Share information data we would like to study.

Por favor, colocar la información sobre la base de datos que quieren trabajar con el siguiente formato:

"Nombre"
a. Base de datos:
b. Información:
c. Interés:

Hola chicos! porfi agreguen su información sobre la base de datos que quieren tratar

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.
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: 01/14/24 - 11:59am

In this space, we'll share data for our studie

Hi! guys please resolve the homework 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.
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.
   All the assignments should be done in group. The group should present only one file in the main branhc. It will not be graded files in other branches different than the main branch.
   Deadline: 01/09/24 - 11:59am

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: 01/15/24 - 11:59am

Hola chicos porfa aqui colocar las respuestas de la tarea 3.

Please, complete the assiggment 4

README.md

group_6_ass_2_2024

1.1 Tuple

1. To access the first element, I used "[1]" and to access element 0 of the first element, I used "[0]"

tuple1 = ("Orange", [10, 20, 30], (5, 15, 25))
print(tuple1[1][0])

10

2. To access the last item, I used [2] for selecting location

tuple1 = ("Orange", [10, 20, 30], (5, 15, 25))
print(tuple1[2])

(5, 15, 25)

3. We change the word "Orange" replacing it with "pink grapefruit". In this case, it is posisble to replace the elements of the tuple1, because we are just renaming the composition of the first item of the tuple1 and keeping the rest items.

tuple1 = ("Orange", [10, 20, 30], (5, 15, 25))
tuple1 = ("pink grapefruit", [10, 20, 30], (5, 15, 25))
print(tuple1)

('pink grapefruit', [10, 20, 30], (5, 15, 25))

4. We apply the "Len" function to calculate the number of items

len(tuple1)
3

5. We use "map" to apply the sum list function to each sublist in tuple2

tuple2 = ([7, 8], [9, 1], [10, 7])
X = sum(map(sum, tuple2))
print(X)

42

6. We use "map" to apply the sum list function to each sublist in tuple3 but first, we need to find the half values of tuple2

tuple3 = ([3.5, 4], [4.5, 0.5], [5, 3.5])
y= sum(map(sum , tuple3))
print(y)

21

1.2 List

1. Show the indices of the np.nan values in the f_list list. We want to see this output: The indices 0, 1, 4, 7 have np.nan values. Hint: Use print function and f-strings to insert the indices values.

nan_indices = [index for index, val in enumerate(f_list) if isinstance(val, float) and np.isnan(val)]
print(f"The indices {', '.join(map(str, nan_indices))} have np.nan values.")

The indices 0, 1, 4, 7 have np.nan values.

2. Replicate 4 times the values of the list p2_list. We expect an ouput like this: [ 2 , 3, 4, 5, 2 , 3, 4, 5, 2 , 3, 4, 5, 2 , 3, 4, 5]

p2_list = [2, 3, 4, 5]
replicated = p2_list * 4
print(replicated)

[2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5, 2, 3, 4, 5]

3. Print the length of f_list.

print("f_list", len(f_list))

f_list 8

4. Print My teacher assistant is so boring. using text1 list.

text1 = ['My', 'teacher', 'assistant', 'is', 'so', 'boring.']
string = ' '.join(text1)
print(string)

My teacher assistant is so boring.

5. Print My TA is so boring, but is very funny. using text1 list.

text1.extend(['but', 'is', 'very', 'funny.'])
print(' '.join(text1))

My teacher assistant is so boring. but is very funny.

6. Print The max value of values1 is 86 and is located in the 0 index.

The min value of values1 is 0 and is located in the 7 index.

text1.extend(['but', 'is', 'very', 'funny.'])
print(' '.join(text1))

