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Learn about function arguments and return values in Python. Understand how to pass data to functions, use default and keyword arguments, and return results efficiently.

Understand loops in programming with a focus on for and while loops. Learn how to use them effectively to automate repetitive tasks and control program flow.

Explore Python dictionaries, a powerful data structure for storing key-value pairs. Learn about dictionary methods, iteration techniques, and best practices for efficient programming.

Learn how to define and call functions in Python with easy-to-follow examples. Understand function syntax, parameters, return values, and best practices for writing efficient Python code.

Writing, Running, and Debugging Python Scripts in PyCharm PyCharm is a powerful IDE for Python development, offering tools to streamline writing, running, and debugging code. Here’s a quick guide: 1. Writing Python Scripts Create a Project: Open PyCharm and start a new project or open an existing one. New Python File: Right-click the project folder, select New > Python File, and start coding. Code Assistance: Take advantage of syntax highlighting, code suggestions, and auto-completion. 2. Running Python Scripts Run the Script: Click the Run button (▶) or right-click the file and select Run 'script_name'. Shortcut: Press Shift + F10 to quickly run the script. View Output: The output appears in the Run window at the bottom. 3. Debugging Python Scripts Set Breakpoints: Click next to line numbers to add breakpoints. Start Debugging: Click Run > Debug or press Shift + F9. Inspect and Step Through Code: Use the Debug window to inspect variables and control code execution. 4. Key Features for Efficiency Code Navigation: Quickly jump to functions, classes, and variables. Integrated Terminal: Run commands directly in the IDE. Version Control: Git and VCS integration for easy source control management. Virtual Environments: Manage dependencies seamlessly with virtual environments. Mastering PyCharm enhances your coding speed and efficiency, making it easier to write, run, and debug Python scripts.