Sanitize conda environments

[gjbex]

Summary by Sourcery

Sanitize the conda environments by removing the cross-platform environment.yml file and introducing individual environment.yml files for each subdirectory in the source-code directory. Update documentation to reflect changes in the code structure and clarify the usage of GPU computing libraries.

Enhancements:

• Update the README files to reflect the current structure and usage of the code directories, including the transition from Jupyter notebooks to directories and the introduction of CuPy as a replacement for some older libraries.

Documentation:

• Revise documentation to clarify the usage of various GPU computing libraries, including PyCUDA, CuPy, Numba, and Rapids, and their respective environment setup.

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[sourcery-ai]

Reviewer's Guide by Sourcery

This PR reorganizes the repository structure by splitting GPU-related code examples into separate directories, each with its own conda environment. The main changes involve removing the global environment.yml file and creating specific environment files for each GPU technology (PyCUDA, CuPy, Numba, Rapids, scikit-cuda). The code examples have been reorganized into dedicated directories with their own README files.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Reorganized code examples into technology-specific directories	Created separate directories for each GPU technology (pycuda, cupy, numba, rapids, scikit-cuda) Added README files for each directory explaining its purpose and contents Moved existing notebook files into their respective directories	source-code/README.md source-code/pycuda/README.md source-code/cupy/README.md source-code/numba/README.md source-code/rapids/README.md source-code/scikit_cuda/README.md
Implemented technology-specific conda environments	Removed global environment.yml file Created separate environment.yml files for each technology Updated main README to reflect the new environment setup approach	README.md environment.yml source-code/pycuda/environment.yml source-code/cupy/environment.yml source-code/numba/environment.yml source-code/rapids/environment.yml source-code/scikit_cuda/environment.yml
Added new example notebooks for GPU technologies	Added Rapids cuDF examples showing dataframe operations on GPU Added CuPy examples demonstrating numpy-like operations on GPU Added Rapids-Pandas integration examples	source-code/rapids/cudf.ipynb source-code/rapids/ext_cudf_pandas_integration.ipynb source-code/cupy/cupy.ipynb

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[sourcery-ai]

Hey @gjbex - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟡 General issues: 2 issues found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[sourcery-ai]

nitpick (typo): Fix typo in section heading

Suggested change

	"## Requiremnts"
	"## Requirements"

[sourcery-ai]

suggestion (typo): The word 'superceded' should be spelled 'superseded'

Suggested change

	However, the library is aging, and has at least partially been superceded by
	However, the library is aging, and has at least partially been superseded by