Index

B

Bisection

C

Compiling Functions, [1]

D

Data Sources

Debugging, [1] Dynamic Typing

I

Immutable

Integration, [1] IPython

J

Jupyter Jupyter Notebook Basics Debugging 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] Arithmetic Operations Arrays Arrays (Creating) Arrays (Indexing) Arrays (Methods) Arrays (Shape and Dimension) Broadcasting Comparisons Matrix Multiplication, [1] 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] DataFrames Series pandas_datareader Python Anaconda Assertions common uses Comparison Conditions Content Cython Data Types Decorators, [1], [2], [3] Descriptors, [1] Dictionaries Docstrings Exceptions For loop 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 Recursion requests Runtime Errors SciPy, [1] Sets Slicing Subpackages SymPy syntax and design Tuples Type User-defined functions Variable Names Vectorization While loop

python

Q

QuantEcon

R

requests

S

scientific programming numeric SciPy, [1], [2], [3], [4] Bisection Fixed Points Integration Linear Algebra Multivariate Root-Finding Newton-Raphson Method Optimization Statistics

Static Types SymPy, [1]

V

Vectorization, [1] Operations on Arrays

Y

yfinance