")
 print("The Redlich-Kwong pressure: " + str(P_rk) + " Pa")

!!!! Introduction to Python and iPython
Added lines 47-50:

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/p2Dyx9DyQWw" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
Changed line 30 from:
Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:
to:
The iPython platform installation instructions are given [[http://ipython.org/install.html|here]]. Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:
Added lines 45-50:

!!!! Introduction to Python and iPython

(:html:)
<iframe width="420" height="315" src="https://www.youtube.com/embed/hDmfZCVgShc" frameborder="0" allowfullscreen></iframe>
(:htmlend:)
August 25, 2014, at 05:39 PM by 10.5.113.134 -
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* Download and Install [[Attach:pyserial-2.7.exe|pyserial-2.7.exe]]
May 20, 2014, at 04:05 PM by 10.8.116.165 -
Added lines 8-9:

There are several resources for learning Python online. For a good start, look at [[http://www.codecademy.com/tracks/python|Code Academy (Python track)]] or view the documentation at [[https://www.python.org/|Python.org]]. For users with a foundation in MATLAB, there are excellent resources that demonstrate [[http://wiki.scipy.org/NumPy_for_Matlab_Users|equivalent Python (Numpy) commands]].
May 15, 2014, at 08:58 PM by 10.5.113.178 -
Changed line 7 from:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility.
to:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]] and [[http://blog.codeeval.com/codeevalblog/2014|CodeEval]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility.
May 13, 2014, at 07:55 PM by 10.5.113.178 -
Changed lines 18-19 from:
* Download, Extract, and Copy to "C:\Python27\Lib\"
** [[Attach:dateutil.zip|Dateutil.zip]]
to:
* Download, Extract, and Copy dateutil folder to "C:\Python27\Lib\"
** [[Attach:dateutil.zip|Download dateutil.zip]]
May 13, 2014, at 07:54 PM by 10.5.113.178 -
Changed lines 9-10 from:
!!!! Install Individual Packages
to:
!!!! Option #1: Install Individual Packages
Changed lines 21-22 from:
!!!! Install Portable Python
to:
!!!! Option #2: Install Portable Python
Added lines 25-32:
!!!! Option #3: Other Platform Options

Some platforms like MacOS typically include Python pre-installed but may be missing some of the packages such as Numpy. One method to include packages such as Numpy is to use the easy_install utility such as:

  sudo easy_install -U Numpy

The module name of Numpy can be replaced by other modules such as Scipy, Matplotlib, and others if not included by default.

Added line 34:
May 13, 2014, at 07:48 PM by 10.5.113.178 -
Changed lines 7-8 from:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility. The following are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order.
to:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility.

!!!! Install Individual Packages

The following are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order.
Added lines 21-25:
!!!! Install Portable Python

Another option for installing Python is the [[http://portablepython.com/wiki/Download/|Portable Python]] package. This can be installed on a Flash USB drive and run directly from the external drive.

!!!! "Hello, World!" Tutorial
May 13, 2014, at 04:33 PM by 10.8.116.165 -
Changed line 14 from:
* Download, Extract, and Copy to C:\Python27\Lib\
to:
* Download, Extract, and Copy to "C:\Python27\Lib\"
May 13, 2014, at 04:32 PM by 10.8.116.165 -
Added lines 14-15:
* Download, Extract, and Copy to C:\Python27\Lib\
** [[Attach:dateutil.zip|Dateutil.zip]]
May 03, 2014, at 08:58 PM by 23.255.240.62 -
Changed line 7 from:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages. The following are for the Windows OS:
to:
Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages although the newer 3.x versions are making progress with compatibility. The following are for the Windows OS. The Python base program should be installed first and then the other packages can be installed in any order.
May 03, 2014, at 08:51 PM by 23.255.240.62 -
Added lines 6-15:

Python is a high-level and general-purpose programming language. According to the [[http://www.tiobe.com/index.php/content/paperinfo/tpci/index.html | TIOBE index]], it is one of most popular programming languages. Part of the reason that it is a popular choice for scientists and engineers is the language versatility, online community of users, and powerful analysis packages such as Numpy and Scipy. This course uses Python 2.7 because of compatibility with the scientific computing packages. The following are for the Windows OS:

* Download and Install [[Attach:python-2.7.6.msi|python-2.7.6.msi]]
* Download and Install [[Attach:numpy-1.8.1.exe|numpy-1.8.1.exe]]
* Download and Install [[Attach:matplotlib-1.3.1.exe|matplotlib-1.3.1.exe]]
* Download and Install [[Attach:scipy-0.13.3.exe|scipy-0.13.3.exe]]
* Download and Install [[Attach:pyparsing-2.0.2.exe|pyparsing-2.0.2.exe]]

The following tutorial is a "Hello, World!" (introductory) example of writing a simple Python script, running the script in debug mode, and basic programming constructs.
April 30, 2014, at 02:04 PM by 174.148.73.110 -
Added lines 1-30:
(:title Introduction to Python for Engineers and Scientists:)
(:keywords tutorial, introduction, Python, university course:)
(:description Introduction to Python - Problem-Solving Techniques for Chemical Engineers at Brigham Young University:)

!!!!Python Introduction

(:html:)
<iframe width="560" height="315" src="//www.youtube.com/embed/lnNqRCXZ2cw?rel=0" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

This same tutorial is also show in a [[Main/MatlabIntroduction|MATLAB]] introduction.

----

(:html:)
 <div id="disqus_thread"></div>
    <script type="text/javascript">
        /* * * CONFIGURATION VARIABLES: EDIT BEFORE PASTING INTO YOUR WEBPAGE * * */
        var disqus_shortname = 'apmonitor'; // required: replace example with your forum shortname

        /* * * DON'T EDIT BELOW THIS LINE * * */
        (function() {
            var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
            dsq.src = 'http://' + disqus_shortname + '.disqus.com/embed.js';
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    <a href="http://disqus.com" class="dsq-brlink">comments powered by <span class="logo-disqus">Disqus</span></a>
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