Python for data science / by John Paul Mueller and Luca Massaron.
Material type:
TextSeries: --For dummiesPublisher: Hoboken, NJ : John Wiley & Sons, Inc., [2019]Copyright date: ©2019Edition: Second editionDescription: xvi, 467 pages : illustrations ; 24 cmContent type: - text
- still image
- unmediated
- volume
- 9781119547624
- 005.133 23 M.J.P
- QA76.73.P98 M376 2019
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
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Main library A1 | CSCS | CSIS | 005.133 M.J.P (Browse shelf(Opens below)) | 1 | Available | 00015741 |
Browsing Main library shelves, Shelving location: A1 Close shelf browser (Hides shelf browser)
| 005.133 L.Y.I Introduction to Java programming : comprehensive version / | 005.133 L.Y.I Introduction to Java programming : comprehensive version / | 005.133 M.D.D Data structures using C++ / | 005.133 M.J.P Python for data science / | 005.133 M.R.C Computing funamentals with C++ object oriented programming& design / | 005.133 M.S.G Game programming in C++ : creating 3D games / | 005.133 P Practical Python AI projects : mathematical models of optimization problems with Google or-tools / |
Includes index.
Part 1: Getting started with data science and Python -- Part 2: Getting your hands dirty with data -- Part 3: Visualizing information -- Part 4: Wrangling data -- Part 5: Learning from data -- Part 6: The part of tens.
Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.
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