In classification, there are many different evaluation metrics. The most commonly used is accuracy, which measures the frequency of correct predictions made by the model. Accuracy is a good metric because it is easy to understand, and we generally want to achieve the most correct guesses. In some cases, you may need to consider using … Read more
The Magic of Python’s lru_cache: Enhancing Function Performance Dialogue Transcript Novice: (frustrated) Some of the functions I wrote take a long time to compute, and they have to recalculate every time they are called. Is there any way to optimize this? Expert: (with a mysterious smile) You must learn about the magical feature called lru_cache! … Read more
Introduction Processes in Python from multiprocessing import Process import time def print_numbers(): for i in range(10): time.sleep(1) print(i) def print_letters(): for letter in 'abcdefghij': time.sleep(1) print(letter) if __name__ == '__main__': process1 = Process(target=print_numbers) process2 = Process(target=print_letters) process1.start() process2.start() process1.join() # join method is used to wait for the process to finish process2.join() —— $ python … Read more
I tested that the MKL library’s Python version should ideally be kept at 3.9, and not greater than 3.9, such as 3.10, 3.11, 3.12, or 3.13, as they are currently not very compatible.Therefore, when configuring, it is best to use conda, and thencreate a virtual environment. conda create -n my_env python=3.9 Activate the virtual environment … Read more
Want to test your child’s Python fundamentals during the summer vacation? This complete collection of 2019 Level 1 Python exam questions includes 50 questions with no explanations, suitable for self-study and filling knowledge gaps! Come and see how many you can answer correctly! 📋 Exam Information • Number of Questions: 50 (20 True/False + 30 … Read more
Hello everyone, I am ICdoeWR. As a Python developer, debugging is an essential part of our daily work. Mastering the methodologies, basic techniques, and advanced strategies for debugging Python code helps us quickly locate and resolve various issues in our code. 1. Debugging is Very Important! Debugging is a critical step in the software development … Read more
Let’s first talk about automated testing! With the rapid development of the internet, if we still rely on manual testing of software functionalities one by one, it would be exhausting, right? Python Selenium provides us with an excellent solution for automated testing! Why is it said that implementing automated testing with Python Selenium is so … Read more
In Python programming, loop statements are fundamental tools that can significantly enhance code efficiency and quality when used effectively. Today, we will delve into advanced techniques for using Python loop statements. Advanced Usage of while Loops Everyone is familiar with the while loop, which has a basic form: while condition_expression: statement_block. It will continue to … Read more
Hey there! Have you noticed that many programs run quite slowly these days? Especially when it comes to handling multiple tasks at once. This is where Python coroutines shine! They can help us achieve efficient asynchronous tasks! First, let’s discuss why we need coroutines to implement efficient asynchronous tasks. For example, if you have a … Read more
Anonymous Functions The lambda keyword creates anonymous functions within Python expressions. However, Python’s simple syntax restricts the body of a lambda function to pure expressions. In other words, the body of a lambda function cannot contain assignments or use statements like while and try. Anonymous functions are most suitable for use in parameter lists. For … Read more