Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything. Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.
Michael Heydt - ebooki
Tytuły autora: Michael Heydt dostępne w księgarni Helion
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Promocja
Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites, proxies, and more. By the end of this book, you will be able to scrape websites more efficiently with more accurate data, and how to package, deploy and operate scr- PDF + ePub + Mobi pkt
(29,90 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł(-10%) -
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Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysi- PDF + ePub + Mobi pkt
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł(-10%) -
Promocja
- PDF + ePub + Mobi pkt
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł(-10%) -
Promocja
- PDF + ePub + Mobi pkt
(161,10 zł najniższa cena z 30 dni)
161.10 zł
179.00 zł(-10%)