This public repository contains the training materials, tutorials, code, and assignments for the Training Course in Python Fundamentals for Social Sciences and Public Management at QLAB.
| Course name | Python Fundamentals for Macroeconomics |
| Number of Hours of Theory | 24 hours |
| Professor | Alexander Quispe Rojas |
| PUCP email | alexander.quispe@pucp.edu.pe |
This course is designed to provide a fundamental understanding of the Python programming language. It is intended for students with little or no programming experience who are interested in learning Python for data analysis, scientific computing, web development, or any other application. The course will cover the basics of Python syntax and semantics, as well as more advanced concepts such as object-oriented programming and functional programming.
This course is intended for college students interested in learning Python for a variety of applications, including data analysis, scientific computing, and web development. It is also suitable for professionals who want to learn Python as a tool for their work.
- Learn how to use GitHub and potentially create your Academic/Tech website.
- Understand basic programming concepts such as variables, functions, loops, and conditionals.
- Write simple Python programs to solve problems
- Understand and use Python data types, including lists, dictionaries, and tuples
- Use Python libraries and modules to perform tasks like data analysis and scientific computing
- Understand and apply object-oriented and functional programming concepts in Python
- Use Python to Interact with Web APIs and Scrape Web Pages
Classes will be given synchronously via Zoom. While exploring the use of Python for data analysis, the use of databases for the social sciences will be emphasized.
The evaluation consists of a final work at the end of the course.
| Nº | Type of evaluation | Weighting on Final Grade |
|---|---|---|
| 8 | 4 evaluations | 80% |
| 1 | Final project | 20% |
- "Python for Data Science Handbook" by Jake VanderPlas (O'Reilly, 2017)
- "Python Crash Course" by Eric Matthes (No Starch Press, 2015)
- "Python for Everyone" by Horstmann and Reed (Wiley, 2015)
- Stackoverflow
| Week | Date | Day | Schedule | Topic | Subtopic |
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| 1 | 01/03/2024 | 08:00-11:00 | Github - Basic Objects |
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| 2 | 01/05/2024 | 08:00-11:00 | Pandas |
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| 3 | 01/08/2024 | 08:00-11:00 | Control Structures, Functions and Classes |
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| 4 | 01/10/2024 | 08:00-11:30 | Web Scrapping |
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| 5 | 01/12/2024 | 08:00-11:30 | Web Scrapping |
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| 6 | 01/15/2024 | 08:00-11:30 | API |
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| 7 | 01/17/2024 | 08:00-11:30 | Visualization |
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| 8 | 01/19/2024 | 08:00-11:30 | NLP |
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| Group1 | Group2 | Group3 | Group4 | Group5 | Group6 | Group7 | Group8 |
|---|---|---|---|---|---|---|---|
| SALMÓN SALAZAR, GISELLA VELDA | BELAPATIÑO DOMINGUEZ, NATHALY RUTH | QUEQUEJANA MELO, LAURA SOPHIA | ARRELUCEA SUAREZ, ANDREA MIRANDA | ORE PRIETO, EDUARDO JOSUE | BOLIVAR ESPINOZA, CARELLIA DALESKA | ALZAMORA ESPINOZA, PAOLA FERNANDA | HURTADO YANTAS, HANS CRISTIAN |
| PICHIHUA VEGAS, SOFIA PAMELA | ERQUIAGA SALGADO, MARCO ANTONIO | AGUIRRE BLAS, DAVIES ANDERS | VERA MARQUINA, CLAUDIA ESTEFANIA | QUISPE HURTADO, KATIA LUCERO | MONTES CARRILLO, ALLISON SILVIA | GONZALES CENTENO, JULIA GISELLE | REYES COLQUEPISCO, VALERIA ELIZABETH |
| DE LA FUENTE CHUNGA, HECTOR HUGO | SERVAN MACEDO, DANIEL ALONSO | JUAREZ REYNA, MARIEL ALEJANDRA | DU PONT GONZALES, DIEGO ALEXANDER | ARGOMEDO PIMINCHUMO, PAMELA ALEXANDRA | ZEVALLOS MENDEZ, AARON ALONSO | AMARO YALTA, HILLARY ESTEFANY | NARVAEZ LEYVA, GABRIELA MARIE |
| PAREDES CHAVEZ, PABLO CRISTIAN | MORI LLACCTAS, JUAN ANTONIO | AZAÑEDO GAMARRA, VANESSA ALESSANDRA | TICONA CENTENO, KATTY BERENICE | JAUREGUI VERA, ANA BRIGITTE | QUENAYA DE LA CRUZ, FAVIO MARCELO | GONZALES SILVANO, JOSE LUIS | |
| LOAYZA EVANGELISTA, MIGUEL ANGEL | GARCIA VERGARA, GABRIELA | PINARES ORDINOLA, EMILY ROSE | TELLO ESCOBAR, RONALD ALBERTO | CORDOVA CALLE, EHZER HADID | VASQUEZ VILCA, JOE ANDRE |
- Video tutorials
- Templates