This resource offers a total of 290 Python Regular Expression problems for practice. It includes 58 main exercises, each accompanied by solutions, detailed explanations, and four related problems. A regular expression (or RE) specifies a set of strings that matches it; the functions in this modul...
Get ready for your Google Python interview with these essential questions. Prepare for technical challenges and demonstrate your Python skills.
Each exercise contains coding assignments focused on a specific Python topic for practice, where you need to solve different programs and challenges. All exercises are tested on Python 3. Each exercise has 15-30 Questionsand focuses on specific Python topics, providing you with targeted questions to...
PyDev emphases on debugging in the graphical pattern, Python code refactoring, code analysis, etc. From the developer’s point of view, PyDev is more flexible to use since they get extra features as PyDev is a plugin for Eclipse. Features: PyDev has strong parameters like refactoring, ...
20. Alphabet Pattern 'G' Write a Python program to print the alphabet pattern 'G'. Expected Output: *** * * * * *** * * * * *** Click me to see the sample solution 21. Alphabet Pattern 'L' Write a Python program to print the alphabet pattern 'L'. ...
One for the arithmetic tests and another for the statistical tests: Python test_calculations.py # ... def load_tests(loader, standard_tests, pattern): suite = unittest.TestSuite() suite.addTests(loader.loadTestsFromTestCase(TestArithmeticOperations)) suite.addTests(loader.loadTestsFromTestCase(...
Python Interview Questions for Beginners The following questions test the basic knowledge of Python keywords, syntax and functions. 1. What is a dynamically typed language? A dynamically typed language is a programming language in whichvariable types are determined at runtime, rather than being explic...
You might be asked questions to test your knowledge of a programming language. On the other side, you can be given a task to solve in order to check how you think. And when you are interviewed for a data scientist position, it's likely you can be asked on the corresponding tools ...
Pattern matching for sequences, mappings, and objects Guards and capture patterns Example:def process_command(command): match command.split(): case ["go", direction]: return f"Moving {direction}" case ["pick", "up", item]: return f"Picking up {item}" case ["quit"]: return "Quitting...
For example, say you need to protect the balance of a bank account: Python import threading balance_lock = threading.Lock() # Use the try ... finally pattern balance_lock.acquire() try: # Update the account balance here ... finally: balance_lock.release() # Use the with pattern ...