{"id":92132,"date":"2024-05-04T14:53:13","date_gmt":"2024-05-04T12:53:13","guid":{"rendered":"https:\/\/dev.promoculture.lu\/web\/produit\/non%20class\u00e9\/python-for-data-analysis\/"},"modified":"2026-03-24T17:25:31","modified_gmt":"2026-03-24T16:25:31","slug":"python-for-data-analysis","status":"publish","type":"product","link":"https:\/\/dev.promoculture.lu\/web\/produit\/entrepreneuriat\/informatique-et-electronique\/python-for-data-analysis\/","title":{"rendered":"Python for Data Analysis"},"content":{"rendered":"<p>Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You&rsquo;ll learn the latest versions of pandas, NumPy, and Jupyter in the process.<\/p>\n<p>Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It&rsquo;s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.<\/p>\n<ul>\n<li>Use the Jupyter notebook and IPython shell for exploratory computing<\/li>\n<li>Learn basic and advanced features in NumPy<\/li>\n<li>Get started with data analysis tools in the pandas library<\/li>\n<li>Use flexible tools to load, clean, transform, merge, and reshape data<\/li>\n<li>Create informative visualizations with matplotlib<\/li>\n<li>Apply the pandas groupby facility to slice, dice, and summarize datasets<\/li>\n<li>Analyze and manipulate regular and irregular time series data<\/li>\n<li>Learn how to solve real-world data analysis problems with thorough, detailed examples<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You&rsquo;ll learn the latest versions of pandas, NumPy, [&hellip;]<\/p>\n","protected":false},"featured_media":92133,"template":"","meta":[],"product_brand":[],"product_cat":[142],"product_tag":[],"class_list":{"0":"post-92132","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-informatique-et-electronique","7":"product_shipping_class-standard","8":"pa_auteurs-wes-mckinney","9":"pa_edition-aout-2022","10":"pa_nombre-de-pages-20857","12":"first","13":"instock","14":"purchasable","15":"product-type-simple"},"exclude_global_add_ons":[],"addons":[],"_links":{"self":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product\/92132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/media\/92133"}],"wp:attachment":[{"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/media?parent=92132"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_brand?post=92132"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_cat?post=92132"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/dev.promoculture.lu\/web\/wp-json\/wp\/v2\/product_tag?post=92132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}