Python ensures great simplicity and readability and it has an easy-to-understand syntax. In addition, Python ensures optimum simplicity and allows developers to write clean and readable code. Python provides extensive libraries and frameworks and offers a vast ecosystem of libraries and frameworks. It provides various kinds of useful libraries such as TensorFlow, PyTorch, and scikit-learn which provide ready-to-use tools and functions. Along with this, Python ensures optimum flexibility and scalability and provides users with a versatile environment. It has a strong community support which leads to continuous advancements, and improvements.
Furthermore, Python facilitates rapid prototyping and development and allows developers to focus on the AI logic rather than low-level implementation details. Above all, Python facilitates optimum integration with data science tools with popular data science libraries, such as pandas and NumPy. Thus, making it an ideal tool for conducting data preprocessing, analysis, and visualization. To further know about it, one can visit the Python Course in Delhi. Apart from these, given below are some significant reasons why Python is an ideal language for Artificial Intelligence and Machine Learning.
- A great library ecosystem
- Growing popularity
- A low entry barrier
- Community support
- Good visualization options
- Platform independence
Top Leading Companies that Use Python
Python is an easy-to-read learn technology that reduces the maintenance cost. Along with this, Python is widely applicable and it facilitates easy memory management. It has a large community and it facilitates great integration with other languages. Python offers numerous libraries & frameworks along with high security for businesses. Above all, there is a huge online documentation available for skilled professionals in Python. Numerous companies use Python across numerous sectors. Given below are some of the leading companies that use Python.
- NASA- NASA uses the Workflow Automation System (WAS) which is an application written and developed in Python.
- Google- Google is a leading user of Python that uses this language for managing and maintaining its internal systems.
- IBM- It is a leading American multinational technology company headquartered in New York.
- Reddit- It is heavily influenced by Python and its massive library collection is built by incrementally creating a drastically modified version of each module used.
- Instagram- It uses Python in conjunction with Django, and it has just accepted Python 3 to make it simple, efficient and practical.
- Facebook- Python is useful for managing the backend for production engineering. Using Python ensures that Facebook runs well and is capable of handling the data of two billion people worldwide.
- Quora- This company also uses Python due to its simplicity of programming and readability. Along with this, Quora also uses C++ for performance-critical areas.
- Uber- Most of the Uber services are supported and powered by Python and Node.js. Along with this, Uber uses Tornado as its preferred and most popular Python framework.
- Pinterest- This platform uses Python, primarily Django, in the application layer. Along with this, it also uses Tornado and a sprinkling of Node.js for the web servers.
Career Opportunities in Python
Many businesses in a variety of industries use Python to create software and websites. In addition, Python is helpful for tasks like data analysis, data visualization, and task automation. Since it’s a somewhat simple language to learn, many non-programmers, like biologists and accountants, have also embraced it. Python is a wonderful language to start a career because of its widespread use. Many institutes provide Python Programming for Beginners courses and enrolling in it can help you start a career in this domain. Below are some leading careers you can explore after learning Python.
- Python Developer
- Full Stack Developer
- Data Scientist / Data Analyst
- Data Engineer
- Product Manager
- Machine Learning Engineer
- Performance Marketer
Conclusion
Python ensures great simplicity and readability and it has an easy-to-understand syntax. Along with this, Python ensures optimum flexibility and scalability and provides users with a versatile environment. Furthermore, Python facilitates rapid prototyping and development and allows developers to focus on the AI logic rather than low-level implementation details. Above all, Python facilitates optimum integration with data science tools with popular data science libraries, such as pandas and NumPy. Python is an easy-to-read learn technology that reduces the maintenance cost. In conclusion, Python is helpful for tasks like data analysis, data visualization, and task automation.
