Updates to slides

[gjbex]

Summary by Sourcery

Update performance measurements and add additional benchmarking for NumPy I/O operations

Enhancements:

• Added performance measurements for np.load and np.fromfile methods
• Updated existing performance timings for various NumPy I/O operations

Documentation:

• Added markdown sections for np.load and np.fromfile methods to provide context for performance measurements

[sourcery-ai]

Reviewer's Guide by Sourcery

This pull request adds an example of using np.fromfile to the slides and updates the benchmark results for np.save, np.load, np.memmap, and np.fromfile. The np.fromfile example includes a code snippet demonstrating its usage, along with a verification step to check the loaded data's shape and dtype. The benchmark results were updated by running the code cells and copying the output.

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

File-Level Changes

Change	Details	Files
Added np.fromfile example to the slides.	Added a markdown cell introducing np.fromfile. Added a code cell demonstrating the usage of np.fromfile with timeit. Added a markdown cell recommending verification of loaded data. Added a code cell to verify the shape and dtype of the loaded data.	source-code/numpy/io_performance.ipynb
Updated benchmark results for np.save, np.load, np.memmap, and np.fromfile.	Updated the time reported by the %time magic command for np.save. Updated the time reported by the %timeit magic command for np.load. Updated the time reported by the %timeit magic command for np.fromfile. Updated the time reported by the %time magic command for np.memmap. Updated the time reported by the %timeit magic command for np.memmap. Updated the time reported by the %timeit magic command for np.save.	source-code/numpy/io_performance.ipynb

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[sourcery-ai]

Hey @gjbex - I've reviewed your changes - here's some feedback:

Overall Comments:

• Consider adding a brief explanation of the difference between np.save and np.fromfile.

Here's what I looked at during the review

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

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