Mo Omar (Moha143)

Moha143

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Company:Malaysia

Location:Somalia

Home Page:moha143omar@gmail.com

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Mo Omar's repositories

CS50-Network-project-4

Design a Twitter-like social network website for making posts and following users.

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CS50-Project-2

Harvard CS50 course - Project 2 - eBay-like e-commerce auction site

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Python-Extracting-Data-

Finding Numbers in a Haystack In this assignment you will read through and parse a file with text and numbers. You will extract all the numbers in the file and compute the sum of the numbers. Data Files 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/regex_sum_42.txt (There are 90 values with a sum=445833) Actual data: http://py4e-data.dr-chuck.net/regex_sum_929690.txt (There are 76 values and the sum ends with 651)

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CS50-Project-0

CS50 web programming with python and javascript

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E_Dahab-project

E_Dahab project

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Javascript-practice

javascript practice with variable

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Job-Application-Tracker

Job Application Tracker

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Links-in-Python

In this assignment you will write a Python program that expands on http://www.py4e.com/code3/urllinks.py. The program will use urllib to read the HTML from the data files below, extract the href= vaues from the anchor tags, scan for a tag that is in a particular position relative to the first name in the list, follow that link and repeat the process a number of times and report the last name you find.

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LittleLemon

LittleLemon

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Module-two-Solution

HTML, CSS, and Javascript for Web Developers.

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Moha143-Module-two-solution-

Moha143/Module-two-solution

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number_generator

Flutter App

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Payment

Payment with Visual Studio

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Python-Assignment-10.2

10.2 Write a program to read through the mbox-short.txt and figure out the distribution by hour of the day for each of the messages. You can pull the hour out from the 'From ' line by finding the time and then splitting the string a second time using a colon. From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008 Once you have accumulated the counts for each hour, print out the counts, sorted by hour as shown below.

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Python-Assignment-7.1

7.1 Write a program that prompts for a file name, then opens that file and reads through the file, and print the contents of the file in upper case. Use the file words.txt to produce the output below.

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Python-Assignment-7.2

7.2 Write a program that prompts for a file name, then opens that file and reads through the file, looking for lines of the form: X-DSPAM-Confidence: 0.8475 Count these lines and extract the floating point values from each of the lines and compute the average of those values and produce an output as shown below. Do not use the sum() function or a variable named sum in your solution.

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Python-Assignment-8.4

8.4 Open the file romeo.txt and read it line by line. For each line, split the line into a list of words using the split() method. The program should build a list of words. For each word on each line check to see if the word is already in the list and if not append it to the list. When the program completes, sort and print the resulting words in alphabetical order.

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Python-Assignment-8.5-

8.5 Open the file mbox-short.txt and read it line by line. When you find a line that starts with 'From ' like the following line: From stephen.marquard@uct.ac.za Sat Jan 5 09:14:16 2008 You will parse the From line using split() and print out the second word in the line (i.e. the entire address of the person who sent the message). Then print out a count at the end. Hint: make sure not to include the lines that start with 'From:'.

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Python-Assignment-9.4

9.4 Write a program to read through the mbox-short.txt and figure out who has sent the greatest number of mail messages. The program looks for 'From ' lines and takes the second word of those lines as the person who sent the mail. The program creates a Python dictionary that maps the sender's mail address to a count of the number of times they appear in the file. After the dictionary is produced, the program reads through the dictionary using a maximum loop to find the most prolific committer.

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Scraping-Numbers-from-HTML-using-BeautifulSoup-

craping Numbers from HTML using BeautifulSoup In this assignment you will write a Python program similar to http://www.py4e.com/code3/urllink2.py. The program will use urllib to read the HTML from the data files below, and parse the data, extracting numbers and compute the sum of the numbers in the file.

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Week-4-E-reader

Responsive website HTML ,CSS and javascript.

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