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Description of  Python In Practice RealWorld Programming Deep Dive (2024)

Last updated 2/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 634.06 MB | Duration: 1h 57m Hands-On Lectures, Notebooks, Scripts, and Functional Python Programming Techniques for Readability and Performance. What you'll learn Master Data Processing Patterns: Learn Mapping, Filtering, and Reducing for efficient data processing in Python. Implement Functional Data Structures: Understand NamedTuples and dataclasses (frozen and mutable). Create Generator Functions and Expressions: Learn to handle large data sets efficiently with generators in Python. Use Python's Higher-order Functions: Gain skills in map(), filter(), and reduce() for concise, readable code. Explore Python's Itertools Module: Develop advanced techniques using itertools for complex data manipulations. Apply Mathematical Functions in Python: Use mathematical functions effectively and craft both readable and performant code. Grasp Functional Programming Philosophy: Understand its core principles and distinction from other paradigms in Python. Compare Python Programming Paradigms: Analyze differences between functional, procedural, and OOP. Requirements 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. 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. Description Who this course is for