Development Environment Setup and Tool Mastery

3 hours

Duration

Materials

Objectives

Session Overview

Comprehensive laboratory setup including IDE configuration, version control systems, virtual environments, package management, and development workflow optimization.

Learning Objectives

By the end of this session, you should be able to:

Configure professional Python development environment with multiple IDEs
Master Git version control with branching, merging, and collaboration workflows
Set up virtual environments and package management with pip and conda
Configure debugging tools, profilers, and code quality analyzers
Establish automated testing and continuous integration workflows
Create reproducible development environments using containerization

Course Materials

Download materials for offline study and reference

Complete Development Environment Setup Guide (40 pages)

Available material

Git Workflow Tutorial with Practical Examples

Available material

Virtual Environment and Package Management Manual

Available material

IDE Configuration Files and Extensions Library

Available material

Automated Workflow Scripts and Templates

Available material

Containerization and Docker Setup Guide

Available material

Development Best Practices Checklist

Available material

Professional Workflow Optimization Tools

Available material