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Mastering pandas for Finance Paperback – 25 May 2015

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Product details

  • Paperback: 298 pages
  • Publisher: Packt Publishing Limited (May 25, 2015)
  • Language: English
  • ISBN-10: 1783985100
  • ISBN-13: 978-1783985104
  • Product Dimensions: 7.5 x 0.7 x 9.2 inches
  • Shipping Weight: 649 g
  • Average Customer Review: Be the first to review this item
  • Amazon Best Sellers Rank: #33.703 in Books (See Top 100 in Books)

Product description

About the Author

Michael Heydt is an independent consultant, educator, and trainer with nearly 30 years of professional software development experience, during which time, he focused on Agile software design and implementation using advanced technologies in multiple verticals, including media, finance, energy, and healthcare. He holds an MS degree in mathematics and computer science from Drexel University and an executive master's of technology management degree from the University of Pennsylvania's School of Engineering and Wharton Business School. His studies and research have focused on technology management, software engineering, entrepreneurship, information retrieval, data sciences, and computational finance. Since 2005, he has specialized in building energy and financial trading systems for major investment banks on Wall Street and for several global energy-trading companies, utilizing .NET, C#, WPF, TPL, DataFlow, Python, R, Mono, iOS, and Android. His current interests include creating seamless applications using desktop, mobile, and wearable technologies, which utilize high-concurrency, high-availability, and real-time data analytics; augmented and virtual reality; cloud services; messaging; computer vision; natural user interfaces; and software-defined networks. He is the author of numerous technology articles, papers, and books. He is a frequent speaker at .NET user groups and various mobile and cloud conferences, and he regularly delivers webinars and conducts training courses on emerging and advanced technologies. To know more about Michael, visit his website at

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Most helpful customer reviews on 4.0 out of 5 stars 4 reviews
Al Krinker
4.0 out of 5 starsThe content is great and it def will get you going
October 7, 2016 - Published on
4 people found this helpful.
4.0 out of 5 starsExcellent intro to Pandas
August 31, 2015 - Published on
7 people found this helpful.
4.0 out of 5 starsNice overview
July 11, 2015 - Published on
2 people found this helpful.
Amazon Customer
4.0 out of 5 starsAnother great book on Pandas!
July 1, 2015 - Published on
One person found this helpful.