Aymen Ben Ali

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❓Are you considering applying for a data science internship? There are many things to consider! Recently Alta (Zietsman) Saunders from Praelexis wrote a blog on what you need to consider when applying for your internship. Read the blog here: https://lnkd.in/dA5kh7mF One of the major considerations is what industry you would like to work in. 💼 The industry could influence the type of projects you will be working on. Consider the industry the company is working in, and whether that matches your interests, before applying. If you are unsure which industry you want to work in, consider an internship at a data science consulting firm. If you have any questions regarding internships at Praelexis or are interested in applying, please contact us or email [email protected]. #praelexis #ai #datascience #internships #passion

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Python Question 89 (தமிழில்): Sort Only Vowels Full Video: https://lnkd.in/dDE9rSBt 00:00 - Introduction to dataset and Question 03:20 - Approach 1: Using a FOR Loop  10:05 - Approach 2: Using enumerate 15:05 - Conclusion Video 272: In this video, we are going to decode a message You are given a string which has consonants and vowels.  vowels are the 5 letters aeiou. the rest of the 21 letters are consonants. what they are asking us to do is, find only the vowels in the string, and replace those vowels alone in ascending order In this video, we are going to see two different approaches to get the solution. *** Approach 1: Using a FOR Loop ***   Extract vowels from the string and sort them. Reconstruct the string by replacing the original vowels with the sorted vowels while keeping consonants in their original positions. *** Approach 2: Using enumerate ***   Extract vowels and their positions using enumerate to keep track of indices. Sort the vowels. Reconstruct the string by placing the sorted vowels back in their original positions using the recorded indices. For a comprehensive understanding and practical demonstration, be sure to watch the entire video. Happy coding! code: https://lnkd.in/gWG6FdwP Follow me on, Website : https://growwithdata.co/ YouTube : https://lnkd.in/gSrqE3Nj TikTok : https://lnkd.in/gqFiMex2 LinkedIn : https://lnkd.in/gdfNNX9a Facebook : https://lnkd.in/gU6JWpFH FB Group : https://lnkd.in/gG4ENcrP twitter : https://lnkd.in/geZ3dqi8 WhatsApp : https://lnkd.in/gBa5eC7y Instagram : https://lnkd.in/gn263_PZ TheWide : https://lnkd.in/gt7htz_8

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Advanced SQL 50 Question 07 (தமிழில்): Sellers With No Sales Full Video: https://lnkd.in/gnAYpMbF Video 302: This is the 7th video of the SQL Interview Question series. We are given three tables Customer, Orders and Seller. The Customer table has customer id and their name  Seller able has seller_id and their names  The Orders table has the Order details with order_id as unique identifier. It has the sale date, the cost, customer id and seller id If you want to check who are the customers and what they bought, use the customer id and connect the tables Also, we can check the sellers and how much they sold, u can connect using the seller id Now, they ask us to find the names of all sellers who did not make any sales in 2024. In this video, we'll work through four different approaches to solving this problem, highlighting the advantages and limitations of each. *** Basic LEFT JOIN with Date Comparison ***   Learn how to use a simple LEFT JOIN to identify sellers who have no sales records within a specified date range. *** LEFT JOIN with YEAR Function ***   This method leverages the YEAR function to filter sales records by year, making the query more readable and intuitive. *** LEFT JOIN with LEFT Function for Year Extraction ***   Discover how to use string manipulation to extract the year from date strings, providing a flexible way to handle date comparisons. *** Using DISTINCT to Ensure Unique Seller Names ***   Combine the power of DISTINCT with our previous techniques to ensure our results are accurate and contain no duplicates. For a comprehensive understanding of these SQL methodologies and their application, please refer to this explanatory video. code: https://lnkd.in/gf3Tjsxe Follow me on, Website : https://growwithdata.co/ YouTube : https://lnkd.in/gSrqE3Nj TikTok : https://lnkd.in/gqFiMex2 LinkedIn : https://lnkd.in/gdfNNX9a Facebook : https://lnkd.in/gU6JWpFH FB Group : https://lnkd.in/gG4ENcrP twitter : https://lnkd.in/geZ3dqi8 Instagram : https://lnkd.in/gn263_PZ WhatsApp : https://lnkd.in/gBa5eC7y TheWide : https://lnkd.in/gt7htz_8

