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why is python necessary?

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Rafael Alfonso’s Answer

Hey there, Ivy! You've probably heard that Python is a must-have skill, right? Well, it's not exactly like that. When people say Python is necessary, they're often referring to its use in coding.

But let's clear something up - Python is just one of many tools available for programming. It's like a favorite tool in a handyman's kit - popular and loved by many because it's user-friendly and incredibly powerful.

When it comes to data analysis, Python really shines. It has a ton of libraries specifically designed for this purpose. That's probably why it's almost a default choice for aspiring data analysts.

So, when you hear that Python is necessary, it might be a good idea to dig a little deeper. Ask what they mean by 'necessary'. Compare Python with other programming languages like Golang, Node, Java, and so on. You might find that what's necessary for one person might not be the same for you. Happy coding!
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Fred’s Answer

Python is NOT necessary. Python, like all programming languages, is a tool. It's very good for some things, and not so good for others. A hammer is a fantastic tool, but if your job is to cut lumber down to size, a hammer is a TERRIBLE thing to use.

It's hard to get into the details of what the pros and cons of python are, if you don't have a good background in coding and IT.

My understanding of the pros and cons - and this is the kind of thing that can be debated for decades - is:

Pros:
Good for beginners
Lots of support/libraries
scaleable
it's good for rapid prototyping

Cons:
Can be slower than a compiled language
Garbage collection can impact performance
Does not have true multithreading

Note: I am not an expert on Python. This is just my current understanding of the language.
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David’s Answer

Python is necessary in programming due to its versatility and ease of use. Its straightforward syntax and readability make it an ideal language for beginners to learn, while its powerful capabilities attract seasoned developers. Python's versatility allows it to be used in various domains, including web development, data analysis, artificial intelligence, scientific computing, and automation. Its extensive standard library provides developers with pre-built modules and functions for common tasks, reducing the need to reinvent the wheel and accelerating the development process. Moreover, Python's support for multiple programming paradigms, such as procedural, object-oriented, and functional programming, enables developers to approach problems from different angles, fostering creativity and innovation in software development.

Furthermore, Python's thriving community and ecosystem play a crucial role in its necessity in programming. The large and active community of Python developers contributes to the language's growth by creating libraries, frameworks, and tools that extend its capabilities. This vibrant ecosystem ensures that developers have access to a wealth of resources, support, and best practices when building applications in Python. Additionally, Python's platform independence allows code written in Python to run seamlessly on various platforms, further enhancing its appeal and making it an indispensable tool for programmers worldwide. Overall, Python's combination of simplicity, versatility, extensive library support, active community, platform independence, and job opportunities solidifies its necessity in the programming landscape.
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Vinay’s Answer

Python is a fantastic tool, but it's not the only one out there. You're free to pick any programming language you prefer, be it C, C++, Java, C#, Rust, Go, or any other from a wide array of options. From my personal experience juggling multiple languages like C, C#, Java, and Python, I found Python somewhat easier to grasp due to its straightforward syntax and dynamic nature.

But here's the key takeaway: you're free to kick off your journey with any language, then gradually master concepts like OOPS, DS, and Algo. When it comes time to land a Software Engineering role, chances are you'll be using a different language. In fact, most job descriptions are open to experience in any programming language. So, as long as you've got a solid grasp of the concepts, you'll have no trouble adapting to other programming languages.
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Iqra’s Answer

Learning Python is considered necessary for several reasons:

Versatility and Wide Usage: Python is a highly versatile programming language used in various fields such as web development, data science, artificial intelligence, machine learning, automation, and more. Its wide applicability makes it a valuable skill for many career paths.

Ease of Learning: Python has a simple and readable syntax, which makes it an excellent choice for beginners. Its learning curve is relatively gentle compared to other programming languages, allowing new programmers to quickly grasp the fundamentals and start building projects.

Large Community and Support: Python has a large and active community. This means there are plenty of resources, tutorials, and libraries available to help you solve problems and learn new skills. The community support makes it easier to find answers and collaborate with others.

Extensive Libraries and Frameworks: Python boasts a rich ecosystem of libraries and frameworks that simplify complex tasks. For example, libraries like Pandas and NumPy are essential for data analysis, while frameworks like Django and Flask are popular for web development.

High Demand in Job Market: Python is one of the most in-demand programming languages in the job market. Many tech companies, including giants like Google, Facebook, and Amazon, use Python for various applications. Learning Python can improve your job prospects and open up opportunities in different industries.

Integration Capabilities: Python can easily integrate with other languages and technologies. This makes it a great choice for projects that require interoperability between different systems and platforms.

