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Python: A Practical Learning Approach
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Название: Python: A Practical Learning Approach
Автор: T.S. Murugesh, Shriram K. Vasudevan, Sini Raj Pulari
Издательство: CRC Press
Год: 2025
Страниц: 166
Язык: английский
Формат: pdf (true)
Размер: 31.2 MB

Python’s simplicity and versatility make it an ideal language for both beginners and experienced programmers. Its syntax facilitates a smooth learning curve, enabling individuals to concentrate on grasping programming concepts instead of wrestling with intricate syntax rules. The extensive standard library reinforces its practicality, offering pre-built modules and functions that reduce manual coding efforts. Python’s versatility is evident in its applications, spanning web development, data analysis, Machine Learning and automation.

The language’s interactive nature supports real-time code experimentation, stepping up the learning process and enhancing understanding. Python’s wealth of online resources further enriches the learning experience, fostering a community where individuals can develop their programming skills.

Python: A Practical Learning Approach exemplifies Python’s simplicity and versatility with numerous examples, ensuring a seamless learning journey. Beyond theory, the language’s practicality allows learners to actively apply their knowledge in real-world scenarios, establishing Python as an asset in education.

Python can be used for building a variety of applications catering to different domains/sectors. One can build Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Data Analysis, Big Data, Automation, Embedded Applications and many other applications with Python. Therefore, it is an ideal choice for anyone to learn.

After the recent humongous growth in the field of Artificial Intelligence (AI), Python has become even more popular. Many libraries, like NumPy, SciPy, Scikit Learn, TensorFlow, Pytorch and more, make Python the most desirable language. It is easier to develop AI applications with Python than other programming languages.

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