{"id":37779,"date":"2026-09-08T18:01:34","date_gmt":"2026-09-08T16:01:34","guid":{"rendered":"https:\/\/www.vita.sk\/?post_type=product&#038;p=37779"},"modified":"2026-10-11T19:09:10","modified_gmt":"2026-10-11T17:09:10","slug":"online-kurz-python-polars-analyza-spracovanie-dat","status":"publish","type":"product","link":"https:\/\/www.vita.sk\/en\/online-kurz-python-polars-analyza-spracovanie-dat\/","title":{"rendered":"Online kurz Kni\u017enica Polars v Pythone"},"content":{"rendered":"<p>Online kurz Kni\u017enica Polars v Pythone je pre v\u00e1s ide\u00e1lny, ak u\u017e pozn\u00e1te z\u00e1klady Pythonu a chcete ich vyu\u017ei\u0165 pri spracovan\u00ed a anal\u00fdze tabu\u013ekov\u00fdch \u00fadajov. <strong>Ide o certifikovan\u00fd online kurz na kni\u017enicu Polars v Pythone.<\/strong> Spolo\u010dne si predstav\u00edme d\u00e1tov\u00e9 r\u00e1mce DataFrame, v ktor\u00fdch organizujeme \u00fadaje do riadkov a st\u013apcov. Vysvetl\u00edme si, kedy m\u00e1 v\u00fdznam prenies\u0165 opakovan\u00e9 d\u00e1tov\u00e9 \u00falohy z tabu\u013ekov\u00e9ho procesora do programov\u00e9ho k\u00f3du a \u010do pri tom potrebujeme zoh\u013eadni\u0165. Zameriame sa na orient\u00e1ciu v kni\u017enici, pr\u00edpravu prostredia a praktick\u00fa pr\u00e1cu s \u00fadajmi. Z\u00edskan\u00e9 poznatky vyu\u017eijete pri pr\u00edprave analytick\u00fdch podkladov, spracovan\u00ed exportov alebo odovzd\u00e1van\u00ed v\u00fdsledkov kolegom.<\/p>\n<p>&nbsp;<\/p>\n<p>Polars v Pythone zasad\u00edme do \u0161ir\u0161ieho kontextu d\u00e1tov\u00fdch n\u00e1strojov a porovn\u00e1me jeho vyu\u017eitie s Pandas a Apache Spark. V\u00fdznamn\u00fa \u010das\u0165 venujeme technol\u00f3gi\u00e1m Apache Parquet a Apache Arrow. Parquet sl\u00fa\u017ei na ukladanie \u00fadajov do st\u013apcovo orientovan\u00fdch s\u00faborov, zatia\u013e \u010do Arrow definuje aj sp\u00f4sob reprezent\u00e1cie st\u013apcov\u00fdch \u00fadajov v pam\u00e4ti. Objasn\u00edme si tie\u017e prepojenie form\u00e1tu Feather s Arrow a d\u00f4vody, pre\u010do pri v\u00fdbere form\u00e1tu z\u00e1le\u017e\u00ed na \u010fal\u0161om pou\u017eit\u00ed d\u00e1t. Precvi\u010d\u00edme si exporty do Microsoft Excelu a Feather. Pri Parquet porovn\u00e1me kompresn\u00e9 algoritmy Snappy, Gzip a Brotli. Budeme sledova\u0165 s\u00favislos\u0165 medzi ve\u013ekos\u0165ou s\u00faborov a r\u00fdchlos\u0165ou pr\u00e1ce, aby sme vedeli posudzova\u0165 v\u00fdsledky pod\u013ea konkr\u00e9tnych \u00fadajov a dostupn\u00e9ho hardv\u00e9ru.<\/p>\n<p>&nbsp;<\/p>\n<p>Kni\u017enicu Polars v Pythone m\u00f4\u017eete \u0161tudova\u0165 online, v sloven\u010dine a vlastn\u00fdm tempom. Obozn\u00e1mime sa aj s prostred\u00edm Google Colab a mo\u017enos\u0165ami nastavenia grafick\u00e9ho procesora GPU. Pri samostatnom precvi\u010dovan\u00ed odpor\u00fa\u010dame meni\u0165 vstupn\u00e9 \u00fadaje, porovn\u00e1va\u0165 exportovan\u00e9 s\u00fabory a kontrolova\u0165 zachovanie ich obsahu. Takto si upevn\u00edte s\u00favislosti medzi d\u00e1tov\u00fdm r\u00e1mcom, s\u00faborov\u00fdm form\u00e1tom a v\u00fdsledn\u00fdm v\u00fdstupom. Pred za\u010diatkom odpor\u00fa\u010dame sk\u00fasenosti s premenn\u00fdmi, zoznamami, slovn\u00edkmi, podmienkami a funkciami v Pythone. K dispoz\u00edcii m\u00e1te ro\u010dn\u00fd pr\u00edstup, materi\u00e1ly na stiahnutie a po \u00faspe\u0161nom absolvovan\u00ed certifik\u00e1t VITA. Ak sa chcete skuto\u010dne nau\u010di\u0165 pou\u017e\u00edva\u0165 kni\u017enicu Polars v Pythone na anal\u00fdzu a spracovanie d\u00e1t, tak toto je ide\u00e1lny vstupn\u00fd online kurz pre v\u00e1s.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Online kurz Python Polars &#8211; Anal\u00fdza a Spracovanie D\u00e1t v\u00e1s nau\u010d\u00ed pou\u017e\u00edva\u0165 kni\u017enicu Polars na pr\u00e1cu s tabu\u013ekov\u00fdmi \u00fadajmi, porovna\u0165 jej mo\u017enosti s Pandas a Apache Spark, orientova\u0165 sa v Parquet a Apache Arrow, exportova\u0165 d\u00e1ta do Microsoft Excelu a form\u00e1tu Feather, porovna\u0165 kompresn\u00e9 algoritmy Snappy, Gzip a Brotli a pracova\u0165 v prostred\u00ed Google Colab s mo\u017enos\u0165ami nastavenia GPU.","protected":false},"author":4,"featured_media":36274,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[106,722,49],"product_tag":[188,212,1052,1053,1054,1055,1056,1057,1058,1059,1060,1061],"class_list":{"0":"post-37779","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-online-kurzy-python","7":"product_cat-online-kurzy-velke-data-big-data","8":"product_cat-online-kurzy-databazy-statistika-analytika","9":"product_tag-databazy-a-analytika","10":"product_tag-python","11":"product_tag-polars","12":"product_tag-datova-analyza","13":"product_tag-spracovanie-dat","14":"product_tag-data-science","15":"product_tag-big-data","16":"product_tag-parquet","17":"product_tag-apache-arrow","18":"product_tag-feather","19":"product_tag-pandas","20":"product_tag-google-colab","22":"first","23":"instock","24":"sale","25":"virtual","26":"sold-individually","27":"taxable","28":"purchasable","29":"product-type-simple"},"yoast_head":"<!-- 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