Statt 30,99 €**
25,99 €
versandkostenfrei*

inkl. MwSt.
**Früherer Preis
Sofort lieferbar
Entspannt einkaufen: verlängerte Rückgabefrist1) bis zum 10.01.2022
13 °P sammeln
  • Broschiertes Buch

The fast and easy way to learn Python programming and statisticsPython is a general-purpose programming language created in the late 1980s--and named after Monty Python--that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.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.* Get started…mehr

Produktbeschreibung
The fast and easy way to learn Python programming and statisticsPython is a general-purpose programming language created in the late 1980s--and named after Monty Python--that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library.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.* Get started with data science and Python* Visualize information* Wrangle data* Learn from dataThe 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.
  • Produktdetails
  • For Dummies
  • Verlag: For Dummies / Wiley & Sons
  • Artikelnr. des Verlages: 1W119547620
  • 2. Aufl.
  • Seitenzahl: 496
  • Erscheinungstermin: 5. April 2019
  • Englisch
  • Abmessung: 236mm x 187mm x 30mm
  • Gewicht: 676g
  • ISBN-13: 9781119547624
  • ISBN-10: 1119547628
  • Artikelnr.: 53601269
Autorenporträt
John Paul Mueller is a tech editor and the author of over 100 books on topics from networking and home security to database management and heads-down programming. Follow John's blog at Luca Massaron is a data scientist who specializes in organizing and interpreting big data and transforming it into smart data. He is a Google Developer Expert (GDE) in machine learning.
Inhaltsangabe
Introduction 1Part 1: Getting Started With Data Science and Python 7Chapter 1: Discovering the Match between Data Science and Python 9Chapter 2: Introducing Python's Capabilities and Wonders 21Chapter 3: Setting Up Python for Data Science 39Part 2: Getting Your Hands Dirty With Data 81Chapter 5: Understanding the Tools 83Chapter 6: Working with Real Data 99Chapter 7: Conditioning Your Data 121Chapter 8: Shaping Data 149Chapter 9: Putting What You Know in Action 169Part 3: Visualizing Information 183Chapter 10: Getting a Crash Course in MatPlotLib 185Chapter 11: Visualizing the Data 201Part 4: Wrangling Data 227Chapter 12: Stretching Python's Capabilities 229Chapter 13: Exploring Data Analysis 251Chapter 14: Reducing Dimensionality 275Chapter 15: Clustering 295Chapter 16: Detecting Outliers in Data 313Part 5: Learning From Data 327Chapter 17: Exploring Four Simple and Effective Algorithms 329Chapter 18: Performing Cross-Validation, Selection, and Optimization 347Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks 371Chapter 20: Understanding the Power of the Many 411Part 6: The Part of Tens 429Chapter 21: Ten Essential Data Resources 431Chapter 22: Ten Data Challenges You Should Take 437Index 447