Introduction to Python for Engineers

March 06, 2024, at 06:13 PM by 10.35.117.248 -

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        title='Programing Language Popularity',

to:

        title='Programming Language Popularity',

February 22, 2024, at 05:13 PM by 10.35.117.248 -

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Data File (CSV Format)

to:

Data File (CSV Format) from Kaggle

February 22, 2024, at 05:10 PM by 10.35.117.248 -

Deleted lines 154-157:

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.

This same tutorial is also show in a MATLAB introduction.

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This same tutorial is also show in a MATLAB introduction.

February 22, 2024, at 05:08 PM by 10.35.117.248 -

Changed lines 5-76 from:

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.

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.

Data File (CSV Format)

(:toggle hide bar_chart button show="Show Bar Chart Source":) (:div id=bar_chart:) (:source lang=python:) import pandas as pd import numpy as np import matplotlib.pyplot as plt import plotly.express as px import seaborn as sns import plotly.express as px import plotly.graph_objects as go import datetime as datetime from datetime import timedelta from plotly.subplots import make_subplots

pip install bar_chart_race

import bar_chart_race as bcr

url = 'http://apmonitor.com/che263/uploads/Main/' data = pd.read_csv(url+'programming_languages.csv') data['Date'] = pd.to_datetime(data['Date']).dt.strftime('m')

df=data.copy() df.index=df['Date'].tolist() df=df.drop('Date',axis=1)

def make_bcr(df):

    bcr.bar_chart_race(
        df=df,
        filename='programming_languages.mp4',
        orientation='h',
        sort='desc',
        n_bars=20,
        fixed_order=False,
        fixed_max=False,
        steps_per_period=6,#speed control
        interpolate_period=False,
        label_bars=True,
        bar_size=.95,
        period_label={'x': .99, 'y': .25, 'ha': 'right', 'va': 'center'},
        #period_fmt='d, %Y',
        period_summary_func=lambda v, r: {'x': .99, 'y': .18,'s': '',
                                          'ha': 'right', 'size': 8,
                                          'family': 'Courier New'},
        period_length=400,
        figsize=(5,3),
        dpi=500,
        cmap='dark24',
        title='Programing Language Popularity',
        title_size=10,
        bar_label_size=7,
        tick_label_size=5,
        shared_fontdict={'color' : '.1'},
        scale='linear',
        writer=None,
        fig=None,
        bar_kwargs={'alpha': .7},
        filter_column_colors=True)

make_bcr(df) (:sourceend:) (:divend:)

(:html:) <video width="550" controls autoplay muted>

  <source src="/che263/uploads/Main/programming_languages.mp4" type="video/mp4">
  Your browser does not support the video tag.

</video> (:htmlend:)

May 16, 2023, at 03:25 PM by 10.37.231.125 -

January 25, 2022, at 02:48 AM by 10.35.117.248 -

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to:

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to:

May 11, 2021, at 04:48 PM by 10.37.23.192 -

Changed lines 5-11 from:

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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to:

Changed lines 21-26 from:

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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to:

Changed lines 27-33 from:

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:

(: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 = 'https://' + disqus_shortname + '.disqus.com/embed.js';
            (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
        })();
    </script>
    <noscript>Please enable JavaScript to view the <a href="https://disqus.com/?ref_noscript">comments powered by Disqus.</a></noscript>
    <a href="https://disqus.com" class="dsq-brlink">comments powered by <span class="logo-disqus">Disqus</span></a>

(:htmlend:)

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.

November 14, 2018, at 01:20 PM by 45.56.3.173 -

Changed lines 5-7 from:

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.

November 14, 2018, at 01:12 PM by 45.56.3.173 -

Changed line 7 from:

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.

November 14, 2018, at 01:11 PM by 45.56.3.173 -

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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.

Changed lines 59-60 from:

Load and Optionally Install APMonitor Package

to:

Load and Optionally Install GEKKO Package

Added line 62:

module='gekko'

Changed line 64 from:

   from APMonitor.apm import *

to:

    from pip import main as pipmain

Changed lines 66-68 from:

   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'

Changed line 75 from:

   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])

Changed line 81 from:

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.

November 14, 2018, at 01:05 PM by 45.56.3.173 -

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to:

October 23, 2017, at 04:41 AM by 45.56.3.173 -

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:)

October 13, 2017, at 12:03 PM by 45.56.3.173 -

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 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.

October 13, 2017, at 11:59 AM by 45.56.3.173 -

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Option #1: Install Python

to:

Option #1: Install Python from Python.org

Changed line 20 from:

to:

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 available for download here.

Changed line 30 from:

to:

Deleted lines 32-39:

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:

August 12, 2017, at 03:28 PM by 45.56.3.173 -

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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 -

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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

February 23, 2017, at 01:37 PM by 45.56.3.173 -

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

January 03, 2017, at 06:30 AM by 45.56.3.173 -

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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 -

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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.

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

October 10, 2015, at 11:01 PM by 10.10.148.80 -

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:)

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Introduction to Python and iPython

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

October 06, 2015, at 04:35 AM by 45.56.3.184 -

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

to:

(:title Introduction to Python for Engineers:)

October 06, 2015, at 04:35 AM by 45.56.3.184 -

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

October 06, 2015, at 04:13 AM by 45.56.3.184 -

Added lines 47-50:

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

September 30, 2015, at 03:04 AM by 50.244.124.21 -

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 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:

September 29, 2015, at 03:16 AM by 50.244.124.21 -

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 pyserial-2.7.exe Δ

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 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 -

Changed lines 18-19 from:

Download, Extract, and Copy to "C:\Python27\Lib\"
- Dateutil.zip

to:

Download, Extract, and Copy dateutil folder to "C:\Python27\Lib\"
- 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 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.

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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 -

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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 -

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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 -

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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:

Download and Install python-2.7.6.msi Δ
Download and Install numpy-1.8.1.exe Δ
Download and Install matplotlib-1.3.1.exe Δ
Download and Install scipy-0.13.3.exe Δ
Download and Install pyparsing-2.0.2.exe Δ

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

(: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 MATLAB introduction.

(:html:)

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        /* * * DON'T EDIT BELOW THIS LINE * * */
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            var dsq = document.createElement('script'); dsq.type = 'text/javascript'; dsq.async = true;
            dsq.src = 'https://' + disqus_shortname + '.disqus.com/embed.js';
            (document.getElementsByTagName('head')[0] || document.getElementsByTagName('body')[0]).appendChild(dsq);
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(:htmlend:)

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