Python is a high-level programming language known for its simplicity, readability, and versatility.
Python is easy to learn and understand.
Python has clear and expressive syntax.
Python is an ideal choice for beginners and experienced programmers.
Python is an interpreted language, which means that code can be executed line by line without needing to be compiled beforehand, allowing for quick development cycles and easy debugging.
It comes with a rich standard library and a vibrant ecosystem of third-party libraries and frameworks, enabling developers to build a wide range of applications, from web development to data science to automation.
Python's cross-platform compatibility and extensive community support have contributed to its widespread adoption and popularity in the programming community.
Python is a case-sensitive language, which indicates that declarations of variables in uppercase and lowercase letters are treated differently. such as `Age` and 'age' are two different variables in Python.
Frameworks like Django and Flask are popular choices for building dynamic web applications.
Django: Django is a free and open-source framework, Django is a high-level language (which means human-readable code) and rapid development of web applications can be achieved using Django Framework.
Django Framework is rich in Built-in Modules it offers, such as ORM (Object-Relational Mapping) and many other Built-in features.
Flask: Flask is a lightweight, flexible and scalable micro-framework of Python
Flask provides essential features or modules in its framework to build web applications without any extra bulk from third-party modules.
Python is widely used for data analysis, machine learning, and AI research, with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch being widely adopted in the field.
PySpark: Python API for Apache Spark is widely used and enables distributed data processing and analytics on large datasets fields.
PyTorch: PyTorch was developed by Meta AI Research lab and is now part of the Linux Foundation umbrella, PyTorch is known for its dynamic computation graph, and computer vision, making it popular among researchers and academics.
Python's simplicity and versatility make it well-suited for writing scripts and automating repetitive tasks.
Python is utilized in various scientific and engineering disciplines for numerical computing, simulations, and data visualization.
Python is used in game development, both for scripting within game engines like Unity and for creating games using libraries such as Pygame, Panda3D and Arcade.
Panda3D: Panda3D is a game engine that includes graphics, audio, I/O, collision detection, and other abilities relevant to the creation of 3D games. Panda3D is free, open-source software under the revised BSD license. Panda3D's intended game-development language is Python.
Arcade is an easy-to-learn Python library for creating 2D video games. It is ideal for people learning to program, or developers who want to code 2D games, it offer an easy-to-use API for handling sprites, sound, and user input.
Python finds applications in numerous industries, including:
Python is widely used in tech companies for web development, automation, and machine learning.
Python is used for algorithmic trading, risk management, and financial analysis.
Python was used to analyse risk management on an organization's portfolio and financial stability.
Python is used for medical imaging analysis, drug discovery, and healthcare data analytics.
Python is commonly taught in schools and universities as an introductory programming language.
Real-world Projects: Beginners and Students can start with small datasets and work on data-driven projects, gaining practical experience and insights into data-driven decision-making processes.
AI Education: There are tons of Python Libraries in the market like TensorFlow, Keras, and PyTorch used to teach AI concepts, including Deep Learning, Machine Learning, Neural Networks, and Natural Language Processing(NLP).
Python is used by government agencies for data analysis, automation, and web development.
Python's popularity is continuously increasing and adopted in government offices worldwide due to its versatility, robustness and ease of use.
Financial Analysis: Python's libraries like NumPy, Pandas and Matplotlib are used for Financial forecasting, data and budget analysis, and reporting.
Policy Analysis: Python is used by government organizations to analyze large datasets to derive insights and support evidence-based policymaking using Artificial Intelligence Technology.