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A Master's Course in Python with Certification: Basic to Advanced Techniques to Master Python

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  • Дата: 11-06-2023, 02:38
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A Master's Course in Python with Certification: Basic to Advanced Techniques to Master PythonНазвание: A Master's Course in Python with Certification: Basic to Advanced Techniques to Master Python
Автор: Z. Bey, Sandra B. Whittaker
Издательство: Humanity View
Год: 2023
Страниц: 198
Язык: английский
Формат: pdf, epub (true)
Размер: 10.6 MB

The course includes Certificate of Certification if the students submit the Final Exam with the project that accompanies this book. A Master's Course in Python course is designed to provide students with a solid foundation in Python programming, as well as an introduction to web development, data science, and machine learning. The course covers the fundamental concepts of Python, including data types, variables, control structures, functions, and modules. It also covers advanced essential concepts and best practices of Python. It includes real world case studies, a wealth of Research reports on Python programming concepts, Reference for additional books, website, and other study material as well as a Glossary of Terms. It provides hands-on experience with real-world projects, and prepares students for future opportunities in the field of software development. By the end of the course, students will be able to have a University level of Python programming.

Python is a high-level, general-purpose programming language that is widely used in a variety of industries and applications. It is known for its easy-to-read syntax, making it a great choice for beginners who are just starting to learn programming. With its vast libraries and frameworks, Python allows developers to accomplish a wide range of tasks quickly and efficiently.

One of the main advantages of Python is its versatility. Python can be used in a wide range of applications such as web development, data science, machine learning, artificial intelligence, and more. For example, it is widely used in web development, with popular frameworks such as Django and Flask. In data science, Python is used for data analysis, visualization, and machine learning with popular libraries such as Pandas and Scikit-learn. Additionally, Python is also used in Artificial Intelligence and Machine Learning, with popular libraries such as TensorFlow and Keras.

Another advantage of Python is its large and active community. Python has a large community of developers who contribute to the development of the language and its libraries. This means that there is a wealth of resources available to help you learn and use Python, including tutorials, documentation, and forums. Additionally, there are many Python libraries available, which are pre-written code that can be easily integrated into your projects, saving you time and effort.

Python also has a wide range of use cases in the industry. Many big companies like Google, NASA, Netflix, and Spotify use Python in their development process. This means that the language is in high demand, and that learning Python can open up many career opportunities.

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