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Upal Roy edited this page Oct 10, 2017
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Welcome to the Python-camp wiki!
1. Python Data Science Toolbox (Part 1)
- 1. Writing your own functions
- 2. Default arguments, variable-(args, kwargs)
- 3. Lambda functions and error-handling
2. Python Data Science Toolbox (Part 2)
3. Importing Data in Python (Part 1)
- 1. Introduction and flat files
- 2. Importing data from other file types
- 3. Working with relational database
4. Importing Data in Python (Part 2)
- 1. Importing data from the Internet
- 2. Interacting with APIs to import data from the web
- 3. Diving deep into the Twitter API
5. Cleaning Data in Python**
- 1. Exploring your data**
- 2. Tidying data for analysis
- 3. Combining data for analysis
- 4. Cleaning data for analysis
- 5. Case study
6. pandas Foundations
- 1. Data ingestion & inspection
- 2. Exploratory data analysis**
- 3. Time series in pandas
- 4. Case Study - Sunlight in Austin
7. Manipulating DataFrames with pandas
- 1. Extracting and transforming data
- 2. Advanced indexing**
- 3. Rearranging and reshaping data
- 4. Grouping data(unique)
- 5. Bringing it all together
8. Introduction to Databases