7. Get two lists: names and last_names using last_and_name list.

last_and_name = [ "CORNEJO SANCHEZ, CHRISTIAN SANTOS", "ORELLANA QUISPE, CRISTIAN NASSER", "MORALES CHOQUEHUANCA, ANGELICA KARINA", "GUIMARAY RIBEYRO, JOSE ROBERTO", "CAMACHO GAVIDIA, ABEL FERNANDO", "TINTAYA ORIHUELA, MEIR ALVARO", "CHAVEZ MARTINEZ, JOSELIN ALEXANDRA", "FIGUEROA MURO, LEONEL ARTURO", "GOMEZ CRIBILLERO, JOSE FELIPE", "PALOMINO SEGUÍN, AFRANIA", "LUZON CUEVA, BIANCA MARIETTE", "SUAÑA ZEGARRA, ADRIAN ANDRE", "SOTO POMACHAGUA, DORKAS YOMIRA JHERMY", "FIORENTINO MARTINEZ, LADY ALY", "LAMA MAVILA, HECTOR ANDRE", "MEZA HINOJO, GUSTAVO", "LOZADA MURILLO, PERSEO MARCELO", "ZAMBRANO JIMENEZ, MIGUEL ALONZO", "JACOBS LUQUE, NICOLAS", "VIDAL VIDAL, ROCIO GABRIELA", "TORRES ANICAMA, JANE CAMILA", "LOPEZ ESTRADA, MARIA ELISA", "BOYCO ORAMS, ALEJANDRO", "DIAZ BERROSPI, KARLINE ROSMELI", "RIEGA ESCALANTE, STEPHY ROSARIO", "LEVANO TORRES, VALERIA CECILIA", "ESQUIVES BRAVO, SEBASTIAN RENATO", "PEREZ GONZALES, JUAN CARLOS", "OTERO MAGUIÑA, MARIANA", "CLAVO CAMPOS, ANDREA BRIZETH", "AGUILAR GARCIA, ERICK JOSUE", "CALDAS VELASQUEZ, JOSUE DANIEL", "SALAS NUÑEZ BORJA, FABIO MANUEL", "PIZARRO VILLANES, FERNANDA NICOLLE", "QUILLATUPA MORALES, ANGELA ADELINA", "HUANCAYA IDONE, CESAR DANTE", "CALVO PORTOCARRERO, GABRIELA ISABEL", "IBAÑEZ ABANTO, ANGEL MAURICIO", "MELÉNDEZ APONTE, JUAN DIEGO", "CRISTIAN SERRANO, ARONE", "HINOJOSA CAHUANA, PERCY ALBERTH", "ANGLAS GARCÍA, KEVIN ARTURO", "ALDAVE ACOSTA, CESAR ERNESTO", "NÚÑEZ HUAMÁN, CÉSAR AGUSTO", "OBREGON HUAMAN, DIANA EDITH", "SOTO PACHERRES, RODRIGO FRANCO", "INGARUCA RIVERA, GRETTEL ALEXANDRA", "ROJAS HUAMAN, ROSA ANGELA", "NEYRA SALAS, DANTE OMAR", "HUERTA ESPINOZA, YAJAIRA ALEXANDRA", "HUANCA MARTINEZ, JORGE ALBERTO", "FLORES CADILLO, ALEXIS" ]
names = list(map(lambda full_name: full_name.split(',')[1].lstrip(), last_and_name))
print("Names:", names)

Names: ['CHRISTIAN SANTOS', 'CRISTIAN NASSER', 'ANGELICA KARINA', 'JOSE ROBERTO', 'ABEL FERNANDO', 'MEIR ALVARO', 'JOSELIN ALEXANDRA', 'LEONEL ARTURO', 'JOSE FELIPE', 'AFRANIA', 'BIANCA MARIETTE', 'ADRIAN ANDRE', 'DORKAS YOMIRA JHERMY', 'LADY ALY', 'HECTOR ANDRE', 'GUSTAVO', 'PERSEO MARCELO', 'MIGUEL ALONZO', 'NICOLAS', 'ROCIO GABRIELA', 'JANE CAMILA', 'MARIA ELISA', 'ALEJANDRO', 'KARLINE ROSMELI', 'STEPHY ROSARIO', 'VALERIA CECILIA', 'SEBASTIAN RENATO', 'JUAN CARLOS', 'MARIANA', 'ANDREA BRIZETH', 'ERICK JOSUE', 'JOSUE DANIEL', 'FABIO MANUEL', 'FERNANDA NICOLLE', 'ANGELA ADELINA', 'CESAR DANTE', 'GABRIELA ISABEL', 'ANGEL MAURICIO', 'JUAN DIEGO', 'ARONE', 'PERCY ALBERTH', 'KEVIN ARTURO', 'CESAR ERNESTO', 'CÉSAR AGUSTO', 'DIANA EDITH', 'RODRIGO FRANCO', 'GRETTEL ALEXANDRA', 'ROSA ANGELA', 'DANTE OMAR', 'YAJAIRA ALEXANDRA', 'JORGE ALBERTO', 'ALEXIS']

last_names = list(map(lambda full_name: full_name.split(',')[0], last_and_name))
print("Last Names:", last_names)

