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The The Applied Data Science Workshop

learning Explore the different functionalities and features of a Jupyter Notebook Discover how Python libraries are used with Jupyter for data;

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Foundational Python for Data Science

through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;

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Jupyter Cookbook

tasks associated with it. What you will learn Install Jupyter and configure engines for Python, R, Scala and more Access and retrieve data on;

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Learning Jupyter 5

Features Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles Leverage big data tools and datasets with different;

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Practical Python Data Visualization

Python Data Visualization you'll master the core concepts of data visualization with Pandas and the Jupyter notebook interface. What You'll;

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Practical Python Data Visualization

practical aspects of Python Data Visualization with programming-friendly abstractions Install Python 3 and Jupyter on multiple platforms including;

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Beginning Data Science with Python and Jupyter

Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets;

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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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IPython Interactive Computing and Visualization Cookbook

interactive computing experiments Visualize data and create interactive plots in the Jupyter Notebook Write blazingly fast Python programs with NumPy;

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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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Learning Jupyter

* Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebook * Use interactive widgets to manipulate and;

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Python Data Science Handbook

. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you'll learn how: IPython and Jupyter;

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Intro to Python for Computer Science and Data Science

and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;

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Data Analysis and Visualization Using Python

decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with;

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Docker for Data Science

how it can be used to build a linked system with Python churning data behind the scenes and Jupyter managing these background tasks. Best;

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Learn Python by Building Data Science Applications

of developing applications with Python and deploy your first data application Take your first steps in Python programming by understanding and using;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This;

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Learning Scientific Programming with Python

to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and;

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Python Data Science Essentials -

science using Python 3.5 * Save time (and effort) with all the essential tools explained * Create effective data science projects and avoid;

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Optimizing Visual Studio Code for Python Development

functions such as linting and debugging in Python. Next, you will set up the environment and run your projects along with the support for Jupyter;

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Optimizing Visual Studio Code for Python Development

functions such as linting and debugging in Python. Next, you will set up the environment and run your projects along with the support for Jupyter;

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A Python Data Analyst s Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Python Projects for Beginners

Immerse yourself in learning Python and introductory data analytics with this book's project-based approach. Through the structure of a ten;

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Hands-On Application Development with PyCharm

specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These;

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A Python Data Analyst's Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Python for Programmers

examples from snippets to case studies IPython + code in Jupyter (R) Notebooks Library-focused: Uses Python Standard Library and data science;

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Practical Data Analysis Using Jupyter Notebook

Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key Features Find;

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