GitHub - tinkerjs/DataAnalyticsLearning: Notebooks for Learning Data and Analytics with Python

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Notebooks for Learning Data and Analytics with Python

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Projects/Titanic		Projects/Titanic
.gitattributes		.gitattributes
.gitignore		.gitignore
Bokeh - Intro.ipynb		Bokeh - Intro.ipynb
LEcture 22 - Summary Statistics.ipynb		LEcture 22 - Summary Statistics.ipynb
Lecture 10 - Array Transposition.ipynb		Lecture 10 - Array Transposition.ipynb
Lecture 11 - Universal Array Functions.ipynb		Lecture 11 - Universal Array Functions.ipynb
Lecture 12 - Array Processing.ipynb		Lecture 12 - Array Processing.ipynb
Lecture 13 - Array Input and Output.ipynb		Lecture 13 - Array Input and Output.ipynb
Lecture 14 - Series.ipynb		Lecture 14 - Series.ipynb
Lecture 15 - Data Frames.ipynb		Lecture 15 - Data Frames.ipynb
Lecture 16 - Index Objects.ipynb		Lecture 16 - Index Objects.ipynb
Lecture 17 - Reindexing.ipynb		Lecture 17 - Reindexing.ipynb
Lecture 18 - Drop Entry.ipynb		Lecture 18 - Drop Entry.ipynb
Lecture 19 - Selecting Entries.ipynb		Lecture 19 - Selecting Entries.ipynb
Lecture 20 - Data Alignment.ipynb		Lecture 20 - Data Alignment.ipynb
Lecture 21 - Rank and Sort.ipynb		Lecture 21 - Rank and Sort.ipynb
Lecture 23 - Missing Data.ipynb		Lecture 23 - Missing Data.ipynb
Lecture 24 - Index Hierarchy.ipynb		Lecture 24 - Index Hierarchy.ipynb
Lecture 25 - Reading and Writing Text Files.ipynb		Lecture 25 - Reading and Writing Text Files.ipynb
Lecture 26 - JSON With Python.ipynb		Lecture 26 - JSON With Python.ipynb
Lecture 27 - HTML With python.ipynb		Lecture 27 - HTML With python.ipynb
Lecture 28 - Excel with Python.ipynb		Lecture 28 - Excel with Python.ipynb
Lecture 29 - Merge.ipynb		Lecture 29 - Merge.ipynb
Lecture 30 - Merge on Index.ipynb		Lecture 30 - Merge on Index.ipynb
Lecture 31 - Concatenate.ipynb		Lecture 31 - Concatenate.ipynb
Lecture 32 - Combine Data Frames .ipynb		Lecture 32 - Combine Data Frames .ipynb
Lecture 33 - Reshaping.ipynb		Lecture 33 - Reshaping.ipynb
Lecture 34 - Pivoting.ipynb		Lecture 34 - Pivoting.ipynb
Lecture 35 - Duplicates in Data Frames.ipynb		Lecture 35 - Duplicates in Data Frames.ipynb
Lecture 36 - Mapping.ipynb		Lecture 36 - Mapping.ipynb
Lecture 37 - Replace.ipynb		Lecture 37 - Replace.ipynb
Lecture 38 - Renaming index.ipynb		Lecture 38 - Renaming index.ipynb
Lecture 39 - Binning.ipynb		Lecture 39 - Binning.ipynb
Lecture 40 - Outliers.ipynb		Lecture 40 - Outliers.ipynb
Lecture 41 - Permutation.ipynb		Lecture 41 - Permutation.ipynb
Lecture 42 - Groupby on DataFrames.ipynb		Lecture 42 - Groupby on DataFrames.ipynb
Lecture 44 - Aggregation.ipynb		Lecture 44 - Aggregation.ipynb
Lecture 45 - Splitting Applying and Combining.ipynb		Lecture 45 - Splitting Applying and Combining.ipynb
Lecture 46 - Cross tabulation.ipynb		Lecture 46 - Cross tabulation.ipynb
Lecture 48 - Histograms.ipynb		Lecture 48 - Histograms.ipynb
Lecture 49 - Kernel Density Esitmation.ipynb		Lecture 49 - Kernel Density Esitmation.ipynb
Lecture 51 - Box and Violin Plots.ipynb		Lecture 51 - Box and Violin Plots.ipynb
Lecture 52 - Regression Plots.ipynb		Lecture 52 - Regression Plots.ipynb
Lecture 53 - Heatmaps and Clustered Matrices.ipynb		Lecture 53 - Heatmaps and Clustered Matrices.ipynb
Lecture 7 - Creating Arrays.ipynb		Lecture 7 - Creating Arrays.ipynb
Lecture 8 - Using Arrays and Scalers.ipynb		Lecture 8 - Using Arrays and Scalers.ipynb
Lecture 9 - Indexing Arrays.ipynb		Lecture 9 - Indexing Arrays.ipynb
Untitled.ipynb		Untitled.ipynb
dashboard.html		dashboard.html
lecture25.csv		lecture25.csv
lecture28.xlsx		lecture28.xlsx
lines.html		lines.html
log_lines.html		log_lines.html
myTextArray.txt		myTextArray.txt
myarray.npy		myarray.npy
mytextdata_out.csv		mytextdata_out.csv
winequality-red.csv		winequality-red.csv
ziparray.npz		ziparray.npz