Python Intensive III: Workshop Outline
Duration: 1 Day
Level: Advanced (Requires Python Intensive II or equivalent experience)
Format: Resident Human Online with Hands-on Workshop
Event Schedule
Topic 1: Data Analysis with Pandas
Break
Topic 2: Building Real-World Applications
Break
Topic 3: Database Integration & SQL
Wrap-up & Next Steps
Event Description
Master professional-grade Python development with Python Intensive III, an advanced workshop for programmers who have completed Python Intensive II or possess comparable intermediate Python experience. This 5-hour intensive session focuses on data-driven application development, teaching you how to analyze complex datasets with Pandas, integrate databases using SQL, implement comprehensive testing strategies, and deploy production-ready applications. Through challenging projects and industry-standard workflows, you’ll develop the skills that separate junior developers from seasoned professionals who can architect, build, test, and deploy complete software solutions.
This advanced Python workshop covers essential enterprise development practices including data manipulation and visualization, database design and querying. You’ll work with real-world datasets to perform exploratory data analysis, build database-backed applications that persist information reliably, write automated tests that ensure code quality, and learn deployment options for sharing your applications with users. Each module emphasizes professional development practices including code reviews, documentation standards, and performance optimization techniques used by leading technology companies.
Whether you’re preparing for a role as a Python developer, data analyst, backend engineer, or DevOps specialist, Python Intensive III provides the advanced capabilities employers expect from experienced Python professionals. This workshop completes your transformation from beginner to job-ready developer, equipping you with a portfolio-worthy capstone project and the confidence to tackle complex software challenges independently. All participants receive production code templates, database schemas, deployment checklists, and access to exclusive career resources for Python developers.
Topic Areas
Topic 1: Data Analysis with Pandas
Master the fundamentals of data analysis using Pandas, Python’s most popular library for working with structured data. You’ll learn how to load data from CSV and Excel files, clean and transform datasets, filter and group data, and perform aggregate calculations to extract insights. Through hands-on exercises, you’ll work with real datasets to answer analytical questions, handle missing data, and export your results for reporting or further analysis.
Topic 2: Building Real-World Applications
Apply everything you’ve learned by building complete, functional applications that solve practical problems from start to finish. You’ll integrate multiple concepts including file I/O, API calls, data processing, and object-oriented design into cohesive projects. This capstone session emphasizes debugging strategies, code testing basics, error handling best practices, and project organization techniques that prepare you for independent development work and collaborative team environments.
Topic 3: Database Integration & SQL
Learn how to design and interact with relational databases using SQLite and SQL queries to store, retrieve, and manage persistent data. You’ll understand database normalization principles, create tables with proper relationships, and use Python’s sqlite3 module or SQLAlchemy ORM to connect your applications to databases. This session covers essential SQL operations including SELECT, INSERT, UPDATE, and DELETE statements, joins across multiple tables, and transaction management for data integrity in production applications.
