LeetCode 1234: Counting Standalone Words with SQL and Regex @YouTube @freecodecamp
In this video, we dive deep into the world of SQL and regular expressions (regex) to tackle a fascinating text analysis problem. We'll show you how to count the occurrences of specific words as standalone entities within a large dataset of text files. This tutorial is perfect for data enthusiasts, SQL learners, and anyone interested in text processing.
What You'll Learn:
Introduction to the Problem: We'll start by explaining the problem statement—counting the occurrences of the words "bear" and "bull" as standalone words in a set of text files stored in a SQL database.
Understanding Regular Expressions (Regex): Learn what regex is, how it works, and why it's a powerful tool for text processing. We'll cover key components like literal characters, metacharacters, and word boundaries.
SQL and Regex Integration: See how to integrate regex into SQL queries to perform complex text searches. We'll explain the use of the REGEXP function and the importance of word boundaries (\b) in ensuring accurate word counts.
Step-by-Step SQL Query Breakdown: We'll walk you through the SQL query used to count the standalone occurrences of "bear" and "bull". You'll learn how to use REGEXP to match whole words and avoid partial matches.
Practical Use Cases: Discover practical applications of regex in SQL, including data validation, search and replace operations, and text parsing.
Live Coding Session: Watch as we write and execute the SQL query, demonstrating the process and explaining each step in detail.
Troubleshooting and Tips: Get tips on common pitfalls and how to troubleshoot issues when working with regex in SQL.
By the end of this video, you'll have a solid understanding of how to use SQL and regex together to perform advanced text analysis. Whether you're a beginner or an experienced SQL user, this tutorial will enhance your skills and provide valuable insights into text processing techniques.
Hey @coreyms @freecodecamp @IBMTechnology @TechnicalGuruji @TheBigDataShow @khanacademy @DarshilParmar @mit @Google @YouTube
I'd love to hear your thoughts on this approach.
#SQLChallenge, #LeetCodeSolution, #SQLTutorial, #DataAnalysis, #SQLTips, #2021Data, #TechInterviews, #SQLCTE, #DataFiltering, #sqlforbeginners #sql #datascience #coding #dataanalytics #techtutorial #education #problemsolving #programming #YouTubeAutomation #ViralVideos #OnlineVideoStrategyeasiest #facelessyoutubechannel #usa #trump #howtomakemoneyonyoutube #aiguy #ai #aitools #ytshorts
#SQL #LeetCode #DataAnalysis #RollingAverage #SQLTutorial #WindowFunctions #CTE #DataScience #SQLPractice #LeetCodeSolutions
Видео LeetCode 1234: Counting Standalone Words with SQL and Regex @YouTube @freecodecamp канала DataKraft
What You'll Learn:
Introduction to the Problem: We'll start by explaining the problem statement—counting the occurrences of the words "bear" and "bull" as standalone words in a set of text files stored in a SQL database.
Understanding Regular Expressions (Regex): Learn what regex is, how it works, and why it's a powerful tool for text processing. We'll cover key components like literal characters, metacharacters, and word boundaries.
SQL and Regex Integration: See how to integrate regex into SQL queries to perform complex text searches. We'll explain the use of the REGEXP function and the importance of word boundaries (\b) in ensuring accurate word counts.
Step-by-Step SQL Query Breakdown: We'll walk you through the SQL query used to count the standalone occurrences of "bear" and "bull". You'll learn how to use REGEXP to match whole words and avoid partial matches.
Practical Use Cases: Discover practical applications of regex in SQL, including data validation, search and replace operations, and text parsing.
Live Coding Session: Watch as we write and execute the SQL query, demonstrating the process and explaining each step in detail.
Troubleshooting and Tips: Get tips on common pitfalls and how to troubleshoot issues when working with regex in SQL.
By the end of this video, you'll have a solid understanding of how to use SQL and regex together to perform advanced text analysis. Whether you're a beginner or an experienced SQL user, this tutorial will enhance your skills and provide valuable insights into text processing techniques.
Hey @coreyms @freecodecamp @IBMTechnology @TechnicalGuruji @TheBigDataShow @khanacademy @DarshilParmar @mit @Google @YouTube
I'd love to hear your thoughts on this approach.
#SQLChallenge, #LeetCodeSolution, #SQLTutorial, #DataAnalysis, #SQLTips, #2021Data, #TechInterviews, #SQLCTE, #DataFiltering, #sqlforbeginners #sql #datascience #coding #dataanalytics #techtutorial #education #problemsolving #programming #YouTubeAutomation #ViralVideos #OnlineVideoStrategyeasiest #facelessyoutubechannel #usa #trump #howtomakemoneyonyoutube #aiguy #ai #aitools #ytshorts
#SQL #LeetCode #DataAnalysis #RollingAverage #SQLTutorial #WindowFunctions #CTE #DataScience #SQLPractice #LeetCodeSolutions
Видео LeetCode 1234: Counting Standalone Words with SQL and Regex @YouTube @freecodecamp канала DataKraft
SQL LeetCode Data Analysis SQL Tutorial Rolling Average Window Functions Common Table Expressions CTE SQL for Beginners SQL Window Functions Data Science SQL Tips SQL Tricks LeetCode Solutions SQL Challenge Data Engineering Data Analytics SQL Query SQL Problem Solving SQL Interview Questions SQL Practice Database Query Data Wrangling SQL for Data Science Advanced SQL SQL Examples SQL Tutorial for Beginners Coding Interview SQL Coding
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16 ноября 2024 г. 6:21:03
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