Python-Bootcamp-for-Data-Science-2021-Numpy-Pandas-Seaborn

Jupyter notebooks files for the course: Udemy Course: Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
data		data
exercises		exercises
figures		figures
img		img
0.0 Table of Contents.ipynb		0.0 Table of Contents.ipynb
10.1 Hierarchical Indexing.ipynb		10.1 Hierarchical Indexing.ipynb
10.2 Reordering and Sorting Levels.ipynb		10.2 Reordering and Sorting Levels.ipynb
10.3 Summary Statistics By Level.ipynb		10.3 Summary Statistics By Level.ipynb
10.4 Indexing with columns in Dataframe.ipynb		10.4 Indexing with columns in Dataframe.ipynb
11.1 Merging Datasets on Keys (common columns).ipynb		11.1 Merging Datasets on Keys (common columns).ipynb
11.2 Merging Datasets on Index.ipynb		11.2 Merging Datasets on Index.ipynb
11.3 Concatenating Along An Axis.ipynb		11.3 Concatenating Along An Axis.ipynb
12.1 Reshaping by Stacking and Unstacking.ipynb		12.1 Reshaping by Stacking and Unstacking.ipynb
12.2 Reshaping by Melting (Wide to Long).ipynb		12.2 Reshaping by Melting (Wide to Long).ipynb
12.3 Reshaping by Pivoting (Long to Wide).ipynb		12.3 Reshaping by Pivoting (Long to Wide).ipynb
13.1 Introducing Matplotlib Library.ipynb		13.1 Introducing Matplotlib Library.ipynb
13.10 Bar Plots with Dataframes.ipynb		13.10 Bar Plots with Dataframes.ipynb
13.11 Bar Plots with Seaborn.ipynb		13.11 Bar Plots with Seaborn.ipynb
13.12 Histograms and Density Plots.ipynb		13.12 Histograms and Density Plots.ipynb
13.13 Scatter Plots and Pair Plots.ipynb		13.13 Scatter Plots and Pair Plots.ipynb
13.14 Factor Plots for Categorical Data.ipynb		13.14 Factor Plots for Categorical Data.ipynb
13.2 Creating Figures and Subplots.ipynb		13.2 Creating Figures and Subplots.ipynb
13.3 Changing Colors, Markers and Linestyle.ipynb		13.3 Changing Colors, Markers and Linestyle.ipynb
13.4 Customizing Ticks and labels.ipynb		13.4 Customizing Ticks and labels.ipynb
13.5 Adding Legends.ipynb		13.5 Adding Legends.ipynb
13.6 Adding Texts and Arrows on a Plot.ipynb		13.6 Adding Texts and Arrows on a Plot.ipynb
13.7 Adding Annotations and Drawings on a Plot.ipynb		13.7 Adding Annotations and Drawings on a Plot.ipynb
13.8 Saving Plots to File.ipynb		13.8 Saving Plots to File.ipynb
13.9 Line Plots with Dataframe.ipynb		13.9 Line Plots with Dataframe.ipynb
14.1 Date and time Data types.ipynb		14.1 Date and time Data types.ipynb
14.2 Converting Between String and Datetime.ipynb		14.2 Converting Between String and Datetime.ipynb
14.3 Basics of Time Series.ipynb		14.3 Basics of Time Series.ipynb
14.4 Generating Date Ranges.ipynb		14.4 Generating Date Ranges.ipynb
14.5 Shifting Data Through Time (Lagging and Leading).ipynb		14.5 Shifting Data Through Time (Lagging and Leading).ipynb
14.6 Handling Time Zone.ipynb		14.6 Handling Time Zone.ipynb
14.7 Resampling and Frequency Conversion.ipynb		14.7 Resampling and Frequency Conversion.ipynb
14.8 Rolling and Moving Windows.ipynb		14.8 Rolling and Moving Windows.ipynb
3.1 Running Jupyter Notebook.ipynb		3.1 Running Jupyter Notebook.ipynb
3.2 Tour In Basics Of Jupyter Notebook.ipynb		3.2 Tour In Basics Of Jupyter Notebook.ipynb
3.3 Cell Types In Jupyter Notebook.ipynb		3.3 Cell Types In Jupyter Notebook.ipynb
