Very simple Python - Revision history

WikiSysop at 22:26, 7 July 2018

2018-07-07T22:26:23Z

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 [http://www.jedit.org/ http://www.jedit.org/] and follow their installation instructions.
-The IDE "idle" is also very nice to start with, and recommended.  It may be present after you install Python, so try the command "idle" in a terminal window and see what happens.  There are said to be problems with its use of the Tkl library and the Mac OSX installed libraries, but they should be solved in the most recent releases of Python and OSX supplied by Enthought or Anaconda.
+The integrated development environment (IDE)  "idle" is also very nice to start with, and recommended.  It may be present after you install Python, so try the command "idle" in a terminal window and see what happens.  There are said to be problems with its use of the Tkl library and the Mac OSX installed libraries, but they should be solved in the most recent releases of Python and OSX supplied by Enthought or Anaconda.
-Now widely used and with great potential, the Jupyter system has been under development for a decade and is mature.  You can read about it and even preview its capabilities on the web.  Keep in mind if you decide to start at that level, that the system is feature-filled, and that once you create content within the system it will require the system to use that content.  That is, unlike a simple Python program, the notebooks created by Jupyter are truly bodies of work that include data and analysis.  It can be very useful in a lab, for example.
+Now widely used and with great potential, the Jupyter system has been under development for a decade and is mature.  You can read about it and even preview its capabilities on the web.  Keep in mind if you decide to start at that level, that the system is feature-filled, and that once you create content within the system it will require the system to use that content.  That is, unlike a simple Python program, the notebooks created by Jupyter are truly bodies of work that include data and analysis.  It can be very useful in a lab, for example, and for data documentation and exchange.
 <center> [http://jupyter.org/ http://jupyter.org/] </center>

WikiSysop at 17:36, 14 April 2018

2018-04-14T17:36:49Z

← Older revision		Revision as of 17:36, 14 April 2018
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	Install ~~pyephem~~ (pip install ~~pyephem~~)		Install numpy (pip install numpy)

	Install healpy (pip install healpix)		Install scipy (pip install scipy)

			Install astropy (pip install astropy) for essential astronomy utilities

			Install scikit-image (pip install scikit-image) for image processing

			Install ginga (pip install ginga) for FITS viewer and core modules

			Install pyastronomy (pip install pyastronomy) or from source on github [https://github.com/sczesla/PyAstronomy pyastronomy]

			Install pyephem (pip install pyephem) for astronomical ephemerides

			Install healpy (pip install healpix) for astronomical image processing

	Install reproject (pip install reproject) for image reprojection when doing fits conversion		Install reproject (pip install reproject) for image reprojection when doing fits conversion
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	Install emcee (pip install emcee) to have an MCMC library		Install emcee (pip install emcee) to have an MCMC library
			.
	~~Install pyastronomy (pip install pyastronomy) or from source on github [https://github.com/sczesla/PyAstronomy pyastronomy]~~

	~~Install scikit-image (pip install scikit-image)~~.

	Lastly, install the software chain for data visualization with Python using pip rather than the system package because Pandas is developing rapidly		Lastly, install the software chain for data visualization with Python using pip rather than the system package because Pandas is developing rapidly

WikiSysop at 06:31, 10 April 2018

2018-04-10T06:31:04Z

← Older revision		Revision as of 06:31, 10 April 2018
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	'''AstroConda for Linux and Mac OSX'''		'''AstroConda for Linux and Mac OSX'''

	If you are primarily interested in using Python for astronomy and have a need for the tools of the Space Telescope Science Institute, consider ~~add~~ their ~~supporting~~ astronomical code to an Anaconda distribution. At this site		If you are primarily interested in using Python for astronomy and have a need for the tools of the Space Telescope Science Institute, consider adding their astronomical code to an Anaconda distribution. At this site

	lhttp://astroconda.readthedocs.io/en/latest/ AstroConda]		lhttp://astroconda.readthedocs.io/en/latest/ AstroConda]

WikiSysop at 06:29, 10 April 2018

2018-04-10T06:29:53Z

← Older revision		Revision as of 06:29, 10 April 2018
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	lhttp://astroconda.readthedocs.io/en/latest/ AstroConda]		lhttp://astroconda.readthedocs.io/en/latest/ AstroConda]

	there is a guide to installation and the documentation on its use. If you are unfamiliar with Python, take the time to go through our short course and try some examples first, and then return and fill in your system with AstroConda and you will be ready for analyzing data from MAST, HST and other sources.		there is a guide to installation and the documentation on its use. If you are unfamiliar with Python, take the time to go through our short course and try some examples first, and then return and fill in your system with AstroConda and you will be ready for analyzing data from MAST, HST and other sources. AstroConda is for Linux and OSX, but Microsoft Windows is not supported. If you have a Windows computer with a lot of memory and disk space, you could add a Linux virtual machine inside our Windows operating system, as a safe simple way to have Linux features available within your preferred OS. Virtualbox is free and installation from Oracle is only a click away:

			[https://www.virtualbox.org/ Oracle VirtuaBox]

			It delivers enough processing power of the host computer that for many applications it is as good as running a "real" machine, and it protects your own operating system while you experiment with new ones.

