Udemy – Advanced Python: Real-World Programming Deep Dive (2025) 2024-2

Advanced Python: Real-World Programming Deep Dive (2025). This course is designed for Python developers who want to take their skills to the professional level. In less than 2 hours, you will learn how to write optimized, readable, and fast code like a top Python programmer and solve complex data science and software engineering problems on large datasets. You will learn practical strategies, advanced techniques, and professional tools that are essential to becoming a top-level developer. The content of this course is completely practical and project-based, and you can apply its teachings directly to real-world software development challenges.

Key Features:
– Learn Functional Programming in Python
– Write clean and efficient code like professional developers
– Solve complex problems with optimized methods
– Practical and applicable to real projects

What you will learn:

• Master data processing patterns: Learn mapping, filtering, and reducing for efficient data processing in Python.
• Implementing functional data structures: Understanding NamedTuples and dataclasses (frozen and mutable).
• Creating generator functions and expressions: Learn how to efficiently manage large data sets with generators in Python.
• Using Python’s higher-order functions: Gain proficiency in map(), filter(), and reduce() for concise and readable code.
• Exploring Python’s Itertools module: Develop advanced techniques using itertools for complex data manipulation.
• Applying Mathematical Functions in Python: Effective use of mathematical functions and creation of readable and high-performance code.
• Understand the philosophy of functional programming: Understand its core principles and how it distinguishes itself from other paradigms in Python.
• Comparing Python programming paradigms: Analyzing the differences between functional, procedural, and OOP.

Who is this course suitable for?

• Aspiring and experienced Python developers: Ideal for those looking to deepen their understanding of Python through the lens of functional programming.
• Data engineers and analysts: professionals who manage and transform large data sets and seek more efficient and readable coding methods.
• Software Architects and Designers: For those who design complex systems and are interested in incorporating functional programming paradigms into their workflow.
• Academic Researchers: Useful for researchers in fields such as data science, computer science, and mathematics who need advanced Python skills for data analysis and algorithm development.
• Anyone curious about Python and functional programming: Whether you’re looking for career advancement or personal growth, this course offers valuable insights into modern programming techniques.

Advanced Python: Real-World Programming Deep Dive (2025) Course Details

• Publisher:  Udemy
• Instructor: Ali Saif Technical Architect (6x AWS Certified) , Marti Castany , AxOps Academy
• Training level: Beginner to advanced
• Training duration: 1 hour and 57 minutes

Course syllabus in 2024/5

Advanced Python: Real-World Programming Deep Dive (2025) Course Prerequisites

• Basic Python Syntax: Familiarity with Python’s syntax, including variables, loops, and basic data types (strings, lists, dictionaries).
• Basic Programming Concepts: Understanding of core programming concepts such as functions, loops, and conditionals.
• Experience with Python Functions: Comfortable with defining and using functions in Python, including the use of parameters and return values.
• Basic Understanding of Python Classes and Objects: Although the course focuses on functional programming, a foundational knowledge of Python’s object-oriented features is beneficial.
• Comfort with Basic Data Structures: Familiarity with Python’s standard data structures like lists, sets, and dictionaries and their common operations.
• Problem-Solving Skills: Specifically, the ability to think logically and solve simple programming problems, as we’ll build on these skills to enable you to solve more complex problems.
• A Computer with Python Installed: Access to a computer with Python 3.9 or above installed. This is essential for practicing the coding exercises.
• An Integrated Development Environment (IDE): Although not mandatory, using an IDE like PyCharm or VS Code can enhance the learning experience.
• Enthusiasm to learn: A willingness to dive into advanced Python concepts and explore new programming paradigms.

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Sample course video

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