A Python project with coding framework and unit testing
What you'll learn
- Python basics and real world coding framework - organizing code, logging, error handling, config file, unit testing
- Basic programming skills and SQL knowledge required
Learn how to code and unit test Python applications in a real world project. Go beyond the basics by solving a practical use case step by step. This course is designed for Python beginners who want to transition for academic background to a real world developer role !
Course Project :
You will be building a Python application to read data from files and store the data into PostgreSQL database. You will be creating REST endpoints using which external users will interact with your application data. All the industry standard best practices in terms of logging, error handling, config file, code structuring will be used in the application.
Course structure :
Python (3.9) and PyCharm IDE installation
Python basics - Get started with basic Python data types including List, Tuple and Dictionary
Organizing code with Classes and Modules - Understand core concepts of classes and packages
Python logging - Implement logging using basic config and file config
Python error handling - Learn how to handle exceptions.
Python PostgreSQL database interaction - Understand how to read and write to PostgreSQL using psycopg2
Create REST API using Python - Learn to create APIs using Python Flask framework
Reading configuration from property file - Learn how to avoid hardcoding of configurable properties
Unit testing - Learn to test your application using unittest package
Unit testing - Learn to test your application using PyTest package
You will learn the above concepts by building a real world file processing application. No prior Python knowledge required.
Basic programming skills
Basic knowledge of SQL queries
Who this course is for:
- Python beginners who are getting ready for real world developer role
We are a group of Solution Architects and Developers with expertise in Java, Python, Scala , Big Data , Machine Learning and Cloud.
We have years of experience in building Data and Analytics solutions for global clients.
Our primary goal is to simplify learning for our students.
We take a very practical use case based approach in all our courses.