Last Names: ['CORNEJO SANCHEZ', 'ORELLANA QUISPE', 'MORALES CHOQUEHUANCA', 'GUIMARAY RIBEYRO', 'CAMACHO GAVIDIA', 'TINTAYA ORIHUELA', 'CHAVEZ MARTINEZ', 'FIGUEROA MURO', 'GOMEZ CRIBILLERO', 'PALOMINO SEGUÍN', 'LUZON CUEVA', 'SUAÑA ZEGARRA', 'SOTO POMACHAGUA', 'FIORENTINO MARTINEZ', 'LAMA MAVILA', 'MEZA HINOJO', 'LOZADA MURILLO', 'ZAMBRANO JIMENEZ', 'JACOBS LUQUE', 'VIDAL VIDAL', 'TORRES ANICAMA', 'LOPEZ ESTRADA', 'BOYCO ORAMS', 'DIAZ BERROSPI', 'RIEGA ESCALANTE', 'LEVANO TORRES', 'ESQUIVES BRAVO', 'PEREZ GONZALES', 'OTERO MAGUIÑA', 'CLAVO CAMPOS', 'AGUILAR GARCIA', 'CALDAS VELASQUEZ', 'SALAS NUÑEZ BORJA', 'PIZARRO VILLANES', 'QUILLATUPA MORALES', 'HUANCAYA IDONE', 'CALVO PORTOCARRERO', 'IBAÑEZ ABANTO', 'MELÉNDEZ APONTE', 'CRISTIAN SERRANO', 'HINOJOSA CAHUANA', 'ANGLAS GARCÍA', 'ALDAVE ACOSTA', 'NÚÑEZ HUAMÁN', 'OBREGON HUAMAN', 'SOTO PACHERRES', 'INGARUCA RIVERA', 'ROJAS HUAMAN', 'NEYRA SALAS', 'HUERTA ESPINOZA', 'HUANCA MARTINEZ', 'FLORES CADILLO']

8. Give only the last names of students who do not have email. Use the emails and last_names list.

last_and_name = [ "CORNEJO SANCHEZ, CHRISTIAN SANTOS", "ORELLANA QUISPE, CRISTIAN NASSER", "MORALES CHOQUEHUANCA, ANGELICA KARINA", "GUIMARAY RIBEYRO, JOSE ROBERTO", "CAMACHO GAVIDIA, ABEL FERNANDO", "TINTAYA ORIHUELA, MEIR ALVARO", "CHAVEZ MARTINEZ, JOSELIN ALEXANDRA", "FIGUEROA MURO, LEONEL ARTURO", "GOMEZ CRIBILLERO, JOSE FELIPE", "PALOMINO SEGUÍN, AFRANIA", "LUZON CUEVA, BIANCA MARIETTE", "SUAÑA ZEGARRA, ADRIAN ANDRE", "SOTO POMACHAGUA, DORKAS YOMIRA JHERMY", "FIORENTINO MARTINEZ, LADY ALY", "LAMA MAVILA, HECTOR ANDRE", "MEZA HINOJO, GUSTAVO", "LOZADA MURILLO, PERSEO MARCELO", "ZAMBRANO JIMENEZ, MIGUEL ALONZO", "JACOBS LUQUE, NICOLAS", "VIDAL VIDAL, ROCIO GABRIELA", "TORRES ANICAMA, JANE CAMILA", "LOPEZ ESTRADA, MARIA ELISA", "BOYCO ORAMS, ALEJANDRO", "DIAZ BERROSPI, KARLINE ROSMELI", "RIEGA ESCALANTE, STEPHY ROSARIO", "LEVANO TORRES, VALERIA CECILIA", "ESQUIVES BRAVO, SEBASTIAN RENATO", "PEREZ GONZALES, JUAN CARLOS", "OTERO MAGUIÑA, MARIANA", "CLAVO CAMPOS, ANDREA BRIZETH", "AGUILAR GARCIA, ERICK JOSUE", "CALDAS VELASQUEZ, JOSUE DANIEL", "SALAS NUÑEZ BORJA, FABIO MANUEL", "PIZARRO VILLANES, FERNANDA NICOLLE", "QUILLATUPA MORALES, ANGELA ADELINA", "HUANCAYA IDONE, CESAR DANTE", "CALVO PORTOCARRERO, GABRIELA ISABEL", "IBAÑEZ ABANTO, ANGEL MAURICIO", "MELÉNDEZ APONTE, JUAN DIEGO", "CRISTIAN SERRANO, ARONE", "HINOJOSA CAHUANA, PERCY ALBERTH", "ANGLAS GARCÍA, KEVIN ARTURO", "ALDAVE ACOSTA, CESAR ERNESTO", "NÚÑEZ HUAMÁN, CÉSAR AGUSTO", "OBREGON HUAMAN, DIANA EDITH", "SOTO PACHERRES, RODRIGO FRANCO", "INGARUCA RIVERA, GRETTEL ALEXANDRA", "ROJAS HUAMAN, ROSA ANGELA", "NEYRA SALAS, DANTE OMAR", "HUERTA ESPINOZA, YAJAIRA ALEXANDRA", "HUANCA MARTINEZ, JORGE ALBERTO", "FLORES CADILLO, ALEXIS" ]
emails = ["[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "", "", "", "", "", "[email protected]", "", "", "", "", "", "", "", "", "", "", "[email protected]", ]
last_names = list(map(lambda full_name: full_name.split(',')[0], last_and_name))
combined_data = zip(last_names, emails)
last_names_no_email = [last_name for last_name, email in combined_data if email == '']
print("Last Names of Students without Email:", last_names_no_email)

