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    Thumbnail 1 of 6, Lightweight Sweatshirt, Panda Programmer Python Programming Language designed and sold by ProjectX23.
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    Lightweight Sweatshirt, Panda Programmer Python Programming Language designed and sold by ProjectX23
    ColorHeather Grey

    Panda Programmer Python Programming Language Lightweight Sweatshirt

    Designed and sold by ProjectX23
    $46.19
    Style
    Lightweight Sweatshirt
    Lightweight SweatshirtEveryday sweatshirt, french terry, raglan sleeve
    Size
    Print Location
    $46.19

    Product features

    • Slim fit, so size up if you prefer a regular fit, or go two sizes up for a baggy fit
    • Raglan sleeve for a great vintage-inspired slim fit
    • Heathered and marled fabric ringspun for softness
    • Midweight 7.5 oz (250gsm) French terry
    • Solid colors are 80% ring-spun cotton, 20% polyester. Heather colors are 60% ring-spun cotton, 40% polyester
    • 1 x 1 rib cuffs and crewneck band with spandex, to maintain shape
    • Washing instructions: Hand or machine wash cold. Do not dry clean, bleach, tumble dry or iron on the print
    • The third party printer of this product is evaluated according to International Labor Organization standards
    • The printer of this product sources blanks from manufacturers committed to improving cotton farming practices with the Better Cotton Initiative
    • Since every item is made just for you by your local third-party fulfiller, there may be slight variances in the product received
    Artwork thumbnail, Panda Programmer Python Programming Language by ProjectX23
    Panda Programmer Python Programming Language
    Panda Programmer Python Programming Language In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals.

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