Introduction to Python for Engineers

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May 11, 2021, at 04:48 PM by 10.37.23.192 -
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Python is a high-level and general-purpose programming language. According to several survey results or search engine queries such as the 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 the latest release of Python that is currently at version 3.7.

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

There are several resources for learning Python online. For a good start, look at Code Academy (Python track) or view the documentation at Python.org. For users with a foundation in MATLAB, there are excellent resources that demonstrate equivalent Python (Numpy) commands.

to:

Python is a high-level and general-purpose programming language. According to several survey results or search engine queries such as the 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 the latest release of Python that is currently at version 3.9.

There are several resources for learning Python online. For a good start, look at Code Academy (Python track) or view the documentation at Python.org. For users with a foundation in MATLAB, there are excellent resources that demonstrate equivalent Python (Numpy) commands.

May 11, 2021, at 04:45 PM by 10.37.23.192 -
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Option #1: Install Python from Python.org

to:

Install Python on Windows

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<iframe width="560" height="315" src="https://www.youtube.com/embed/bXWlyOMYpRE" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

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<iframe width="560" height="315" src="https://www.youtube.com/embed/_BHsM452vK0" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

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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 available for download here.

to:

Install Python on MacOS

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<iframe width="560" height="315" src="https://www.youtube.com/embed/LrMOrMb8-3s" frameborder="0" allowfullscreen></iframe>

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<iframe width="560" height="315" src="https://www.youtube.com/embed/2VECcPofhP8" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

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Option #3: Online Platforms

to:

Install Python on Linux

(:html:) <iframe width="560" height="315" src="https://www.youtube.com/embed/eUq-6ZuwC_A" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> (:htmlend:)

Online Platforms

May 11, 2021, at 04:43 PM by 10.37.23.192 -
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Anaconda includes the Jupyter Notebook and the Spyder IDE. Anaconda is available for download here.

to:

Anaconda includes the Jupyter Notebook and the Spyder IDE. Anaconda is available for download here.

June 21, 2020, at 04:15 AM by 136.36.211.159 -
Deleted lines 118-136:

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May 08, 2019, at 09:56 PM by 10.37.92.231 -
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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:

 https://repl.it/classroom/invite/FS5LV0W
to:

There are several online platforms that allow Python through a web-browser including Try Jupyter and Google Colab.

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Python Introduction

Python is a high-level and general-purpose programming language. According to the TIOBE index and 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 3.7.

to:

Python is a high-level and general-purpose programming language. According to several survey results or search engine queries such as the 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 the latest release of Python that is currently at version 3.7.

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Python is a high-level and general-purpose programming language. According to the TIOBE index and 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+.

to:

Python is a high-level and general-purpose programming language. According to the TIOBE index and 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 3.7.

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Below is an example on how to install 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 NumPy.

to:

Below is an example on how to install GEKKO Optimization Suite from the command line (start cmd).

 pip install gekko

The GEKKO package name can be replaced with any available package name such as NumPy.

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Load and Optionally Install APMonitor Package

to:

Load and Optionally Install GEKKO Package

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module='gekko'

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   from APMonitor.apm import *
to:
    from pip import main as pipmain
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   import pip
   pip.main(['install','APMonitor'])
   from APMonitor.apm import *
to:
    from pip._internal import main as pipmain

pipmain(['install',module])

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module='numpy'

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   import numpy as np
to:
    from pip import main as pipmain
Changed lines 77-79 from:
   import pip
   pip.main(['install','numpy'])
   import numpy as np
to:
    from pip._internal import main as pipmain

pipmain(['install',module])

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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.

to:

The GEKKO 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.

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<iframe width="560" height="315" src="https://www.youtube.com/embed/Ju6zw83PoKo" frameborder="0" allowfullscreen></iframe>

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<iframe width="560" height="315" src="https://www.youtube.com/embed/bXWlyOMYpRE" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>

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 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

  1. Compute in atm

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

  1. 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:)

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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.

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"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 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 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 Christoph Gohlke's whl files for Windows installations. Many of the packages depend on the 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 NumPy and 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.

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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>

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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 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>

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Option #2: Anaconda (includes most packages)

The iPython platform installation instructions are given 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:

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Python is a high-level and general-purpose programming language. According to the TIOBE index and 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 TIOBE index and 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 -
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(: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 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 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 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 -
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Python Resources

to:
  • List of Python Resources
June 09, 2016, at 04:32 PM by 10.10.149.138 -
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Python Resources

November 05, 2015, at 06:37 PM by 10.10.145.181 -
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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:

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:)

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Option #3: Other Platform Options

The iPython platform installation instructions are given 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 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:

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Option #1: Install Individual Packages

to:

Option #1: Install Python

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Introduction to Python and iPython

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(:title Introduction to Python for Engineers and Scientists:)

to:

(:title Introduction to Python for Engineers:)

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Introduction to Python and iPython

to:

Non-Ideal Gas Equation

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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

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(:html:) <iframe width="560" height="315" src="https://www.youtube.com/embed/p2Dyx9DyQWw" frameborder="0" allowfullscreen></iframe> (:htmlend:)

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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 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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May 20, 2014, at 04:05 PM by 10.8.116.165 -
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There are several resources for learning Python online. For a good start, look at Code Academy (Python track) or view the documentation at Python.org. For users with a foundation in MATLAB, there are excellent resources that demonstrate 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 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 TIOBE index and 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 -
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  • Download, Extract, and Copy to "C:\Python27\Lib\"
to:
May 13, 2014, at 07:54 PM by 10.5.113.178 -
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Install Individual Packages

to:

Option #1: Install Individual Packages

Changed lines 21-22 from:

Install Portable Python

to:

Option #2: Install Portable Python

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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 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 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 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** 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 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 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 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:

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 -
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(: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

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This same tutorial is also show in a MATLAB introduction.


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