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Data Science Essentials in Python
Dmitry Zinoviev
€ 31.99
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Description for Data Science Essentials in Python
Paperback. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Num Pages: 200 pages, black & white illustrations. BIC Classification: UMW. Category: (P) Professional & Vocational. Dimension: 194 x 239 x 15. Weight in Grams: 420.
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python. Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R ... Read more
Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python. Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R ... Read more
Product Details
Publisher
Pragmatic Bookshelf
Format
Paperback
Publication date
2016
Condition
New
Weight
420g
Number of Pages
200
Place of Publication
Raleigh, United States
ISBN
9781680501841
SKU
V9781680501841
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Dmitry Zinoviev
Dmitry Zinoviev has an MS in Physics from Moscow State University and a PhD in Computer Science from Stony Brook University. His research interests include computer simulation and modeling, network science, social network analysis, and digital humanities. He has been teaching at Suffolk University in Boston, MA since 2001.
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