People are increasingly learning Python programming due to its versatility and widespread application in data science, machine learning (ML), artificial intelligence (AI), and high-frequency trading (HFT). Data Science: Python's robust libraries, such as Pandas, NumPy, and Matplotlib, simplify dataRead more
People are increasingly learning Python programming due to its versatility and widespread application in data science, machine learning (ML), artificial intelligence (AI), and high-frequency trading (HFT).
Data Science:
Python’s robust libraries, such as Pandas, NumPy, and Matplotlib, simplify data manipulation, analysis, and visualization. Its ease of use and readability make it ideal for handling large datasets and performing complex computations.
Machine Learning (ML) and Artificial Intelligence (AI):
Python offers powerful libraries like TensorFlow, Keras, and PyTorch that streamline the development of ML and AI models. Its simplicity allows researchers and developers to focus on innovation rather than intricate syntax, accelerating the implementation of algorithms and models.
High-Frequency Trading (HFT):
Python’s efficient data processing capabilities and extensive libraries make it suitable for HFT, where speed and accuracy are critical. Libraries such as NumPy and Pandas enable quick data analysis and decision-making, essential for executing trades within milliseconds.
These are the reasons as well as the booming areas for a career in python
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Polymorphism in Object-Oriented Programming allows methods to do different things based on the object it is acting upon, even if they share the same name. It lets one interface be used for a general class of actions, making code more flexible and reusable. Imagine you have a book class with a methodRead more
Polymorphism in Object-Oriented Programming allows methods to do different things based on the object it is acting upon, even if they share the same name. It lets one interface be used for a general class of actions, making code more flexible and reusable.
Imagine you have a book class with a method called “summary()”. If you create two types of books, “novel” and “biography”, each type can have its own version of “summary()”. When you use the “summary()” method on a book, it will show the right summary based on whether the book is a “novel” or a “biography”. Even though you use the same method name, it does different things depending on the type of book.
In this simpler code, the “summar()” method in the “book” class provides a general description, while the “novel” and “biography” classes override it with their specific summaries.