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in Python. Python Data Visualization Cookbook is for developers that already know about Python programming in general. If you have heard about data;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book's programming-friendly;
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Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This books programming-friendly;
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Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business;
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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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Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;
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Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;
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* Learn how to set up an optimal Python environment for data visualization * Understand how to import, clean and organize your data * Determine;
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and representations Who this book is forData Visualization with Python is designed for developers and scientists, who want to get into data;
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This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists;
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moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use;
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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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The integration of programming examples enhances the understanding of the theory Uses open-source Python which allows for easy programming;
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The integration of programming examples enhances the understanding of the theory Uses open-source Python which allows for easy programming;
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Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key Features;
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programming language Python. You can learn solid software design skills and accomplish practical programming tasks, like extending applications;
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in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning;
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fourth part on data visualization shows how to plot data and draw a figure for an article or slide presentation. The fifth part covers the;
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efficient interfaces to Python for data analysis and interactive visualization, and they constitute an ideal gateway to the platform. IPython;
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code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and;
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