diff --git a/docs/html/.doctrees/class_schedule.doctree b/docs/html/.doctrees/class_schedule.doctree index 43d7991..ac05adb 100644 Binary files a/docs/html/.doctrees/class_schedule.doctree and b/docs/html/.doctrees/class_schedule.doctree differ diff --git a/docs/html/.doctrees/environment.pickle b/docs/html/.doctrees/environment.pickle index 54520ab..e2cc1d9 100644 Binary files a/docs/html/.doctrees/environment.pickle and b/docs/html/.doctrees/environment.pickle differ diff --git a/docs/html/.doctrees/exercises/Exercise_dask.doctree b/docs/html/.doctrees/exercises/Exercise_dask.doctree index df3f34c..22fb892 100644 Binary files a/docs/html/.doctrees/exercises/Exercise_dask.doctree and b/docs/html/.doctrees/exercises/Exercise_dask.doctree differ diff --git a/docs/html/class_schedule.html b/docs/html/class_schedule.html index 040ea75..6e0739c 100644 --- a/docs/html/class_schedule.html +++ b/docs/html/class_schedule.html @@ -1 +1 @@ - Class Schedule — Practical Data Science Skip to content

Class Schedule

Class Time

Class will be Tuesdays and Thursdays from 1:25pm-2:40pm (EDT).

Date, Rm

Topic

Do Before Class

In-Class Exercise

Tues, Aug 29

  • Class Introduction

  • Welcome to VS Code

Thurs, Aug 31

  • Command Line Basics

Fri, Sep 1

SOFTWARE INSTALL DAY

A day of trouble shooting install issues

Tues, Sep 5

  • Advanced Command Line

  • Git

  • Packages

Thurs, Sep 7

  • Git Continued

  • Jupyter

Tues, Sep 12

  • Python Debugger

  • R / Python Differences

  • Packages

Thurs, Sep 14

  • Numpy Basics

Tues, Sep 19

  • Numpy Arrays

More Numpy Concepts:

Matrices:

ND Arrays:

Thurs, Sep 21

  • Pandas: Series

Tues, Sep 26

  • Pandas: DataFrames

Thurs, Sep 28

  • Pandas: Indices & Missing

Tues, Oct 3

  • Pandas: Cleaning

  • Tracebacks

Thurs, Oct 5

  • Merging

Tues, Oct 10

  • Plotting

Thurs, Oct 12

FALL BREAK

Tues, Oct 17

FALL BREAK

Thurs, Oct 19

  • Plotting

Tues, Oct 24

  • Big Data: What is it, how do I work with it?

Thurs, Oct 26

  • Defensive Programming

  • Workflow

  • Backwards Design

  • Getting Help Online

Tues, Oct 31

  • Defensive Programming

  • Groupby / Split-Apply-Combine

Thurs, Nov 2

  • Pandas: Reshaping

  • Pandas: Categoricals

Tues, Nov 7

  • Speed and Performance in Python

Thurs, Nov 9

  • Statistics with statsmodels

Tues, Nov 14

  • Machine Learning with sckikit-learn

  • JVP Chapter 5 up to “Hyperparameters and Model Validation” Section (pp 331 - 359)

Thurs, Nov 16

Tues, Nov 21

No Class

Thurs, Nov 23

THANKSGIVING

Tues, Nov 28

  • Defining Your Own Estimators

  • Regex

Thurs, Nov 30

  • Parallelism

  • Distributed Computing

(Note reading includes a 45 minute video to watch) Optional: - Setting Up Cloud Cluster

Wed Dec 13

Final Project Report and Presentation Due
\ No newline at end of file + Class Schedule — Practical Data Science Skip to content

Class Schedule

Class Time

Class will be Tuesdays and Thursdays from 1:25pm-2:40pm (EDT).