WikiSysop at 06:21, 10 April 2018

2018-04-10T06:21:56Z

← Older revision		Revision as of 06:21, 10 April 2018
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	Anaconda and Enthought distributions will have everything you need "out of the box."		Anaconda and Enthought distributions will have everything you need "out of the box."


			'''AstroConda for Linux and Mac OSX'''

			If you are primarily interested in using Python for astronomy and have a need for the tools of the Space Telescope Science Institute, consider add their supporting astronomical code to an Anaconda distribution. At this site

			lhttp://astroconda.readthedocs.io/en/latest/ AstroConda]

			there is a guide to installation and the documentation on its use. If you are unfamiliar with Python, take the time to go through our short course and try some examples first, and then return and fill in your system with AstroConda and you will be ready for analyzing data from MAST, HST and other sources.



	== IDE's and Editors and Python environments ==		== IDE's and Editors and Python environments ==

WikiSysop: /* Installing Python on your computer */

2018-03-16T06:20:07Z

Installing Python on your computer

← Older revision		Revision as of 06:20, 16 March 2018
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	# make altinstall		# make altinstall
	# ln -s /usr/local/lib64/python3.6/lib-dynload/ /usr/local/lib/python3.6/lib-dynload		# ln -s /usr/local/lib64/python3.6/lib-dynload/ /usr/local/lib/python3.6/lib-dynload


	The altinstall option is necessary to avoid overwriting or interfering with the system python. The softlink is needed because some llibrary files in lib64 are not found without it. It is not necessary to assign either PYTHONHOME or PYTHONPATH, or to use an environment manager to have this version work independently of the system version. However, be aware that the functions you need are explicity in /usr/local/bin and that they refer to python by its version, that is ''python3.6'' and ''pip3.6'' Therefore if you later update the OS and it also has these executables, there's a potential conflict that would be resolved by the search path and could be ambiguous.		The altinstall option is necessary to avoid overwriting or interfering with the system python. The softlink is needed because some llibrary files in lib64 are not found without it. It is not necessary to assign either PYTHONHOME or PYTHONPATH, or to use an environment manager to have this version work independently of the system version. However, be aware that the functions you need are explicity in /usr/local/bin and that they refer to python by its version, that is ''python3.6'' and ''pip3.6'' Therefore if you later update the OS and it also has these executables, there's a potential conflict that would be resolved by the search path and could be ambiguous.

WikiSysop: /* Installing Python on your computer */

2018-03-16T06:19:33Z

Installing Python on your computer

← Older revision		Revision as of 06:19, 16 March 2018
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	'''Linux with Python from its source'''		'''Linux with Python from its source'''

	This method is for those who are comfortable with system management and want to maintain full control over their Python and its packages. It also will minimalize the installation footprint on diskspace, while adding challenges of resolving conflicts between dependencies yourself.		This method is for those who are comfortable with system management and want to maintain full control over their Python and its packages. It enables you to have the very latest Python and It also will minimalize the installation footprint on diskspace, while adding challenges of resolving conflicts between dependencies yourself, and some potentially vexing issues with the operating system conflicts. It is my favorite method.



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	# ln -s /usr/local/lib64/python3.6/lib-dynload/ /usr/local/lib/python3.6/lib-dynload		# ln -s /usr/local/lib64/python3.6/lib-dynload/ /usr/local/lib/python3.6/lib-dynload

	The altinstall option is necessary to avoid overwriting or interfering with the system python. The softlink is needed because some llibrary files in lib64 are not found without it. It is not necessary to assign either PYTHONHOME or PYTHONPATH, or to use an environment manager to have this version work independently of the system version. However, be aware that the functions you need are explicity in /usr/local/bin and that they refer to python by its version, that is ''python3.6'' and ''pip3.6'' Therefore if you later update the OS ~~to Leap 15~~ and it also has these executables, there's a potential conflict that would be resolved by the search path and could be ambiguous.		The altinstall option is necessary to avoid overwriting or interfering with the system python. The softlink is needed because some llibrary files in lib64 are not found without it. It is not necessary to assign either PYTHONHOME or PYTHONPATH, or to use an environment manager to have this version work independently of the system version. However, be aware that the functions you need are explicity in /usr/local/bin and that they refer to python by its version, that is ''python3.6'' and ''pip3.6'' Therefore if you later update the OS and it also has these executables, there's a potential conflict that would be resolved by the search path and could be ambiguous.

