Learn Python with Free Lessons & Tips

Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.

Cool Python tricks include using list comprehensions for concise list creation, lambda functions for quick, small operations, `enumerate()` to loop with index, `zip()` to combine lists, unpacking with `*`, and f-strings for efficient string formatting. These techniques make Python coding faster and cleaner.

Choosing between Python and C++ depends on your goals:

- **Python** is known for its simplicity and readability, making it great for rapid development and ease of learning. It's widely used in data science, web development, and automation. Python's extensive libraries and frameworks make it versatile.

- **C++** offers fine-grained control over system resources and performance, making it suitable for system-level programming, game development, and applications requiring high performance. It has a steeper learning curve but provides powerful features for optimizing and managing hardware resources.

For ease of use and a broad range of applications, Python is often preferred. For performance-critical applications, C++ might be the better choice.

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Python is one of the top programming languages as per the TIOBE and PYPL index for 2024. It opens the door to multiple career opportunities, including web and app development, data engineering, full stack development, DevOps engineering, game development, IoT development, data science, product management, and more

Python offers simplicity, stability, consistency, and ready access to a wealth of libraries and frameworks to speed development, all of which are important in ML and AI projects. Python is also easy to integrate with other languages and provides a well-structured environment for testing and debugging.

Python brings an exceptional amount of power and versatility to machine learning environments. The language's simple syntax simplifies data validation and streamlines the scraping, processing, refining, cleaning, arranging and analyzing processes, thereby making collaboration with other programmers less of an obstacle.

Python is a more robust programming language compared to C as it has strong memory management schemes. The C programming language is mostly used for the development of hardware applications. The number of built-in functions in C are very limited. There are a lot of built-in functions in Python.

Many major internet companies use Python due to its versatility and ease of use. Some prominent examples include:

1. **Google**: Uses Python for various internal and external applications.
2. **Facebook**: Utilizes Python for backend services and data analysis.
3. **Instagram**: Built its initial web app with Python.
4. **Spotify**: Employs Python for data analysis and backend services.
5. **Dropbox**: Uses Python for both desktop applications and backend services.
6. **Reddit**: Built its platform primarily with Python.

Python's strong ecosystem and libraries make it a popular choice for internet companies.

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