Date, Rm

Topic

Do Before Class

In-Class Exercise

Tues, Aug 29

  • Class Introduction

  • Welcome to VS Code

Thurs, Aug 31

  • Command Line Basics

Fri, Sep 1

SOFTWARE INSTALL DAY

A day of trouble shooting install issues

Tues, Sep 5

  • Advanced Command Line

  • Git

  • Packages

Thurs, Sep 7

  • Git Continued

  • Jupyter

Tues, Sep 12

  • Python Debugger

  • R / Python Differences

  • Packages

Thurs, Sep 14

  • Numpy Basics

Tues, Sep 19

  • Numpy Arrays

More Numpy Concepts:

Matrices:

ND Arrays:

Thurs, Sep 21

  • Pandas: Series

Tues, Sep 26

  • Pandas: DataFrames

Thurs, Sep 28

  • Pandas: Indices & Missing

Tues, Oct 3

  • Pandas: Cleaning

  • Tracebacks

Thurs, Oct 5

  • Merging

Tues, Oct 10

  • Plotting

Thurs, Oct 12

FALL BREAK

Tues, Oct 17

FALL BREAK

Thurs, Oct 19

  • Plotting

Tues, Oct 24

  • Big Data: What is it, how do I work with it?

Thurs, Oct 26

  • Defensive Programming

  • Workflow

  • Backwards Design

  • Getting Help Online

Tues, Oct 31

  • Defensive Programming

  • Groupby / Split-Apply-Combine

Thurs, Nov 2

  • Pandas: Reshaping

  • Pandas: Categoricals

Tues, Nov 7

  • Speed and Performance in Python

Thurs, Nov 9

  • Statistics with statsmodels

Tues, Nov 14

  • Machine Learning with sckikit-learn

  • JVP Chapter 5 up to “Hyperparameters and Model Validation” Section (pp 331 - 359)

Thurs, Nov 16

  • Defining Your Own Estimators

  • Regex

Tues, Nov 21

No Class

Thurs, Nov 23

THANKSGIVING

Tues, Nov 28

  • Parallelism

  • Distributed Computing

(Note reading includes a 45 minute video to watch) Optional: - Opioid Project Rough Draft Due

