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Week 1: Introduction¶

Attended first class on Fab lab(Data science) 18th November 2025. The presenter gave an introduction, and Professor Neil oriented us on the various tools. Professor Neil guided us through the JupyterLab interface in detail, explaining the different tools, panels, and commands available in the environment. He showed us how each feature works, how to navigate the workspace efficiently, and how to use the essential functions needed for running code, managing files, and performing data analysis.

Goals
21st- Century vocational skills
formats
schedule for the course and number of examples

What is Fab Lab¶

Today's session, I explore more on what is acutually a Fab Lab is mean for us. Jupyter usually refers to using Jupyter Notebook as a digital “workspace” for learning, experimenting, and simulating projects related to Fab Labs. In this setup, you can:

Write code to control digital fabrication tools (like 3D printers or CNC machines).

Simulate designs before physically making them.
Visualize and analyze data from prototypes or experiments.
Document the process with code, text, and images in one interactive notebook.
Essentially, Jupyter acts like a digital Fab Lab, combining coding, experimentation, and documentation in one platform. OpenAI. (2025).

What is a Jupyter Notebook?¶

Jupyter Notebook is an open-source web tool that allows users to write and run code, visualize data, and create interactive documents combining code, text, and graphics (OpenAI, 2025).

Video import from Youtube¶

I also tried to explore more on jupyter notebook and learn more on how to run the jupyter notebook.

importing video from youtube import webbrowser url = "https://www.youtube.com/watch?v=5pf0_bpNbkw&t=932s" webbrowser.open(url)

import webbrowser url = "https://www.youtube.com/watch?v=5pf0_bpNbkw&t=932s" webbrowser.open(url)

Datasets file¶

Today I learnt what is datasets and types of datasets used in the Jupyter notebook. To my understanding the "Datasets is collection of data you use for analysis, visualization, or machine learning".

Type	Example	How you load it
CSV files	student_scores.csv	`pd.read_csv("student_scores.csv")`
Excel files	marks.xlsx	`pd.read_excel("marks.xlsx")`
Images	photos, handwriting images	Using PIL or OpenCV
Text files	notes.txt	`open("notes.txt")`
Built-in datasets	iris, titanic	`from sklearn import datasets`
API datasets	weather API, stock prices	Using `requests`

(OpenAI, 2025)

Import datasets¶

In [28]:

import pandas as pd
datasets = pd.read_excel("datasets/student_data_analysis_filled.xlsx")
datasets.head()

Out[28]:

	Student ID	Student Name	Class	Assignment 1	Assignment 2	Midterm	Final Exam	Total Marks	Percentage	Grade
0	S001	Sonam Wangchuk	VIII	70	65	60	75	270	67.5	C
1	S002	Dechen Lhamo	VIII	71	66	61	76	274	68.5	C
2	S003	Karma Dorji	VIII	72	67	62	77	278	69.5	C
3	S004	Thinley Om	VIII	73	68	63	78	282	70.5	B
4	S005	Pema Choden	VIII	74	69	64	79	286	71.5	B

Displaying all the rows and columns¶

In [29]:

import pandas as pd
pd.set_option('display.max_rows',None)
pd.set_option('display.max_columns',None)
datasets

Out[29]:

	Student ID	Student Name	Class	Assignment 1	Assignment 2	Midterm	Final Exam	Total Marks	Percentage	Grade
0	S001	Sonam Wangchuk	VIII	70	65	60	75	270	67.50	C
1	S002	Dechen Lhamo	VIII	71	66	61	76	274	68.50	C
2	S003	Karma Dorji	VIII	72	67	62	77	278	69.50	C
3	S004	Thinley Om	VIII	73	68	63	78	282	70.50	B
4	S005	Pema Choden	VIII	74	69	64	79	286	71.50	B
5	S006	Jigme Tenzin	VIII	75	70	65	80	290	72.50	B
6	S007	Kinley Yangzom	VIII	76	71	66	81	294	73.50	B
7	S008	Tshering Dorji	VIII	77	72	67	75	291	72.75	B
8	S009	Ugyen Wangmo	VIII	78	65	68	76	287	71.75	B
9	S010	Sangay Phuntsho	VIII	79	66	69	77	291	72.75	B
10	S011	Kezang Dema	VIII	70	67	70	78	285	71.25	B
11	S012	Choki Gyeltshen	VIII	71	68	71	79	289	72.25	B
12	S013	Phub Zam	VIII	72	69	60	80	281	70.25	B
13	S014	Tandin Wangdi	VIII	73	70	61	81	285	71.25	B
14	S015	Passang Lham	VIII	74	71	62	75	282	70.50	B
15	S016	Namgay Dorji	VIII	75	72	63	76	286	71.50	B
16	S017	Chimi Yangzom	VIII	76	65	64	77	282	70.50	B
17	S018	Ngawang Tshering	VIII	77	66	65	78	286	71.50	B
18	S019	Dawa Tshering	VIII	78	67	66	79	290	72.50	B
19	S020	Pelden Lhamo	VIII	79	68	67	80	294	73.50	B

(Saral Gyaan, 2023)

Jupyter Nagivation¶

Browsing Jupyter notebook and importing datasets such as csv, excel and images in the jupyter then link with websites. Create our own biodata and uplaod our own picture, then i tried to link them. however, did so many time but couldn't display on that same day as i am very new to this notebook and didn't know where to upload the documents. So got help our Mr. Anith and finally it works.

Reference¶

OpenAI. (2025). Explanation of what Jupyter is [ChatGPT response]. https://chat.openai.com
Saral Gyaan. (2023, November 12). How to display all the columns/rows of a large Pandas dataframe in Jupyter Notebook? [Video]. YouTube. https://www.youtube.com/watch?v=f1zBr9ZauwM

In [ ]:

CODES
Import images
<img alt="" src="images/Code for importing excel files from datasets.png">

Import datasets
import pandas as pd
datasets = pd.read_csv/excel("datesets/Filename.csv")
datasets
(press shift with enter key)

In [ ]: