Meta issue to modernize all of the usage of parameters

[jlperla]

Apply the #211 #53 and #60 #257 to each lecture. I think you can group them by "chapter" in a single PR. You can check off the lecture when you have done the full pass of all three of these.

Getting Started with Julia

• [ ] Setting up Your Julia Environment
• [ ] Introductory Examples
• [ ] Julia Essentials
• [ ] Arrays, Tuples, Ranges, and Other Fundamental Types
• [ ] Introduction to Types and Generic Programming

Package Ecosystem

• [ ] Generic Programming
• [ ] General Purpose Packages
• [ ] Data and Statistics Packages
• [ ] Solvers, Optimizers, and Automatic Differentiation

Software Engineering

• [ ] Visual Studio Code and Other Tools
• [ ] GitHub, Version Control and Collaboration
• [ ] Packages, Testing, and Continuous Integration
• [ ] The Need for Speed

Tools and Techniques

• [ ] Geometric Series for Elementary Economics
• [ ] Linear Algebra
• [ ] Orthogonal Projections and Their Applications
• [ ] LLN and CLT
• [ ] Continuous State Markov Chains
• [ ] Numerical Linear Algebra and Factorizations
• [ ] Krylov Methods and Matrix Conditioning

Introduction to Dynamics

• [ ] Dynamics in One Dimension
• [ ] AR1 Processes
• [ ] Finite Markov Chains
• [ ] Linear State Space Models
• [ ] Wealth Distribution Dynamics
• [ ] A First Look at the Kalman Filter
• [ ] Shortest Paths

Dynamic Programming

• [ ] Job Search I: The McCall Search Model
• [ ] Job Search II: Search and Separation
• [ ] A Problem that Stumped Milton Friedman
• [ ] Job Search III: Search with Learning
• [ ] Job Search IV: Modeling Career Choice
• [ ] Job Search V: On-the-Job Search
• [ ] Optimal Growth I: The Stochastic Optimal Growth Model
• [ ] Optimal Growth II: Time Iteration
• [ ] Optimal Growth III: The Endogenous Grid Method
• [ ] LQ Dynamic Programming Problems
• [ ] Optimal Savings I: The Permanent Income Model
• [ ] Optimal Savings II: LQ Techniques
• [ ] Consumption and Tax Smoothing with Complete and Incomplete Markets
• [ ] Optimal Savings III: Occasionally Binding Constraints
• [ ] Robustness
• [ ] Discrete State Dynamic Programming

Modeling in Continuous Time

• [ ] Modeling COVID 19 with Differential Equations
• [ ] Modeling Shocks in COVID 19 with Stochastic Differential Equations

Multiple Agent Models

• [ ] Schelling’s Segregation Model
• [ ] A Lake Model of Employment and Unemployment
• [ ] Rational Expectations Equilibrium
• [ ] Markov Perfect Equilibrium
• [ ] Asset Pricing I: Finite State Models
• [ ] Asset Pricing II: The Lucas Asset Pricing Model
• [ ] Asset Pricing III: Incomplete Markets
• [ ] Uncertainty Traps
• [ ] The Aiyagari Model
• [ ] Default Risk and Income Fluctuations
• [ ] Globalization and Cycles

Time Series Models

• [ ] Covariance Stationary Processes
• [ ] Estimation of Spectra
• [ ] Additive Functionals
• [ ] Multiplicative Functionals
• [ ] Classical Control with Linear Algebra
• [ ] Classical Filtering With Linear Algebra

Dynamic Programming Squared

• [ ] Dynamic Stackelberg Problems
• [ ] Optimal Taxation in an LQ Economy
• [ ] Optimal Taxation with State-Contingent Debt
• [ ] Optimal Taxation without State-Contingent Debt

[jlperla]

To run the formatting on a directory you can do:

bash format_all_myst.sh notebooks/getting_started_julia

Or can just do it manually, like

julia format_myst.jl lectures/getting_started_julia/getting_started.md

[jlperla]

In the first PR, lets change the JuliaFormatter margin = 85