Thurs, Nov 30

Wed Dec 13

Final Project Report and Presentation Due
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:[],dead:72,deadlin:[],deal:[3,5,9,13,24,38,53,57,66,68],dealer:[38,57],dealership:[],dealt:[23,52],debat:[],debt:[12,40,59],debug:[8,23,46,49],debugg:[8,70,79],debugging_in_vscod:[],dec:8,decad:[5,6,23,38,52,57,68],decemb:[],decept:[46,49],decid:[2,5,16,26,31,32,38,40,57,59],decim:[7,40,41,49,59,60],decis:[29,46,49,54,55],declar:[],declin:[47,48,50,63],decompos:[],decompress:[7,16,21,23,52],decor:[],decreas:[24,38,40,50,53,57,59],dedic:[],deduc:[],deem:[],deep:[5,51,71],deeper:68,deepli:[2,39,58],deesa:52,def:[16,26,62,63,72],defens:[8,67],defer:[],defi:[43,62],defin:[2,7,8,26,31,32,41,47,48,50,60,63],definit:[2,5,12,29,39,40,43,45,54,55,58,59,62,66,68,71],deg:[],degfield2:54,degfield2d:54,degfield:54,degfieldd:54,degre:[5,24,29,33,47,48,53,54,55,56,63,65,72],degredation_over_tim:[],del:[52,56,57],delai:[16,27,72],delet:[16,21,22,27,32,66],delhi:52,deli:[],deliber:[4,13],delim_whitespac:7,delimit:[7,16,42,61],deliv:18,deliver:[],deliveri:[],dell:5,delnort:57,demand:45,demean:45,demo:[],democraci:10,democrat:[43,62],demograph:50,demonstr:[2,16,43,62],demystifi:[],denot:[7,13,29,39,54,55,58],densiti:74,dep:[8,62,73],depart:68,departure_timestamp:27,depdelai:27,depend:[2,7,9,16,40,43,45,48,59,62,68,69,72,78],depict:[],deploi:18,deploy:[],depot:[],deprec:[7,57],depreci:[],depth:[],dequ:[],derefer:[],dereferenc:[],deriv:[26,38,57],descend:30,describ:[12,46,49,50,57,63],descript:21,descriptor:22,design:[2,8,16,23,30,43,49,52,62,66,67,68,69,71,72],designmatrix:73,desir:[11,45],desktop:[5,21,22,72],despit:69,destin:[],detail:[7,12,16,18,25,26,27,28,31,32,43,62,75,78],detect:[7,12,33,42,56,61],determin:[2,4,24,29,33,38,39,40,45,47,48,49,50,53,55,56,57,58,59,63],determinist:49,detriment:69,deutschland:10,dev:[42,61],devel:62,develo:31,develop:[2,4,16,26,27,31,43,45,47,48,50,62,63,66,68,69,71,72,79],deviat:[27,42,43,61,62],devicelogin:[],devot:2,df1:[27,38,57],df1_var:[38,57],df1f62c87a9d21a7c2e1959a33e7735a:16,df2:[27,38,57],df2_correct:[38,57],df2_var:[38,57],df:[7,9,11,16,25,27,33,42,45,52,56,61,62,68,73,74],df_full:52,df_new:[],dhabi:[],di:16,diagnos:[38,57],diagnost:[8,46,49],diagon:26,diagram:[],dialect:7,diamet:[],dict:[7,40,45,53,55,56,57,58,59,60,62,63],dict_kei:56,dictat:72,dictionari:[4,10,14,24,29,33,38,39,40,45,47,49,50,51,53,55,56,57,58,59,63],dicuss:68,did:[2,11,16,20,25,27,28,30,32,33,35,37,38,41,43,45,46,49,51,56,57,60,62,66,69],didn:[2,4,8,9,12,13,20,25,31,32,33,35,38,46,49,54,56,57,66,68,69],diego:56,dif_in_dif:57,diff:32,diffcar:[54,55],differ:[2,5,6,7,8,9,10,12,16,18,20,21,24,25,29,31,32,33,35,36,39,40,42,43,44,45,46,47,48,49,50,51,53,54,55,56,58,59,61,62,63,66,68,69,71,72],differenti:[2,21,46,49],diffey:[54,55],diffhear:[54,55],difficult:[26,38,40,43,57,59,62,66],difficulti:[],diffmob:[54,55],diffphi:[54,55],diffrem:[54,55],diffsen:[54,55],dig:[46,49,56],digit:30,digitalocean:18,dignost:46,digress:[],dimens:11,dimension:7,dinosaur:51,dinosaur_nam:51,diploma:[29,54,55],direct:[2,4,5,16,18,21,22,25,31,36,37,60],directli:[2,4,7,9,10,11,12,16,18,23,27,29,32,36,38,40,43,45,52,54,55,56,57,59,62,66,74],directori:[16,21,22,23,32,38,52,57],dirt:54,dirti:[],disabl:[],disable_max_row:[],disappear:[],disappoint:[],disast:56,disciplin:[38,49,57,72],disclosur:3,disconnect:[],discount:5,discov:[2,9,22,29,46,49,54,55,66,69],discret:[8,12,29,40,47,48,54,55,59,63,66],discuss:[2,5,10,11,12,16,21,27,31,33,34,39,42,43,47,48,51,54,56,58,61,62,63,66,68,71,72,75,78],diseas:[38,57],disgust:[],disk:[7,22,27],dispatch:[],dispers:[],displac:[],displai:[37,42,61],disproportion:[],dissatisfi:2,dissert:2,dissolv:[],distanc:30,distance_col:[],distant:[],distibut:[],distinct:[2,10,16,21,39,51,58,72],distinguish:[],distort:[],distribut:[8,12,18,26,27,28,29,38,39,40,45,46,47,48,49,54,55,57,58,59,63,66,77],distutil:[],dive:[2,11,45,66,68,72],diverg:32,divers:[],divert:32,divid:[2,11,16,22,32,38,40,48,57,59],divis:[2,16,50],divvi:[],djibouti:[],dl:16,dmatric:[46,49,73],doc:[7,10,11,21,46,50],docker:[