Strong Support for Automation and Scripting: Python is widely used for scripting and automating repetitive tasks, which can save time and increase productivity. Tools like Selenium for web automation and Ansible for IT automation are built using Python.

Overall, learning Python equips you with a powerful toolset that can be applied to a wide range of problems and industries, making it a valuable and necessary skill in today's technology-driven world.
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Ryan’s Answer

Hi Ivy, looks like you already have a bunch of answers, but I would still like to chime in. Python is necessary due to its versatility, ease of learning, and widespread use across various fields. Its simple syntax and readability make it an excellent choice for beginners, while its powerful libraries and frameworks support complex tasks in web development, data analysis, artificial intelligence, machine learning, and automation. Python's active community and extensive documentation provide robust support, making problem-solving more manageable. Additionally, its cross-platform compatibility and integration capabilities with other languages and technologies make it a valuable tool in both academic and professional settings, ensuring that skills learned with Python are applicable and in demand across many industries.
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Adrian’s Answer

Python is a great language to learn for data engineering/data science. For other domains (E.g. web development, mobile development, desktop development, etc.) not so much as there are other languages better suited (E.g. Java, C++, C#, .NET, etc.). For example, I'm a data engineer, work with Databricks doing cloud data engineering (ETL, ELT, data pipelines, etc.), I use most often SQL, sometimes I'll use Python, and sometimes I'll mix SQL and Python in the same notebook/pipeline. It all depends on the type of work needed. Performance is often the best criteria as some solutions in SQL may perform better than Python.
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Laurence’s Answer

Python may not be essential, but it's an excellent language to pick up due to its simplicity. Moreover, once you've mastered Python, you'll find it a breeze to learn other languages like JavaScript, Java, C++, C sharp and many more. This is because they all have a lot in common with Python, as they all originate from C. So, learning Python can be your stepping stone to mastering many other programming languages. Keep going, you're doing great!
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Xiaojie Johan’s Answer

Hello Ivy,

Thanks for asking. Python might not be necessary if you learn other code, but it is a good starting point for many. It is easily learned, intuitive and a good start in programming. I personally know some Python, but it is not my preferred coding language.

Hopefully this helps!

Best regards,

Johan
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Siddhi Vinod’s Answer

Hi Ivy,

1- Python is an essential tool in the realm of Data Analytics, widely recognized for its capabilities in data cleansing, transformation, and analysis.
2- Its user-friendly nature makes it an ideal starting point for beginners looking to venture into programming.
3- The demand for Python developers is continuously on the rise, particularly in the Data Analytics field.
4- A myriad of exciting career paths await in AI projects, including neural networks, machine learning, and natural language processing.
5- As an open-source software, Python offers the freedom to use, modify, and distribute it as you see fit.

By exploring courses on platforms like Udemy or LinkedIn, you can build a robust foundational understanding of Python. These resources have been instrumental in shaping my own career in the data analytics domain. Thanks.
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V’s Answer

Python isn't an absolute requirement, but it sure is a valuable skill and good starting point.
Python is a versatile and beginner-friendly programming language, it is widely used in various fields such as web development, data science, artificial intelligence, and automation. Python's simple syntax and readability make it easy to learn and use, making it an ideal choice for both beginners and experienced programmers. Additionally, Python has a vast ecosystem of libraries and frameworks that simplify complex tasks and accelerate development. Its popularity and community support also make it a valuable skill to have in the job market.
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Jon’s Answer

It really depends on the track path, but it is extremely useful and powerful since it's used by various engineers such as web development, artifiicial intelligence, data engineering/data science, devops engineers, and System Engineers to name a few. Each of these engineers leverage python for their own use case either for day to day working or creating bridges between various other systems. By exploring courses on platforms like Youtube, Udemy or LinkedIn, you can build an understanding of Python.
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Robert’s Answer

Python is an excellent, versatile language equipped with a vast array of extensions and libraries, capable of tackling diverse programming challenges. It's also quite beginner-friendly. Therefore, while it's not strictly necessary to learn Python, it's a robust starting point and is widely used.

Python can be particularly useful in the field of data analytics. The Anaconda3 Python distribution comes with popular data science, analytics, and visualization libraries. Dynamic coding, data exploration, and graphing are made possible with tools like Jupyter Notebooks and Spyder. Python empowers you to swiftly delve into data and draft data models. However, for tasks demanding high-performance modeling or analysis, you might want to consider a specialized data science language like R.

Python also shines in areas like financial analytics, automated testing, and backend systems automation.

Moreover, there's a wealth of community support and resources available to assist you. Numerous online platforms offer Python instruction. It would be beneficial to sign up for a couple of basic, interactive courses.
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