Diplomado_PUCP

This public repository contains the training materials, tutorials, code, and assignments for the Intensive Python Course at PUCP. The syllabus and structure of this course was created by Carla Solis. Please, check her Python Course for further details.

I. General Information

Course name	Python Fundamentals for CCSS and Public Management
Number of Hours of Theory	18 hours
Professor	Alexander Quispe Rojas
PUCP email	[email protected]
Teaching Assistant	Anzony Quispe Rojas
Email	[email protected]

II. Abstract

The course will address the essential elements to develop programming skills with Python. In particular, the goal is to incorporate Python as a toolbox for quantitative research in the social sciences. This introduction will focus on data management and lay the foundation for training students in data science. Basic programming concepts such as data structures, defining functions, and working with essential specialized libraries for working with data, especially Numpy and Pandas, will be taught.

III. Presentation

This course is intended for social science students and professionals with no prior experience with programming languages or who have just started using statistical programs such as Stata and have found it attractive to interact with data through code. Ultimately, this course seeks to prepare students for the job market by providing highly demanded skills, which will prepare them for a first job or internship that involves data science.

IV. Learning Outcomes

The course aims to familiarize and develop with Python so that students can autonomously use data science tools in their research and future job positions. At the end of the course, students will be able to:

• Interact with Python through Jupyter notebooks and master Markdown writing.
• Write code that solves daily data analysis tasks.

V. Course Content

1. Github
2. Listas, Diccionarios, Numpy
3. Pandas
4. If condition, loop
5. Funciones and Clases I
6. Clases 2

VI. Methodology

Classes will be given synchronously using Zoom. In exploring the use of Python for data analysis, the use of databases for the social sciences will be emphasized.

VII. Evaluation

The evaluation will consist of 5 projects. The minimum grade will be deleted.

N°	Project	Weighting on Final Grade	Date	due
1	Assignment 1	20%	11/19/2023	11/24/2023
2	Assignment 2	20%	11/25/2023	12/01/2023
3	Assignment 3	20%	12/02/2023	01/08/2023
4	Assignment 4	20%	12/09/2023	12/15/2023
5	Assignment 5	20%	12/16/2023	12/22/2023

VIII. Compulsory Bibliography

This course will not have a mandatory bibliography. Python is a widely supported language with extensive documentation and a very large community that supports each other through Stack Overflow and other forums. For this reason, the class notes will be the primary reference material of the course.

IX. Schedule

Introduction to Python

Week	Date	Day	Schedule	Topic	Subtopic
1	11/18/2023	Saturday	14:00-17:00	Github	Installation Branches Repository
2	11/25/2023	Saturday	14:00-17:00	Basic Objects	Lists Dictionaries NumPy
3	12/02/2023	Saturday	14:00-17:00	Pandas	Series Indexing Importing Data Data wrangling
4	12/09/2023	Saturday	14:00-17:00	If and Loops	If condition For loop While Loop
5	12/16/2023	Saturday	14:00-17:00	Functions and Classes I	Function Definitions *args and **kwwargs _init_ Attributes and Methods
6	12/23/2023	Saturday	14:00-17:00	Classes II	Private variables Python Inheritance Exceptions

X. Complementary Bibliography

1. Matthes, E. (2016). Python crash course: A hands – on, project-based introduction to programming (2nd ed.). No Starch Press. ISBN: 9781593279288

2. McKinney, W. (2013). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media. ISBN: 9789351100065

3. VanderPlas, J. (2016). Python Data Science Handbook. O'Reilly Media. ISBN: 9781491912058

XI. Groups - Second Part

Grupo 1	Grupo 2	Grupo 3	Grupo 4	Grupo 5	Grupo 6	Grupo 7	Grupo 8	Grupo 9	Grupo 10	Grupo 11	Grupo 12	Grupo 13
ORTIZ PAREDES, CÉSAR MARCELO	CALDERON NEYRA, JOSE DANIEL	FLOREZ OKUMURA, LEONARDO ANTONIO	SORIA PEÑA, CARLOS ALFREDO	DIAZ GONZALES, EMMANUEL	TITO SANTA CRUZ, KERLY MABEL	CORDOVA GAMBOA, ANA PAOLA	ZUÑIGA ROMERO, ADRIANA VIOLETA	MIÑAN SANCHEZ, LUIS FERNANDO	QUISPE MACAVILCA, LUIS CLAUDIO	RAMIREZ DE LA CRUZ, KELLY GUADALUPE	BENITES GARNIQUE, JOSUE MARCIAL	MONTJOY PITA, DANIEL GERAY
CHINCHAY HABICH, FIORELLA ALEXANDRA	PINCHI MOREY, CINTHYA VALERIA	MORRO MUÑOZ, AURI W	MOLLA LEON, WALTER	ALARCON GUTIERREZ, EDUARDO BASILIO	MEZA VASQUEZ, MILAGROS	GAVILAN CASTAÑEDA, MAYRA ALEXANDRA	PLASENCIA CUSTODIO, CLAUDIA JIMENA	HUAMAN GARCIA, YANELL VALERYN	VENERO ACURIO, MARIA DEL CARMEN	ZAPATA ROJAS, ALVARO DANTE	SUAREZ PATILONGO, MICHAEL SALVADOR	VISURRAGA RODIL, JOEL ANDRE
RAMIREZ GOMERO, VIVIAN RUTH	HERRERA ALCOCER, MARIA INES	HUAMAN LOAYZA, GUIDO	CAJAS FALCÓN, ALONDRA NICOLE	ABURTO CAMACLLANQUI, ELÍAS	REYNA NIEVA, GINO SALVATTORE	RIVAS SU, JUAN DIEGO	ECHEVARRIA CARHUANCHO, FRANCISCO ANDRES	PASAPERA OROZCO, OSMAN ALDER	DELGADO DIAZ, DIEGO GONZALO	REMUZGO MELENDEZ, CARMEN ELIZABETH	SILVA ZARATE, CECILIA ISAI	SALAZAR RODRIGUEZ, MATTIAS GUSTAVO
MENCHOLA GUERRERO, JULISSA ELENA	SÁNCHEZ PRIETO, FERNANDO ALONSO	TOLEDO RENGIFO, NURIA	PANDO PILCO, MARTIN DE JESUS	SANTANDER ALVA, DANIELA	ARISTA APARI, SERGHI GIANFRANCO	AVILES ELIAS, GABRIEL MARCIAL	VERA ROMAN, JOSSELYNE ANTUANE	FLORES GOICOCHEA, DANIELA SOFIA	CANELO CASTILLO, GONZALO ANDRES	VELAZCO MUÑOZ, ANAMILE	TORREJON MAGUIÑA, CLAUDIA FIORELLA	RIVAS MADUEÑO, MAURICIO RICARDO

X. Website

Video tutorials

1. https://www.youtube.com/watch?v=zyGfECfJ9BY
2. https://www.youtube.com/watch?v=K5xImVmm2Ds

Templates

1. https://bootstrapmade.com/bootstrap-portfolio-templates/
2. https://cssauthor.com/free-bootstrap-portfolio-templates/

XI. Office Hours

Anzony: Wednesdays 8:00-10:00pm. Use this link.