SKU: 96658967087

Python Data Science Handbook, 2/e (Bestseller)

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Python Data Science Handbook, 2/e (Bestseller)Python is a first class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them allIPython, NumPy, pandas, Matplotlib, scikit learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:
IPython and Jupyter provide computational environments for scientists using Python
NumPy includes the ndarray for efficient storage and manipulation of dense data arrays
Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data
Matplotlib includes capabilities for a flexible range of data visualizations
Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
About the AuthorJake VanderPlas is a software engineer at Google Research, working on tools that support data-intensive research. He maintains a technical blog, Pythonic Perambulations,to share tutorials and opinions related to statistics, open software, and scientific computing in Python. He creates and develops Python tools for use in data-intensive science, including packages like Scikit-Learn, SciPy, AstroPy, Altair, JAX, and many others. He participates in the broader data science community, developing and presenting talks and tutorials on scientific computing topics at various conferences in the data science world.

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SKU: 96658967087

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Rachel
Pawtucket, US
★★★★★ 4
Value, Durability, Everyday Use
What I liked: - Price-to-value is the standout. These were significantly better priced than similar packs I’ve bought from local grocery stores and big discount retailers. - For everyday, disposable use—think casseroles, baked pasta, brownies, roasted veggies—the lighter weight is perfectly fine. - They stack neatly and are easy to store, which matters when you’re buying in bulk. What I didn’t like: - They’re a bit flimsier and not as thick as the store-brand pans I’ve used before. You can feel the difference when you handle them. - For heavier dishes (large lasagnas, big roasts, or anything dense with sauces), a single pan can flex more than I’d like. How I used them: - Over the past couple of weeks, I’ve used these for baking brownies, roasting chicken thighs with vegetables, and prepping freezer meals. When I expected more weight or lots of liquid, I doubled up the pans, which solved the flex issue and kept everything stable. - I also tested bending one to compare sturdiness. In the accompanying video, you’ll see me gently flexing the pan to show the “give.” In the photo, I placed this pan next to a thicker pan I bought at a regular store so you can see the difference in gauge. My takeaway: - If you need heavy-duty pans for very weighty dishes, these aren’t a perfect one-for-one replacement for thicker, premium options. However, for routine baking, storage, and serving—especially when you plan to toss the pan afterward—the cost savings make a lot of sense. - Doubling them for heavier recipes is a simple workaround that maintains stability while still keeping the overall cost lower than buying thicker single-use pans. Verdict: - I’ll be purchasing these again for everyday use and bulk meal prep. The value is strong, and the performance is solid when you match the pan to the job or double up as needed.
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Reviewed in the United States on April 15, 2026
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Rose S.
West Palm Beach, US
★★★★★ 5
Easy clean up
Sturdy. Various uses.
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Reviewed in the United States on March 7, 2026
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Cindy Talley
Waukegan, US
★★★★★ 5
pans
good
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Reviewed in the United States on January 31, 2026
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Monstee71
Massapequa, US
★★★★★ 2
Terrible!!
VERY lightweight and flimsy. I wouldn't trust these pans with anything! Oh... they might be okay for serving potato chips or popcorn.
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Reviewed in the United States on May 24, 2026
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Sherry
Omaha, US
★★★★★ 5
Great item - works great, good value.
Great value - heavy duty and works great!!! Will purchase again. I always like to keep this size on hand.
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Reviewed in the United States on May 15, 2026

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