Sinossi
What's the sexiest job in the 21st century?
Data Scientist!
Coffee Break Pandas teaches you the new superpower of analyzing and processing data with Python's Pandas framework. If solving puzzles is fun for you, you'll love ❤ this book with 74 brand-new, hand-crafted Pandas puzzles to help you stay relevant in today's marketplace.
Data is the new oil -- whoever develops the skills to harvest this largely untapped asset class will increase their value in the 21st-century marketplace.
- Computers and sensors create ever-growing data sets that become increasingly relevant in every part of our lives.
- Smartphones collect billions of GPS traces that reveal valuable information towards new mobility solutions and truly smart cities.
- Smartwatches track the heart rates of millions of people to detect health problems and prevent unnecessary deaths.
- Intelligent cars collect myriads of sample data points that increase traffic efficiency, prevent millions of car accidents, and save humanity hundreds of millions of hours in traffic jams.
Due to Moore's Law -- the number of transistors on a microchip doubles roughly every two years -- it became financially viable to store, process, and analyze hundreds of terabytes of data.
The combination of increasing amounts of structured data and our improved capability to extract value from this data will result in explosive growth of the data science opportunity.
Pandas is exceptionally suited to analyze structured data in an easy-to-understand and computationally efficient way.
This unique Pandas learning book builds on psychological research to teach 74 Pandas concepts in an easy, fun, and educational way.
✓ Learn faster based on small feedback loops: (I) read puzzle, (II) guess your solution, and (III) compare it to the gold standard and study the explanation.
✓ Track your coding skill level and discover your Pandas rank compared to others -- from Absolute Beginner to Professional to Grandmaster.
✓ Master the Pandas framework and start your career as a data scientist.
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★★★★★
"As a fellow educator and fellow (former) Ph.D. student, I just wanted to let you know that I'm really impressed with your teaching materials."
-- Daniele Puccinelli
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