Files

.ipynb_checkpoints
.gitattributes
.gitignore
Course FAQ.ipynb
Data Project - Election Analysis.ipynb
Data Project - Stock Market Analysis.ipynb
Intro to Data Project Section.ipynb
Intro to Data Projects - Titanic.ipynb
Lec 10 - Array Transposition.ipynb
Lec 11 - Universal Array Function.ipynb
Lec 12 - Array Processing.ipynb
Lec 13 - Array Input and Output.ipynb
Lec 14 - Series.ipynb
Lec 15 - DataFrames.ipynb
Lec 16 - Index Objects.ipynb
Lec 17 -Reindexing.ipynb
Lec 18 -Drop Entry.ipynb
Lec 19 - Selecting Entries.ipynb
Lec 20 - Data Alignment.ipynb
Lec 21 - Rank and Sort.ipynb
Lec 22 - Summary Statistics.ipynb
Lec 23 - Missing Data.ipynb
Lec 24 - Index Hierarchy.ipynb
Lec 25 - Reading and Writing Text Files.ipynb
Lec 26 - JSON with Python.ipynb
Lec 27 - HTML with Python.ipynb
Lec 28 - Excel with Python.ipynb
Lec 29 - Merge.ipynb
Lec 30 -Merge on Index.ipynb
Lec 31 - Concatenate.ipynb
Lec 32 - Combining DataFrames.ipynb
Lec 33 - Reshaping.ipynb
Lec 34 - Pivoting.ipynb
Lec 35 - Duplicates in DataFrames.ipynb
Lec 36 - Mapping.ipynb
Lec 37 - Replace.ipynb
Lec 38 - Rename Index.ipynb
Lec 39 - Binning.ipynb
Lec 40 - Outliers.ipynb
Lec 41 - Permutation.ipynb
Lec 42 - GroupBy on DataFrames.ipynb
Lec 43 - Groupby on Dict and Series.ipynb
Lec 44 - Aggregation.ipynb
Lec 45 - Splitting, Applying and Combining.ipynb
Lec 46 - Cross-Tabulation.ipynb
Lec 47 - Installing Seaborn.ipynb
Lec 48 - Histograms.ipynb
Lec 49 - Kernel Density Estimation Plots.ipynb
Lec 50 - Combining Plot Styles.ipynb
Lec 51 - Box and Violin Plots.ipynb
Lec 52 - Regression Plots.ipynb
Lec 53 - Heatmaps and Clustered Matrices.ipynb
Lec 7 - Creating Arrays.ipynb
Lec 8 - Using arrays and scalars.ipynb
Lec 9 -Indexing Arrays.ipynb
Lec_28_test.xlsx
README.md
lec25.csv
lec25.txt
my_array.npy
my_test_text.txt
mytextdata_out.csv
report_summaries_form_3p.csv
two_arrays.npz
winequality_red.csv

lec25.txt

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Feb 23, 2015

5866b25 · Feb 23, 2015