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Workflow and Python Ecosystem for Data Science
Workflow and Python Ecosystem for Data Science
1. Tour of Python
1.1. Installing Python
1.3. Virtual Environments
1.4. A Brief Introduction to Python
1.4.1. Data Types
1.4.2. Control Flows
1.4.3. Classes
1.4.4. Exceptions
1.4.5. Modules
2. File Versioning
2.1. Git Installation and Setup
2.2. Git workflow and common practices
2.3. GitHub Overview
2.4. Useful Advanced Git Commands
3. Continuous Integration and Delivery
3.1. Testing with pytest
4. Scaling Big Data Projects
4.1. Dask
4.2. PySpark
4.3. Best Practices
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Workflow and Python Ecosystem for Data Science
Workflow and Python Ecosystem for Data Science
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1. Tour of Python
2. File Versioning
3. Continuous Integration and Delivery
4. Scaling Big Data Projects