06-22-2023, 11:16 AM
Unlock the Power of Python and Excel in Your Programming Journey
What you'll learn
Master Python fundamentals: Variables, data types, control structures, functions, and object-oriented programming.
Explore advanced Python syntax: List comprehensions, generators, context managers, and decorators.
Understand metaprogramming in Python: Modify and generate code dynamically using decorators, metaclasses, and introspection.
Learn Pythonic design patterns: Singleton, Factory, Observer, and Strategy patterns for writing maintainable code.
Dive into functional programming in Python: Higher-order functions, lambda expressions, and functional libraries.
Gain expertise in Python standard library: Modules for file I/O, networking, web scraping, and regular expressions.
Develop performance-optimized Python code: Profiling, memory management, and efficient algorithms.
Fine-tune Python applications: Packaging, versioning, documentation, and dependency management.
Become proficient in testing and debugging Python code: unittest/pytest, error handling, and troubleshooting.
Explore advanced Python libraries: NumPy, Pandas, Matplotlib, and SciPy for data manipulation and analysis.
Master concurrent programming in Python: Multithreading, multiprocessing, and asynchronous programming with asyncio.
Apply Python in real-world projects: Work on practical applications to showcase Python mastery and problem-solving skills.
Course content
13 sections • 69 lectures • 11h 38m total length
Free coupon:
https://www.udemy.com/course/beginners-guide-into-python-become-a-master-at-python/?couponCode=80F770A7C54A454422BB
Have a nice day!
What you'll learn
Master Python fundamentals: Variables, data types, control structures, functions, and object-oriented programming.
Explore advanced Python syntax: List comprehensions, generators, context managers, and decorators.
Understand metaprogramming in Python: Modify and generate code dynamically using decorators, metaclasses, and introspection.
Learn Pythonic design patterns: Singleton, Factory, Observer, and Strategy patterns for writing maintainable code.
Dive into functional programming in Python: Higher-order functions, lambda expressions, and functional libraries.
Gain expertise in Python standard library: Modules for file I/O, networking, web scraping, and regular expressions.
Develop performance-optimized Python code: Profiling, memory management, and efficient algorithms.
Fine-tune Python applications: Packaging, versioning, documentation, and dependency management.
Become proficient in testing and debugging Python code: unittest/pytest, error handling, and troubleshooting.
Explore advanced Python libraries: NumPy, Pandas, Matplotlib, and SciPy for data manipulation and analysis.
Master concurrent programming in Python: Multithreading, multiprocessing, and asynchronous programming with asyncio.
Apply Python in real-world projects: Work on practical applications to showcase Python mastery and problem-solving skills.
Course content
13 sections • 69 lectures • 11h 38m total length
Free coupon:
https://www.udemy.com/course/beginners-guide-into-python-become-a-master-at-python/?couponCode=80F770A7C54A454422BB
Have a nice day!