├── .spyproject ├── codestyle.ini ├── encoding.ini ├── vcs.ini └── workspace.ini ├── DL └── dlA003_np.py ├── ML ├── MBA1.py ├── RFM0.py ├── RFM1.py ├── autoarima1.py ├── clustering1.py ├── dt1.py ├── dt2.py ├── knn_iris.py ├── lm1.py ├── lm2.py ├── logR1.py ├── logR2.py ├── mbasket1.py ├── radomF_vis.py ├── randforest1.py └── timeseries1.py ├── README.md ├── SQL ├── py_json.py ├── sipH03_sql_connect.py └── sipH04_sql_connect2.py ├── cases1 ├── EDA_adult.py ├── appleData.py ├── case03_twitter.py ├── case05_multiindex_student.py ├── finData1.py ├── grouping_case4.py ├── sipS05_analyticsdenco.py ├── statscase4-airfare.py ├── statscase4-wages.py ├── statscase5-wages.py ├── studentAlcohol1.py └── usCrimes1.py ├── cases2 ├── diamond_dfply.py ├── iris_gpby_pivottable.py ├── iris_plot_box.py ├── iris_plot_violin.py ├── iris_scatteririsplot1.py ├── mtcars_DMA1.py ├── mtcars_DMA2.py ├── mtcars_analytics.py ├── mtcars_case_blank1.py ├── mtcars_countfactorbarplot.py ├── mtcars_crosstab.py ├── mtcars_facets1.py ├── mtcars_gp_sort_index_filter.py ├── mtcars_multiIndex.py ├── mtcars_multiindex1.py └── mtcars_panel.py ├── current ├── case_grouping.py ├── ts_cases2.py └── ts_cases3.py ├── daily.py ├── daily ├── plotA05_pandasplot.py └── sipA01_daily.py ├── data ├── Pokemon.csv ├── PythonDataAnalysis.xlsx ├── Superstore.xls ├── advertising.csv ├── auto-mpg.csv ├── brain_size.csv ├── cleaned_data.csv ├── csvoutput1.csv ├── csvoutput2.csv ├── daily-min-temperatures.csv ├── data.csv ├── dataforcleaning.csv ├── denco.csv ├── dsstudents.csv ├── example.txt ├── exceloutput.xlsx ├── exceloutput2.xlsx ├── hyperlink.txt ├── iris.csv ├── mnist_small.csv ├── movie_reviews.tsv ├── mtcars.csv ├── mtcars.xlsx ├── mtcarsCSV.csv ├── mtcarsdataset.csv ├── pd8.csv ├── pd8.xlsx ├── pd8b.xlsx ├── pd9b.xlsx ├── pokeman.csv ├── pythondata.xlsx ├── rent_data.csv ├── sbi.csv ├── sfpd_incident_all.csv ├── skills.txt ├── sleep.csv ├── store_data.csv ├── student1.csv ├── studentdata.csv ├── test.txt ├── testing.txt ├── titanic.csv ├── wcwords1.csv ├── yahoo_sbi.csv └── yob2018.txt ├── draft ├── case08_histogram1.py └── sipS01_analyticsairpassengers.py ├── du.csv ├── edm └── admissions.py ├── example.png ├── exportcsv1.csv ├── exportexcel1.xlsx ├── finance ├── Stock_Analysis.py ├── pd_yahoofin.py ├── stock_mpl_finance1.py ├── stocks.txt └── yahoo_stocks.csv ├── graphs ├── Energy_Flow.png └── fig1.png ├── icc.csv ├── kuntal.csv ├── kuntalExcel1.xlsx ├── misc ├── Chapter 2 - Data Processing.py ├── Chapter 3 - Modeling and prediction.py ├── bookref.py ├── chp1.py ├── dataimportgsheet.py ├── misc1.py ├── prediction1.py ├── pyCaseStudents1.py ├── pyFileWrite1.py ├── pyFunctions1.py ├── pyList1.py ├── pyList2.py ├── pyMixedTopics1.py ├── pyPracQ_A02.py ├── pyReadFmFile1.py ├── pyStrings1.py ├── pyTinkerPOP1.py ├── pyWhileLoop1.py ├── python_tricks1.py ├── pytips_A04.py └── roughWork.py ├── mtcars.csv ├── mtcars1.png ├── mtcarsExcel.xlsx ├── newPandas.py ├── plotPlots.py ├── plotsA ├── plt_annotations1.py ├── plt_bar2.py ├── plt_dateFormatter.py ├── plt_fill_between.py ├── plt_grid.py ├── plt_heatmap1.py ├── plt_label1.py ├── plt_label_bar.py ├── plt_label_lines.py ├── plt_label_plot.py ├── plt_label_points.py ├── plt_label_scatter.py ├── plt_lines.py ├── plt_plotly1.py ├── plt_slopegraph1.py ├── plt_sns_label.py ├── plt_stack.py ├── plt_ticks.py ├── plt_venndiagram1.py ├── plt_volatile1.py ├── plt_wordcloud2.py ├── sns_boxplot1.py ├── sns_facet_grid.py ├── sns_heatmap2.py ├── sns_heatmap3.py ├── sns_implot1.py └── sns_swarm.py ├── plotsB ├── myplot.py ├── plot-Links.py ├── plot-tutorial1.py ├── plotA01_graphdata.py ├── plotA04_pandasplot1.py ├── plotA05B_mpl_intro2.py ├── plotA05_mpl_intro.py ├── plotA06_mpl_styling_annotate.py ├── plotA07_mpl_savefig.py ├── plotA08_mpl_interface.py ├── plotA09_mpl_rcparam.py ├── plotA10_mpl_pylab.py ├── plotA11_mpl_gcf.py ├── plotA12_mpl_mixed1.py ├── plotB01_mpl_line2.py ├── plotB02_mpl_line.py ├── plotB03_mpl_box.py ├── plotB03_mpl_boxplot1.py ├── plotB04_mpl_scatter.py ├── plotB07_mpl_heatmap.py ├── plotB07_sns_heatmap.py ├── plotB08_mpl_bar.py ├── plotB08_mpl_bar1.py ├── plotB08_mpl_bar3.py ├── plotB09B_bar.py ├── plotB09_mpl_bar2.py ├── plotB11_mpl_sns_bar_count.py ├── plotB13_mpl_hist.py ├── plotB14_mpl_kde.py ├── plotB20_bubblechart.py ├── plotC05_subplots.py ├── plotC10_subplots1.py ├── plotD03_bar_multiple.py ├── plotD09_pairplots1.py ├── plotD12_tablewithplot.py ├── plotD13_wordcloud.py ├── plotD14_pie.py ├── plotG01_ggplot.py ├── plot_facet_hist.py ├── plot_intro.py ├── plot_legend.py ├── plt_fig_save.py ├── plt_figsize.py ├── plt_subplots1.py ├── sipP51_wordcloud1.py ├── sns01_facets1.py ├── sns02_facets1.py ├── sns03_plots.py ├── sns05_bar_label.py ├── sns06_count.py ├── sns07_facet_hist.py ├── sns07_heatmap.py ├── sns09_catplot.py ├── sns_facet_config.py ├── sns_facets_multiple.py ├── sns_factorplot.py ├── sns_jointplot.py └── sns_kde.py ├── sip ├── dataFrame.py ├── merged1.py ├── np_matrix.py ├── np_reshape.py ├── pd_merge.py ├── py_func_class.py ├── py_lambda.py ├── py_loops_ifelse.py ├── sipA01_help.py ├── sipA01_startupoptions.py ├── sipA02_importlib.py ├── sipA02_installlib.py ├── sipA03_mod_os.py ├── sipA04_varopr.py ├── sipA05_list.py ├── sipA05_listcomprehension.py ├── sipA06_tuple.py ├── sipA07_set.py ├── sipA08_dict.py ├── sipA09_strings.py ├── sipA10_forloop.py ├── sipA11_whileloop.py ├── sipA12_ifelse.py ├── sipA13_functions.py ├── sipA14_lambda.py ├── sipA15_mod1.py ├── sipA15_mod2.py ├── sipA23_datastructures.py ├── sipA24_revloops.py ├── sipA31_randomnos1.py ├── sipA32_math1.py ├── sipA35_enumerate.py ├── sipA41_zip.py ├── sipA42_fzset.py ├── sipA50_missing.py ├── sipA51_missing2.py ├── sipA52_missing_imput.py ├── sipA53_missing_plot.py ├── sipA53_missing_sleep.py ├── sipA53_missing_sleep_plot.py ├── sipA55_join.py ├── sipB03_toCSV_EXL.py ├── sipB04_data_sets.py ├── sipB05_import_data2.py ├── sipB10_os_cmd.py ├── sipC01_np_intro1.py ├── sipC02_np_intro2.py ├── sipC02_np_intro3.py ├── sipC03_np_access.py ├── sipC04_np_image.py ├── sipC11_np_meshgrid.py ├── sipD01_pd_intro.py ├── sipD03_pd_matrix.py ├── sipD04_pd_Series.py ├── sipD05_pd_intro2.py ├── sipD06_pd_filter.py ├── sipD07B_pd_product.py ├── sipD07_pd_panel.py ├── sipD08_pd_properties.py ├── sipD11_pd_clipboard.py ├── sipD12_pd_crosstab2.py ├── sipD13_pd_dfply1_mt.py ├── sipD15_pd_groupby1mt.py ├── sipD15_pd_splitApplyCombine.py ├── sipD18_pd_pivottable.py ├── sipD21_pd_multiindex.py ├── sipD21_pd_multiindex_xs.py ├── sipD22_pd_multiindex.py ├── sipD25_pd_unstack_mt.py ├── sipD26_pd_stackunstack.py ├── sipT03_html_links.py └── sipT05_html_links.py ├── sleep.csv ├── stats ├── np_polyfit.py ├── sipE01_statstopics.py ├── sipE03_skewkurtosis_mt.py ├── sipE05_binomial.py ├── sipE06_normal.py ├── sipE07_poision.py ├── sipE09_scipy1.py ├── sipE10_scipy2.py ├── sipE12_classinterval.py └── stats1.py ├── test.xlsx ├── tips ├── data-gsheets.py ├── data1.py ├── dataset-bunch1.py ├── pd_multipleColsDtype.py ├── py_eval.py ├── py_list.py ├── strings1.py ├── tips2.py └── tips_list_WO_index.py ├── tm ├── nlp_project1.py ├── predcitSentiment.py ├── strings.py ├── tm_case_customer_reviews.py ├── tm_links.py ├── tm_processing_steps.py ├── tm_sentiment2.py ├── tm_sentiment_tuts1.py ├── tm_twt_analyse1.py └── tm_twt_download1.py ├── tree.dot ├── ts ├── ts0_links.py ├── tsA01_MM.py ├── tsA02_dt_intro.py ├── tsA03_dt_intro2.py ├── tsA04_dt_arithmetic.py ├── tsA04_dt_arithmetic2.py ├── tsA05_dt_plot.py ├── tsA07_dt_timedelta.py ├── tsA09B_airpsn.py ├── tsA09_case_furniture.py ├── tsA09_dt_timezone.py ├── tsA09_tsSeries.py ├── tsCase07.py ├── ts_advPlots.py ├── ts_ar1.py ├── ts_arima1.py ├── ts_arma1.py ├── ts_date_age.py ├── ts_decom_airpsng.py ├── ts_decomposition.py ├── ts_decomposition2.py ├── ts_hwes1.py ├── ts_interval.py ├── ts_lib_tstoolbox.py ├── ts_ma1.py ├── ts_pd_dateRanges.py ├── ts_plots1.py ├── ts_randomDates.py ├── ts_resample.py ├── 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