Python Object-Oriented Programming (OOP) and Advanced Techniques

Duration

16 hours

Course Description

This course is designed to provide participants with a comprehensive understanding of Object-Oriented Programming (OOP) in Python, along with advanced techniques for handling data, file manipulation, and database operations. Participants will gain practical knowledge and hands-on experience to effectively utilize OOP principles, define attributes, work with inheritance, and extend Python’s capabilities to handle data structures like JSON. The course will also cover essential topics such as regular expressions, logging, and performing CRUD operations with databases.

Course Benefits:

• Gain a solid foundation in OOP principles and their implementation in Python.
• Learn to distinguish between instance attributes and class attributes.
• Utilize inheritance to improve code reusability and design.
• Develop the skills to search patterns in input files and manipulate data structures to JSON format.
• Understand how to establish database connections and perform CRUD operations.
• Enhance your Python programming capabilities with advanced techniques and best practices.
• Acquire the ability to handle complex data scenarios, logging, and working with regular expressions.
• Prepare for various roles in the IT industry, such as software developers, DevOps engineers, system administrators, and database administrators.
• Engage in hands-on exercises and real-life case studies to reinforce learning and practical application.
• Gain the necessary skills and knowledge to advance your career in the technology industry.

Learning Outcomes

• The principles of Object Oriented Programming (OOP) using Python.
• Define instance attributes and class attributes. Learn their differences.
• Work with inheritance to reuse code, improve design, and avoid repetition.
• How to search pattern from input file and extend python data structures to JSON format.
• Understand how to perform Database connection and to do CRUD operations.

Pre-requisites

Essential Python programming knowledge is required.

System Requirements

• Operating System: Compatible with Windows, Linux, or macOS.
• Python Version: Python 3.x or later.
• Hardware: Minimum 4GB of memory, 8GB recommended. A processor with a speed of 2GHz or faster (x86_64-compatible), with multi-CPU configuration recommended.

 Who this course is for

• Students aspiring to enter the IT industry.
• Software developers seeking to enhance their Python programming skills.
• DevOps engineers interested in expanding their technical knowledge.
• Database administrators aiming to incorporate Python for database operations.
• System administrators looking to leverage Python for system management.
• Test engineers aiming to enhance their testing capabilities using Python.