alexanderquispe / qlab_summer_python

This is an introduction of Python

Diplomado_Verano

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.

I. General Information

Course name	Python Fundamentals for Macroeconomics
Number of Hours of Theory	16 hours
Professor	Alexander Quispe Rojas
PUCP email	[email protected]

II. Abstract

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.

III. Presentation

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.

IV. Learning Outcomes

1. Learn how to use GitHub and potentially create your Academic/Tech website.
2. Understand basic programming concepts such as variables, functions, loops, and conditionals.
3. Write simple Python programs to solve problems
4. Understand and use Python data types, including lists, dictionaries, and tuples
5. Use Python libraries and modules to perform tasks like data analysis and scientific computing
6. Understand and apply object-oriented and functional programming concepts in Python
7. Use Python to Interact with Web APIs and Scrape Web Pages

V. Methodology

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.

VI. Evaluation

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%

VII. Compulsory Bibliography

1. "Python for Data Science Handbook" by Jake VanderPlas (O'Reilly, 2017)
2. "Python Crash Course" by Eric Matthes (No Starch Press, 2015)
3. "Python for Everyone" by Horstmann and Reed (Wiley, 2015)
4. Stackoverflow

VIII. Schedule

Week	Date	Day	Schedule	Topic	Subtopic
1	01/03/2024	Wednesday	08:00-11:00	Github - Basic Objects	Installation Branches Repository Lists Dictionaries NumPy
2	01/05/2025	Friday	08:00-11:00	Pandas	Series Indexing Importing Data Data wrangling
3	01/08/2024	Monday	08:00-11:00	Control Structures, Functions and Classes	If condition For loop While Loop Function Definitions *args and **kwwargs _init_ Attributes and Methods
4	01/10/2024	Wednesday	08:00-11:30	APIs	Google Directions Geolocation Finance APIs
5	01/12/2024	Friday	08:00-11:30	NLP	GPT-4 Transformers

IX. Groups

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

X. Website

1. Video tutorials

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

2. Templates

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

qlab_summer_python's Issues

Final_Project_Website

Hola a tod@s,
El proyecto final pesa 20% del curso. Para esto deben realizar lo siguiente:

1. Deben crear un website que tenga como host a Github. Adjunto los videos que hemos creado para que peudan guiarse y así crear su website enlazado a github.
   https://www.youtube.com/watch?v=zyGfECfJ9BY (Sandra Martinez)
   https://www.youtube.com/watch?v=K5xImVmm2Ds (Valeria Albarracín)
   Porfa si pueden le dan manito arriba y dejan sus comentarios :)

2. Deben crear un video de dos minutos donde presentan su website, tienen que imaginarse que están en una entrevista de trabajo y quieren convencer al reclutador(que en este caso soy yo.)
   Acá les dejo un ejemplo para el video

En este excel hay dos columnas

• Link_website - pegaran en su celda el link de su website
• Video - pegaran en su celda el link del video (pueden grabarlo en youtube, drive, o en cualquier plataforma. El punto es que yo solo dando click debo ser capaz de ver el video sin necesidad de solicitar autorización)

Deadline 05/03/2023

Assignment_5

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_5.

2. Each group must create their branch named group_#_ass_5_2024 (group_1_ass_5_2024) and save their results in the Assignment_4 folder. Name your JN like your branch.

We want an excel file with all the available presidential elections in thiswebpage.
This is an example for Presidencial 2021 - 2DA vuelta

Go to Candidatos y Resultados

Get this table

Do the same for all the options available here

The final excel should have these 3 columns. Take as example

Elecciones	ORGANIZACIÓN POLÍTICA	TOTAL VOTOS
PRESIDENCIAL 2021 - 2DA VUELTA	PARTIDO POLITICO NACIONAL PERU LIBRE	8,836,380

4. Your Pull request should be linked to this issue.
5. All the questions about the assignment should be posted in this issue.
6. Follow the same procedure as in the previous assignment. Only the RM (Repository Maintainer) should do the final merge. Since, most of you will divide the work, the RP should make a summary of the work done by each member as a final comment before merging your work to the main branch. For the rest of the members be very explicit and detailed when you comment your work. Take this assignment as a simulacro of real work.
7. The RP is the lead of all the assignments and will be the same during the entire course. If any member does not work, we should be able to see it clearly in the RP's comments and in the branch's commit history.
8. If we do not see any commit of a member, we will consider that it did not work and will not be graded and get 0 automatically.

Deadline: 01/16/24 - 11:59am

Assignment_1

Please each member has to choose a datase, add the information that this cointains and the interest for this one.