	Similarly, if you install Anaconda Python, it will have its own /opt directory tree to navigate, while Canopy Python may use environment variables. To run your own locally built Python ''echo PYTHONHOME'' and ''echo PYTHONPATH'' should return empty strings.		Similarly, if you install Anaconda Python, it will have its own /opt directory tree to navigate, while Canopy Python may use environment variables. To run your own locally built Python ''echo PYTHONHOME'' and ''echo PYTHONPATH'' should return empty strings.

WikiSysop: /* Installing Python on your computer */

2018-03-16T06:16:33Z

Installing Python on your computer

← Older revision		Revision as of 06:16, 16 March 2018
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	Additional modules would have to be installed separately later if they are not part of the original installation. Python has its own ~~system~~ for adding features which makes that easy. The ones you will need for scientific programming are		Additional modules would have to be installed separately later if they are not part of the original installation. Python has its own ''pip'' (see above for Linux) for adding features which makes that easy. The ones you will need for scientific programming are

	* NumPy Test with "import numpy from within interactive Python or idle.		* NumPy Test with "import numpy from within interactive Python or idle.
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	and there are others, especially from [https://www.scipy.org/scikits.html Scikits]		and there are others, especially from [https://www.scipy.org/scikits.html Scikits]

			Anaconda and Enthought distributions will have everything you need "out of the box."

	== IDE's and Editors and Python environments ==		== IDE's and Editors and Python environments ==

WikiSysop: /* Installing Python on your computer */

2018-03-16T06:14:02Z

Installing Python on your computer

← Older revision		Revision as of 06:14, 16 March 2018
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	'''Linux with Python from its source''		'''Linux with Python from its source'''

	This method is for those who are comfortable with system management and want to maintain full control over their Python and its packages. It also will minimalize the installation footprint on diskspace, while adding challenges of resolving conflicts between dependencies yourself.		This method is for those who are comfortable with system management and want to maintain full control over their Python and its packages. It also will minimalize the installation footprint on diskspace, while adding challenges of resolving conflicts between dependencies yourself.
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	and there are others, especially from [https://www.scipy.org/scikits.html Scikits]		and there are others, especially from [https://www.scipy.org/scikits.html Scikits]


	== IDE's and Editors and Python environments ==		== IDE's and Editors and Python environments ==

WikiSysop at 06:13, 16 March 2018

2018-03-16T06:13:20Z

@@ Line 5: / Line 5: @@
 == Installing Python on your computer ==
-Python is open source software available for free from [http://www.python.org/ www.python.org]. Version 2.7 is the current mature version that is widely supported by other add-on modules.  Python 3 is more recent, largely compatible with 2.7, and  is now widely used and packages for specific disciplines.  New installations should favor Python 3, but there's not much loss of functionality with the older Python 2.7. We will use Python 3 for the examples, though some of the earlier files here may still require small changes to run under 3.
+Python is open source software available for free from [http://www.python.org/ www.python.org]. Version 2.7 is the aging mature version that is widely supported by other add-on modules.  Python 3 is more recent, largely compatible with 2.7, and  is now widely used with packages for specific disciplines.  New installations should be  Python 3, but there's not much loss of functionality with the older Python 2.7 if you already have it. We will use Python 3 for the examples, though some of the earlier files here may still require small changes to run under 3.
 '''Linux'''
-Python will already be installed on your computer.  Typically the operating system may use 2.7 for some of its core applications.  You may use your package manager to update and add to the base installations, but note the distinction between Python2 and Python3 which may co-exist.   You will need NumPy, SciPy, and the parts they depend on.  Also add "pip" if it is not installed, since that is the tool to allow you to add packages that may not be in your operating system's distribution.  It is useful to check that pip and python commands on your system are for the version of python you want to use.  Some systems have both.  Try
+Python will already be installed on your computer.  Typically the operating system may use 2.7 for some of its core applications, and provide a basic 3.4, 3.5 or 3.6 for newer work.   You may use your package manager to update and add to the base installations, but note the distinction between Python2 and Python3 which may co-exist.   Check that the pip you are using on the command line is the one to add to the version you want to use.  For example, look at
    ls -l /usr/bin/python*
@@ Line 19: / Line 19: @@
    /etc/alternatives/pip  -> /usr/bin/pip3.4
-to tell you how "pip" will run.   There may be conflicts with the operating system's requirements and what you would want for your work, but with care they can be managed and you will be in control of your own destiny.  If you prefer to let someone else drive, chose a Python distribution such as the popular [https://www.anaconda.com/distribution/ Anaconda].
+to tell you how "pip" will run.   There may be conflicts with the operating system's requirements and what you would want for your work, but with care they can be managed and you will be in control of your own destiny.  If you prefer to let someone else drive, chose a Python distribution such as the popular [https://www.anaconda.com/distribution/ Anaconda] and follow the directions on their website.  Keep in mind the potential conflicts with the already-installed python on your computer.