],docstr:7,doctest:7,doctor:49,documen:12,document:[2,7,9,11,12,21,22,29,32,37,43,46,49,50,51,54,55,62,66,67,74],docx:21,doe:[4,5,6,9,13,16,21,23,24,27,28,29,32,33,34,37,38,39,40,41,42,43,46,47,48,49,50,52,53,54,55,56,57,58,59,60,61,62,63,66,68,72],doesn:[2,12,13,16,21,23,26,28,29,31,32,33,34,35,37,38,39,41,43,45,47,48,49,50,52,54,55,56,57,58,60,62,63,66,68,72],dog:[46,49],dog_nam:51,dogmat:[],doha:[],doi:[40,59],doj:[],dollar:[5,12,32,34,35,39,40,45,48,58,59],domain:69,domest:48,domin:68,dominican:[],don:[2,4,5,9,10,11,12,13,16,18,21,23,25,26,27,28,29,31,32,35,36,37,38,40,42,43,45,46,48,49,50,54,55,56,57,59,61,62,63,66,68,69,71,72,75],done:[3,12,16,21,22,23,27,29,31,32,38,43,44,45,47,48,49,50,52,54,55,56,57,62,63,66],dont:[],door:5,dorado:56,dos_str:16,dosage_unit:16,dot:[37,43,56,57,61,62],dotfil:[],doubl:[5,11,21,26,71,72],double_nonvector:[],double_vector:[],doublequot:7,doubli:[46,49],doubt:[],down:[12,23,25,29,30,31,33,37,38,40,41,42,43,45,46,49,51,52,54,55,56,57,59,60,61,62,68,69,72],download:[8,16,21,23,25,27,28,30,32,36,37,38,4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alignment","Index Alignment Exercises, Discussion","Jupyter Lab Exercises","VS Code Exercises","Merging Data to Understand the Relationship between Drug Legalization and Violent Crime","Missing Values Exercises","Measuring Income Inequality","Numpy Exercises","Plotting Exercises, Part 1","Plotting Exercises, Part 2","Build Your Own Chart","Reshaping Exercises","Machine Learning with Scikit-Learn","Measuring Income Equality with the Gini Coefficient","Measuring Income Equality with the Gini Coefficient","Machine Learning with Scikit-Learn","Maternal Smoking and Birth Weight","Variables v Objects Exercises","Big Data Exercises","Cleaning Data Exercises","Estimating Labor Market Returns to Education","Estimating Labor Market Returns to Education","Groupby and Arrest Data","Merging Data to Understand the Relationship between Drug Legalization and Violent Crime","Missing Values Exercises","Measuring Income Inequality","Numpy Exercises","Plotting Exercises, Part 1","Plotting Exercises, Part 2","Measuring Income Equality with the Gini Coefficient","Code-Drawing Template","Welcome to Practical Data Science I!","Git and Github","Hello!","Data Science Languages: Why So Many?","chatGPT and You","More on VS Code","Welcome non-Duke MIDS Students!","Parallel Computing","<no title>","Plotting with Pandas","Reviewing Code on Github","Solutions","Course Topics and Materials","VS Code for Data Science","<no 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\ No newline at end of file diff --git a/source/class_schedule.csv b/source/class_schedule.csv index 8c2dc23..f8a0ce8 100644 --- a/source/class_schedule.csv +++ b/source/class_schedule.csv @@ -103,18 +103,17 @@ - `Regression Plots `_ - `Patsy: Differences from R `_",- `Link `_ "Tues, Nov 14",- Machine Learning with sckikit-learn,"- JVP Chapter 5 up to ""Hyperparameters and Model Validation"" Section (pp 331 - 359)", -"Thurs, Nov 16",,, -"Tues, Nov 21",No Class,, -"Thurs, Nov 23",THANKSGIVING,, -"Tues, Nov 28","- Defining Your Own Estimators +"Thurs, Nov 16","- Defining Your Own Estimators - Regex","- Review linear regression as matrix manipulations. `Here's a nice review. `_ - `Review how to define classes `_ -- `Broadcasting in numpy <41_broadcasting.ipynb>`_ -- **Opioid Project Rough Draft Due**", -"Thurs, Nov 30","- Parallelism +- `Broadcasting Gotchyas `_", +"Tues, Nov 21",No Class,, +"Thurs, Nov 23",THANKSGIVING,, +"Tues, Nov 28","- Parallelism - Distributed Computing","- `Parallel Computing `_ - `Distributed Computing with dask `_ (Note reading includes a 45 minute video to watch) **Optional:** -- `Setting Up Cloud Cluster `_", +- **Opioid Project Rough Draft Due**", +"Thurs, Nov 30",,, Wed Dec 13,,**Final Project Report and Presentation Due**, \ No newline at end of file diff --git a/source/class_schedule_xlsx.xlsx b/source/class_schedule_xlsx.xlsx index b614620..d635a6c 100644 Binary files a/source/class_schedule_xlsx.xlsx and b/source/class_schedule_xlsx.xlsx differ