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Mastering Data Visualization with Python
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[TutsNode.com] - Mastering Data Visualization with Python (Size: 3.88 GB) (Files: 221)
[TutsNode.com] - Mastering Data Visualization with Python
05 Python for Absolute Beginners
073 Pandas DataFrame - Dealing with Rows.mp4
055 Section-5c-Pandas-Refresher.ipynb
055 Section-5a-Python-Refresher.ipynb
073 Pandas DataFrame - Dealing with Rows.en.srt
060 List - Part 1.en.srt
066 Numpy - Part 1.en.srt
058 Getting Started with Python.en.srt
071 Importing .csv Files as DataFrame.en.srt
055 Section-5b-Numpy-Refresher.ipynb
067 Numpy - Part 2.en.srt
069 Pandas - Series and DataFrame.en.srt
072 Pandas DataFrame - Dealing with Columns.en.srt
055 Piece-Dim.csv
057 Jupyter Notebook.en.srt
068 Numpy - Part 3.en.srt
070 Pandas DataFrame.en.srt
055 Download Section 5 Resources.html
062 Dictionary.en.srt
069 Pandas - Series and DataFrame.mp4
056 Installing Anaconda.en.srt
063 Tuple.en.srt
061 List - Part 2.en.srt
059 Variables and Types.en.srt
065 Logical Operators.en.srt
064 Set.en.srt
060 List - Part 1.mp4
071 Importing .csv Files as DataFrame.mp4
067 Numpy - Part 2.mp4
066 Numpy - Part 1.mp4
058 Getting Started with Python.mp4
072 Pandas DataFrame - Dealing with Columns.mp4
056 Installing Anaconda.mp4
070 Pandas DataFrame.mp4
057 Jupyter Notebook.mp4
068 Numpy - Part 3.mp4
062 Dictionary.mp4
059 Variables and Types.mp4
061 List - Part 2.mp4
063 Tuple.mp4
065 Logical Operators.mp4
064 Set.mp4
01 Introduction
002 Section-1-Python-Refresher.ipynb
002 Download Section 1 Resources.html
003 Python Refresher - Part 1.en.srt
external-assets-links.txt
006 Pandas Refresher.en.srt
004 Python Refresher - Part 2.en.srt
005 Numpy Refresher.en.srt
006 Pandas Refresher.mp4
001 Study Plan - Please do NOT skip this.en.srt
003 Python Refresher - Part 1.mp4
001 Study Plan - Please do NOT skip this.mp4
004 Python Refresher - Part 2.mp4
005 Numpy Refresher.mp4
03 Matplotlib Library for Plots
024 Bar Plot.en.srt
032 Arrow and Annotation on the Plot.en.srt
022 Line Plot Part 1.en.srt
033 Bar Plot and Pie Plot.en.srt
024 Bar Plot.mp4
021 Download Section 3 Resources.html
032 Arrow and Annotation on the Plot.mp4
031 Creating a Plot with Two Axes.en.srt
025 Box Plot.en.srt
027 Scatter Plot.en.srt
029 Subplots approach - An Introduction.en.srt
023 Line Plot Part 2.en.srt
030 The First Plot Using Subplots Approach.en.srt
026 Histogram.en.srt
028 Pie Plot.en.srt
022 Line Plot Part 1.mp4
033 Bar Plot and Pie Plot.mp4
025 Box Plot.mp4
029 Subplots approach - An Introduction.mp4
031 Creating a Plot with Two Axes.mp4
021 Section-3-Matplotlib-Library.ipynb
023 Line Plot Part 2.mp4
030 The First Plot Using Subplots Approach.mp4
028 Pie Plot.mp4
026 Histogram.mp4
027 Scatter Plot.mp4
04 Seaborn Library for Plots
036 Seaborn Library for Plotting - Introduction.en.srt
051 Setting the Plot Styles.mp4
040 Line Plot using the Seaborn Library.en.srt
035 Scatter Plot and Histogram.en.srt
053 Choosing an Appropriate Color Palette.en.srt
042 Displot - Part 2 (Histogram, KDE, ECDF and Rug Plots).en.srt
051 Setting the Plot Styles.en.srt
046 Box Plot and Violin Plot.en.srt
049 Pair Plot (Multiple Scatter + Histogram Plots).en.srt
038 Scatter Plot using the Seaborn Library - Part 1.en.srt
047 Bar Plot and Point Plot.en.srt
037 Types of Plots in Seaborn.en.srt
048 Joint Plot (Scatter + Histogram).en.srt
034 Download Section 4 Resources.html
045 Strip Plot and Swarm Plot.en.srt
039 Scatter Plot using the Seaborn Library - Part 2.en.srt
041 Displot - Part 1 (Histogram, KDE, ECDF and Rug Plots).en.srt
054 Setting the Plot Themes.en.srt
044 Catplot - Introduction.en.srt
036 Seaborn Library for Plotting - Introduction.mp4
053 Choosing an Appropriate Color Palette.mp4
043 Two Dimensional Displots.en.srt
050 Regression or Linear Model Plot.en.srt
052 Setting the Plot Context.en.srt
035 Scatter Plot and Histogram.mp4
040 Line Plot using the Seaborn Library.mp4
038 Scatter Plot using the Seaborn Library - Part 1.mp4
046 Box Plot and Violin Plot.mp4
049 Pair Plot (Multiple Scatter + Histogram Plots).mp4
054 Setting the Plot Themes.mp4
037 Types of Plots in Seaborn.mp4
048 Joint Plot (Scatter + Histogram).mp4
042 Displot - Part 2 (Histogram, KDE, ECDF and Rug Plots).mp4
045 Strip Plot and Swarm Plot.mp4
043 Two Dimensional Displots.mp4
047 Bar Plot and Point Plot.mp4
050 Regression or Linear Model Plot.mp4
041 Displot - Part 1 (Histogram, KDE, ECDF and Rug Plots).mp4
039 Scatter Plot using the Seaborn Library - Part 2.mp4
052 Setting the Plot Context.mp4
044 Catplot - Introduction.mp4
034 Section-4-Plots-using-Seaborn.ipynb
02 Getting Data and Using the Pandas Package to Plot
007 Download Section 2 Resources.html
013 Line Plot Continued.en.srt
009 Getting Data for Plotting - Part 2.en.srt
019 Summary of Commonly Used Plots.en.srt
012 Refining the First Plot.en.srt
020 Download Section 3 Resources.html
007 Section-2-Resources-Python-Visualization-Summary.pdf
015 Box Plot.en.srt
011 First Plot Using Pandas.en.srt
014 Bar Plot.en.srt
016 Histogram and KDE Plot.en.srt
018 Pie Plot.en.srt
008 Getting Data for Plotting - Part 1.en.srt
010 Anatomy of a Figure.en.srt
017 Scatter Plot.en.srt
007 Two-Machines.csv
009 Getting Data for Plotting - Part 2.mp4
007 Section-2-Pandas-Plotting.ipynb
012 Refining the First Plot.mp4
015 Box Plot.mp4
020 Section-3-Matplotlib-Library.ipynb
019 Summary of Commonly Used Plots.mp4
011 First Plot Using Pandas.mp4
018 Pie Plot.mp4
010 Anatomy of a Figure.mp4
014 Bar Plot.mp4
016 Histogram and KDE Plot.mp4
013 Line Plot Continued.mp4
008 Getting Data for Plotting - Part 1.mp4
017 Scatter Plot.mp4
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