https://github.com/irevenko/labs-playground

🏫 A Collection of College Labs
https://github.com/irevenko/labs-playground

calc calculate calculation calculations calculus college-assignment college-purpose lab lab-exercise laboratory-exercises labs math math-expressions mathematica mathematical-expressions mathematical-modelling mathematics maths

Last synced: 3 months ago
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🏫 A Collection of College Labs

• Host: GitHub
• URL: https://github.com/irevenko/labs-playground
• Owner: irevenko
• License: mit
• Created: 2020-04-10T07:32:53.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-11-15T20:00:04.000Z (almost 5 years ago)
• Last Synced: 2025-01-28T12:16:46.991Z (8 months ago)
• Topics: calc, calculate, calculation, calculations, calculus, college-assignment, college-purpose, lab, lab-exercise, laboratory-exercises, labs, math, math-expressions, mathematica, mathematical-expressions, mathematical-modelling, mathematics, maths
• Language: Python
• Homepage:
• Size: 15.6 KB
• Stars: 4
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# math-playground 🧮

Here are some calculus assigments, exercises, algorithms which i've done in 2020 while studying at College

# Subjects 📚📋

* [Discrete Math](#discrete-math- "Goto #discrete-math-💖") 

   * [Sets](#sets-calculator- "Goto #sets-calculator-🖩")

* [Numerical Analysis](#numerical-analysis- "Goto #numerical-analysis-📊")

   * [Regression](#regression- "Goto #regression-📉")

# Discrete Math 💖

# Sets Calculator 🖩

Made this app to learn more about sets structure


Logic in Python, GUI in Tkinter










 

# Numerical Analysis 📊

# Regression 📉

This is a simple linear Regression solved with [Least squares](https://en.wikipedia.org/wiki/Least_squares) method


Where: 

* x - is the exam preparation time

* y - is the student mark

* φ - is the estimated mark

* Σ - is the sum and 1/nΣ is an avg sum

* Ɛ - is an [observational error](https://en.wikipedia.org/wiki/Observational_error)

Used [tabulate](https://pypi.org/project/tabulate/) to beatify the output



# What I Learned 🧠

* Sets

* Graphs

* Bool algebra

* Matrices

* Regression

* Cryptography Basics

# License 📑 

(c) 2020 Ilya Revenko. [MIT License](https://tldrlegal.com/license/mit-license)