Learning Python🚀 I've embarked on a Python learning journey, mastering fundamental concepts that form the backbone of this versatile programming language. 📚 Here's a summary of what I've covered: (1 of 10) #ALX_SE #tech #100DaysOfCode #programming

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👨‍💻 The Python Interpreter: I learnt how to interact with the Python interpreter. It works almost as the Unix Shell, when called it reads and execute commands interactively, if called with a file as STDIN, it reads and execute a script from the file. (2 of 10)

🕹️Control Flows: Learned how to Navigate the flow of py programs with if, else, and elif statements, and also with loops (for and while) ensuring logical and structured code execution. (3 of 10)

3. 🗃️Data Structures: Lists, Tuples, Dictionaries: 💡Lists: ordered collection that can contain elements of different data types. similar to arrays, it is mutable and can be indexed 💡Tuples: Similar to lists but immutable(can't be modified)

💡Dictionaries: unordered collection of key-value pairs, providing a mapping between keys and associated values. (4 of 10)

4. 🌟Functions Unveiled: Arguments and Keyword Arguments: *args and **kwargs are used in function definitions to allow for a variable number of arguments. 💡The *args syntax in a function signature collects additional positional arguments into a tuple.

💡The **kwargs syntax in a function signature collects additional keyword arguments into a dictionary. (5 of 10)

Played a bit with Byte Code: Bytecode in Python refers to a set of low-level instructions representing a compiled version of Python source code. When you run a Python script, the Python interpreter translates the high-level Python code into bytecode before executing it. (6 of 10)