
Python for Data Mining Quick Syntax Reference
Valentina Porcu
Résumé
Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples.
Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them.
The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.
What You'll Learn
- Install Python and choose a development environment
- Understand the basic concepts of object-oriented programming
- Import, open, and edit files
- Review the differences between Python 2.x and 3.x
Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Apress |
Auteur(s) | Valentina Porcu |
Parution | 19/12/2018 |
Nb. de pages | 260 |
EAN13 | 9781484241127 |
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