reorganize

Author: s-sajid-ali

docs/hpc/03_storage/06_best_practices.md

@@ -48,5 +48,5 @@ Your home directory has a relatively small number of inodes.
 If you create a conda or python environment in you home directory, this can eat up all the inodes. 
 :::
 
-Please review the [Package Management section](../06_tools_and_software/05_software_on_greene.md#package-management-for-r-python--julia-and-conda-in-general) of the [Greene Software Page](../06_tools_and_software/05_software_on_greene.md).
+Please review the [Package Management section](../06_tools_and_software/05_software_on_greene.md#package-management-for-r-python--julia-and-conda-in-general) of the [Greene Software Page](../06_tools_and_software/01_software_on_greene.md).
 

docs/hpc/03_storage/07_large_number_of_small_files.md

@@ -45,7 +45,7 @@ This option may require a lot of RAM - thus you may have to wait a long time for
 Special containers, which allow to either load data fast fully or access chosen elements without loading the whole dataset into RAM.
 
 ### SQLite
-If you have structured data, a good option would be to use SQLite.  Please see [SQLite: Handling Large Structured Data](../06_tools_and_software/07_sqlite_handling_large_structured_data.md) for more information.
+If you have structured data, a good option would be to use SQLite.  Please see [SQLite: Handling Large Structured Data](../06_tools_and_software/05_sqlite_handling_large_structured_data.md) for more information.
 
 ### HDF5
 One can think about HDF5 file as a "container file" (database of a sort), which holds a lot of objects inside.