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README.md

@@ -1,25 +1,26 @@
-FINM Python Introduction and Review
-===================================
+# FINM August Review: Python
+  
 
-# Summary
+## Summary
 
 The FINM August Review is a series of lectures designed for incoming students to prepare for starting with the Financial Mathematics program. The Python Introduction and Review portion is designed to be a refresher or short introduction to the Python programming language. No prior experience is necessary. Even though some incoming students may have extensive prior experience with Python, this review is designed for those with little experience. The aim is to introduce you to what you need to know for the upcoming FINM program. The academic lectures of September Launch and autumn quarter will assume students have mastered the concepts covered throughout August Review, and so it’s critical that all students enter the year with a solid grasp of this material. 
 
+## Course Info
 
 * **Class:** 
- - Tuesday, July 30: 6-9pm CT on Zoom
- - Friday, August 2: 6-9pm CT on Zoom
- - Tuesday, August 6: 6-9pm CT on Zoom
- - Friday, August 9: 6-9pm CT on Zoom
+ - Discussion 1: Tuesday, July 30: 6-9pm CT on Zoom
+ - Discussion 2: Friday, August 2: 6-9pm CT on Zoom
+ - Discussion 3: Tuesday, August 6: 6-9pm CT on Zoom
+ - Discussion 4: Friday, August 9: 6-9pm CT on Zoom
 
 * **Lecturer:** Jeremy Bejarano, [email protected]
 * **Website:** 
  - Canvas: https://canvas.uchicago.edu/courses/57668 will be used for grades. 
- - Lecture notes will be hosted here: 
+ - Lecture notes will be hosted here: https://jeremybejarano.com/finm-python-crash-course/
  - Code for the course will be hosted on GitHub: https://github.com/jmbejara/finm-python-crash-course 
 
 **Required Software**
-However, the first class will use [Google Colaboratory](https://colab.research.google.com/), a free online Python notebook platform that doesn't require any installation. However, each lecture after this will use the following software. Please make sure to install these before then. If you need help installing this software, please  ask for help in the discussion section on Canvas.
+Each lecture after this will use the following software. Please make sure to install these before then. If you need help installing this software, please  ask for help in the discussion section on Canvas.
 
  - Python 3.11 or greater, Anaconda Distribution
    - For this class, please download the [Anaconda distribution of Python](https://www.anaconda.com/products/distribution). Be sure to download current version, with Python version 3.9. or greater. When you install Anaconda, be sure to install the full Anaconda distribution. 
@@ -34,8 +35,18 @@ However, the first class will use [Google Colaboratory](https://colab.research.g
    and GitHub Desktop (link here: https://github.com/apps/desktop).
    - Some classes will use GitHub. GitHub is a website that allows you to store, interact with, and share your Git repositories online. [Please register an account with GitHub](https://github.com/) if you don't already have one.
 
+*NOTE:* It's also important that you have a quality laptop. I recommend a laptop with at least 16GB of RAM and at least 500 GB of storage (at a minimum). 
+So much of your schooling and of your job will revolve around your laptop. 
+It's important to invest in a good one. If you have any questions about your laptop, please ask in the discussion section on Canvas.
 
-**Helpful References**
+**WRDS Account**
+
+This course requires that you create a WRDS account. WRDS is a comprehensive data research platform that provides access to a wide range of financial, economic, and marketing data.
+Follow the instructions [here](./01_setting_up_environment.md#wrds-how-do-i-sign-up) to sign up.
+
+
+
+## Helpful References
 
 A lot of my lecture material will use content from the following helpful books: