Course Outline

Introduction

  • Overview of PostgreSQL features and architecture for government
  • Fundamentals of Python programming
  • Advantages of using Python with PostgreSQL in the public sector

Getting Started

  • Installing PostgreSQL for government use
  • Installing Python, Django, or Flask for government applications
  • Installing psycopg2 for database connectivity
  • Connecting to PostgreSQL using Python for secure and efficient data management

Python and SQL Operations

  • Fundamentals of the SQL language for effective data querying
  • Understanding database schema and tables for structured data storage
  • Writing a Python query to interact with PostgreSQL databases
  • Creating tables to organize government data
  • Inserting data into tables for accurate record-keeping
  • Manipulating data for efficient data management
  • Using the limit clause for controlled data retrieval
  • Joining tables to aggregate and analyze data from multiple sources
  • Full-text search capabilities for enhanced data accessibility
  • Working with SQLite for lightweight database solutions
  • Examples of Python applications in government workflows

Advanced PostgreSQL with Python

  • Table inheritance for flexible data modeling
  • Nested transactions for robust transaction management
  • User-defined types for custom data structures
  • VIEWS, HAVING, and DISTINCT clauses for complex queries
  • Working with dates and times for accurate time-stamped data
  • Multi-version concurrency control (MVCC) for consistent data access
  • Creating charts, graphs, and reports using matplotlib for data visualization

Administration and Security

  • Ensuring PostgreSQL data safety in government environments
  • Restricting access using whitelist policies for enhanced security
  • Implementing replication for high availability and disaster recovery
  • Database migration strategies for seamless transitions
  • Backup and restore procedures to safeguard critical information
  • Monitoring queries to optimize performance and detect issues
  • Performance tuning techniques for efficient database operations
  • Preventing SQL injection attacks to protect against security threats

Troubleshooting

Summary and Next Steps

Requirements

  • Experience with PostgreSQL
  • Python programming experience

Audience

  • Developers for government
  • Administrators
 21 Hours

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