A Python project with coding framework and unit testing

A Python project with coding framework and unit testing, available at Free, has an average rating of 4.45, with 32 lectures, based on 186 reviews, and has 8938 subscribers.

You will learn about Python basics and real world coding framework – organizing code, logging, error handling, config file, unit testing This course is ideal for individuals who are Python beginners who are getting ready for real world developer role It is particularly useful for Python beginners who are getting ready for real world developer role.

Enroll now: A Python project with coding framework and unit testing

Summary

Title: A Python project with coding framework and unit testing

Price: Free

Average Rating: 4.45

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

Python beginners who are getting ready for real world developer role

Target Audiences

Python beginners who are getting ready for real world developer role

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: What is Python?

Lecture 3: Installing Python

Lecture 4: Installing PyCharm

Lecture 5: Creating a project in the main Python environment

Chapter 2: Python getting started

Lecture 1: Python basics

Lecture 2: Python dictionary

Lecture 3: Python List and Tuple

Chapter 3: Organizing code, logging and error handling

Lecture 1: Structuring code with classes and functions

Lecture 2: Initializing variables with a constructor

Lecture 3: Logging using basic config

Lecture 4: Logging using file config

Lecture 5: Having multiple loggers in an application

Lecture 6: Error handling with try and except blocks

Chapter 4: Reading configuration and database interaction

Lecture 1: Reading properties from a configuration file

Lecture 2: Installing PostgreSQL

Lecture 3: Reading from and writing to Postgres

Lecture 4: Organizing code further

Lecture 5: Handling the unique key constraint error

Chapter 5: Reading data from a JSON file and storing it in database

Lecture 1: Reading data from a JSON file

Lecture 2: Writing JSON file data to PostgreSQL

Chapter 6: Creating REST APIs

Lecture 1: What is REST?

Lecture 2: Understanding how REST will be used in the application

Lecture 3: Creating a REST API to fetch course list

Lecture 4: Creating a REST API to store course information

Chapter 7: Unit testing

Lecture 1: Python unittest package

Lecture 2: Data and error testing

Lecture 3: Unit testing with PyTest

Chapter 8: Where to go from here?

Lecture 1: Congratulations & Thank You

Lecture 2: Where to go from here?

Lecture 3: Preview – Data Engineering – Hadoop and Spark

Lecture 4: Preview – Machine Learning Deep Learning Model deployment introduction

Instructors

FutureX Skills
Empowering Data Engineers and Data Scientists

Rating Distribution

1 stars: 2 votes
2 stars: 9 votes
3 stars: 28 votes
4 stars: 53 votes
5 stars: 94 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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