3.4 Getting Help.ipynb		3.4 Getting Help.ipynb
3.5 Magic Commands.ipynb		3.5 Magic Commands.ipynb
4.1 Tuples.ipynb		4.1 Tuples.ipynb
4.2 Lists.ipynb		4.2 Lists.ipynb
4.3 Dictionary.ipynb		4.3 Dictionary.ipynb
4.4 Set.ipynb		4.4 Set.ipynb
5.1 Creating and Calling Functions.ipynb		5.1 Creating and Calling Functions.ipynb
5.2 Returning Multiple Values.ipynb		5.2 Returning Multiple Values.ipynb
5.3 Lambda Functions.ipynb		5.3 Lambda Functions.ipynb
6.1 What Is NumPy Arrays (Ndarrays).ipynb		6.1 What Is NumPy Arrays (Ndarrays).ipynb
6.10 Mathematical and Statistical methods.ipynb		6.10 Mathematical and Statistical methods.ipynb
6.11 Sorting Arrays.ipynb		6.11 Sorting Arrays.ipynb
6.12 File Input and Output with Arrays.ipynb		6.12 File Input and Output with Arrays.ipynb
6.2 Creating Ndarrays.ipynb		6.2 Creating Ndarrays.ipynb
6.3 Data Types For Ndarrays.ipynb		6.3 Data Types For Ndarrays.ipynb
6.4 Arithmetic With NumPy Arrays.ipynb		6.4 Arithmetic With NumPy Arrays.ipynb
6.5 Indexing And Slicing-part One.ipynb		6.5 Indexing And Slicing-part One.ipynb
6.6 Indexing And Slicing-part Two.ipynb		6.6 Indexing And Slicing-part Two.ipynb
6.7 Boolean Indexing.ipynb		6.7 Boolean Indexing.ipynb
6.8 Fancy Indexing.ipynb		6.8 Fancy Indexing.ipynb
6.9 Transposing Arrays.ipynb		6.9 Transposing Arrays.ipynb
7.1 Series in Pandas.ipynb		7.1 Series in Pandas.ipynb
7.10 Correlation and Covariance.ipynb		7.10 Correlation and Covariance.ipynb
7.2 Dataframe in Pandas.ipynb		7.2 Dataframe in Pandas.ipynb
7.3 index Objects.ipynb		7.3 index Objects.ipynb
7.4 Reindexing.ipynb		7.4 Reindexing.ipynb
7.5 Deleting Rows and Columns.ipynb		7.5 Deleting Rows and Columns.ipynb
7.6 Indexing, Slicing and Filtering.ipynb		7.6 Indexing, Slicing and Filtering.ipynb
7.7 Arithmetic with Dataframe.ipynb		7.7 Arithmetic with Dataframe.ipynb
7.8 Sorting Series and Dataframe.ipynb		7.8 Sorting Series and Dataframe.ipynb
7.9 Descriptive Statistics with Dataframe.ipynb		7.9 Descriptive Statistics with Dataframe.ipynb
8.1 Reading Data In Text Format.ipynb		8.1 Reading Data In Text Format.ipynb
8.2 Reading Data In Text Format-part 2.ipynb		8.2 Reading Data In Text Format-part 2.ipynb
8.3 Writing Data in Text Format.ipynb		8.3 Writing Data in Text Format.ipynb
8.4 Reading Microsoft Excel Files.ipynb		8.4 Reading Microsoft Excel Files.ipynb
9.1 Handling Missing Data.ipynb		9.1 Handling Missing Data.ipynb
9.10 String Object Methods.ipynb		9.10 String Object Methods.ipynb
9.2 Filtering out Missing Data.ipynb		9.2 Filtering out Missing Data.ipynb
9.3 Filling in Missing Data.ipynb		9.3 Filling in Missing Data.ipynb
9.4 Removing Duplicate Entries.ipynb		9.4 Removing Duplicate Entries.ipynb
9.5 Replacing Values.ipynb		9.5 Replacing Values.ipynb
9.6 Renaming columns and index labels.ipynb		9.6 Renaming columns and index labels.ipynb
9.7 Filtering Outliers.ipynb		9.7 Filtering Outliers.ipynb
9.8 Shuffling and Random Sampling.ipynb		9.8 Shuffling and Random Sampling.ipynb
9.9 Dummy Variables.ipynb		9.9 Dummy Variables.ipynb
README.md		README.md
Real World Example-Housing.ipynb		Real World Example-Housing.ipynb

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