This component is optional, but recommended. PyQt4 provides a set of libraries used in the Qt console mode of IPython. It is the main environment for entering commands and getting instant results, and is a very useful tool when learning Python.ĭistribute provides a variety of tools which make installing other packages easy. IPython provides an interactive Python environment. The most important include a wide range of random number generators, linear algebra and optimizers. SciPy contains a large number of routines needed for analysis of data. NumPy provides a set of array and matrix data types which are essential for econometrics and data analysis. Python 2.7.2 (or later, but Python 2.7.x) is required. If the code block does not contain the console session indicator, the code contained in the block is designed to be in a standalone Python file.įrom _future_ import print_function import numpy as np x = np.array() y = np.sum(x) print(x) print(y) Output will often appear after the console command, and will not be preceded by a command indicator. 100ġ1 Logical Operators and Find 11.2 and, or, not and xorġ1.1 >, >=, >, this indicates that the command is running an interactive IPython session. Exercisesġ0 Inf, NaN and Numeric Limits 10.1 Exercises Importing and Exporting Data 9.1 9.2 9.3 9.4 9.5 9.6 Importing Data. ExercisesĪrray and Matrix Functions 8.1 8.2 8.3 8.4 Views 5.11 Operator Precedence 5.12 Exercises 6 Basic Functions 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 7 Generating Arrays and Matrices. Array and Matrix Addition (+) and Subtraction (-) Matrix Multiplication (*)Īrray Multiplication (*). īuilt-in Data Types 3.1 3.2 3.3 3.4 Variable Names.
Relevant Differences between Python 2.7 and 3.2. Intel Math Kernel Library and AMD Core Math Library. Solutions I hope to have the addressed by the end of March 2012. Kevin Sheppard University of Oxford Thursday 22nd March, 2012 Introduction to Python for Econometrics, Statistics and Data Analysis
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