Differences

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--- other:uvcdat:cdat_conda:cdat_2024_03 [2024/03/13 17:02] – [Installing Miniconda3] jypeter
+++ other:uvcdat:cdat_conda:cdat_2024_03 [2025/04/09 16:48] (current) – [Extra packages list] Added NumExpr jypeter
@@ Line 47: / Line 47: @@
 Read the next sections of this web page
-There are some slight differences if you want to install this distribution:
+There are some slight differences depending on how and where you want to install this distribution:
-  * Only for you. This is the usual case. Well, if you break something you can always remove everything and start from scratch
+  * **Only for you**\\ This is the common case. Well, if you break something you can always remove everything and start from scratch
-  * For sharing a stable version with several other people. You should be careful not to break the installion!
+  * For **sharing a stable version with several other people**\\ You should be careful not to break a shared installation!
+    * Be extremely careful with packages that require downgrading other packages/dependencies (especially downgrading key packages like ''numpy'' and ''matplotlib'').
+    * Try to avoid packages only based on ''pip''
 The notes at the beginning of each section will tell you if you can skip the section if you are just installing for you
-===== What's New in CDAT 8.2.1? =====
+===== What's New in JYP's 2024-03 distribution? =====
-  * [[https://github.com/CDAT/cdat/releases/tag/v8.2.1|8.2.1 announcement]] and features summary ([[https://github.com/UV-CDAT/uvcdat/releases|all versions]])
+  * This is the first distribution not //tied// to CDAT packages
-  * Full [[https://uvcdat.llnl.gov/changelog.html#8.2.1|Change log]]
-Note: this particular CDAT installation at LSCE (and on other machines/servers) provides **many extra (non-CDAT) packages**. You can jump directly to the [[#extra_packages_list|Extra package list]] at the bottom of this page, if you want to see what is available
+  * There are lots (and lots) of extra packages that all have their own history. You can always visit the [[#extra_packages_list|Extra package list]] on this page, to get news from individual packages
 ===== Installation with Miniconda3 =====
@@ Line 318: / Line 319: @@
 ===== Extra packages list =====
+<note important>
+Do not forget to add the following packages to the future environments\\ \\
+  * [[https://anaconda.org/conda-forge/cxx-compiler/|cxx-compiler]]: a metapackage to obtain a C++ compiler
+  * [[https://f90nml.readthedocs.io/|f90nml]]: a Fortran namelist parser, generator, and editor
+  * [[https://flake8.pycqa.org/en/stable/|flake8]]: your Tool For Style Guide Enforcement
+  * [[https://loguru.readthedocs.io/|Loguru]]: a library which aims to bring enjoyable logging in Python
+  * [[https://pythonot.github.io/|pot]]: Python Optimal Transport\\ This open source Python library provides several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning
+  * [[https://pybind11.readthedocs.io/|pybind11]]: a lightweight header-only library that exposes C++ types in Python and vice versa
+  * [[https://docs.astral.sh/ruff/|ruff]]: An extremely fast Python linter and code formatter, written in Rust
+  * [[https://xrft.readthedocs.io/|xrft]]: Fourier transforms for xarray data
+  * [[https://zarr.readthedocs.io/|zarr]]: a file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification
+</note>
 FIXME: need to clean the list below, and move the packages to the ordered list further down
@@ Line 404: / Line 420: @@
   * [[https://gitlab.com/remikz/nccmp|nccmp]]: compare two NetCDF files bitwise, semantically or with a user defined tolerance (absolute or relative percentage)
     * can probably also be done with [[https://code.mpimet.mpg.de/projects/cdo/embedded/index.html#x1-580002.1.3|cdo -v diffn file1.nc file2.nc]]
+  * [[https://github.com/pydata/numexpr|NumExpr]]: Fast numerical expression evaluator for NumPy
   * [[https://opencv.org/|OpenCV]]: OpenCV (Open Source Computer Vision Library) is an open-source library that includes several hundreds of computer vision algorithms. See also [[https://www.geeksforgeeks.org/opencv-python-tutorial/|OpenCV Python Tutorial]] and **scikit-image**
   * [[https://openpyxl.readthedocs.io/|openpyxl]]: a Python library to read/write Excel 2010 ''xlsx''/''xlsm'' files
@@ Line 414: / Line 431: @@
     * see also ''python-kaleido'' and ''dash''
   * [[https://www.fatiando.org/pooch/|pooch]]: a friend to fetch your data files (makes it easy to download a file, without messing with ''requests'' and ''urllib'')
-  * [[https://proplot.readthedocs.io/en/latest/|proplot]]: a lightweight **matplotlib wrapper** for making beautiful, publication-quality graphics
+  * //proplot//: a lightweight matplotlib wrapper for making beautiful, publication-quality graphics
+    * **Replaced by ''ultraplot''**
   * [[https://psyplot.github.io/|psyplot]]: Interactive Data Visualization from Python and GUIs
+  * [[https://www.pygmt.org/latest/|PyGMT]]: a Python interface for the [[https://www.generic-mapping-tools.org/|Generic Mapping Tools]]
   * [[https://github.com/jswhit/pygrib|pygrib]]: high-level interface to the ECWMF ECCODES C library for reading GRIB files
     * see also ''eccodes'' and ''cfgrib''
@@ Line 438: / Line 457: @@
     * [[https://anaconda.org/anaconda/tensorflow-mkl|tensorflow-mkl]] will install the **CPU**-based (**not GPU**) version
   * [[https://github.com/tqdm|tqdm]]: make your loops show a smart progress meter
+  * [[https://ultraplot.readthedocs.io/en/latest/|UltraPlot]]: a succinct matplotlib wrapper for making beautiful, publication-quality graphics
   * [[https://uxarray.readthedocs.io/|uxarray]]: provide xarray styled functionality for unstructured grid datasets following [[https://ugrid-conventions.github.io/ugrid-conventions/|UGRID Conventions]]
   * [[https://docs.xarray.dev/en/stable/|xarray]]: Xarray makes working with labelled multi-dimensional arrays in Python simple, efficient, and fun!