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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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Python Tools For Scientists

Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior;

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Become a Python Data Analyst

operation and manipulation of Python for data analysis Implement real-world datasets to perform predictive analytics with Python Access modern data;

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Learn Python by Building Data Science Applications

machine learning model accessible to anyone with the web API Who this book is forIf you want to learn Python or data science in a fun and engaging;

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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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Hands-On Data Analysis with Pandas

for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the;

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Practical Python Data Visualization

library. You'll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem;

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Practical Python Data Visualization

. Yoüll also be introduced to the scientific Python 3 ecosystem and work with the basics of NumPy, an integral part of that ecosystem. Later;

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Python For Data Science For Dummies

scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data;

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Python Data Science Handbook

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

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Python for Data Mining Quick Syntax Reference

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Data Science at Scale with Python and Dask

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Getting Started with Python Data Analysis

Learn to use powerful Python libraries for effective data processing and analysis About This Book * Learn the basic processing steps;

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A Python Data Analyst s Toolkit

second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and;

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Introduction to Computation and Programming Using Python, third edition

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Python Data Analytics

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Learning Scientific Programming with Python

Learn to master basic programming tasks from scratch with real-life, scientifically relevant examples and solutions drawn from both science;

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Learning Ipython for Interactive Computing and Data Visualization

Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book * Learn the basics;

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Python Programming for Data Analysis

in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python;

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Python Programming for Data Analysis

in their codes, which is especially helpful for newcomers to both Python and data analysis. To get the most out of this book, open a Python;

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Python Crash Course

Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making;

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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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Python Data Science Essentials

Gain useful insights from your data using popular data science tools Key Features A one-stop guide to Python libraries such as pandas and;

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A Student's Guide to Python for Physical Modeling

samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python;

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A Student's Guide to Python for Physical Modeling

samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python;

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