Hands-On Matplotlib: Learn Plotting and Visualizations with Python 3

Description: Chapter 1: Getting Started with Python and Jupyter Notebook Chapter Goal: Introduce the reader to the basics of Python programming language, philosophy, and installation. We will also learn how to install it on various platforms. This chapter also introduces the readers to Python programming with Jupyter notebook. In the end, we will also have a brief overview of the constituent libraries of SciPy stack. No of pages - 26 Sub -Topics . Python Programming Language . Installing Python on various platforms . Python Modes . Python IDEs . Scientific Python Ecosystem . Overview of Jupyter Notebook . Setting up Jupyter Notebook . Running Code in Jupyter Notebook Chapter 2: Getting Started with NumPy Chapter Goal: Get started with NumPy Ndarrays and basics of NumPy library. The chapter covers the instructions for installation and basic usage of NumPy. No of pages: 9 Sub - Topics: · Introduction to the NumPy Ndarrays · Ndarray Properties · NumPy Constants Chapter 3 : NumPy Routines and Getting started with Matplotlib Chapter goal - In this chapter, we will discuss the various Ndarray creation routines available in NumPy. We will also get started with visualizations with Matplotlib. We will learn how to visualize the various numerical ranges with Matplotlib. No of pages: 15 Sub - Topics: · Routines for creating Ndarrays · Matplotlib · Visualization with NumPy and Matplotlib Chapter 4 : Revisiting Matplotlib Visualizations Chapter goal - This chapter is focused on learning the details of Matplotlib styles for visualizing NumPy Ndarrays. No of pages: 24 Sub - Topics: . Single Line Plots . Multiline plots . Grid, Axes, and Labels . Colors, Lines, and Markers . Subplots . Object Oriented Style . Working with the text Chapter 5 : Styles and Layouts Chapter goal - This chapter is focused on learning the details of Matplotlib styles and layouts. No of pages: 12 Sub - Topics: 1. Styles 2. layouts Chapter 6 : Line, Bar, and Scatter Plots Chapter goal - In this chapter, we will learn how to create nice visualizations with lines, bars, and scatter. No of pages: 14 Sub - Topics: · Lines and Logs · Errorbar · Bar Graphs · Scatter Plot Chapter 7 : Histograms, Contours, and Streamplots Chapter goal - In this chapter, we will learn how to create nice visualizations histograms, contours, and streamplots. No of pages: 15 Sub - Topics: . Histograms . Contours . Plot vector entities with streamplots Chapter 8 : Image and Audio Visualization Chapter goal - Learn to work with Image Processing using NumPy and Matplotlib. Also learn how to process and visualize audio data as waveforms. No of pages: 15 Sub - Topics: . Visualizing images . Interpolation Methods . Audio Visualization . Audio Processing Chapter 9 : Pie and Polar Charts Chapter goal - Learn to work with Pie and Polar charts. No of pages: 12 Sub - Topics: 1. Pie charts 2. Polar charts Chapter 10 : PColor, Pcolormesh, and Colorbar Chapter goal - In this chapter, we will learn Pcolor, Pcolormesh, and colorbar. No of pages: 10 Sub - Topics: 1. PColor 2. Pcolormesh 3. Colorbar Chapter 11 : 3D Visualizations in Matplotlib Chapter goal - In this chapter, we will learn how to create 3D visualizations. No of pages: 17 Sub - Topics: . Getting Ready . Plotting 3D Line . 3D Scatter plot . 3D Contours . Wireframe, Surface, and Sample Data . Bar graphs . Quiver and Stemplot . 3D Volumes Chapter 12 : Animations with Matplotlib Chapter goal - In this chapter, we will learn how to create simple animations with Matplotlib. No of pages: 8 Sub - Topics: . Animation Basics . Celluloid library Chapter 13 : More Recipes of Visualizations with Matplotlib Chapter goal - In this chapter, we will learn more types of visualizations with Matplotlib. No of pages: 14 Sub - Topics: · Visualizing Function as an image and a contour · 3D Vignette · Decorated Scatter Plots · Time plots and Signals · Filled Plots · Step Plots · Hexbins · XKCD Style Chapter 14 : Introduction to Pandas Chapter goal - Get started with Pandas data structures No of pages: 10 Sub - Topics: . Introduction to Pandas . Series in Pandas . Dataframe in Pandas Chapter 15 : Data Acquisition Chapter goal - Read the data from various sources No of pages: 18 Sub - Topics: . Plain Text File Handling . Handling CSV with Python . Python and Excel . Writing and reading files with NumPy . Reading the data from a CSV file with NumPy . Matplotlib CBook . Reading data from a CSV . Reading data from an Excel . Reading data from JSON . Reading data from Pickle . Reading data from Web . Reading data from Relation databases . Reading Data from the clipboard Chapter 16 : Visualizing Data with Pandas and Matplotlib Chapter goal - Get started with Data Visualization with Matplotlib No of pages: 25 . Simple Plots . Bar Graphs . Histogram . Box Plot . Area Plots . Scatter Plot . Hexagonal Bin Plot . Pie Charts Chapter 17 : Introduction to Data Visualization with Seaborn Chapter goal - Get started with Pandas and seaborn No of pages: 20 Sub - Topics: . What is Seaborn? . Plotting statistical Relationships . Plotting Lines . Visualizing the distribution of data Chapter 18 : Visualizing real-life Data with Matplotlib and Seaborn Chapter goal - Get started with COVID and Animal disease datasets and Visualize them No of pages: 20 Sub - Topics: . COVID-19 Pandemic Data . Fetching the Pandemic Data Programmatically . Preparing the data for visualization . Visualization with Matplotlib and Seaborn . Visualization of Animal Disease Data

Price: 119 AUD

Location: Hillsdale, NSW

End Time: 2024-11-12T16:24:20.000Z

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