Udemy - A Python project with coding framework and unit testing

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size770.4 MB
  • Uploaded Byfreecoursewb
  • Downloads42
  • Last checkedJan. 22nd '22
  • Date uploadedJan. 21st '22
  • Seeders 8
  • Leechers5

Infohash : 235E3548652B7CEB65FF42287884F49538F7E0FA

A Python project with coding framework and unit testing



https://DevCourseWeb.com

Last Update: 11/2021
Duration: 1h 54m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 770 MB
Genre: eLearning | Language: English

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

What you'll learn:
Python basics and real world coding framework - organizing code, logging, error handling, config file, unit testing
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

Files:

[ DevCourseWeb.com ] Udemy - A Python project with coding framework and unit testing
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (6.3 MB)
    • 1. Introduction.srt (2.0 KB)
    • 2. What is Python.mp4 (2.1 MB)
    • 2. What is Python.srt (1.6 KB)
    • 3. Installing Python.mp4 (5.0 MB)
    • 3. Installing Python.srt (0.6 KB)
    • 4. Installing PyCharm.mp4 (19.3 MB)
    • 4. Installing PyCharm.srt (1.7 KB)
    • 5. Creating a project in the main Python environment.mp4 (7.4 MB)
    • 5. Creating a project in the main Python environment.srt (1.7 KB)
    2. Python getting started
    • 1. Python basics.mp4 (52.4 MB)
    • 1. Python basics.srt (7.8 KB)
    • 1.1 learn_python.py (1.1 KB)
    • 2. Python dictionary.mp4 (29.4 MB)
    • 2. Python dictionary.srt (4.8 KB)
    • 3. Python List and Tuple.mp4 (13.9 MB)
    • 3. Python List and Tuple.srt (2.3 KB)
      • PythonCollections idea
      • PythonCollections.iml (0.3 KB)
      • gitignore (0.0 KB)
        • inspectionProfiles
        • Project_Default.xml (0.4 KB)
        • profiles_settings.xml (0.2 KB)
      • misc.xml (0.2 KB)
      • modules.xml (0.3 KB)
      • workspace.xml (4.0 KB)
        • main.py (0.5 KB)
        • learn_python.py (1.1 KB)
        • main.py (0.7 KB)
          • 3. Organizing code, logging and error handling
          • 1. Structuring code with classes and functions.mp4 (45.5 MB)
          • 1. Structuring code with classes and functions.srt (8.3 KB)
          • 2. Initializing variables with a constructor.mp4 (28.7 MB)
          • 2. Initializing variables with a constructor.srt (5.0 KB)
          • 3. Logging using basic config.mp4 (27.7 MB)
          • 3. Logging using basic config.srt (4.5 KB)
          • 4. Logging using file config.mp4 (28.8 MB)
          • 4. Logging using file config.srt (5.2 KB)
          • 5. Having multiple loggers in an application.mp4 (28.8 MB)
          • 5. Having multiple loggers in an application.srt (3.9 KB)
          • 6. Error handling with try and except blocks.mp4 (18.4 MB)
          • 6. Error handling with try and except blocks.srt (3.1 KB)
            • FileProcessor __pycache__
            • ingest.cpython-39.pyc (0.8 KB)
            • persist.cpython-39.pyc (1.0 KB)
            • driver.py (0.8 KB)
              • idea
              • FileProcessor.iml (0.3 KB)
              • gitignore (0.0 KB)
                • inspectionProfiles
                • Project_Default.xml (0.4 KB)
                • profiles_settings.xml (0.2 KB)
              • misc.xml (0.2 KB)
              • modules.xml (0.3 KB)
              • workspace.xml (6.3 KB)
              • ingest.py (0.4 KB)
              • persist.py (0.5 KB)
                • resources configs
                • logging.conf (0.5 KB)
                4. Reading configuration and database interaction
                • 1. Reading properties from a configuration file.mp4 (23.3 MB)
                • 1. Reading properties from a configuration file.srt (3.6 KB)
                • 2. Installing PostgreSQL.mp4 (23.3 MB)
                • 2. Installing PostgreSQL.srt (4.0 KB)
                • 3. Reading from and writing to Postgres.mp4 (71.0 MB)
                • 3. Reading from and writing to Postgres.srt (9.6 KB)
                • 4. Organizing code further.mp4 (24.3 MB)
                • 4. Organizing code further.srt (3.3 KB)
                • 5. Handling the unique key constraint error.mp4 (13.8 MB)
                • 5. Handling the unique key constraint error.srt (2.2 KB)
                  • FileProcessor __pycache__
                  • ingest.cpython-39.pyc (0.8 KB)
                  • persist.cpython-39.pyc (2.1 KB)
                  • driver.py (0.8 KB)
                    • idea
                    • FileProcessor.iml (0.3 KB)
                    • gitignore (0.0 KB)
                      • inspectionProfiles
                      • Project_Default.xml (0.4 KB)
                      • profiles_settings.xml (0.2 KB)
                    • misc.xml (0.2 KB)
                    • modules.xml (0.3 KB)
                    • workspace.xml (6.9 KB)
                    • ingest.py (0.4 KB)
                    • persist.py (2.2 KB)
                      • processor __pycache__
                      • ingest.cpython-39.pyc (0.8 KB)
                      • persist.cpython-39.pyc (2.3 KB)
                      • ingest.py (0.4 KB)
                      • persist.py (2.4 KB)
                        • resources configs
                        • logging.conf (0.5 KB)
                        • fileprocessor.ini (0.1 KB)
                          • resources configs
                          • logging.conf (0.5 KB)
                          • fileprocessor.ini (0.1 KB)
                          • Postgres-course-catalog.sql (1.1 KB)
                          • data_pipeline.py (3.4 KB)
                            • pipeline __pycache__
                            • ingest.cpython-39.pyc (1.9 KB)
                            • persist.cpython-39.pyc (1.8 KB)
                            • transform.cpython-39.pyc (1.0 KB)
                            • ingest.py (1.5 KB)
                            • persist.py (1.8 KB)
                            • postgresql-42.2.18.jar (981.2 KB)
                              • resources configs
                              • logging.conf (0.6 KB)
                              • pipeline.ini (0.1 KB)
                              • retailstore.csv (0.3 KB)
                              • transform.py (0.6 KB)
                                • 5. Reading data from a JSON file and storing it in database
                                • 1. Reading data from a JSON file.mp4 (19.5 MB)
                                • 1. Reading data from a JSON file.srt (2.7 KB)
                                • 2. Writing JSON fi

Code:

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