{"product_id":"pandas-for-everyone","title":"Pandas for Everyone","description":"Today, analysts must manage data characterised by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualise it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. \u003cbr\u003e \u003cbr\u003e Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualisation. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. \u003cbr\u003e \u003cbr\u003e Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. \u003cul\u003e  \u003cli\u003eWork with DataFrames and Series, and import or export data \u003c\/li\u003e  \u003cli\u003eCreate plots with matplotlib, seaborn, and pandas \u003c\/li\u003e  \u003cli\u003eCombine datasets and handle missing data \u003c\/li\u003e  \u003cli\u003eReshape, tidy, and clean datasets so they’re easier to work with \u003c\/li\u003e  \u003cli\u003eConvert data types and manipulate text strings \u003c\/li\u003e  \u003cli\u003eApply functions to scale data manipulations \u003c\/li\u003e  \u003cli\u003eAggregate, transform, and filter large datasets with groupby \u003c\/li\u003e  \u003cli\u003eLeverage Pandas’ advanced date and time capabilities \u003c\/li\u003e  \u003cli\u003eFit linear models using statsmodels and scikit-learn libraries \u003c\/li\u003e  \u003cli\u003eUse generalised linear modeling to fit models with different response variables \u003c\/li\u003e  \u003cli\u003eCompare multiple models to select the “best” \u003c\/li\u003e  \u003cli\u003eRegularise to overcome overfitting and improve performance\u003c\/li\u003e \u003c\/ul\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":45998723662062,"sku":"9780134546933","price":48.85,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0630\/9612\/7726\/files\/0134546938.jpg?v=1733540040","url":"https:\/\/bookland.com.au\/products\/pandas-for-everyone","provider":"Book Land AU","version":"1.0","type":"link"}