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Hands-On Data Analysis with NumPy and pandas

, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for;

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Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and An

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Hands-On Data Analysis with Pandas

Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery Key Features;

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Hands-On Data Analysis with Pandas

Data Analysis with Pandas is here to help beginners and those who are migrating their skills into data science get up to speed in no time;

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Become a Python Data Analyst

Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Practical Python Data Visualization

. Later chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. You'll;

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Practical Python Data Visualization

chapters are focused on various NumPy routines along with getting started with Scientific Data visualization using matplotlib. Yoüll review the;

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Hands-on Machine Learning with Python

analysis tools using Python with in-depth explanation on environment configuration, data loading, numerical processing, data analysis, and;

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Practical Data Analysis Cookbook

Over 60 practical recipes on data exploration and analysis About This Book * Clean dirty data, extract accurate information, and;

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SciPy Recipes

* Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib * Effective recipes on advanced scientific computations;

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Getting Started with Python Data Analysis

in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and Matplotlib * Create, manipulate;

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Apache Spark for Data Science Cookbook

with these hands-on recipes * Implement end-to-end, large-scale data analysis better than ever before * Work with powerful libraries such as;

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Learning Ipython for Interactive Computing and Data Visualization

of Python in the Jupyter Notebook * Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn * Perform highly-efficient numerical;

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Pandas for Everyone

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by;

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Learning Pandas

comfortable in performing data exploration and analysis on Python using pandas Step-by-step demonstration of using Python and pandas with interactive;

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Learning pandas -

Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book;

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Python Data Analytics

computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn. This revision is fully updated with new content on;

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Python

libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to;

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Data Science at Scale with Python and Dask

and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience;

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Mastering pandas

analysis using pandas on complex data, and become an expert data analyst or data scientist in the process. What you will learn Speed up your data;

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Data Visualization Python Javascript

-scraping tools, BeautifulSoup and Scrapy Clean and explore data with Python's Pandas, Matplotlib, and Numpy libraries Serve data and create RESTful;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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Python Programming for Data Analysis

that are foundational for effective data analysis, starting with Numpy. The book develops key Numpy concepts and discusses internal Numpy array;

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Python Data Mining Quick Start Guide

loading, cleaning, analysis, and visualization Use the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data;

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Python Data Analysis -

, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data;

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Python Data Science Handbook

do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar;

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