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 Bussiness |
| 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 |
|---|---|---|
| 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 | 01/04/2024 | Thursday | 18:00-21:00 | Github - Basic Objects |
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| 2 | 01/06/2024 | Saturday | 08:30-12:00 | Pandas |
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| 3 | 01/09/2024 | Tuesday | 18:00-21:00 | Control Structures, Functions and Classes |
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| 4 | 01/11/2024 | Thursday | 18:00-21:00 | APIs |
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| 5 | 01/13/2024 | Saturday | 08:30:-12:00 | NLP |
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| Group1 | Group2 | Group3 | Group4 | Group5 | Group6 | Group7 | Group8 | Group9 |
|---|---|---|---|---|---|---|---|---|
| ROSAS ROJAS, ALEXANDRA MILUSKA | VERGARA GUZMAN, VANESSA MARNYE | RAMOS CRUZ, KATHERINE DAJHANNA | HUACCHA MENDEZ, ANGIE ROSARIO | MUÑOZ ROSADIO, NATALY KAHLIL | SANDOVAL SILVA, ALEJANDRO JESUS | ACERO HILARES, ANDREA ALESSANDRA | CALDERON GONZALES, JOE ADRIAN | QUILCATE CASTAÑEDA, CAMILA |
| VASQUEZ MEDINA, DANIEL ANGEL | TORRES OCAMPO, ARIEL YVONNE | HUANAMBAL BEJAR, IGOR | DE LA CRUZ CUEVA, REBECA KYARA ABIGAIL | RIOS VALDIVIA, YTTAN SEBASTIAN | BOCANEGRA MORALES, CRISTIAN OMAR | RUA ZARATE, DYLAN ARIAM | BRAVO TAVERA, MADISON NICOLE | CENTENO CUCCHE, LUIGGI JOAQUIN JUDA |
| PEREZ PUMA, ADHERLY RICARDO | COLQUI CONTRERAS, GIANNA NICOLE | VERGARA MACCHIAVELLO, RODRIGO MARTIN | LOPEZ ALVARADO, ANTONELLA PATRICIA | MARTINEZ GUTIERREZ, GUSTAVO JAVIER | DAVILA ROMERO, CAMILA DANIELA | CALLE PALACIOS, ANDRES DANIEL | RENDON FLORES, MIRELLA SOFIA | GAMBOA SANCHEZ, BRIYITT JHOMARA |
| CHIO VASQUEZ, LUIS ENRIQUE | QUEZADA LOPEZ, NICOLE MELANIE | CALDERON VILCA, ZULEIKA DEL ROSARIO | RODRIGUEZ GONZALES, RODRIGO GUILLERMO | ORIHUELA NUÑEZ, ELISANGELA ESTRELLA | VASQUEZ SANCHEZ, GUILLERMO GABRIEL ALONSO | REYNOSO ESPINOZA, DEIVIT WILFREDO | ROCCA DURAND, GIANELLA ALESSANDRA |
- Video tutorials
- Templates