Re-added wrap-up slides

Author: Gammerdinger

docs/schedule/schedule.html

@@ -587,28 +587,28 @@
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     "title": "Schedule - Introduction to Python",
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-    "text": "Time\nTopic\nInstructor\n\n\n\n\n10:00 - 10:15\nWorkshop Introduction\nWill\n\n\n10:15 - 10:45\nIntroduction to Python and Jupyter Lab\nWill\n\n\n10:45 - 10:50\nBreak\n\n\n\n10:50 - 11:25\nVariables\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\n\nI. Please study the contents and work through all the code within the following lessons:\n\nConditional Statements\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces conditional logic in Python, showing how to use if, elif, else, comparison operators and logical operators to evaluate conditions.\nIn this lesson, we will:\n\nCreate conditional statements using if, elif and else\nUse the in operator to check for membership in a collection\nUse logical operators to test multiple conditions at the same time\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\n\n\nIf you get stuck due to an error while running code in the lesson, email us"
+    "text": "Time\nTopic\nInstructor\n\n\n\n\n10:00 - 10:15\nWorkshop Introduction\nWill\n\n\n10:15 - 10:45\nIntroduction to Python and Jupyter Lab\nWill\n\n\n10:45 - 10:50\nBreak\n\n\n\n10:50 - 11:25\nVariables\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\n\nI. Please study the contents and work through all the code within the following lessons:\n\nConditional Statements\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces conditional logic in Python, showing how to use if, elif, else, comparison operators and logical operators to evaluate conditions.\nIn this lesson, we will:\n\nCreate conditional statements using if, elif and else\nUse the in operator to check for membership in a collection\nUse logical operators to test multiple conditions at the same time\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\n\n\nIf you get stuck due to an error while running code in the lesson, email us"
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     "title": "Schedule - Introduction to Python",
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-    "text": "Time\nTopic\nInstructor\n\n\n\n\n10:00 - 10:15\nWorkshop Introduction\nWill\n\n\n10:15 - 10:45\nIntroduction to Python and Jupyter Lab\nWill\n\n\n10:45 - 10:50\nBreak\n\n\n\n10:50 - 11:25\nVariables\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\n\nI. Please study the contents and work through all the code within the following lessons:\n\nConditional Statements\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces conditional logic in Python, showing how to use if, elif, else, comparison operators and logical operators to evaluate conditions.\nIn this lesson, we will:\n\nCreate conditional statements using if, elif and else\nUse the in operator to check for membership in a collection\nUse logical operators to test multiple conditions at the same time\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\n\n\nIf you get stuck due to an error while running code in the lesson, email us"
+    "text": "Time\nTopic\nInstructor\n\n\n\n\n10:00 - 10:15\nWorkshop Introduction\nWill\n\n\n10:15 - 10:45\nIntroduction to Python and Jupyter Lab\nWill\n\n\n10:45 - 10:50\nBreak\n\n\n\n10:50 - 11:25\nVariables\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\n\nI. Please study the contents and work through all the code within the following lessons:\n\nConditional Statements\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces conditional logic in Python, showing how to use if, elif, else, comparison operators and logical operators to evaluate conditions.\nIn this lesson, we will:\n\nCreate conditional statements using if, elif and else\nUse the in operator to check for membership in a collection\nUse logical operators to test multiple conditions at the same time\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\n\n\nIf you get stuck due to an error while running code in the lesson, email us"
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-    "text": "Day 2\n\n\n\nTime\nTopic\nInstructor\n\n\n\n\n10:00 - 10:30\nSelf-learning lessons discussion\nAll\n\n\n10:30 - 11:00\nData Structures\nNoor\n\n\n11:00 - 11:05\nBreak\n\n\n\n11:05 - 11:55\nLoops\nWill\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\nBefore the next class:\nI. Please study the contents and work through all the code within the following lessons:\n\nFunctions\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson explains how functions work in Python, from calling built-in functions with arguments to defining your own reusable functions to organize and simplify code.\nIn this lesson, you will:\n\nDescribe and utilize functions in Python\nModify default behavior of a function using arguments\nIdentify Python-specific sources of obtaining more information about functions\nDemonstrate how to create user-defined functions in Python\n\n\n\n\nLoading and Installing Libraries\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces Python libraries, showing how to install packages, import them into your environment and explore library functions to extend Python functionality for data analysis.\nIn this lesson, you will:\n\nExplain different ways to install external Python libraries\nDemonstrate how to load a library and how to find functions specific to a library\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\nQuestions?\n\nIf you get stuck due to an error while running code in the lesson, email us"
