Textbook in PDF format

This introduction to Python covers a broad range of topics, allowing beginners to gain a comprehensive understanding of Python and providing a foundation for more advanced studies.
Python's development has undergone significant milestones, with the most notable being the release of Python 2.0 in 2000, which introduced list comprehensions and garbage collection. In 2008, Python 3.0 (often referred to as "Python 3" or "Py3k") was released, addressing various inconsistencies, and introducing new features. While Python 2 was officially retired in 2020, Python 3 continues to evolve with regular updates.
Python's popularity has surged over the years, making it one of the most widely used programming languages. Its versatility is a key factor in its widespread adoption. Python finds applications in various domains, including:
Web Development: Frameworks like Django and Flask empower developers to build scalable and efficient web applications.
Data Science and Machine Learning: Python's rich ecosystem of libraries, including NumPy, pandas, and TensorFlow, makes it a preferred choice for data scientists and machine learning engineers.
Automation and Scripting: Python's simplicity and ease of use make it ideal for writing scripts and automating repetitive tasks.
Artificial Intelligence: Python is extensively used in AI applications; with libraries such as scikit-learn and PyTorch supporting machine learning projects.
Scientific Computing: The language's numerical capabilities, coupled with libraries like SciPy, make it suitable for scientific computing.
Education: Python's readability and simplicity make it an excellent choice for beginners learning programming