write a python script using pandas dataframes that reads a csv file that contains information on a set of companies and detects duplicates. Once the duplicates are detected you must merge the information of the duplicates in a way that you retain the maximum amount of data. Duplicates are defined by having the same name, country and city fields. For example if two companies are called 'yey' and are in city 'paris' and country 'france' they are considered duplicates and have to be merged. If company 1 has data on its 'url' field and the other does not, we will use for the merge the value of the 'url' field corresponding to the company 1. If both companies have a field that is not empty, choose the field which has more characters in it. Example of csv content: ''' id,name,country,city,data_source,player_address,player_url 1A1B1E3I2L2T2Y_USA_EQZSO2668H,&yet,USA,Richland,crunchbase,140 Gage Blvd Suite 100,http://andyet.com 1E1T1Y_United States_VXYGE2509U,&yet,USA,Richland,dealroom,https://andyet.c
Miguel Vazquez-Prada miguelvb
( Ver aquí el resumen del curso de jueces (2022) )
Dos organizaciones de competiciones: AIDA - CMAS CMAS << FEDAS
Safety: sin ellos no hay competición, responsables de la seguridad de los competidores mientras compiten. CMAS - indoor :
what should I start learning about from topic {topic} topic = 'digital physics' If you're interested in learning about digital physics, here are some topics you could start with:
Information theory: Digital physics is based on the idea that the universe is a giant computer, and information is the fundamental building block of the universe. Information theory is the mathematical study of the properties of information, and is an important foundation for digital physics.
Computational complexity theory: Digital physics involves studying the computational complexity of physical systems. This involves analyzing how much computation is required to simulate physical phenomena, and how that computation scales with the size and complexity of the system.
Cellular automata: Cellular automata are simple computational models that operate on a grid of cells, with each cell following a set of rules based on its neighbors. Digital physics often uses cellular automata as a way of modeling physical systems.
Chemical Brothers:
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#81: Python and Machine Learning in Astronomy -- Talk Python To Me
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Jake VanderPlas: Introduction to Machine Learning for Astronomy in python
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Machine_Learning4Astronomy Github code of 01 - A brief practical introduction to machine learning in astronomy
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Josh Bloom: Physics-Informed Machine Learning in Astronomy | IACS Seminar
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Review on Radio-astronomy and Machine Learning (Michelle Lochner)
make a short screenplay in the style of Monthy pyton about the encounter between schrodinger's cat and Einstein
INT. LABORATORY - DAY
We see a large, cluttered laboratory filled with all sorts of scientific equipment and beakers of bubbling liquids. In the center of the room, a large metal box sits on a table.
done with text-davinci-002, https://beta.openai.com/playground/p/default-openai-api?model=text-davinci-002
"""
Create a python function calculates the histogram of values of a column of a dataframe and show the plot using loglog axis via the mathplotlib library.
arguments: "df" : dataframe; "col": column
| # TAKEN FROM https://dev.to/stokry/download-youtube-video-to-mp3-with-python-26p | |
| # run first pip3 install youtube_dl in your env... | |
| import youtube_dl | |
| def run(): | |
| video_url = input("please enter youtube video url:") | |
| video_info = youtube_dl.YoutubeDL().extract_info( | |
| url = video_url,download=False | |
| ) | |
| filename = f"{video_info['title']}.mp3" |
- COSEE TEK ~ University of Connecticut Simple Hydrophone Design 2016. Barato y simple.
- DIY Hydrophone Dip the lid in the rubber coating can and take it out very slowly....
- Simple hydrophone piezo, epoxia y cable.