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SherpaBlog

Sunday, September 25, 2016. Sherpa 4.8.2 Release with Python 3.5 Beta. Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release). For Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7. Check our GitHub page:. Friday, June 5, 2015. A few IPython notebooks. Writing your own user model.

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SherpaBlog | pysherpa.blogspot.com Reviews
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Sunday, September 25, 2016. Sherpa 4.8.2 Release with Python 3.5 Beta. Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release). For Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7. Check our GitHub page:. Friday, June 5, 2015. A few IPython notebooks. Writing your own user model.
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1 sherpablog
2 https / github.com/sherpa/sherpa/
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4 aneta siemiginowska
5 no comments
6 a simple fit
7 doug burke
8 installing sherpa
9 and clone sherpa
10 git clone
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sherpablog,https / github.com/sherpa/sherpa/,posted by,aneta siemiginowska,no comments,a simple fit,doug burke,installing sherpa,and clone sherpa,git clone,cd sherpa,gfortran,installing,used,pip install pyfits,3 comments,github,sherpa documentation,page
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SherpaBlog | pysherpa.blogspot.com Reviews

https://pysherpa.blogspot.com

Sunday, September 25, 2016. Sherpa 4.8.2 Release with Python 3.5 Beta. Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release). For Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7. Check our GitHub page:. Friday, June 5, 2015. A few IPython notebooks. Writing your own user model.

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pysherpa.blogspot.com pysherpa.blogspot.com
1

SherpaBlog

http://pysherpa.blogspot.com/2016/09/sherpa-4.html

Sunday, September 25, 2016. Sherpa 4.8.2 Release with Python 3.5 Beta. Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release). For Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7. Check our GitHub page:. Subscribe to: Post Comments (Atom).

2

SherpaBlog: Installing Sherpa

http://pysherpa.blogspot.com/2015/04/installing-sherpa.html

Tuesday, April 28, 2015. My new iMac with Yosemite arrived this week and I have to install all the software packages I use including Sherpa. I had to install Python Anaconda. Then setup my local git directory. Https:/ github.com/sherpa/sherpa.git. Next go and install sherpa:. Sherpa setup.py install. The build failed as I did not have. Was easy - just got the package from. Https:/ gcc.gnu.org/wiki/GFortranBinaries. And follow the instructions. Which failed as I did not have pyfits. Then I run sherpa test.

3

SherpaBlog: How do I use the standalone build of Sherpa to fit my data?

http://pysherpa.blogspot.com/2014/10/how-do-i-use-standalone-build-of-sherpa.html

Monday, October 20, 2014. How do I use the standalone build of Sherpa to fit my data? I've put together a simple IPython notebook showing off the new standalone Sherpa build. The notebook runs through a simple polynomial fit. And is based on the "Introduction to NumPy/SciPy". Course from the Practical Python for Astronomers site. Using the Sherpa standalone package along with other Python packages (astropy, matplotlib, numpy). How to use the "high-level" API (as described in the CIAO documentation.

4

SherpaBlog: April 2015

http://pysherpa.blogspot.com/2015_04_01_archive.html

Tuesday, April 28, 2015. My new iMac with Yosemite arrived this week and I have to install all the software packages I use including Sherpa. I had to install Python Anaconda. Then setup my local git directory. Https:/ github.com/sherpa/sherpa.git. Next go and install sherpa:. Sherpa setup.py install. The build failed as I did not have. Was easy - just got the package from. Https:/ gcc.gnu.org/wiki/GFortranBinaries. And follow the instructions. Which failed as I did not have pyfits. Then I run sherpa test.

5

SherpaBlog: January 2014

http://pysherpa.blogspot.com/2014_01_01_archive.html

Thursday, January 30, 2014. Sherpa Fitting in ds9. You can now use Sherpa fitting directly from ds9. Several basic spectral and image models are loaded via CIAO analysis tools for a quick look at the model parameters. Here is the video from Kenny showing you how to do it: Fitting in ds9. Subscribe to: Posts (Atom). Sherpa Fitting in ds9.

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cxc.harvard.edu cxc.harvard.edu

Sherpa: CIAO's Modeling & Fitting Application - CIAO 4.4 Sherpa v2

http://cxc.harvard.edu/sherpa4.4/index.html

Skip to the navigation links. Search the Sherpa website or contact the CXC HelpDesk. Last modified: 25 June 2012. URL: http:/ cxc.harvard.edu/sherpa4.4/index.html. CIAO's modeling and fitting package. Sherpa is the CIAO modeling and fitting application. It enables the user to construct complex models from simple definitions and fit those models to data, using a variety of statistics and optimization methods (see Gallery of Examples. Page for details about these enhancements to Sherpa 4.4 functionality.

cxc.harvard.edu cxc.harvard.edu

Sherpa: CIAO's Modeling & Fitting Application - CIAO 4.8 Sherpa v1

http://cxc.harvard.edu/sherpa

Skip to the navigation links. Search http:/ cxc.harvard.edu/sherpa/. Contact the CXC HelpDesk. Last modified: 14 December 2015. URL: http:/ cxc.harvard.edu/sherpa/index.html. CIAO's modeling and fitting package. Sherpa is the CIAO modeling and fitting application. It enables the user to construct complex models from simple definitions and fit those models to data, using a variety of statistics and optimization methods (see Gallery of Examples. Fit 1-D data sets (simultaneously or individually), including:.

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SherpaBlog

Sunday, September 25, 2016. Sherpa 4.8.2 Release with Python 3.5 Beta. Sherpa 4.8.2 was released on September 22, 2016. This is the first release for both Python 2.7 and Python 3.5 (Beta release). The 4.8.2 release is available for Python 2.7 and for the first time (as a beta release). For Python 3.5 The Python 3.5 release is considered a Beta designed to maintain backwards compatibility with Python 2.7. Check our GitHub page:. Friday, June 5, 2015. A few IPython notebooks. Writing your own user model.

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