Suppose you read programming and technology news or a blog post. In that case, you may have noticed the emergence of Python. Many communities of popular developers, including StackOverflow and CodeAcademy, have mentioned the emergence of Python as one of the main programming languages. But the bigger question is: why learn Python? Python is growing, it’s fantastic, but that doesn’t mean Java is inactive or inactive. It’s simple to start with Python because it’s easy to learn and powerful enough to create a web app and automate boring things.
Why should programmers learn?
If you’re going to learn Python, but aren’t sure why you should, here are ten reasons that highlight the benefits of learning Python in 2020. For a beginner, learning Python makes sense because it is easy. For an experienced programmer who wants to join data science and machine learning, learning Python makes sense as it is rapidly becoming the most used programming language and powerful.
- Data science
This is the most significant and only reason many programmers learn Python. I know many of my friends who are bored with their Java programming jobs in investment banks and learn Python at 3RI Technologies to make a career in data science due to exciting work and high wages. But what makes Python a preferred language for data science and machine learning? Wasn’t R considered the best for this not long ago?m Well, I think the libraries and structures offered by Pythons, such as PyBrain, NumPy, and PyMySQL, are one of the main reasons. The Python experience allows you to do much more than R. For example. You can create scripts to automate things, start web development, etc. If you want to become a data scientist in 2020 and looking for directions, I suggest you take a look at the course of Data Science, Deep Learning, and Machine Learning with Python at 3RI Technologies.
- Machine learning
The growth of machine learning over the past two years has been phenomenal and is rapidly changing around us. Algorithms are becoming more sophisticated every day. The best example is Google’s search algorithms, which can now do what you expect. There are chatbots to answer your questions, and the algorithm entirely drives uber. If you are interested in machine learning and want a family project or want to play with it, Python is the only programming language that makes it easy. While there are machine learning libraries in Java, you will find more content in Python as the developer community currently prefers Python over anything related to data science.
- Web development
Good old development is another reason to learn Python. It offers many useful libraries and frameworks, such as Django and Flask, which facilitate web development. An activity that takes hours in PHP can be done in minutes with Python. Python is also widely used for web demolition.
This is the main reason why beginners learn Python. When you start with programming and coding, you don’t want to start with a programming language with complicated syntax and strange rules. It is also easy to set up; you don’t have to deal with classpath issues like Java, or compiler issues like C. During the installation, you will also be asked to add Python to PATH, which means you can run Python from anywhere on your computer.
- Huge community
It would help if you had a community to learn new technologies, and friends are your biggest asset when learning a programming language. Organizations like StackOverflow also bring together many Python experts to help newbies.
- Libraries and facilities
One of the similarities between Python and Java is many open-source libraries, frameworks, and modules available to do what you want. Imagine building a web application without Spring in Java or Django and Flask in Python. Simplify your work so you can focus on business logic.
When I discovered Python, it was due to one of my scripting needs. I was working with an app that received messages on UDP, and there was a problem: we didn’t see any notes in the log. I wanted to check if we are getting UDP traffic on this box and port, but I have not found a useful Unix command to do it. A friend of mine sitting next to me was learning Python and wrote a utility in just 5 minutes to intercept UDP messages using a Python module.
One of the things I love most about Python is its Swiss Army Knife nature. It is not tied to a single discipline since R is only for data science and machine learning. Data analysis can be performed using NumPy, SciPy, Scikit-Learn, and NLTK. At a minimum, you can use Python to write scripts to automate many of your daily activities.
- Employment and growth
Python proliferates, and it makes a lot of sense to learn a growing programming language if you have just started your programming career. Not only does it help you find a job quickly, but it also accelerates your career growth. In my opinion, for beginners, after simplicity, this should be the most important reason for learning Python.
Python developers are among the highest-paid developers, primarily in data science, machine learning, and web development. Average salaries from $ 70,000 to $ 150,000 depending on experience, location, and area of expertise.
Advantages of learning Python
It is an extraordinarily comfortable language to learn and can be used as a springboard to other programming languages and structures. Python is widely used, including by several large companies such as Google, Pinterest, Instagram, Disney, Yahoo! The Raspberry Pi – which is a mini-computer and a DIY enthusiast’s dream – has Python as its primary programming language. You are probably wondering why one of these things is essential, and this is because after learning Python, you never have many ways to use the skill. Not to mention that many large companies depend on the language, you can make a lot of money as a Python developer. Python can be used to develop prototypes and quickly because it is straightforward to work and read. Most automation, data mining, and big data platforms depend on Python. This is because it is the perfect language for working with general tasks. Python allows a more productive coding environment than bulky languages like C # and Java. Experienced programmers also tend to stay more organized and productive when working with Python. Python is easy to read, even if you are not an expert programmer. Anyone can start working with the language, just a little patience and a lot of practice.
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