differences for PR #2

config.yaml

@@ -67,6 +67,7 @@ contact: '[email protected]'
 # Order of episodes in your lesson
 episodes: 
 - introduction.md
+- working-with-diverse-filetypes.md
 
 # Information for Learners
 learners: 

md5sum.txt

@@ -1,10 +1,11 @@
 "file" "checksum" "built" "date"
 "CODE_OF_CONDUCT.md" "c93c83c630db2fe2462240bf72552548" "site/built/CODE_OF_CONDUCT.md" "2022-08-05"
 "LICENSE.md" "b24ebbb41b14ca25cf6b8216dda83e5f" "site/built/LICENSE.md" "2023-04-07"
-"config.yaml" "dbb189d10fd0d2a60bf56c93d876ddf4" "site/built/config.yaml" "2024-10-23"
+"config.yaml" "768ed118cb5276bbfceab6d6a3fd3545" "site/built/config.yaml" "2024-10-24"
 "index.md" "447e37bf2e1d5254609dbb0fa9409b16" "site/built/index.md" "2024-10-24"
 "links.md" "8184cf4149eafbf03ce8da8ff0778c14" "site/built/links.md" "2022-04-22"
 "episodes/introduction.md" "6c55d31b41d322729fb3276f8d4371fc" "site/built/introduction.md" "2023-07-24"
+"episodes/working-with-diverse-filetypes.md" "569a3ff1bf082d0409f6311d340cc418" "site/built/working-with-diverse-filetypes.md" "2024-10-24"
 "instructors/instructor-notes.md" "cae72b6712578d74a49fea7513099f8c" "site/built/instructor-notes.md" "2023-03-16"
 "learners/reference.md" "1c7cc4e229304d9806a13f69ca1b8ba4" "site/built/reference.md" "2023-03-16"
 "learners/setup.md" "5456593e4a75491955ac4a252c05fbc9" "site/built/setup.md" "2024-01-26"

working-with-diverse-filetypes.md

@@ -0,0 +1,31 @@
+---
+title: "Handling diverse filetypes in Pandas"
+teaching: 0
+exercises: 0
+---
+
+:::::::::::::::::::::::::::::::::::::: questions 
+
+- How can I read in different tabular data types to a familiar format in Python?
+- What are some common errors that occur when importing data, and how can I troubleshoot them?
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+::::::::::::::::::::::::::::::::::::: objectives
+
+- Import tabular data from XML, JSON, and Parquet formats to pandas dataframes using the `pandas` library
+- Import a table from a SQL database using the `pandas` library
+- Implement strategies to handle common errors on data import
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+
+
+::::::::::::::::::::::::::::::::::::: keypoints 
+
+- `pandas` has functionality to read in many data formats (e.g., XML, JSON, SQL,
+Parquet) into the same kind of DataFrame in Python. We can take advantage of this to
+transform many kinds of data with similar functions in Python.
+- `pandas` accepts both relative and absolute file paths on read-in.
+
+::::::::::::::::::::::::::::::::::::::::::::::::
+