Nestled within the crater of Agnano in Naples, Italy, this museum lies at the base of a dormant volcano. Spanning multiple floors, the collection unfolds the captivating narrative of the native species of Naples. Our project germinates from three distinct mathematical equations: A cartesian equation that produces a Clebsch diagonal cubic surface, a parametric equation … Read more
Information flow between people involved in architectural project 00.Problem In today’s rapidly changing world, architecture is undergoing a significant evolution, driven by the convergence of technology advancements and changing societal needs. However, its management has remained traditional. One of the crucial problems in this system is outdated way of information circulation both in architectural office and … Read more
The objective of this project is to expand the capabilities of specific robotic processes in additive manufacturing, known as impact printing, Impact Printing, a novel additive manufacturing Robotic technique that consolidates pliable soft particles through a robotic shooting process. The cohesion among these soft particles arises from the conversion of kinetic energy, acquired during acceleration, … Read more
Introduction: Understanding the presence and distribution of pollutants like pesticides is crucial. In this blog post, I’ll delve into a Python-based analysis exploring pesticide concentration trends across diverse locations. I’ll use Python’s data analysis libraries to decipher annual trends and gain an overarching understanding of pesticide presence. Interpretation and Conclusion: My Python-based analysis shed light … Read more
Brief Intending to improve productivity, our focus fell upon the constraints of robot arms. The bounding area of limitation is a reoccurring issue when working with machines, as the area of reach is defined by the physical limitations of the physical components. In this blog, we investigate a solution to increase the range reach for … Read more
Investigating the Impact of Open Green Spaces on Airbnb Rates with Python 1. Introduction The industry of tourism in Barcelona has seen a major hike in the past couple years. Post-covid Barcelona has also become an educational hub for students from across the globe. The increase in Inflow of people has also made platform urbanism … Read more
As we move further into the 21st century, our chances of averting climate change have all but disappeared. Analysis shows that global temperatures now sit 1.1? above pre-industrial levels and are set to rise to 1.5? by the early 2030s (Jotzo and Howden, 2023). This rapid increase in temperatures has led to loss of land … Read more
Enlarging the great… Emanuel Ginobili is one of the most -if not the most- accomplished Argentinian basketball players. During his 16 season basketball career in the NBA, that went on from 2002 to 2018, he won 4 championships as one of the San Antonio Spurs “Big Three”, was named an All-Star twice, was selected for … Read more
In this blog post, we will walk through a comprehensive data analysis exercise using two datasets related to Barcelona – Airbnb listings and real estate prices. This exercise shows how the data was cleaned, transformed, explored, and visualized using Python alongside popular data science libraries such as Pandas and Plotly. Step 1: Download and Load … Read more
Visualizing dataframes using Geopandas and Plotly in Python introduction Python is a versatile and easy-to-learn programming language. GeoPandas extends the data manipulation capabilities of pandas to spatial data, providing a familiar and convenient environment for working with both tabular and geographical data. GeoPandas makes it easy to load, explore, and analyze geographical data. You can … Read more
“Start the machine” …was the first operation in mind when asked to perform a task with Python script. One of the motivations to learn Python as an urban designer is to organize geospatial data with accuracy and legibility. Before we dive into the digital wilderness, of data trees and data frames, it’s important to note … Read more
Introduction Airbnb is a well know marketplace that connects people who want to rent out their property with people who are looking for accommodations, typically for short stays (Investopedia, 2023). As a powerful tool to connect people to hospitality supply around the world, and provide them quality spaces to stay, it heavily relies on the … Read more
Introduction In today’s data-driven world, the ability to visualize data effectively is a key skill. This blog post introduces the fundamentals of data visualization using Python, a powerhouse in the data science toolkit. We’ll explore essential libraries like GeoPandas, Plotly and Contextily, guiding you through the process of transforming raw data into insightful, visually appealing … Read more
In this exercise, I visualised the relationship between the price of Airbnb accommodations compared to the price that the regular housing market puts. The visualisation consists of two datasets in csv format as well as a shapefile. The process started by cleaning the data so that equivalent columns in the csv’s could be matched. After … Read more
Music is visualized everyday – but is there any accuracy to its representation? Can sound be accurately represented? If so, what does it look like? How is accuracy measured? While not fully satisfied with the answers found to these questions, Python’s mido package shed light on the how sound and color may be linked through … Read more
1.Geospatial Mapping using GeoPandas in Python In Python, GeoPandas plays a crucial role in facilitating geospatial analysis through its powerful functions. I will illustrate the concise process of leveraging GeoPandas to create maps of Barcelona. This involves a systematic application of GeoPandas’ functions for effective geospatial data synthesis and mapping. Step 1: Loading GeoDataFrame from … Read more
