What is python programming language and where uses?

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As an experienced tutor registered on UrbanPro.com, I'd be delighted to provide you with comprehensive information about the Python programming language. Python Programming Language: Python Overview: Python is a high-level, general-purpose programming language known for its simplicity and readability....
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As an experienced tutor registered on UrbanPro.com, I'd be delighted to provide you with comprehensive information about the Python programming language. Python Programming Language: Python Overview: Python is a high-level, general-purpose programming language known for its simplicity and readability. It was created by van Rossum and first released in 1991. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Key Features: Readability: Python emphasizes code readability, making it easy for developers to write and maintain code. Versatility: Python is a versatile language used for web development, data science, artificial intelligence, machine learning, automation, and more. Extensive Libraries: Python has a vast standard library and numerous third-party libraries that simplify complex tasks. Where is Python Used? Web Development: Python is widely used for building web applications using frameworks like Django and Flask. It facilitates quick and efficient development, making it a popular choice among web developers. Data Science and Machine Learning: Python is the language of choice for data scientists and machine learning engineers. Libraries like NumPy, Pandas, and TensorFlow make it powerful for data manipulation, analysis, and building machine learning models. Automation and Scripting: Python is commonly used for scripting and automating repetitive tasks. It simplifies complex processes, enhancing efficiency in various industries. Scientific Computing: Python is employed in scientific research and computational tasks due to its simplicity and extensive libraries. It is used in academic and research institutions for scientific computing and simulations. Python Coaching and Learning: Importance of Python Coaching: Python coaching provides structured learning and guidance to master the language. Tutors offer personalized assistance, addressing individual learning needs. Online Coaching for Python: Online coaching for Python is gaining popularity due to its flexibility and accessibility. Students can learn from experienced tutors globally, breaking geographical barriers. Best Online Coaching for Python: UrbanPro.com hosts a variety of experienced Python tutors offering online coaching. Students can find the best match based on their specific learning requirements and preferences. Conclusion: In conclusion, Python is a versatile programming language used in diverse fields such as web development, data science, machine learning, automation, and scientific computing. Python coaching, especially through online platforms like UrbanPro.com, provides an effective way to learn and master this language with personalized guidance from experienced tutors. read less
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Hi, can anyone tell me where I can learn more and be professionally guided on 1-1 basis , on Machine Learning and Deep learning using Python? I already have statistics and programming background
I would first recommend taking some good Linear Algebra course, you would need some intuitive understanding about concepts like linear leas squares, singular value decomposition, normal equations,etc....
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Why is Python an object-oriented language?
As an object-oriented programming language, Python supports polymorphism, which means multiple forms. In other words, the same entity (method/operator/object) can perform different functions in different...
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What are common uses of Python decorators?
Python decorators are commonly used for: 1. *Logging*: Adding logging functionality to functions or methods. 2. *Authentication*: Checking user permissions or authentication before executing a function. 3....
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Which Python should I learn, Python 2.7 or 3.x?
Better to learn latest versions always. You cannot find much differences. If you learn one version remaining versions you can understand easily.
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