jmportilla's
repositories
|
.ipynb_checkpoints
|
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
|
.gitattributes
|
.gitignore
|
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
|