Python: A programming language which many consider beginner friendly. A language which some programmers would argue to other aspiring programmers not to learn it first. Python is widely used in artificial intelligence programs, machine learning, data science, ethical hacking and so much more.
Created in February 20, 1991 by Guido Van Rossum, it is said that the name was inspired from the BBC TV show Monty Python's Flying Circus as the creator was a big fan of the show. It is said that he wanted to create a programming language that was easy to read compared to other programming languages at the time which people considered to have a more difficult syntax.
Python is one of the most used programming languages today. Some of the important reasons are that it is an open source programming language, many people would argue it has a very large library for every field in programming. It also has a large community with people who also create custom libraries, it even has custom IDEs. It is also used in many fortune 500 companies.
With all this why is there a group of people who argue this is a language beginners can learn and sometimes even the same people from the same group that argue that beginners shouldn't start learning it? The main argument the 2nd group advocates is that the programming language is too easy compared to other languages and when they try to learn other languages they might struggle in doing so.
There is no particular answer to the question, it just depends on the person learning it. The first programming language I properly learnt was python, but learning other languages after that was easy as i had something to compare to and I wasn't learning something complex without any context. In fact learning other languages made me understand how python could be working on a deeper level that I was unaware of by only knowing python and I hope that others who start by learning python have a similar experience.
I think that python is definitely a great programming language due to its simplicity while coding and trying to understand it. It also has what some people would consider disadvantages that it is not closer to the system compared to other languages but there are other people who consider the same statement to be an advantage for python. So it all comes down to what a particular person wants and sometimes python just occurs to be a very good option.
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Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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