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Are you looking to move beyond the fundamental syntax of Python and start building more robust applications? If so, Udemy’s ‘Python Programming Beyond the Basics & Intermediate Training’ might be exactly what you need. This course aims to equip learners with essential intermediate concepts that are crucial for any Python developer, regardless of their specialization.

The course dives into a variety of critical topics, starting with Python iterators. You’ll learn what iterators are, how to create them, and their purpose in efficiently handling data, one element at a time. Following this, the course tackles the concept of scope in Python, explaining how variable and function accessibility is managed within your programs.

String formatting is another key area covered, ensuring you can present your text data exactly as intended. The course then moves into generators, detailing how to build generator functions and expressions, the functionality of the `yield` statement, and its distinction from `return`. This section also explores advanced generator methods for practical application.

A significant portion of the course is dedicated to regular expressions. You’ll gain a deep understanding of pattern matching in text using Python’s `re` library, empowering you to handle complex text manipulation tasks.

Furthermore, the ‘Python Programming Beyond the Basics & Intermediate Training’ provides a thorough look at the Python `collections` module, introducing you to powerful data structures that enhance built-in functionalities. You’ll also learn the practical aspects of packaging a Python project, from structuring your files to building and distributing your package.

The course also covers the `math` and `statistics` modules, demonstrating how to leverage their functions for mathematical operations and data analysis. Finally, the course concludes with a comprehensive exploration of decorators, explaining what they are, how to create them, and how to use them to extend function behavior without direct modification, all with practical examples.

Overall, this course is a valuable resource for anyone aiming to boost their Python programming career. It provides a solid foundation in intermediate concepts, making them accessible and practically applicable across various fields like data science, web development, and machine learning. If you’re ready to become a more productive Python programmer, this course is a highly recommended step.

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