Differences

This shows you the differences between two versions of the page.

--- apps:datastudio:start [2021/09/26 16:40] – [Using the Python System] enviadmin
+++ apps:datastudio:start [2023/04/17 11:28] (current) – [Other Resources] enviadmin
@@ Line 1: / Line 1: @@
-====== DataStudio for Python ======
+====== DataStudio (BETA 2) for Python ======
+DataStudio is your integrated workbench to use the power of Python to
+  * Access, analyse and visiualize ENVI-met data
+  * Program application behaviour and script application routines.
+DataStudio is first released with ENVI-met V5 and is labelled BETA because many more options will come in the next ENVI-met updates. This includes both the functionality of DataStudio itself and also the number of application supporting DataStudio (LEONARDO, BIO-met and Forcing Manager at the moment).
-===== Using the Python System  =====
+Also DataStudio ships with a few sample scripts. This selection is very limited for the time being, but using "Scripts online" you will find a continiously growing collection of scripts for your application.
-ENVI-met ships with a small embedded Python distribution including the popular installation manager PIP.
+**Please note that DataStudio is in BETA phase, so expect changes in the way it works that may break compatibility.**
-As this distribution is kept small and universal, you might need to install one or more additional packages your scripts may require.
-In addition to the built-in Python distribution you can also select an existing Python Version (64 Bit) installed on your PC to be used instead of the one shipped with ENVI-met.
-For more details please visit: [[apps:python:start|apps:python:start]].
+====== Getting to know DataStudio  ======
-You can switch between different Python distributions (if existing) in the Workspace Manager.
+  * 0. At the beginning...[[apps:python:start|ENVI-met Python Integration]]
+====== Scripts  ======
+===== Scripts for all apps   =====
+===== Other Resources =====
+As DataStudio is your interface to the Python world, we could -in principle- add every resource that deals with Python and data analysis here. That is of course neither possible nor does it make sense. So we havejust added some very selected resources that might help you getting around in the world of Python.
+[[https://wesmckinney.com/book/| O'Reilly released the 3rd edition of Python for Data Analysis as an open source HTML book.]]
+[[https://github.com/matplotlib/cheatsheets|MatplotLib Cheat sheet and Handout on GitHub. Almost everything together on a A4 paper]]