Скачать или смотреть How to Use CSV

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CSV files might look plain, but this video shows why their lightweight, comma-separated structure is still the fastest, most universal way to move data between Excel, Google Sheets, Python scripts, and relational databases. We cover the core rules—choosing a delimiter, adding headers, quoting tricky values, and keeping UTF-8 clean—plus tips for error-proof validation, security, and automation. Finally, watch how a simple drag-and-drop import turns any CSV into a live, interactive app inside Knack’s no-code builder.

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#CSV #DataMigration #SpreadsheetTips #NoCode #Knack #DatabaseImport #Automation #ETL #DataSecurity #TechTutorial #DataAnalytics
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00:00 Intro – Do you really need fancy formatting?
00:05 What is a CSV?
00:10 How commas act as boundaries
00:14 Universal compatibility: Excel, Sheets, Python, PostgreSQL
00:22 Advantages: small size & speedy processing
00:31 CSV rules: delimiter, headers, quoting, UTF-8
00:44 Generating CSVs manually or with scripts
00:54 Example data rows (name, age, email)
01:02 Use cases: migration, databases, analytics
01:11 Validation tips: catch commas, quotes, breaks
01:22 Security: encryption, roles, audits, backups
01:31 Importing a CSV into Knack & building an interactive app