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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  • Live Online Training (Duration : 16 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that you are well-prepared and can derive maximum benefit from the 55285A: Advanced Python course, the following prerequisites are recommended:

  • Basic understanding of Python syntax and programming constructs such as variables, loops, and functions.
  • Familiarity with Python data types including strings, integers, lists, and dictionaries.
  • Experience with writing and executing Python scripts at a beginner to intermediate level.
  • Basic knowledge of Python modules and packages, and how to import them.
  • Understanding of fundamental programming concepts such as conditionals, iteration, and flow control.
  • Comfortable using a text editor or integrated development environment (IDE) to write Python code.
  • Ability to navigate and perform basic operations in the command line or terminal.

While this course is designed to advance your Python skills, these prerequisites are in place to ensure that all participants are starting from a similar level of understanding. If you are new to Python or programming in general, we recommend beginning with a foundational Python course before attempting this advanced level training.

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.