+    "text": "Day 2\n\n\n\nTime\nTopic\nInstructor\n\n\n\n\n10:00 - 10:30\nSelf-learning lessons discussion\nAll\n\n\n10:30 - 11:00\nData Structures\nNoor\n\n\n11:00 - 11:05\nBreak\n\n\n\n11:05 - 11:55\nLoops\nWill\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\nBefore the next class:\nI. Please study the contents and work through all the code within the following lessons:\n\nFunctions\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson explains how functions work in Python, from calling built-in functions with arguments to defining your own reusable functions to organize and simplify code.\nIn this lesson, you will:\n\nDescribe and utilize functions in Python\nModify default behavior of a function using arguments\nIdentify Python-specific sources of obtaining more information about functions\nDemonstrate how to create user-defined functions in Python\n\n\n\n\nLoading and Installing Libraries\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces Python libraries, showing how to install packages, import them into your environment and explore library functions to extend Python functionality for data analysis.\nIn this lesson, you will:\n\nExplain different ways to install external Python libraries\nDemonstrate how to load a library and how to find functions specific to a library\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\nQuestions?\n\nIf you get stuck due to an error while running code in the lesson, email us"
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     "section": "Day 3",
-    "text": "Day 3\n\n\n\nTime\nTopic\nInstructor\n\n\n\n\n10:00 - 10:30\nSelf-learning lessons discussion\nAll\n\n\n10:30 - 11:00\nNumPy Arrays\nWill\n\n\n11:00 - 11:05\nBreak\n\n\n\n11:05 - 11:55\nPandas DataFrames\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\nBefore the next class:\nI. Please study the contents and work through all the code within the following lessons:\n\nData Wrangling\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson focuses on wrangling linked datasets with pandas, including filtering, reordering, saving cleaned tables and merging DataFrames to prepare real data for analysis.\nIn this lesson, you will:\n\nReorder related datasets to ensure that they are in the same order\nExtract specific rows from a DataFrame using the isin operator\nSave a DataFrame as a new CSV file\nUse the merge() function to combine two DataFrames\n\n\n\n\nPlotting basics with Matplotlib and Seaborn\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces data visualization in Python using Matplotlib and Seaborn, showing how to build scatterplots, adjust aesthetics and customize labels to create clear figures.\nIn this lesson, you will:\n\nExplain the concept of layering in plotting and how to build a plot step by step\nCreate a scatterplot using MatPlotLib and customize its aesthetics with Seaborn\nApply different themes to a plot and adjust axis labels and titles\n\n\n\n\nBoxplots\n\n\n\n\n\n\nClick here for a preview of this lesson\n\n\n\n\n\nThis lesson shows how to create and customize boxplots with Matplotlib and Seaborn to visualize distributions, identify outliers and adjust colors.\nIn this lesson, you will:\n\nGenerate a boxplot\nCustomize the aesthetics of a boxplot\nFind hexadecimal codes for colors and use them to change the colors of a boxplot\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\nQuestions?\n\nIf you get stuck due to an error while running code in the lesson, email us"
+    "text": "Day 3\n\n\n\nTime\nTopic\nInstructor\n\n\n\n\n10:00 - 10:30\nSelf-learning lessons discussion\nAll\n\n\n10:30 - 11:00\nNumPy Arrays\nWill\n\n\n11:00 - 11:05\nBreak\n\n\n\n11:05 - 11:55\nPandas DataFrames\nNoor\n\n\n11:55 - 12:00\nOverview of self-learning materials and homework submission\nWill\n\n\n\n\nBefore the next class:\nI. Please study the contents and work through all the code within the following lessons:\n\nData Wrangling\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson focuses on wrangling linked datasets with pandas, including filtering, reordering, saving cleaned tables and merging DataFrames to prepare real data for analysis.\nIn this lesson, you will:\n\nReorder related datasets to ensure that they are in the same order\nExtract specific rows from a DataFrame using the isin operator\nSave a DataFrame as a new CSV file\nUse the merge() function to combine two DataFrames\n\n\n\n\nPlotting basics with Matplotlib and Seaborn\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson introduces data visualization in Python using Matplotlib and Seaborn, showing how to build scatterplots, adjust aesthetics and customize labels to create clear figures.\nIn this lesson, you will:\n\nExplain the concept of layering in plotting and how to build a plot step by step\nCreate a scatterplot using MatPlotLib and customize its aesthetics with Seaborn\nApply different themes to a plot and adjust axis labels and titles\n\n\n\n\nBoxplots\n\n\n\n\n\n\nNoteClick here for a preview of this lesson\n\n\n\n\n\nThis lesson shows how to create and customize boxplots with Matplotlib and Seaborn to visualize distributions, identify outliers and adjust colors.\nIn this lesson, you will:\n\nGenerate a boxplot\nCustomize the aesthetics of a boxplot\nFind hexadecimal codes for colors and use them to change the colors of a boxplot\n\n\n\n\n\n\nSubmit your work:\n\n\nEach lesson above contains exercises; please go through each of them.\nSubmit your answers to the exercises using this Google form on the day before the next class.\n\n\n\nQuestions?\n\nIf you get stuck due to an error while running code in the lesson, email us"
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