Install Python
Main.InstallPython History
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Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Anaconda and Python.org.
!!!! Install Anaconda
to:
Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide.
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Install
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Install
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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/" frameborder="0" allowfullscreen></iframe>
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!!!! Install Python from Python.org
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!!!! Install Python
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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/" frameborder="0" allow="a; -" allowfullscreen></iframe>
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!!!! Install Jupyter Lab, Notebook, VSCode
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!!!! Install
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<iframe width="560" height="315" src="https://www.youtube.com/embed/eUq-6ZuwC_A" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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<iframe width="560" height="315" src="https://www.youtube.com/embed/eUq-6ZuwC_A" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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!!!! 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.
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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!!!! Install Packages
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.
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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!!!! Install Anaconda (recommended)
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!!!! Install Anaconda
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Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Anaconda and Python.org.
to:
Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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.+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Anaconda and Python.org.
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Below is an example on how to install [[https://apmonitor.com/wiki/index.php/Main/PythonApp|APMonitor Optimization Suite]] from the command line (start ''cmd'').
pip installAPMonitor
The ''APMonitor'' package name can be replaced with any available package name such as [[https://www.numpy.org|NumPy]].
pip install
The ''
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Below is an example on how to install [[https://.///|Optimization Suite]] from the command line (start ''cmd'').
pip install
The '''' package name can be replaced with any available package name such as [[https://www.numpy.org|NumPy]].
pip install
The '''' package name can be replaced with any available package name such as [[https://www.numpy.org|NumPy]].
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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/" frameborder="0" allowfullscreen></iframe>
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'''Load and Optionally Install APMonitor Package'''
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'''Load and Optionally Install '''
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from APMonitor.apm import *
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from import
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pip.
(['install',])
(['install',])
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'''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.
to:
''''. 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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!!!! Install Python 3.6 from Python.org
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!!!! Install Python from Python.org
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Packages can also be managed from a Python script by attempting to load the package with ''try''. If the import fails, the ''except'' section is run to import ''pip'' and install the package.
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Packages can also be managed from a Python script by attempting to load the package with ''try''. If the import fails, the ''except'' section i''pip'' and installthe package.
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Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Python.org and Aanaconda.
to:
Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Python.org
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Below is an example on how to install ''APMonitor'' from the command line (start ''cmd'').
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Below is an example on how to install from the command line (start ''cmd'').
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The ''APMonitor'' package name can be replaced with any available package name such as ''numpy''.
to:
The ''APMonitor'' package name can be replaced with any available package name such as numpy.
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Use [[https://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]] (x64 and x86 for CPython 3.5 and 3.6) that is available from Microsoft. After installing the Visual C++ redistributable, download and install [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy|NumPy]] and [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|SciPy]] packages 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.
to:
Use [[https://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 ]] (x64 and x86 for CPython 3.5 and 3.6) that is available from Microsoft. After installing the Visual C++ redistributable, download and install [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy|NumPy]] and [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|SciPy]] packages 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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Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|Christoph Gohlke's whl files]] for NumPy and SciPy packages 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.
to:
Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/|Christoph Gohlke's whl files]] for packages 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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pip install numpy‑1.13.1+mkl-cp36-cp36m-win_amd64.whl
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pip install numpy.13.1+mkl-cp36-cp36m-win_amd64.whl
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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 SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
pip installscipy‑0.19.1‑cp36‑cp36m‑win_amd64.whl
pip install
to:
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 version .1.1 .6 with 64-bit Python.
pip install .1.1
_amd64.whl
pip install .1.1
_amd64.whl
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!!!! Install Package Wheels (whl)
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
to:
!!!! Install Package Wheels (whl)
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
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Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|Christoph Gohlke's whl files]] for NumPy and SciPy packages for Windows. The downloaded wheel file names should not be changed because the wheel file name verifies compatibility with the current Python version.
to:
Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|Christoph Gohlke's whl files]] for NumPy and SciPy packages for Windows. The downloaded wheel file names should not be changed because the wheel file name verifies compatibility with the current Python version.
Changed lines 53-54 from:
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python. Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|Christoph Gohlke's whl files]] for NumPy and SciPy packages for Windows.
to:
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
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The downloaded wheel file names should not be changed because the wheel file name verifies compatibility with the current Python version.
to:
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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!!!! Install Packages with '''pip'''
to:
!!!! Install Packages with '''pip'''
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Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Python.org and Aanaconda. Use [[https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy|Christoph Gohlke's whl files]] for the most up-to-date NumPy and SciPy packages for Windows.
to:
Python is a high-level and general-purpose programming language and is a [[https://www.google.com/search?q=popular+programming+languages|top choice for programmers (Google search)]]. 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+. Python is free and open-source and is easy to install with [[https://www.continuum.io/downloads|Anaconda (IPython, Jupyter, Spyder)]], [[https://www.jetbrains.com/pycharm/download/|PyCharm]], or the [[https://www.python.org/downloads/|Python.org]] distributions. Below is a tutorial on getting started with Python with a complete installation guide for Python.org and Aanaconda.
'
'
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The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.
to:
The pip package manager can also be used to install local wheel (''.whl'') files but dependencies may not be automatically installed if not connected to the internet. Below is an example wheel file installation for SciPy version 0.19.1 for Python 3.6 with a 64-bit version of Python.