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55285A: Advanced Python Course Overview

55285A: Advanced Python Course Overview

The 55285A: Advanced Python course is a comprehensive training program designed for individuals looking to deepen their knowledge and expertise in advanced coding in Python. This course covers a range of sophisticated topics, from Lambda functions to Advanced list comprehensions and the Collections module in Module 1. Learners will explore the intricacies of data handling in Module 2, including Working with relational databases, CSV files, and Extracting data from the web. In Module 3, the focus shifts to Testing and debugging for optimal performance. Finally, Module 4 dives into Classes and objects, where Attributes, Inheritance, and Decorators are demystified.

This course is regarded as the best course for advanced Python due to its thorough curriculum and practical applications, addressing complex topics that prepare learners for real-world programming challenges. It is tailored to help participants refine their Python capabilities, ensuring they can write more efficient, effective, and high-quality Python code.

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Course Advisor

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Simmi Anand

9+ Years Experience

I am Simmi Anand, a Microsoft Certified Trainer, and UiPath Certified Advanced RPA Developer with over 12 years of rich experience in corporate training and the IT sector. I have been working with Koenig Solutions for the past 8+ years, providing quality training on technologies related to Development, Automation and Testing using various Languages (e.g., Python, Java) and Tools e.g., Robotic Process Automation using UiPath and Automation Anywhere. In addition, I also deliver training on Microsoft and Google technologies, including Mobile Application Development for Android, iOS with Swift, Hybrid Mobile Application using PhoneGap, Microsoft SQL Server, Microsoft PowerApps & Flow, Power Platform and PostgreSQL to global and corporate clients.   One reason I enjoy this field and the challenges that come with it is the opportunity to connect with people and solve their IT needs. I am also passionate about learning technologies and gaining solid knowledge about them. I have conducted various onsite training assignments globally with esteemed clients such as Microsoft - India, KPMG, Raw Bank - DRC, FRCI - Mauritius, Google Train the Trainer Project, Infosys, TCS, Wipro, and many others. Associated with Koenig since February-2016.

Koenig is the ANZ Winner of FY24 Superstar Campaign Winner of the Microsoft’s Asia Superstar Campaign in FY 22

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Target Audience for 55285A: Advanced Python

The 55285A: Advanced Python course is designed for experienced Python developers looking to deepen their knowledge in advanced programming, data handling, and software design.


Target audience for the course includes:


  • Software Developers and Programmers with Python experience
  • Data Scientists and Analysts looking to enhance data manipulation skills
  • Database Administrators interested in Python for automation and data processing
  • Data Engineers who want to improve their data pipeline scripting abilities
  • Backend Developers aiming to refine their coding and debugging practices
  • DevOps Engineers who use Python for scripting and automation tasks
  • IT Professionals needing advanced Python skills for system optimization
  • Software Architects designing complex systems with Python
  • Quality Assurance Engineers focused on test automation in Python
  • Technical Leads and Managers overseeing Python projects
  • Academic Researchers utilizing Python for complex data analysis


Learning Objectives - What you will Learn in this 55285A: Advanced Python?

  1. Introduction: The Advanced Python 55285A course deepens your understanding of complex Python features, enhancing your programming, data handling, and software development skills to an expert level.

  2. Learning Objectives and Outcomes:

  • Master the use of lambda functions for creating anonymous, inline functions to simplify code readability and maintenance.
  • Employ advanced list comprehensions for more efficient data processing and manipulation within lists.
  • Utilize the Collections Module to implement specialized container datatypes, optimizing data organization and retrieval.
  • Implement mapping and filtering to transform and filter data collections without the need for explicit loops.
  • Understand the distinction between mutable and immutable objects in Python and their implications for data stability and performance.
  • Learn advanced sorting techniques, including custom sorting logic, to effectively organize complex data structures.
  • Apply sequence unpacking in function calls to improve code clarity and parameter management.
  • Manage and manipulate data using Python's SQLite database integration for robust and scalable data-driven applications.
  • Develop testing and debugging strategies using the unittest module, ensuring code reliability and performance optimization.
  • Design and manage classes and objects, including inheritance, abstract classes, and decorators, to create well-structured, reusable, and scalable code bases.

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