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Python Question 88: Order Check in Array Full Video: https://lnkd.in/gYaNGDWP 00:00 - Introduction to dataset and Question 02:05 - Approach 1: FOR Loop 06:00 - Approach 2: Using zip() Function 10:10 = Approach 3: List Comprehension 11:30 - Conclusion Video 269: In this video, we are going to decode a message You are given an numeric array and asked to check how many elements in the array are in right position when sorted in ascending order. In this video, we are going to address this in three differetn approaches. *** Approach 1: FOR Loop ***   Compare the original array with a sorted version using a simple for loop to count mismatches. *** Approach 2: Using zip() Function ***   Utilize the zip() function to pair elements from the original and sorted arrays, then count mismatches. *** Approach 3: List Comprehension ***   Leverage Python's list comprehension for a more concise and readable solution to count mismatches. For a comprehensive understanding and practical demonstration, be sure to watch the entire video. Happy coding! code: https://lnkd.in/gWpQp5Jk Follow me on, Website : https://growwithdata.co/ YouTube : https://lnkd.in/gSrqE3Nj TikTok : https://lnkd.in/gqFiMex2 LinkedIn : https://lnkd.in/gdfNNX9a Facebook : https://lnkd.in/gU6JWpFH FB Group : https://lnkd.in/gG4ENcrP twitter : https://lnkd.in/geZ3dqi8 WhatsApp : https://lnkd.in/gBa5eC7y Instagram : https://lnkd.in/gn263_PZ TheWide : https://lnkd.in/gt7htz_8 #recursive #countingalgorithm #list #looping #listmanipulation #uniquesubstring #longestsubstring #slicing #lineartimecomplexity #python #pythonquestions #pythontest #pythonprogramming #pythontutorial #python3 #pythonforbeginners #interviewquestions #interview #dataengineers #deinterview #pythoninterview #interviewquestions #leetcode #placementpreparation #meta #google #facebook #apple #netflix #amazon #google #faang #maanga #dataengineers #alphanumeric #nonalphanumeric #growwithdata #set #split #remove #pythonfunctions #tamil #tamilpython #tamilinterview #tamilinterviewlatest #pythoninterviewquestions #pythoninterviewquestionsandanswers #importantpythoninterviewquestions #prepareforpythonjobs #pythonjobinterviewpreparation #toppythoninterviewquestions #commonpythoninterviewquestions #growwithdata

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DAX IN A DAY (PBI-DAX) Virtual Classroom (AEST) 24/09/2024 - 24/09/2024 03/12/2024 - 03/12/2024 Introduce Data Models Write DAX Formulas Define Calculated Tables and Columns Define Measures Use DAX Iterator Functions Modify Filter Context Use DAX Time Intelligence Functions https://lnkd.in/gS68r7aS

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Maintain accuracy in production with ML models that always learn from the newest data in the data warehouse. #whykumo Request a demo and query the future: https://kumo.ai/apply #ProductionAccuracy #DataLearning

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Do you have an upcoming interview in data science? Alta (Zietsman) Saunders from Praelexis recently wrote a blog about how to survive such an interview. Read the blog here: https://lnkd.in/dfzPB3kp Remember, your soft skills are just as important as your technical skills! When considering your soft skills think about how you come across. When preparing for a data science interview, ask yourself the following questions: 1. Are you communicating clearly? 2. Can you communicate a complex idea (like defining a problem)? 3. How do you speak to the people in the interview? 4. Will the people who are interviewing you feel like you are a candidate that they can introduce to a client? 5. Are you able to see the bigger picture and communicate it? If you are curious about vacancies at Praelexis, contact us or email [email protected]. #praelexis #ai #datascience #interview #passion #tips #softskills

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New AWIPS Tips: Plotting NEXRAD Data in Python Check out the blog here: https://buff.ly/3WVdyRD

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