How to Think about Simulating Nature

prerequisites
Beginner Python, specifically tkinter, Basics of Data Structures, Branching Constructs, and Looping Structures, Basics of how to use time and random libraries
skills learned
Adding widgets to a UI, Manipulating shapes in a UI, Working with row and column data in a grid
Ana Bell
1 week · 4-6 hours per week · BEGINNER
Look inside
In this quick liveProject, you’ll write a UI that simulates water drops on a window during rain. You’ll use nested lists, the random library, and tkinter to increase droplet size with certain probability, and resetting sizes when drops become too big.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book and video resources

When you start your liveProject, you get full access to the following books and videos for 90 days.

project author

Ana Bell
Dr. Ana Bell is a lecturer at the Massachusetts Institute of Technology in the Electrical Engineering and Computer Science department. She has co-lectured two introductory computer science courses in Python for the past five years. She was first introduced to Python in graduate school at Princeton University, where she started using it to parse and reformat large files in her research and found it to be an intuitive language to learn and use. Since then, she's used it for work and personal tasks, and most recently started tinkering with various data science libraries.

Prerequisites

These liveProjects are for beginner Python programmers with a basic mastery of the language, and an understanding of common Python libraries. To begin these liveProjects, you will need to be familiar with:

TOOLS
  • Basics of Python
  • Basics of pandas
TECHNIQUES
  • Basic data structures and algorithms
  • Recursive functions

you will learn

In these liveProjects, you’ll learn important Python skills that will take you from a beginner to an intermediate programmer. These skills are an excellent foundation for data science, app development, and scripting.

  • Common Python libraries
  • MIMEMultipart messages
  • Simulating probability with random libraries
  • Creating a UI window, canvas, and adding and manipulating objects
  • Brute-force solutions
  • Dealing with missing or bad data
  • Plotting columns in a data frame

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
Look inside

placing your order...

Don't refresh or navigate away from the page.
Manning Early Access Program (MEAP) In MEAP, you get immediate access to a liveProject under development, so you can participate while it is created, tested, and improved. Get started today, and pick up right where you've left off whenever we update the project!
liveProject $19.99 $29.99 self-paced learning
How to Think about Simulating Nature (liveProject) added to cart
continue shopping
go to cart

Prices displayed in rupees will be charged in USD when you check out.
RECENTLY VIEWED