py4e
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jmelahman / python-for-everybody-solutions
Solutions to Python for Everybody: Exploring Data using Python 3 by Charles Severance
Language:Python 200AbhishekMali21 / PYTHON-FOR-EVERYBODY
| Python for Everybody - Exploring Data Using Python 3 | Author - Charles R. Severance @csev | Chapter Practices & Exercises |
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Phantom-fs / Python-for-Everybody-py4e
PYTHON FOR EVERYBODY (py4e) Coursera SPECIALIZATION by UNIVERSITY OF MICHIGAN
courseracoursera-pythoncoursera-specializationpy4epythonpython-3python-for-everybodypython3problem-solvingprogrammingsolutionsdata-structuresweb-scrapingpython-data-structuresmichigan-python-coursemichigan-universityuniversity-of-michiganprogramming-for-everyoneusing-python-to-access-web-datausing-databases-with-pythonLanguage:Python 6rish-codes / py4e
My progress through the Python For Everybody Specialization by University of Michigan, taught by Professor Charles Russell Severance
Language:Python 4EhabR98 / python4everyone-xml-assign
n this assignment you will write a Python program somewhat similar to http://www.py4e.com/code3/geoxml.py. The program will prompt for a URL, read the XML data from that URL using urllib and then parse and extract the comment counts from the XML data, compute the sum of the numbers in the file. We provide two files for this assignment. One is a sample file where we give you the sum for your testing and the other is the actual data you need to process for the assignment. Sample data: http://py4e-data.dr-chuck.net/comments_42.xml (Sum=2553) Actual data: http://py4e-data.dr-chuck.net/comments_988433.xml (Sum ends with 94) You do not need to save these files to your folder since your program will read the data directly from the URL. Note: Each student will have a distinct data url for the assignment - so only use your own data url for analysis. Data Format and Approach The data consists of a number of names and comment counts in XML as follows: <comment> <name>Matthias</name> <count>97</count> </comment> You are to look through all the <comment> tags and find the <count> values sum the numbers. The closest sample code that shows how to parse XML is geoxml.py. But since the nesting of the elements in our data is different than the data we are parsing in that sample code you will have to make real changes to the code. To make the code a little simpler, you can use an XPath selector string to look through the entire tree of XML for any tag named 'count' with the following line of code: counts = tree.findall('.//count') Take a look at the Python ElementTree documentation and look for the supported XPath syntax for details. You could also work from the top of the XML down to the comments node and then loop through the child nodes of the comments node. Sample Execution $ python3 solution.py Enter location: http://py4e-data.dr-chuck.net/comments_42.xml Retrieving http://py4e-data.dr-chuck.net/comments_42.xml Retrieved 4189 characters Count: 50 Sum: 2...
Language:Python 2In this program you will use a GeoLocation lookup API modelled after the Google API to look up some universities and parse the returned data.
acidsafari / congenial-journey
the first repository created to showcase the work done during the PY4E course, and in case anyone needs it.
Language:Python 1ari-dixit / Py4e
Based off of lessons from Dr. Chuck Severance's Py4e course on Coursera. Repo will be updated as I progress through the specialization.
Language:Python 1cmobrien123 / Python-for-Everybody-Courses-1-through-4
This is a collection of different assigments completed as part of the Programming for Everybody (Getting Started with Python) Coursera course: https://www.coursera.org/learn/python?
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The program will prompt for a URL, read the JSON data from that URL using urllib and then parse and extract the comment counts from the JSON data, compute the sum of the numbers in the file.
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hhhameem / problem-solving
solved problems from various resources
Language:JavaScript 1Sajadahf / Python-for-Everybody-Specialization
Sample code of Python For Everybody Specialization - Coursera
Language:Python 1Auj7 / PY4E-Specialization
My programming solution to the assignments of Python for Everybode Specialization.
Language:Python 0daiveeknuckles / py4e
Solutions to Python for Everybody: Exploring Data using Python 3 by Charles Severance
Language:Python 0eben-cobby / scientific-computing-with-python-projects-freeCodeCamp
My solutions to the python projects for the freeCodeCamp Scientific Computing with Python Certification.
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imhuangshihui / learn-python-with-ex
Some python practice solutions from class, py4e, rosalind and so on
Language:Python 0JoanneHelenMana / PY4E-book-exercises
My attempts at solving the exercises in the PY4E book.
Language:Python 0jzstats / chatgpt-numbers-and-the-meaning-of-life
This repo supports the project I produced for the Honors Track Assignment of the final Course 'Capstone - Retrieving, Processing and Visuallizing Data with Python' from 'Python for Everybody' Specialization by the 'University of Michigan' on Coursera.
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ValiPython / Python-for-Everybody-PY4E
My solutions to the 'Python for Everybody' course (Charles Severance aka Dr. Chuck) exercises. https://www.py4e.com/
Language:Python 0vinay-code7 / all-certificates
Collection of all my Certificates and Badges
0aclongo / python-web-data
This is my solution for scraping numbers and following links in HTML using BeautifulSoup, Chapter 12 assignments of Python for Everybody
Language:PythonThese are my solutions to the Extracting Data from XML and JSON assignments for Chapter 13 of Python for Everybody
Language:PythonAdventureAdept / PY4E
| Python for Everybody: Exploring Data in Python 3 | Author - Charles R. Severance @csev | Chapter Practices & Exercises |
Language:PythonNorky101 / Hours-worked-and-overtime-calculator-
Hours worked and overtime calculator using Python
Language:PythonSivnerof / PY4E
Free and open source begginer Python class offered by Dr. Charles Severance (https://www.py4e.com/)
Language:PythonTezcatlipoca0000 / my_mclip
A simple program that copies predefined text to the clipboard using the "Run" command in Windows
Language:PythonFrom Dr. Chuck's "Python for everybody", this are the lessons and excercises
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