Why Python ?

[emmanueljohnsonpy]

Why?

[amalthobyy]

*Readable and Easy to Learn
*Versatile and Multi-Purpose
*Extensive Libraries and Frameworks
*Strong Community and Support

[Vansh-c]

hello brother , well I just started to give a go on github, I wanna ask where I can find projects for practice (I need some examples to solve on my own) .Question level must be easy to moderate. I am student , can you please tell me about which course I should try on udemy or coursera to make myself capable of solving real life problems

[amalthobyy]

To find projects for practice, you can explore these options:

Beginner-friendly repositories on GitHub: Search for repositories tagged with "good first issue" or "beginner-friendly." These are perfect for new learners.
Project-based websites: Websites like Frontend Mentor (for web development) or FreeCodeCamp offer project challenges.
Build small projects on your own: Start simple, like a to-do app, a calculator, or even a weather app using public APIs.
Open-source communities: Join beginner-friendly open-source projects on GitHub. They often have easy-to-moderate issues to solve, and maintainers are usually supportive.
As for courses, platforms like Udemy and Coursera have some great options. Here are a few recommendations:

For problem-solving and real-life scenarios:

Udemy: “100 Days of Code: The Complete Python Pro Bootcamp” by Dr. Angela Yu (great for Python and practical projects).
Coursera: “Python for Everybody” by Dr. Charles Severance (focuses on practical programming concepts).
For Git and GitHub basics:

Udemy: “Git Complete: The Definitive Guide to Git” by Jason Taylor.
Coursera: “Version Control with Git” by Atlassian.
Focus on building skills step by step. Start with small, manageable projects, and gradually challenge yourself with more complex ones. Remember, consistency is key, and don’t hesitate to ask for help or collaborate with others.

[Marshope]

There are usually the following reasons for choosing Python:
Simple and Intelligible Syntax:
Python has a simple syntax that is relatively similar to English, and the code is highly readable. For example, it uses indentation to define code blocks instead of complex symbols like semicolons or curly braces in some other languages, which enables beginners to get started more quickly.
It doesn't have too many unnecessary boilerplate documents, and both novice and experienced developers can understand and write code relatively easily.
Rich Libraries and Tools:
Python has extremely rich and powerful libraries. For instance, there are NumPy and SciPy in data calculation, and Django in web development, etc.
These libraries can greatly reduce the workload of writing basic code during the development process, improve development efficiency, and allow developers to focus on solving specific problems rather than building all features from scratch.
Wide Range of Application Areas:
- In the field of data science, Python is the preferred language for data pre - processing, exploratory analysis, and data mining.
- In the fields of machine learning and artificial intelligence, Python is also widely used. Many popular machine - learning frameworks such as TensorFlow and PyTorch are based on Python.
- At the same time, it also performs well in web development, script writing, automated operation and maintenance, etc. It can be used to develop websites, write automated scripts, conduct system management, and various other tasks.
Cross - Platform Ability**: Python has good cross - platform capabilities and can run on different operating systems (such as Windows, Linux, macOS, etc.), which makes the developed programs more widely applicable without the need for a large amount of modification and adaptation work for different platforms.
Active Community:
Python has a large and active community, which means that a large number of learning resources, tutorials, code examples can be easily found and help and support from other developers can be obtained. When encountering problems, solutions can be quickly found in the community or guidance can be obtained, which promotes communication and learning among developers and helps to continuously improve their programming skills.
Career Development Opportunities: With the wide application of Python in various industries, the demand for Python developers is increasing day by day. Mastering Python can bring more career opportunities and relatively good salary treatment for individuals. Whether in software development, data analysis, artificial intelligence, and other fields, there are broad employment prospects.
Easy to Integrate**: Python can be easily integrated with other languages and tools and can interact with modules written in languages like C and C++, thus giving full play to the advantages of different languages and meeting the requirements of complex projects.

[codeftsaikat]

Python is a versatile, easy-to-learn programming language with simple syntax, making it ideal for beginners and experts alike. It offers powerful libraries, supports multiple programming paradigms, and is widely used in web development, AI, data science, and automation. With strong community support and cross-platform compatibility, Python is reliable, efficient, and future-proof.

[loveinabox]

Python was chosen as the programming language mainly because of its simplicity and ease of reading, strong community support, and rich libraries. Python code is simple, quick, suitable for beginners. At the same time, it has a wide range of applications in data science, machine learning, web servers and other fields. In addition, Python's cross-platform nature and open source community ensure that it is constantly updated and optimized.

[BXY1217]

Python based on its concise syntax, strong library of standards and active community support, its development efficiency and learning curve are smooth. Ideal for rapid development, prototyping, and a wide range of applications, including Web development, data science, artificial intelligence, automated scripting, and more.

[232301060103]

Python based on its concise syntax, strong library of standards and active community support, its development efficiency and learning curve are smooth. Ideal for rapid development, prototyping, and a wide range of applications, including Web development, data science, artificial intelligence, automated scripting, and more.

[ZhiXIaox]

Python is popular for several reasons.

1. Ease of learning

• Python has a simple and clean syntax. For example, compared to languages like C++, its code is more straightforward and easier to read and write, which is very friendly for beginners.

2. Rich libraries

• There are numerous libraries. For instance, NumPy for numerical computing and Matplotlib for data visualization. These libraries save a great deal of development time as they provide pre - built functions for common tasks.

3. Versatility

• It can be used in various fields. In web development, frameworks like Django are based on Python. In data science, it is widely used for data analysis, machine learning, and artificial intelligence. Also, it is suitable for scripting, automation, and system administration tasks.

4. Community support

• There is a large and active Python community. This means that developers can easily find help, share knowledge, and access a wide range of open - source projects and resources.