Here you can find some additional resources for the Macroeconomics A course.
Latex resources:
List of mathematical symbols used to write expressions in Latex (link)
ShareLatex an online Latex editor and compiler that also allows collaboration with other users; no installation necessary (link)
Miktex, a Latex distribution
TexStudio, a free open-source Latex editor
Stack Exchange central page for Latex and Latex questions
Reddit Latex User's Page
Useful complementary textbooks:
Schaum's Outline of Introduction to Mathematical Economics by Edward Dowling; listing on Amazon.fr
Mathematics for Economists by Carl Simon and Lawrence Blume; listing on Amazon.fr
Fundamental Methods of Mathematical Economics by Kevin Wainwright and Alpha C. Chiang; listing on Amazon.fr
Other resources:
Online course materials of Thomas Sargent and John Stachurski on using Python programming language for quantitative economics
Anaconda distribution of Python
FRED database for macroeconomic data, hosted by the St. Louis Federal Reserve branch
Website of Seton Leonard, former TA of this course for several years
StackExchange a community website for browsing/posing various questions, including about economics. Sometimes it's possible to receive a very quick reply to a particular question.
Review session 1: Constrained optimization; general optimization problems
Additional Materials:
Review session notes by former TA Daniele Rinaldo from 2016-17 school year
Khan Academy sequence on constrained optimization
Review session 2: Log-linearization, Taylor Approximations (notes from Daniele Rinaldo)
Additional Materials:
Last year's homework assignment this example assignment corresponds to HW1 from 2016/2017 school year
Reminder/handout on taking derivatives with logs and exponential functions
Introduction to Macroeconomic Theory textbook by Seton Leonard, former TA of this course
Review session 3: Introduction to Difference Equations
Additional Materials:
Review session notes by former TA Daniele Rinaldo from 2016/2017 school year
Review session 4: Homogenous vs Nonhomogenous Functions; Poole's Model (IS - LM)
Additional Materials:
Previous year's midterm exam (2016)
Review session 5: Solutions to Systems of Linear Difference Equations
Additional Materials:
Economist David R. Pugh's version of the Ramsey Model in Python
John Stachurski and Thomas Sargent's QuantPy Versions of the Ramsey Model
Review session 6: Midterm Exam Review
Review session 7: More on Solving Models
Quantitative Python textbook (free) by Thomas J Sargent and John Stachurski
Find the Anaconda distribution (all free) of Python at this link; be sure to choose Python v3.6, the most recent version
Text editor Atom (free) can be downloaded here and those who are interested can find a discussion comparing the 5 best text editors (for writing code) here
Documentation for NumPy's linear algebra functions can be found here, NumPy is an important Python package, especially for numerical routines
Review Session 8: RBC discussion and Introduction to Python
Additional Materials:
Last Year's Final Exam
Review Session 9: Sticky Prices; Python for Computational Economics ctd.
Additional Materials:
Solution to Ramsey model in Python
Python script for using F.R.E.D. API
Jupyter Notebook from today's review session
Review Session 10: Blanchard and Kahn Soln. to RBC
Additional Materials:
Solution to RBC with Simulated Shocks in Python