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Köp båda 2 för 1178 krJohn 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 http://blog.johnmuellerbooks.com/. 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.
Introduction 1 Part 1: Getting Started with Data Science and Python 7 Chapter 1: Discovering the Match between Data Science and Python 9 Chapter 2: Introducing Pythons Capabilities and Wonders 21 Chapter 3: Setting Up Python for Data Science 39 Chapter 4: Working with Google Colab 59 Part 2: Getting Your Hands Dirty with Data 81 Chapter 5: Understanding the Tools 83 Chapter 6: Working with Real Data 99 Chapter 7: Conditioning Your Data 121 Chapter 8: Shaping Data 149 Chapter 9: Putting What You Know in Action 169 Part 3: Visualizing Information 183 Chapter 10: Getting a Crash Course in MatPlotLib 185 Chapter 11: Visualizing the Data 201 Part 4: Wrangling Data 227 Chapter 12: Stretching Pythons Capabilities 229 Chapter 13: Exploring Data Analysis 251 Chapter 14: Reducing Dimensionality 275 Chapter 15: Clustering 295 Chapter 16: Detecting Outliers in Data 313 Part 5: Learning from Data 327 Chapter 17: Exploring Four Simple and Effective Algorithms 329 Chapter 18: Performing Cross-Validation, Selection, and Optimization 347 Chapter 19: Increasing Complexity with Linear and Nonlinear Tricks 371 Chapter 20: Understanding the Power of the Many 411 Part 6: The Part of Tens 429 Chapter 21: Ten Essential Data Resources 431 Chapter 22: Ten Data Challenges You Should Take 437 Index 447