Python Practice Problems: Parsing CSV Files

Day,MxT,MnT,AvT,AvDP,1HrP TPcpn,PDir,AvSp,Dir,MxS,SkyC,MxR,Mn,R AvSLP 1,88,59,74,53.8,0,280,9.6,270,17,1.6,93,23,1004.5 2,79,63,71,46.5,0,330,8.7,340,23,3.3,70,28,1004.5 3,77,55,66,39.6,0,350,5,350,9,2.8,59,24,1016.8 4,77,59,68,51.1,0,110,9.1,130,12,8.6,62,40,1021.1 5,90,66,78,68.3,0,220,8.3,260,12,6.9,84,55,1014.4 6,81,61,71,63.7,0,30,6.2,30,13,9.7,93,60,1012.7 7,73,57,65,53,0,50,9.5,50,17,5.3,90,48,1021.8 8,75,54,65,50,0,160,4.2,150,10,2.6,93,41,1026.3 9,86,32,59,61.5,0,240,7.6,220,12,6,78,46,1018.6 10,84,64,74,57.5,0,210,6.6,50,9,3.4,84,40,1019 11,91,59,75,66.3,0,250,7.1,230,12,2.5,93,45,1012.6 12,88,73,81,68.7,0,250,8.1,270,21,7.9,94,51,1007 13,70,59,65,55,0,150,3,150,8,10,83,59,1012.6 14,61,59,60,55.9,0,60,6.7,80,9,10,93,87,1008.6 15,64,55,60,54.9,0,40,4.3,200,7,9.6,96,70,1006.1 16,79,59,69,56.7,0,250,7.6,240,21,7.8,87,44,1007 17,81,57,69,51.7,0,260,9.1,270,29,5.2,90,34,1012.5 18,82,52,67,52.6,0,230,4,190,12,5,93,34,1021.3 19,81,61,71,58.9,0,250,5.2,230,12,5.3,87,44,1028.5 20,84,57,71,58.9,0,150,6.3,160,13,3.6,90,43,1032.5 21,86,59,73,57.7,0,240,6.1,250,12,1,87,35,1030.7 22,90,64,77,61.1,0,250,6.4,230,9,0.2,78,38,1026.4 23,90,68,79,63.1,0,240,8.3,230,12,0.2,68,42,1021.3 24,90,77,84,67.5,0,350,8.5,10,14,6.9,74,48,1018.2 25,90,72,81,61.3,0,190,4.9,230,9,5.6,81,29,1019.6 26,97,64,81,70.4,0,50,5.1,200,12,4,107,45,1014.9 27,91,72,82,69.7,0,250,12.1,230,17,7.1,90,47,1009 28,84,68,76,65.6,0,280,7.6,340,16,7,100,51,1011 29,88,66,77,59.7,0,40,5.4,20,9,5.3,84,33,1020.6 30,90,45,68,63.6,0,240,6,220,17,4.8,200,41,1022.7    

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Must Known Techniques for text preprocessing in NLP

This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is as important as model building. Text data is one of the most unstructured forms of available data and when comes to deal with Human language then it’s too complex. Have you ever wondered how Alexa, Siri, Google assistant can understand, process, and respond in Human language. NLP is a technology that works behind it where before any response […]

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3 Painful Mistakes Leaders Can Avoid When Buying AI Solutions

85% of global executives believe that AI can become their competitive advantage. So, the rush to AI adoption is understandable. Unfortunately, implementing AI from scratch takes time, and success comes with experience in building and deploying solutions. To speed things up, “buying” instead of building from scratch seems like a sensible way to get started; You don’t have to hire a team of data scientists, spend on additional infrastructure, or have support staff on call to troubleshoot model problems. Plus, […]

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Python 3 module to print out long strings of text with intervals of time inbetween

Python-Fastprint Python 3 module to print out long strings of text with intervals of time inbetween Install:pip install fastprint Sync Usage: from fastprint import pr pr(“longntext”) # each line takes 1 second pr(“othernlongtext”, 0.2) # each line takes 0.2 seconds Async usage: from async_fastprint import async_pr async def foo: return async_pr(“Thisnisnasynchrounous!”) Check out example.py for more GitHub https://github.com/ThatOneCalculator/Python-Fastprint    

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A Scheil-Gulliver simulation tool using pycalphad

scheil A Scheil-Gulliver simulation tool using pycalphad. import matplotlib.pyplot as plt from pycalphad import Database, variables as v from scheil import simulate_scheil_solidification # setup the simulation parameters dbf = Database(‘alzn_mey.tdb’) comps = [‘AL’, ‘ZN’, ‘VA’] phases = sorted(dbf.phases.keys()) liquid_phase_name = ‘LIQUID’ initial_composition = {v.X(‘ZN’): 0.3} start_temperature = 850 # perform the simulation sol_res = simulate_scheil_solidification(dbf, comps, phases, initial_composition, start_temperature, step_temperature=1.0) # plot the result for phase_name, amounts in sol_res.cum_phase_amounts.items(): plt.plot(sol_res.temperatures, amounts, label=phase_name) plt.plot(sol_res.temperatures, sol_res.fraction_liquid, label=’LIQUID’) plt.ylabel(‘Phase Fraction’) plt.xlabel(‘Temperature (K)’) plt.title(‘Al-30Zn […]

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A friendly Python wrapper around the Deezer API

Deezer Python Client A friendly Python wrapper around the Deezer API. Installation The package is published onPyPI and can be installed by running: pip install deezer-python Basic Use Easily query the Deezer API from you Python code. The data returned by the DeezerAPI is mapped to python resources: >>> client = deezer.Client() >>> client.get_album(680407).title ‘Monkey Business’    

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A community made discord bot coded in Python and running on AWS

Pogbot This is an open source community ran project. Join the discord for more information on how to participate. Coded in python, running on AWS. Adding Pogbot To add Pogbot to your discord server, send a message to Pogbot#0689 with the keyword add. Getting Started Once Pogbot is added, run the command !setup to get antiquated with Pogbot. GitHub https://github.com/projectopengroup/Pogbot    

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Make visual music sheets for thatskygame

sky-python-music-sheet-maker This program lets you make visual music sheets for Sky: Children of the Light. It will ask you a few questions, and does not require previous knowledge of the command line to run. Usage Installation The program requires Python >= 3.6 and the following packages: PIL (preferably pillow) import_resources (for Python < 3.8) pyYaml mido (optional: for generating midi output) requests (optional: for generating a link to skymusic.herokuapp.com) The program can be installed by simply unzipping the code on [...]

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A bike computer based on Raspberry Pi Zero with GPS and ANT+

Pi Zero Bikecomputer An open source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+. Including offline map and navigation. Abstract Pi Zero Bikecomputer is a GPS and ANT+ bike computer based on Raspberry Pi Zero(W, WH). This is the first DIY project in the world integrated with necesarry hardwares and softwares for modern bike computer. It measures and records position(GPS), ANT+ sensor(speed/cadence/power) and I2C sensor(pressure/temperature/accelerometer, etc). It also displays these values, even maps and courses […]

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