Course Description:
Unlock the full potential of Python programming with this comprehensive course designed to help you write efficient, elegant, and expressive code. Whether you’re a seasoned developer or just starting out, Michele Vallisneri will guide you through the intricacies of Python programming, showcasing best practices, powerful features, and third-party packages to streamline your development process. From installation and setup to performance optimization and parallel programming, this course covers everything you need to write high-quality Python code efficiently.
Course Highlights:
Learn efficient programming techniques with Python
Master installation and setup using Anaconda distribution
Write expressive code with Pythonic constructs and idioms
Leverage powerful libraries like requests, Pillow, Beautiful Soup, and Flask
Explore object-oriented and functional programming in Python
Optimize code performance with time and memory profiling
Discover strategies for parallel programming and algorithm optimization
Engage in hands-on exercises and quizzes for practical learning
What You’ll Learn:
Efficient Python programming techniques and best practices
Installation and setup of Anaconda distribution on macOS and Windows
Writing expressive code with Pythonic constructs and idioms
Leveraging third-party libraries for web scraping, image manipulation, and web development
Object-oriented and functional programming principles in Python
Strategies for optimizing code performance and improving algorithm complexity
Introduction to parallel programming concepts and techniques
Who Is This Course For:
Intermediate Python developers looking to enhance their programming skills
Software engineers seeking to write more elegant and efficient Python code
Python enthusiasts interested in learning advanced programming techniques and best practices
Professionals aiming to streamline their development process and boost productivity
Course Contents:
Introduction to Efficient Python Programming
Installation and Setup of Anaconda Distribution
Writing Python Efficiently: Python vs. C, Designing Efficient Loops, Comprehensions and Generators
Leveraging Python Libraries: Requests, Pillow, Beautiful Soup, Matplotlib, Flask
Object-Oriented and Functional Programming in Python
Performance Optimization Techniques: Time and Memory Profiling, Algorithm Complexity, Parallel Programming
Hands-On Challenges and Solutions: Analyzing Olympic Medalist Data, Building Image-Editing Application, Implementing Inverted Index
What You Get:
Access to 2 hours and 19 minutes of comprehensive video lectures
Hands-on exercises and quizzes for practical learning
Downloadable exercise files for offline practice
Intermediate skill level suitable for aspiring Python developers
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