Merge branch 'master' into python-mappings

Author: brendaweles

generators/techcrunch.csv

@@ -1172,10 +1172,10 @@ heavy-com,Heavy.com,,web,New York,NY,1-Mar-01,3000000,USD,a
 spiralfrog,SpiralFrog,15,web,New York,NY,1-Dec-07,2000000,USD,debt_round
 broadbandenterprises,Broadband Enterprises,,web,New York,NY,1-Jan-08,10000000,USD,a
 thumbplay,Thumbplay,,mobile,New York,NY,13-Mar-08,18000000,USD,e
-waterfrontmedia,Waterfront Media,,web,"Brooklyn, New York",NY,1-Sep-07,25000000,USD,d
-waterfrontmedia,Waterfront Media,,web,"Brooklyn, New York",NY,1-Mar-04,4000000,USD,a
-waterfrontmedia,Waterfront Media,,web,"Brooklyn, New York",NY,1-Mar-06,6000000,USD,b
-waterfrontmedia,Waterfront Media,,web,"Brooklyn, New York",NY,1-Apr-07,8000000,USD,c
+waterfrontmedia,Waterfront Media,,web,Brooklyn,NY,1-Sep-07,25000000,USD,d
+waterfrontmedia,Waterfront Media,,web,Brooklyn,NY,1-Mar-04,4000000,USD,a
+waterfrontmedia,Waterfront Media,,web,Brooklyn,NY,1-Mar-06,6000000,USD,b
+waterfrontmedia,Waterfront Media,,web,Brooklyn,NY,1-Apr-07,8000000,USD,c
 tutor,Tutor,55,web,New Yorl,NY,1-May-07,13500000,USD,b
 daylife,Daylife,,web,New York,NY,1-Jun-07,8300000,USD,b
 teachthepeople,Teach The People,1,web,Astoria,NY,1-Jan-07,300000,USD,angel

pivot_tables/README.md

@@ -1,5 +1,7 @@
+# How to Create a Pivot Table With pandas
+
 These are the three download files you can use with the Real Python tutorial [How to Create a Pivot Table With pandas](https://realpython.com/how-to-pandas-pivot-table/):
 
-code_downloads.ipynb contains the main code from the tutorial.
-solutions.ipynb contains sample solutions to the various exercises.
-sales_data.csv contains the source data used throughout the tutorial.
+- `code_downloads.ipynb` contains the main code from the tutorial.
+- `solutions.ipynb` contains sample solutions to the various exercises.
+- `sales_data.csv` contains the source data used throughout the tutorial.

pivot_tables/code_downloads.ipynb

@@ -5,7 +5,7 @@
    "id": "58f1cebe-9313-47be-91a7-a292c721fa70",
    "metadata": {},
    "source": [
-    "**Installing the libraries.**"
+    "# Installing the libraries"
    ]
   },
   {
@@ -37,7 +37,7 @@
    "id": "809281a1-0122-4332-b39e-7603e11d1f62",
    "metadata": {},
    "source": [
-    "**Reading the data.**"
+    "# Reading the data"
    ]
   },
   {
@@ -245,7 +245,7 @@
    "id": "6ef0b664-c295-41d2-89c2-33086caee992",
    "metadata": {},
    "source": [
-    "**Creating your first pivot table.**"
+    "# How to create your first pivot table with pandas"
    ]
   },
   {
@@ -505,7 +505,7 @@
    "id": "5e91d372-b055-4447-a8f8-fe07962867a6",
    "metadata": {},
    "source": [
-    "**Including sub-sub columns within your pivot table**"
+    "# Including sub-columns In your pivot table"
    ]
   },
   {
@@ -932,7 +932,7 @@
    "id": "5479b18f-1817-4578-9ec9-e4dfaa088537",
    "metadata": {},
    "source": [
-    "**Including Sub-Rows Within Your Pivot Table**"
+    "# Including Sub-Rows In Your Pivot Table"
    ]
   },
   {
@@ -1029,7 +1029,7 @@
    "id": "c19c30fc-3253-446a-b2e4-77dd4cc53c36",
    "metadata": {},
    "source": [
-    "**Calculating multiple values in your pivot table.**"
+    "# Calculating multiple values in your pivot table"
    ]
   },
   {
@@ -1513,7 +1513,7 @@
    "id": "c323235b-3479-469e-b6cb-ee08615897d5",
    "metadata": {},
    "source": [
-    "**Performing more advanced aggregations.**"
+    "# Performing more advanced aggregations"
    ]
   },
   {
@@ -1931,7 +1931,7 @@
    "id": "a17481c1-eacb-4c6f-9b6d-889ade86f62f",
    "metadata": {},
    "source": [
-    "**Using `.groupby()` and `crosstab()` for Aggregation**"
+    "# Using `.groupby()` and `crosstab()` for Aggregation"
    ]
   },
   {