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franperezec/propedeutico-flacso

Analysis updated 2026-05-18

22HTMLAudience · generalComplexity · 1/5Setup · easy

TLDR

Course materials for a preparatory math and Python programming class at a graduate university in Ecuador. Built for social science students with no coding experience who need to learn math foundations alongside practical coding tools.

Mindmap

mindmap
  root((repo))
    What it does
      Teaches math foundations
      Teaches Python basics
      Covers coding tools
      In Spanish
    Course content
      Set theory and logic
      Linear algebra
      Calculus
      Data visualization
    Tech stack
      Python
      Google Colab
      VS Code
      Git and GitHub
    Use cases
      Learn math from scratch
      Start coding with Python
      Set up dev environment
      Practice with notebooks
    Audience
      Social science students
      No programming experience
      Graduate students

Code map

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What do people build with it?

USE CASE 1

Learn mathematical foundations from set theory through calculus with interactive notebooks.

USE CASE 2

Set up a Python development environment from scratch using the included step-by-step guides.

USE CASE 3

Practice Python coding alongside math concepts using the I-do-you-do teaching notebooks.

USE CASE 4

Explore interactive web tools like a truth table builder built for the course.

What is it built with?

PythonHTMLGoogle ColabVS CodeGit

How does it compare?

franperezec/propedeutico-flacsoarnie936/image-to-campaignwamikmk/typesetter
Stars222222
LanguageHTMLHTMLHTML
Setup difficultyeasymoderateeasy
Complexity1/53/51/5
Audiencegeneralpm foundergeneral

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

No installation needed if using Google Colab, local setup requires Python 3.12 plus VS Code and Git, all covered by included manuals.

No license information is provided in the repository materials, so usage rights are unclear.

In plain English

This repository holds the course materials for a preparatory mathematics and Python programming class at FLACSO Ecuador, a graduate social sciences university. The course is designed for students with no prior programming experience. It runs from July 13 to August 8, 2026, as part of the Master's in Development Economics program. The materials are written in Spanish. The course builds mathematical foundations from scratch while teaching the professional tools students will use throughout their degree. These tools include Google Colab, VS Code, Git, GitHub, and virtual environments. The curriculum covers set theory, logic, linear algebra, calculus, and Python programming. Students learn mathematical concepts alongside practical coding skills, starting with basic operations and progressing through matrices, derivatives, and data visualization. Students can access the materials in two ways. The first option uses Google Colab, which requires no installation. Each class notebook opens directly in the browser, and students save their own copy to Google Drive. The second option involves working locally on a personal computer. This path requires installing VS Code, Python 3.12 or higher, and Git. The repository includes step-by-step manuals that guide students through the installation process, covering everything from creating a GitHub account to setting up a virtual environment and installing the course dependencies. The repository is organized into folders. The "clases" folder contains the interactive notebooks for each session, following a "I do / You do" pattern where teachers demonstrate a concept and students practice it. The "manuales" folder holds detailed setup guides viewable in a browser or downloadable as PDFs. An "aplicaciones" folder lists interactive web applications built for the course, such as a truth table tool. A "datos" folder contains datasets used in class. The course syllabus is available as a PDF, and a fixed list of software dependencies is provided in a requirements file. New materials are published each week as the course progresses. Students working locally update their copy by pulling the latest changes from the repository. The full course schedule, with dates and topics for each session, is documented in the syllabus.

Copy-paste prompts

Prompt 1
I am starting a graduate program in social sciences and need to learn Python and math from scratch. Help me create a study plan using topics like set theory, logic, linear algebra, calculus, and Python programming.
Prompt 2
I have no programming experience and need to set up my computer for a Python course. Walk me through installing VS Code, Python 3.12, and Git, and then creating a virtual environment and installing dependencies.
Prompt 3
Help me understand the difference between using Google Colab and a local setup for learning Python, and which approach is better for someone just starting out with no coding background.
Prompt 4
I have a truth table web application for a logic course. Help me understand how to use it to practice evaluating logical expressions and checking my work for set theory problems.
Prompt 5
I need to pull the latest course materials from a GitHub repository to my local computer. Explain how to use git pull to update my copy when new weekly lessons are published.

Frequently asked questions

What is propedeutico-flacso?

Course materials for a preparatory math and Python programming class at a graduate university in Ecuador. Built for social science students with no coding experience who need to learn math foundations alongside practical coding tools.

What language is propedeutico-flacso written in?

Mainly HTML. The stack also includes Python, HTML, Google Colab.

What license does propedeutico-flacso use?

No license information is provided in the repository materials, so usage rights are unclear.

How hard is propedeutico-flacso to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is propedeutico-flacso for?

Mainly general.

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