Quantitative Economics with Python
Table of Contents
About Lectures
Introduction to Python
The Scientific Libraries
Advanced Python Programming
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Lecture Status
Troubleshooting
Index
B
|
C
|
D
|
G
|
I
|
J
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
V
B
Bisection
C
cloud computing
amazon ec2
anaconda enterprise
google app engine
pythonanywhere
sagemath cloud
Compiling Functions
,
[1]
D
Data Sources
Debugging
,
[1]
Dynamic Typing
G
Git
I
Immutable
Integration
,
[1]
IPython
J
Jupyter
Jupyter Notebook
Basics
Help
nbviewer
Setup
Sharing
Jupyter Notebooks
,
[1]
JupyterLab
,
[1]
L
Linear Algebra
,
[1]
M
Matplotlib
,
[1]
,
[2]
3D Plots
Multiple Plots on One Axis
Simple API
Subplots
Models
Code style
Mutable
N
NetworkX
Newton-Raphson Method
NumPy
,
[1]
,
[2]
,
[3]
Arrays
Arrays (Creating)
Arrays (Indexing)
Arrays (Methods)
Arrays (Operations)
Arrays (Shape and Dimension)
Comparisons
Matrix Multiplication
Universal Functions
Vectorized Functions
O
Object-Oriented Programming
Classes
Key Concepts
Methods
Special Methods
OOP II: Building Classes
,
[1]
Optimization
,
[1]
Multivariate
P
Pandas
,
[1]
,
[2]
DataFrames
Series
pandas_datareader
parallel computing
copperhead
ipython
pycuda
starcluster
pyMC
pystan
Python
Anaconda
Assertions
common uses
Comparison
Conditions
Content
Cython
Data Types
Decorators
,
[1]
,
[2]
,
[3]
Descriptors
,
[1]
Dictionaries
Docstrings
Exceptions
For loop
Functions
Generator Functions
Generators
Handling Errors
Identity
Indentation
Interfacing with Fortran
Interpreter
Introductory Example
IO
IPython
Iterables
Iteration
,
[1]
Iterators
,
[1]
,
[2]
keyword arguments
lambda functions
List comprehension
Lists
Logical Expressions
Matplotlib
Methods
Namespace (__builtins__)
Namespace (Global)
Namespace (Local)
Namespace (Resolution)
Namespaces
Numba
NumPy
Object-Oriented Programming
Objects
Packages
Pandas
pandas-datareader
Paths
PEP8
Properties
PyPI
Recursion
requests
Runtime Errors
SciPy
,
[1]
Sets
Slicing
Subpackages
syntax and design
Tuples
Type
User-defined functions
Variable Names
Vectorization
While loop
python
Q
QuantEcon
R
requests
S
scientific programming
Blaze
CVXPY
Jupyter
Numba
numeric
PyTables
scikit-learn
SciPy
,
[1]
,
[2]
,
[3]
,
[4]
Bisection
Fixed Points
Integration
Linear Algebra
Multivariate Root-Finding
Newton-Raphson Method
Optimization
Statistics
Static Types
statsmodels
SymPy
V
Vectorization
,
[1]
Operations on Arrays