Introduction to Python
Introduction to Python
💻Technology
Featured Chapters
Introduction to Python
00:00:05 - 00:00:08
Key Features of Python
00:00:29 - 00:00:32
Basic Syntax
00:01:22 - 00:01:25
Running Python Code
00:01:57 - 00:02:00
Conclusion
00:02:34 - 00:02:38
Sources
Python For Beginners | Python.org
https://www.python.org/about/gettin...
The Python Tutorial — Python 3.12.4 documentation
https://docs.python.org/3/tutorial/...
Basic Data Types in Python: A Quick Exploration – Real Python
https://realpython.com/python-data-...
Python (programming language) - Wikipedia
https://en.wikipedia.org/wiki/Pytho...
Introduction To Python - GeeksforGeeks
https://www.geeksforgeeks.org/intro...
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Transcript
Welcome to this in-depth (less) video on Introduction to Python. In this lesson, we'll dive into the world of Python, exploring its history, key features, and how to get started with coding in this versatile language.
Python was created by Guido van Rossum in the late 1980s at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was first released in 1991 as Python 0.9.0.
Python's design philosophy emphasizes code readability and simplicity, making it a popular choice for beginners and experienced programmers alike.
Let's explore some of the key features that make Python so powerful and widely used.
Python is a high-level language, meaning it handles many low-level details for you, allowing you to focus on the logic of your code.
Python is an interpreted language, which means your code is executed line by line, making it ideal for rapid prototyping and development.
Python is dynamically typed, meaning the data type of a variable is determined at runtime, offering flexibility but requiring careful error handling.
Python supports object-oriented programming (OOP), allowing you to define classes and objects that inherit properties and behavior.
Python boasts a comprehensive standard library, often referred to as 'batteries included,' providing a wide range of modules for various tasks.
Python is cross-platform, meaning it can run on Windows, macOS, and Linux, making it accessible to a wide range of users.
Now, let's delve into the basic syntax of Python, which is designed for readability and ease of use.
Python uses indentation to define block-level structure, making code visually clear and organized.
Variables are assigned using the assignment operator, the equals sign. For example, 'x = 5' assigns the value 5 to the variable x.
Python has built-in data types like integers, strings, bytes, and Boolean values, allowing you to represent various types of data.
Functions are defined using the 'def' keyword. This example defines a function called 'greet' that takes a 'name' parameter and prints a greeting message.
Let's get hands-on and learn how to run Python code.
To run Python code, you need a Python interpreter. You can download Python from the official website, and many systems come with it preinstalled.
You can use the built-in IDLE interpreter or install a more advanced IDE like PyCharm or Visual Studio Code.
Write your Python code in a text editor or IDE, starting with simple programs like printing a message or performing basic arithmetic operations.
Run your code by executing the Python interpreter with your script as an argument. For example, if your script is named 'hello.py,' you can run it with 'python hello.py.'
Python is a versatile and easy-to-learn language with a wide range of applications, including web development, data analysis, machine learning, and more. Its simplicity, readability, and extensive standard library make it a great choice for beginners and experienced programmers alike.
Python was created by Guido van Rossum in the late 1980s at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was first released in 1991 as Python 0.9.0.
Python's design philosophy emphasizes code readability and simplicity, making it a popular choice for beginners and experienced programmers alike.
Let's explore some of the key features that make Python so powerful and widely used.
Python is a high-level language, meaning it handles many low-level details for you, allowing you to focus on the logic of your code.
Python is an interpreted language, which means your code is executed line by line, making it ideal for rapid prototyping and development.
Python is dynamically typed, meaning the data type of a variable is determined at runtime, offering flexibility but requiring careful error handling.
Python supports object-oriented programming (OOP), allowing you to define classes and objects that inherit properties and behavior.
Python boasts a comprehensive standard library, often referred to as 'batteries included,' providing a wide range of modules for various tasks.
Python is cross-platform, meaning it can run on Windows, macOS, and Linux, making it accessible to a wide range of users.
Now, let's delve into the basic syntax of Python, which is designed for readability and ease of use.
Python uses indentation to define block-level structure, making code visually clear and organized.
Variables are assigned using the assignment operator, the equals sign. For example, 'x = 5' assigns the value 5 to the variable x.
Python has built-in data types like integers, strings, bytes, and Boolean values, allowing you to represent various types of data.
Functions are defined using the 'def' keyword. This example defines a function called 'greet' that takes a 'name' parameter and prints a greeting message.
Let's get hands-on and learn how to run Python code.
To run Python code, you need a Python interpreter. You can download Python from the official website, and many systems come with it preinstalled.
You can use the built-in IDLE interpreter or install a more advanced IDE like PyCharm or Visual Studio Code.
Write your Python code in a text editor or IDE, starting with simple programs like printing a message or performing basic arithmetic operations.
Run your code by executing the Python interpreter with your script as an argument. For example, if your script is named 'hello.py,' you can run it with 'python hello.py.'
Python is a versatile and easy-to-learn language with a wide range of applications, including web development, data analysis, machine learning, and more. Its simplicity, readability, and extensive standard library make it a great choice for beginners and experienced programmers alike.