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3.3. Data Storage
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PricingFrontier/python-for-pricing-course
Python for Pricing
0. Overview
1. Principles
2. Setting up
3. Data Manipulation
4. Visualisation
5. Machine Learning
6. Production
Pricing Frontier LTD
PricingFrontier/python-for-pricing-course
Python for Pricing
0. Overview
0. Overview
0.0. Why use Python
0.1. Open source
0.2. Reproducible Analytics
0.3. Innovation
0.4. Pricing as a system
0.5. Engineering practices
0.6. Python vs Excel
1. Principles
1. Principles
1.0. Transparency
1.1. System design
1.2. Automation
1.3. Modularity
1.4. Collaboration - Technical
1.5. Collaboration - Non Technical
2. Setting up
2. Setting up
2.0. Personal and work machines
2.1. Installing WSL
2.2. Visual Studio Code
2.3. uv
2.4. Git and Github
2.4. Initialising a project
2.6. Creating a notebook
3. Data Manipulation
3. Data Manipulation
3.0. Syntax
3.2. Libraries
3.3. Dataframes
3.3. Data Storage
4. Visualisation
4. Visualisation
4.0. Tables
4.2. Charts
4.3. Dashboards
4.4. PDFs
5. Machine Learning
5. Machine Learning
5.0. Modelling Data
5.1. Training & Validation
5.2. Model Registries
5.3. Deployment
5.4. Monitoring
6. Production
6. Production
6.0. Production
6.1. Cloud
6.2. Infrastructure as Code
6.3. Containers
6.4. CI/CD
6.5. Databricks
3.3. Data Storage
Parquets
Deltatables