Part I: Getting Started with Python for Data Science
by Luca Massaron, John Paul Mueller
Python for Data Science For Dummies
- Cover
- Cover
- Introduction
- Part I: Getting Started with Python for Data Science
- Part II: Getting Your Hands Dirty with Data
- Part III: Visualizing the Invisible
- Part IV: Wrangling Data
- Part V: Learning from Data
- Part VI: The Part of Tens
- Chapter 21: Ten Essential Data Science Resource Collections
- Gaining Insights with Data Science Weekly
- Obtaining a Resource List at U Climb Higher
- Getting a Good Start with KDnuggets
- Accessing the Huge List of Resources on Data Science Central
- Obtaining the Facts of Open Source Data Science from Masters
- Locating Free Learning Resources with Quora
- Receiving Help with Advanced Topics at Conductrics
- Learning New Tricks from the Aspirational Data Scientist
- Finding Data Intelligence and Analytics Resources at AnalyticBridge
- Zeroing In on Developer Resources with Jonathan Bower
- Chapter 22: Ten Data Challenges You Should Take
- Meeting the Data Science London + Scikit-learn Challenge
- Predicting Survival on the Titanic
- Finding a Kaggle Competition that Suits Your Needs
- Honing Your Overfit Strategies
- Trudging Through the MovieLens Dataset
- Getting Rid of Spam Emails
- Working with Handwritten Information
- Working with Pictures
- Analyzing Amazon.com Reviews
- Interacting with a Huge Graph
- Chapter 21: Ten Essential Data Science Resource Collections
- About the Authors
- Cheat Sheet
- Connect with Dummies
- End User License Agreement
Part I
Getting Started with Python for Data Science
Visit www.dummies.com for great For Dummies content online.
In this part …
Discovering why being a data scientist is so cool
Defining how Python makes data science easier
Specifying the process normally used for data science tasks
Installing Python so that it works well for data science tasks
Getting up to speed on Python essentials
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