DSR_Pandas

Introduction to Pandas at Data Science Retreat.

Topics:

Data structures in Pandas
- Series
- DataFrame
Selecting data
- Conditional selects
Aggregation
- GroupBy
- Resample
Dealing with datetime data in Pandas
Data cleaning
- Handling null/missing values
- Making new columns
- Apply functions
Data manipulation
- Applying helper functions
Combining data
- Merging
- Concatenation

Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
answers		answers
data		data
filled-in notebooks		filled-in notebooks
pics		pics
.gitignore		.gitignore
0. Introduction.ipynb		0. Introduction.ipynb
1. Intro to Pandas.ipynb		1. Intro to Pandas.ipynb
2. Summarizing, Aggregating and Grouping.ipynb		2. Summarizing, Aggregating and Grouping.ipynb
3. Data Cleaning & Manipulation.ipynb		3. Data Cleaning & Manipulation.ipynb
4. Pandas Data Joining and Concatenating.ipynb		4. Pandas Data Joining and Concatenating.ipynb
5. Real-world Data Practice Problems.ipynb		5. Real-world Data Practice Problems.ipynb
README.md		README.md
requirements.txt		requirements.txt