Intenta editar

@FernandoTem

group _8 task

list of databases

Assignment_1

Please each member has to choose a datase, add the information that this cointains and the interest for this one.

Agregar correo electronico a Mardown "group_3_ass_1_2024_task1"

Hola @Luci8as,

Debido a que completaste el texto del archivo tarea 1, ahora te solicito agregar tu correo electrónico al costado de tu nombre en el mismo archivo, de esta forma:
2. Lucia (correo electrónico)

gracias.

Assignment_2

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_2.
2. Each group must create their branch named group_#_ass_2_2024 (group_1_ass_2_2024) and save their results in the Assignment_2 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
   4. Deadline: 01/06/24 - 23:59

Add your information in the assignment

please add the information as soon as possible

Assignment_4

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_4.
2. Each group must create their branch named group_#_ass_2_2023 (group_1_ass_4_2023) and save their results in the Assignment_4 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
5. Deadline: 02/15/23 - 18:00

Assignment_1

Dear all,

The groups have been generated and you can see in the readme file of this repository.

The task is to create an markdown file where each member must place a list of databases that they would like to work with and the description of that dataset. These are the steps you must follow to complete the task:

1. You must to select a member of your group to be the one who will review the codes of all the members (repo maintainer).

2. The repo maintainer must create the branch named group_#_ass_1_2024_task1 (group_1_ass_1_2024_task1) and save their markdown in the Assignment_1 folder. Name your Markdown file like your branch (group_#_ass_1_2024_task1).

3. Each member has to write his text. For example:

4. Alexander
   a. Database: Nexus Ministry of Education
   b. Information: Data about teachers at the kinder, primary, and secondary levels for the years 2015-2023
   c. Interest: I would like to study information on teacher migration within Peru - or any other general idea about a possible research question.

5. Then, the member should request a review of its commits. The repo maintainer should request to add the email of the member next to its name. This process should be repeated for all the members but the repo maintainer. For example:

6. Alexander - [email protected]
   a. Database: Nexus Ministry of Education
   b. Information: Data about teachers at the kinder, primary, and secondary levels for the years 2015-2023
   c. Interest: I would like to study information on teacher migration within Peru - or any other general idea about a possible research question.

7. Finally, the repo maintainer and only the repo maintainer should merge the branch to the main branch when all the members finished their task.
   It will be graded how you procedure in each step.

Additionally, you must answer the questions in the following Jupyter Notebook (JN) named as Assignment_2.
Follow the same procedure as in the previous task to upload your branch.

1. Each group must create their branch named group_#_ass_1_2024_task2 (group_1_ass_1_2024_task2) and save their results in the Assignment_1 folder. Name your JN like your branch.

And don't forget that your Pull request should be linked to this issue.
Deadline: 01/05/24 16:00pm.

Assignment_4

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_4.
2. Each group must create their branch named group_#_ass_4_2024 (group_1_ass_4_2024) and save their results in the Assignment_4 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
5. Follow the same procedure as in the previous assignment. Only the RM (Repository Maintainer) should do the final merge. Since, most of you will divide the work, the RP should make a summary of the work done by each member as a final comment before merging your work to the main branch. For the rest of the members be very explicit and detailed when you comment your work. Take this assignment as a simulacro of real work.
6. The RP is the lead of all the assignments and will be the same during the entire course. If any member does not work, we should be able to see it clearly in the RP's comments and in the branch's commit history.
7. If we do not see any commit of a member, we will consider that it did not work and will not be graded and get 0 automatically.

Deadline: 01/13/24 - 11:59am

add two more songs

Please add two more songs in the readme file

Add your information in "group_6_ass_1_2024_task1.md"

please add the information as soon as possible

Assignment_5

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_5.
2. Each group must create their branch named group_#_ass_5_2022 (group_1_ass_5_2022) and save their results in the Assignment_5 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
5. Deadline 01/03/2023 18:00.

Assignment 3

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_3.
2. Each group must create their branch named group_#_ass_3_2024 (group_1_ass_3_2024) and save their results in the Assignment_3 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
   4. Deadline: 01/10/24 - 10:00am

#8 group_8_ass_1_2024

group_leidyMezarina_ass_1_2024_task1

Add information

Assignment_3

Dear all,

1. Follow the instructions in the Jupyter Notebook (JN) named as Assignment_3.
2. Each group must create their branch named group_#_ass_3_2023 (group_1_ass_3_2023) and save their results in the Assignment_3 folder. Name your JN like your branch.
3. Your Pull request should be linked to this issue.
4. All the questions about the assignment should be posted in this issue.
5. Deadline: 02/01/23 - 18:00

Add your information in assigment1