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URL :  Introduction to Python for Econometrics
Author : Kevin Sheppard
Detail : Published: 2012

Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer. They may also be useful for an experienced Python programmer interested in using NumPy, SciPy, and matplotlib for numerical and statistical analysis.

eBook Contents

Introduction - Python 2.7 vs. 3.2 (and the rest) - Built-in Data Types - Arrays and Matrices - Basic Math - Basic Functions - Special Matrices - Array and Matrix Functions - Importing and Exporting Data - Inf, NaN and Numeric Limits - Logical Operators and Find - Flow Control, Loops and Exception Handling - Custom Function and Modules - Probability and Statistics Functions – Optimization - Dates and Times – Graphics - String Manipulation - File System and Navigation - Structured Arrays - Performance and Code Optimization – Examples - Quick Reference – Parallel - Other Python Packages

eBook License: Copyrighted (Personal Use Only)

Free PDF eBook - 1.79 Mb - 281 pages
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