Panda Gengo metlab and other phyton tools

• Data analysis
• Artificial intelligence / Machine learning
• Mobile Apps
• Desktop Apps
• Web Apps
• Automation
• Hacking
• Testing and more...
• tep 1: Identify What Motivates You. With the right motivation, anyone can become highly proficient in Python programming. ...
• Step 2: Learn the Basic Syntax, Quickly. ...
• Step 3: Make Structured Projects. ...
• Step 4: Work on Python Projects on Your Own. ...
• Step 5: Keep Working on Harder Projects.
• Python is a programming language that has gained immense popularity due to its simplicity and ease of use. It's readability and easy-to-learn syntax makes it popular with developers across multiple industries, including: Web development, data science, and machine learning.

• Python was developed by Guido van Rossum in the late 1980s and was first released on February 20, 1991. The language is named after his group Monty Python Comedy, an old BBC television sketch series 📺 . Many examples in the documentation and tutorials reference Monty Python sketches and movies 🎭.

  Python has a large user community who are active 👥 . This means many resources are available which can be used for learning 📚 , and users can create their own modules for others to use. There are a lot of tutorials, books 📚 , online courses for beginners, and many libraries and frameworks for advanced Python users, but this tutorial will help you understand Python very clearly.