A Python project with coding framework and unit testing

Name: A Python project with coding framework and unit testing
Rating: 4.4 (233 reviews)

Real world python coding framework and unit testing - logging, error handling, config , database, PyTest , REST API

Created byFutureX Skills

Last updated 3/2025

English

What you'll learn

Python basics and real world coding framework - organizing code, logging, error handling, config file, unit testing

Course content

8 sections • 31 lectures • 1h 58m total length

Introduction1:28
What is Python?1:08
Installing Python and PyCharm on Windows4:33
Setting up PyCharm on a Mac1:48

Structuring code with classes and functions8:12
Initializing variables with a constructor4:37
Logging using basic config3:48
Logging using file config4:13
Having multiple loggers in an application3:47
Error handling with try and except blocks2:36
Learn Python error handling by using a try block in the store data function, handling exceptions with an accept block and logger.error to log division by zero.

What is REST?1:13
Build a rest web service with python and learn what a web service is, how rest enables data exchange via json or xml over http.
Understanding how REST will be used in the application1:01
Expose read and write access to your database through restful endpoints over http without exposing credentials, and learn to use get and post methods for secure Python APIs.
Creating a REST API to fetch course list7:37
Creating a REST API to store course information5:27

Python unittest package3:35
Data and error testing4:49
Write unit tests for the read from pg function by importing persist, creating a purchase data object, and asserting the tuple length or undefined table errors.
Unit testing with PyTest5:24
Learn to unit test a Python application with pytest, including configuring PyCharm, writing simple pytest tests with assert, converting from unittest, and running all tests successfully.

Where to go from here?0:33
Preview - Data Engineering - Hadoop and Spark2:43
Master data pipelines with Hadoop and Spark using Python and Scala in free cloud environments, and validate Spark apps with unit testing while preparing data from raw sources to HDFS.
Preview - Data Engineering with Spark Databricks Delta Lake Lakehouse2:06
Preview - Machine Learning Deep Learning Model deployment introduction2:21

Requirements

Basic programming skills and SQL knowledge required

Description

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.

Prerequisites :

Basic programming skills
Basic knowledge of SQL queries

This course uses high-quality AI-generated text-to-speech narration to complement the powerful visuals and enhance your learning experience.

Who this course is for:

Python beginners who are getting ready for real world developer role

A Python project with coding framework and unit testing

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 9min

Python getting started3 lectures • 17min

Organizing code, logging and error handling6 lectures • 27min

Reading configuration and database interaction5 lectures • 21min

Reading data from a JSON file and storing it in database2 lectures • 8min

Creating REST APIs4 lectures • 15min

Unit testing3 lectures • 14min

Where to go from here?4 lectures • 8min

Requirements

Description

Who this course is for: