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1. www.next.com.ee › enNext Official Site: Online Fashion, Kids Clothes & Homeware

   www.next.com.ee › en

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   Womens. Shop the latest women's, men's and children's fashion plus homeware, beauty and more. Next day delivery and free returns available. Shop now!

2. www.next.ae › enNext United Arab Emirates: Online Fashion, Kids Clothes ...

   www.next.ae › en

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   Effortless style awaits at Next UAE with easy returns, free next day delivery, and convenient Apple Pay. Elevate your wardrobe, now split into 3 hassle-free steps with Tamara!

3. www.nextdirect.com › ch › enNext Official Site: Online Fashion, Kids Clothes & Homeware

   www.nextdirect.com › ch › en

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   Next is your online destination for fashion, kids clothes and homeware. Browse a wide range of styles and brands, and enjoy next day delivery and free returns. Whether you need a new dress, a cozy sweater or a gift for someone special, Next has it all. Shop now and discover the Next difference.

4. www.nextdirect.com › cz › enNext Official Site: Online Fashion, Kids Clothes & Homeware

   www.nextdirect.com › cz › en

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   Shop the latest women's, men's and children's fashion plus homeware, beauty and more. Next day delivery and free returns available. Shop now!

5. www.nextdirect.com › nzNext Official Site: Online Fashion, Kids Clothes & Homeware

   www.nextdirect.com › nz

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   Shop the latest women's, men's and children's fashion plus homeware, beauty and more. Next day delivery and free returns available. Shop now!

6. www.next.fi › enNext Official Site: Online Fashion, Kids Clothes & Homeware

   www.next.fi › en

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   Womens. Shop the latest women's, men's and children's fashion plus homeware, beauty and more. Next day delivery and free returns available. Shop now!

7. www.pythontutorial.net › python-nextPython next() function by Practical Examples - Python Tutorial

   www.pythontutorial.net › python-next

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   2) Using Python next () function to skip heading when reading a csv file. The following example uses the built-in csv module to read the country.csv file with the following information: import csv. with open( 'country.csv', encoding= 'utf8') as f: csv_reader = csv.reader(f) # skip the header.