Last Names of Students without Email: ['HUANCAYA IDONE', 'CALVO PORTOCARRERO', 'IBAÑEZ ABANTO', 'MELÉNDEZ APONTE', 'CRISTIAN SERRANO', 'ANGLAS GARCÍA', 'ALDAVE ACOSTA', 'NÚÑEZ HUAMÁN', 'OBREGON HUAMAN', 'SOTO PACHERRES', 'INGARUCA RIVERA', 'ROJAS HUAMAN', 'NEYRA SALAS', 'HUERTA ESPINOZA', 'HUANCA MARTINEZ']

1.3 Strings

1. Separate the words from str1 using the split method

  Join the words of Str1 with the join function
  Results are displayed with print

str1 = 'I am too old'
words = str1.split()
x = ' '.join(words)
print(x)

I am too old

2. To count the letters of str1, the 'len' function is used on the X created previously

len(x)
12

3. First we place the name blank spaces, then the .count formula that allows us to calculate the number of spaces in a certain section

Blank_spaces = str1.count(' ')
print(Blank_spaces)
85

len(str1) - len(x) -3
79

4. This code creates a list named positions by mapping the positions of the '@' symbol in each email address from the given emails list using the find('@') method. The resulting list, positions, holds the corresponding indices of the '@' symbol in each email address.

emails = ["[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]"]
positions = list(map(lambda email: email.find('@'), emails))

print(positions)
[9, 11, 14, 9, 12, 8, 14, 9, 8, 16, 12, 13, 6, 9, 10, 12, 8, 11, 14, 6, 11, 7, 15, 9, 12, 8, 9, 11, 13, 6, 9, 12, 11, 16, 11]

5. This code creates a list named X using the map function and a lambda function. Each element in X corresponds to whether the substring ".edu." is present in the corresponding email address from the given emails list. The resulting list, X, contains Boolean values indicating the presence or absence of ".edu." in each email address.

emails = ["[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]"]
X = list(map(lambda x: ".edu." in x, emails))

print(X)
[True, True, True, False, False, True, True, False, False, False, False, False, True, False, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, False]

6. The output is a list of lists, where each inner list includes the user part and a Boolean value indicating the presence of '@' in that user part. It's worth noting that the user extraction logic assumes a single dot before the domain and that the '@' symbol is always present in the user part.

emails = ["[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]", "[email protected]"]

positions = list(map(lambda email: email.find('@'), emails))

X = list(map(lambda x: ".edu." in x, emails))

users = []
for email in emails:
user = email[:email.find(".")]
has_at = "@" in user
users.append([user, has_at])

print(users)

[['cscornejo@pucp', True], ['orellana', False], ['karina', False], ['a20083223@pucp', True], ['abel', False], ['mtintaya@pucp', True], ['joselin', False], ['a20105737@pucp', True], ['jfgomezc@pucp', True], ['afrania', False], ['luzon', False], ['adrian', False], ['soto', False], ['a20132766@pucp', True], ['andre', False], ['gustavo', False], ['pmlozada@pucp', True], ['m', False], ['nicolas', False], ['gvidal@pucp', True], ['jane', False], ['m', False], ['alejandro', False], ['a20167070@pucp', True], ['riega', False], ['vlevanot@pucp', True], ['sesquives@pucp', True], ['perez', False], ['mariana', False], ['aclavo@pucp', True], ['a20182474@pucp', True], ['josue', False], ['fabio', False], ['fernanda', False], ['aquillatupa@pucp', True]]

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:

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

The repo maintainer must create the branch named group_#_ass_1_2024 (group_1_ass_1_2024) and save their markdown in the Assignment_1 folder. Name your Markdown file like your branch (group_#_ass_1_2024).

Each member has to write his text. For example:

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.

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:

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.

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.