This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
other:python:starting [2019/07/11 15:31] jypeter [ipython notebook] Added link to a tutorial |
other:python:starting [2022/01/04 20:47] jypeter Added LSCE jupyterhub section |
||
---|---|---|---|
Line 30: | Line 30: | ||
</code> | </code> | ||
- | ===== Ultra quick-start on the LSCE servers ===== | + | ===== Ultra quick-start on the interactive LSCE servers ===== |
==== Initialization ==== | ==== Initialization ==== | ||
Line 122: | Line 122: | ||
- Read the rest of this page to get a better understanding of what you have learned in this section, and use Python more efficiently | - Read the rest of this page to get a better understanding of what you have learned in this section, and use Python more efficiently | ||
- Learn Python by reading what you need on the [[other:python:jyp_steps|JYP's recommended steps for learning python]] page | - Learn Python by reading what you need on the [[other:python:jyp_steps|JYP's recommended steps for learning python]] page | ||
+ | |||
+ | |||
+ | ===== Using the LSCE jupyterhub server ===== | ||
===== Python distributions available for LSCE users ===== | ===== Python distributions available for LSCE users ===== | ||
Line 161: | Line 164: | ||
==== CDAT ==== | ==== CDAT ==== | ||
- | [[https://uvcdat.llnl.gov/|CDAT]] (//Community Data Analysis Tools//) is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for **climate** data analysis problems, and is recommended by JYP. | + | [[https://cdat.llnl.gov/|CDAT]] (//Community Data Analysis Tools//) is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for **climate** data analysis problems. CDAT is **recommended by JYP**. |
CDAT is **available for Mac, Linux and Windows 10 (Windows 10 + [[other:win10wsl|Windows Subsystem for Linux, and Ubuntu]])**. | CDAT is **available for Mac, Linux and Windows 10 (Windows 10 + [[other:win10wsl|Windows Subsystem for Linux, and Ubuntu]])**. | ||
Line 175: | Line 178: | ||
^ CDAT version ^ JYP\\ version ^ python\\ version ^ Availability? ^ Available packages ^ Installation notes ^ | ^ CDAT version ^ JYP\\ version ^ python\\ version ^ Availability? ^ Available packages ^ Installation notes ^ | ||
- | | **8.1** | 18 | 2.7.15\\ 3.6.7 | LSCE, ciclad | {{ :other:uvcdat:cdat_conda:cdat-8.1_py2_list_190307.txt |Default CDAT packages}}\\ [[other:uvcdat:cdat_conda:cdat_8_1#extra_packages_list|Extra packages]] | [[other:uvcdat:cdat_conda:cdat_8_1|8.1 notes]] | | + | | **8.2.1** | 19 | 3.8.8 | LSCE | {{ :other:uvcdat:cdat_conda:cdat_8.2.1_nompi_21-03-05.txt |Default CDAT 8.2.1 packages}}\\ [[other:uvcdat:cdat_conda:cdat_8_2_1#extra_packages_list|Extra packages]] | [[other:uvcdat:cdat_conda:cdat_8_2_1|8.2.1 notes]] | |
+ | | **8.1** | 18 | 2.7.15\\ 3.6.7 | LSCE, ciclad | {{:other:uvcdat:cdat_conda:cdat-8.1_py2_list_190307.txt|Default CDAT 8.1 packages}}\\ [[other:uvcdat:cdat_conda:cdat_8_1#extra_packages_list|Extra packages]] | [[other:uvcdat:cdat_conda:cdat_8_1|8.1 notes]] | | ||
== Initialization == | == Initialization == | ||
Line 237: | Line 241: | ||
</code> | </code> | ||
- | ==== Canopy ==== | ||
- | [[https://www.enthought.com/products/canopy/|Enthought Canopy]] is //a Scientific and Analytic Python Deployment with Integrated Analysis Environment// provided by [[https://www.enthought.com/|Enthought]]. It used to be called EPD (//Enthought Python Distribution//) | + | ==== Anaconda ==== |
- | Canopy is **available for Windows, Mac and Linux**. You can download the free //Canopy Express// that will already provide many extensions. If you are entitled to use //Canopy Academic//, login from inside Canopy Express and download the extra modules you need | + | <note tip>This is the recommended Python distribution/environment. It is **available for Windows, Mac and Linux**</note> |
+ | [[https://www.continuum.io/why-anaconda|Anaconda]] is a distribution provided by [[https://www.continuum.io/|Continuum Analytics]]. It is similar to [[#enthought_deployment_manager_edm|EDM]] | ||
- | ==== Anaconda ==== | ||
- | [[https://www.continuum.io/why-anaconda|Anaconda]] is a distribution similar to [[#canopy]] provided by [[https://www.continuum.io/|Continuum Analytics]]. | + | Note: Anaconda provides and uses ''conda'' for its installation. Since [[#cdat|CDAT]] is also installed and maintained with ''conda'', you can read the [[other:uvcdat:conda_notes|Installing and maintaining UV-CDAT with conda]] page for more information, even if you are not going to use CDAT |
+ | |||
+ | ==== Enthought Deployment Manager (EDM) ==== | ||
+ | |||
+ | <note tip>This was previously called //Enthought Python Distribution (EPD)// and then //Enthought Canopy//</note> | ||
- | Anaconda is **available for Windows, Mac and Linux** | + | [[https://www.enthought.com/enthought-deployment-manager/|Enthought Deployment Manager (EDM)]] is Enthought’s mechanism to deliver scientific software applications and development environments |
- | Note: Anaconda provides and uses ''conda'' for its installation. Since CDAT is now also installed and maintained with ''conda'', you can read the [[other:uvcdat:conda_notes|Installing and maintaining UV-CDAT with conda]] page for more information, even if you are not going to use CDAT | + | There are native installers for Windows (.msi), Mac OS X (.pkg), RHEL/Fedora (.rpm), and Debian/Ubuntu (.deb) |
===== ipython ===== | ===== ipython ===== |