Atharv Gyan

Introduction Overview of Python Programming Language: Python is a high-positioned, interpreted programming language that has come increasingly popular over time. It was first released in 1991 and has since come one of the most extensively used programming languages for a variety of operations, including web development, scientific computing, data analysis, artificial intelligence, and more. Python is known for its simplicity, readability, and versatility, making it a great choice for newcomers and educated inventors likewise. Benefits of Learning Python: There are several benefits to learning Python: Ease of use and readability:  Python has a straightforward and intuitive syntax that makes it easy to write, read, and understand code. Wide range of operations  Python is used in a variety of diligence and for a wide range of operations, from web development to data analysis and machine literacy. Large community and resources: Python has a large and probative community of invento...

P ython is a powerful high level object oriented programming language with a simple syntax. It has many applications but the major ones are web development, software development and data science. Data science is a field where meaningful insights are extracted from data to allow for decision making and planning in businesses. It combines math, statistics, programming, machine learning, artificial intelligence and advanced analytics.  Data Science project life cycle The data science project life cycle consists of various processes which include: data collection, data cleaning, exploratory data analysis, model building and model deployment. Python has multiple libraries which facilitates these processes hence making it suitable for data science. Examples of these libraries are pandas for data analysis, wrangling and cleaning, matplotlib and seaborn for data visualization, tensor flow and scikit-learn for machine learning, keras and pyTorch for deep learning, SciPy and NumPy for mathem...