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Exploratory Data Analysis with Python Cookbook

Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

par Ayodele Oluleye ...

Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain practical experience in conducting EDA on a single variable of interest in PythonLearn the different techniques for analyzing and exploring tabular, time series, and textual data in PythonGet ... En savoir plus

$42.99 CAD ou Gratuit avec Kobo Plus

Extract valuable insights from data by leveraging various analysis and visualization techniques with this comprehensive guide Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain practical experience in conducting EDA on a single variable of interest in PythonLearn the different techniques for analyzing and exploring tabular, time series, and textual data in PythonGet
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Generating Optimal Execution Plans

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A poorly performing database application not only costs users time, but also has an impact on other applications running on the same computer or the same network. SQL Tuning provides an essential next step for SQL developers and database administrators who want to extend their SQL tuning expertise and get the most from their database applications.There are two basic issues to focus on when tuning ... En savoir plus

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A poorly performing database application not only costs users time, but also has an impact on other applications running on the same computer or the same network. SQL Tuning provides an essential next step for SQL developers and database administrators who want to extend their SQL tuning expertise and get the most from their database applications.There are two basic issues to focus on when tuning
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Python: Real-World Data Science

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A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn ... En savoir plus

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A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn
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Python: Data Analytics and Visualization

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Because there is so much of a buzz around the R programming language in the data science and analytics world, in health-care and other domains, I wrote a book on R-programming for data analysis. The book aims to teach data analysis using R within a single day to anyone who already knows some programming in any other language. The book has sample code (which can be downloaded as a zip file from the ... En savoir plus

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Because there is so much of a buzz around the R programming language in the data science and analytics world, in health-care and other domains, I wrote a book on R-programming for data analysis. The book aims to teach data analysis using R within a single day to anyone who already knows some programming in any other language. The book has sample code (which can be downloaded as a zip file from the
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Groovy Programming is an introduction to the Java-based scripting language Groovy. Groovy has much in common with popular scripting languages such as Perl, Python, and Ruby, but is written in a Java-like syntax. And, unlike these other languages, Groovy is sanctioned by the Java community for use on the Java platform. Since it is based on Java, applications written in Groovy can make full use of
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The book will start with quick introductions to Python and its ecosystem libraries for data science such as JupyterLab, Numpy, Pandas, SciPy, Matplotlib, and Seaborn.This book will help in learning python data structures and essential concepts such as Functions, Lambdas, List comprehensions, Datetime objects, etc. required for data engineering. It also covers an in-depth understanding of Python
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Exploratory Data Analysis with Python Cookbook

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Python for Data Science

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Become a Python Data Analyst

Pandas Cookbook

Hands-on Data Analysis and Visualization with Pandas

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