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--- other:python:jyp_steps [2016/02/19 16:17] – Added more debugger mode instructions jypeter
+++ other:python:jyp_steps [2016/07/21 11:18] – [cdms2] Added a link to UV-CDAT in the "Working with Python" page jypeter
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 ====== JYP's recommended steps for learning python ======
+<note tip>If you don't know which python distribution to use and how to start the python interpreter, you should first read the [[starting|Working with Python]] page</note>
 As can be expected, there is **a lot** of online python documentation available, and it's easy to get lost. You can always use google to find an answer to your problem, and you will probably end up looking at lots of answers on [[http://stackoverflow.com/questions/tagged/python|Stack Overflow]] or a similar site. But it's always better to know where you can find some good documentation... and to spend some time to read the documentation
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 ==== cdms2 ====
-Summary: cdms2 can read/write netCDF files (and read //grads// dat+ctl files) and provides a higher level interface than netCDF4. Unfortunately, cdms2 is only available in the UV-CDAT distribution, and distributions where somebody has installed some version of //cdat-lite//. When you can use cdms2, you also have access to //cdtime//, that is very useful for handling time axis data.
+Summary: cdms2 can read/write netCDF files (and read //grads// dat+ctl files) and provides a higher level interface than netCDF4. Unfortunately, cdms2 is only available in the [[other:python:starting#uv-cdat|UV-CDAT distribution]], and distributions where somebody has installed some version of //cdat-lite//. When you can use cdms2, you also have access to //cdtime//, that is very useful for handling time axis data.
 How to get started:
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 ===== Basemap =====
+<note warning>It seems that basemap is going to be slowly phased out, in favor of [[#cartopy]]\\ More information in this [[https://github.com/matplotlib/basemap/issues/267|basemap github issue]]
+</note>
 Summary: Basemap is an extension of Matplotlib that you can use for plotting maps, using different projections
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   - look at the [[http://matplotlib.org/basemap/users/examples.html|examples]]
   - check the [[http://matplotlib.org/basemap/users/mapsetup.html|different projections]]
-  - look at the [[http://matplotlib.org/basemap/api/basemap_api.html#module-mpl_toolkits.basemap|detailed documentation]]
+  - read some documentation!
+    - the **really nice** [[http://basemaptutorial.readthedocs.io/en/latest/index.html|basemap tutorial]] seems much better than the official documentation below
+    - look at the [[http://matplotlib.org/basemap/api/basemap_api.html#module-mpl_toolkits.basemap|detailed official documentation]]
+===== Cartopy =====
+Summary: //Cartopy makes use of the powerful PROJ.4, numpy and shapely libraries and has a simple and intuitive drawing interface to matplotlib for creating publication quality maps//
+Where: [[http://scitools.org.uk/cartopy/docs/latest/|Cartopy web site]]
 ===== Scipy Lecture Notes =====
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 Hint: before optimizing your script, you should spent some time //profiling// it, in order to only spend time improving the slow parts of your script
+==== Useful packages ====
+  * [[https://github.com/pydata/numexpr|Numexpr]]: //Numexpr is a **fast numerical expression evaluator for NumPy**. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python.//
+  * [[http://www.pytables.org/|PyTables]]: //PyTables is a package for managing hierarchical datasets and designed to efficiently and **easily cope with extremely large amounts of data**//
 ==== Tutorials by Ian Osvald ====