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 | 16 hours |
| Professor | Alexander Quispe Rojas |
| PUCP email | [email protected] |
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 |
|---|---|---|---|---|---|
| 1 | 01/03/2024 | Wednesday | 08:00-11:00 | Github - Basic Objects |
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| 2 | 01/05/2025 | Friday | 08:00-11:00 | Pandas |
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| 3 | 01/08/2024 | Monday | 08:00-11:00 | Control Structures, Functions and Classes |
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| 4 | 01/10/2024 | Wednesday | 08:00-11:30 | APIs |
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| 5 | 01/12/2024 | Friday | 08:00-11:30 | NLP |
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| group1 | group2 | group3 | group4 | group5 | group6 | group7 | group8 |
|---|---|---|---|---|---|---|---|
| RUBEN ROJAS AYALA | JOSE MIGUEL POEMAPE COSANATAN | CHE VICTOR TORRES LOPEZ | ABRAHAM ALBERTH CALDERON CANICOBA | GIORDANO ALAIN MEDINA MONTES | ISMAEL BARUJ GONZALES REVILLA | ILENIA ALEJANDRA TTITO COLLANTES | NICOLAS ALBERTO VELARDE FREUNDT |
| DANIEL MAX RAMIREZ CHAVEZ | JHUNNIOR STEVENS SAENZ ALTAMIRANO | FERNANDO CARLOS TEMPLO VIENA | DIEGO FERNANDO GUTIERREZ PARREÑO | ANGIE ZOILA ABAD ALVARADO | CARLOS EDUARDO BORJA SOTOMAYOR | JAMES CARLOS MEDINA VANINI | FERNANDO MIGUEL MENDOZA CANAL |
| JOSUE ALBERTO RICAPA SANCHEZ | GONZALO JESUS ORMEÑO MARREROS | CARLOS RODRIGO MENDOZA GOMEZ | SILVANA SHANTAL BLANCO ATAU | JUAN DIEGO LINARES JAIME | ALEXANDER SEBASTIAN ESPINOZA COLCA | RAFAEL ANTONIO VARGAS PORTOCARRERO | ALVARO FRANCO GAMONAL MIRANDA |
| ALESSANDRO DEL PIERO BURGOS CAMPOMANEZ | ARMANDO JAVIER PINEDA ALIAGA | DANIELA LUCIA OCHOA SALAS | ANTHONY PEDRO MAMANI NAVARRO | MARILIA ARIZAPANA HINOSTROZA | JOSE MARIA SEBASTIAN TAMAYO MARTINEZ | ANA LUCIA DEL RIO SANTOS | MARICIELO MEZARINA |
- Video tutorials
- Templates