Analysis updated 2026-05-18
Learn mathematical foundations from set theory through calculus with interactive notebooks.
Set up a Python development environment from scratch using the included step-by-step guides.
Practice Python coding alongside math concepts using the I-do-you-do teaching notebooks.
Explore interactive web tools like a truth table builder built for the course.
| franperezec/propedeutico-flacso | arnie936/image-to-campaign | wamikmk/typesetter | |
|---|---|---|---|
| Stars | 22 | 22 | 22 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | moderate | easy |
| Complexity | 1/5 | 3/5 | 1/5 |
| Audience | general | pm founder | general |
Figures from each repo's GitHub metadata at analysis time.
No installation needed if using Google Colab, local setup requires Python 3.12 plus VS Code and Git, all covered by included manuals.
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.
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.
Mainly HTML. The stack also includes Python, HTML, Google Colab.
No license information is provided in the repository materials, so usage rights are unclear.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.