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Why Learn Python- Top 10 Reasons to Learn Python in 2022

UserGeorgia Taylor time05 August,2022

Python is a general-purpose programming language, which means that, unlike JavaScript, HTML, and CSS, it can be used in applications beyond web development. Though it’s been around for 30 years, it has recently become one of the most popular programming languages, and its popularity continues to grow (Python 2021).

or starters, the language is an excellent place to begin if you’re new to coding. One of the biggest hurdles for aspiring coders is the daunting task of learning a new language that looks nothing like what they’re used to reading and writing. However, Python features English syntax and was designed to be concise and easy to read — all of which make it more accessible to first-time coders than many other languages. 

Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, and machine learning (Python 2021).

Python developer roles are in high demand, as many major companies — including DropBox, Netflix, and Facebook — use it. Google has even made its own Python style guide. Python developer jobs are also comparatively lucrative. According to Indeed*, Python developers earn an average salary of $108,391, which makes it the fourth-most lucrative programming language behind Ruby ($120,174), C++ ($114,000), and JavaScript ($111,623). Python developers also have the opportunity to earn a high salary with less experience, according to StackOverflow (Rogel-Salazar 2018).

When it comes to Python Courses's popularity and growth rate, the numbers don’t lie. According to the PYPL Popularity of Programming Language Courses, Python is the most-searched programming language on the internet — and that doesn’t look like it will be changing any time soon (Rogel-Salazar 2018).

These reasons make learning Python an attractive option.

b) Very short intro about python-

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Mobile Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed (Pajankar 2017).

2. Learn python comparison with other languages

a) Market demand

Python has a huge community that provides and fulfills the requirements of the developers. This makes Python one of the most demanded languages. It is a highly reliable and efficient language. Python developers are also in demand because Python is now a solution in different fields. According to an analysis of job postings by US-based coding Bootcamp CodingNomads, Python programming language retained top spot, beating Java , JavaScript , and C as the most in-demand programming language for 2022 (Saabith, Fareez and Vinothraj 2019).

The highest number of Python programming jobs is for software engineer roles. People with this job title very often specialize in another programming language aside from Python – Java, and Javascript are among the popular options. The second type of role with the most Python coding jobs is data scientist (Saabith, Fareez, and Vinothraj 2019).

b) Duration to learn Python?

Python is one of the most easy-to-learn languages. On average, it can take anywhere from five to 10 weeks to learn the basics of Python programming, including object-oriented programming, basic Python syntax, data types, loops, variables, and functions. In the end, though, how long it takes to learn Python depends on how much experience you have with programming languages, web development, data science courses, and other related fields (Rana 2019). 

In general, it takes around two to six months to learn the fundamentals of Python. But one can learn enough to write the first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years (Rana 2019).

c) Where is python used?

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances (Johansson, Johansson, and John 2019).

Python can be used for:  

1. AI and machine learning 

Because Python is such a stable, flexible, and simple programming language, it’s perfect for various machine learning (ML) and artificial intelligence (AI) projects. In fact, Python is among the favorite languages among data scientists, and there are many Python machine learning and AI libraries and packages available (Nagpal and Gabrani 2019).

2. Data analytics 

Much like AI and machine learning, Business analytics is another rapidly developing field that utilizes Python programming. At a time when we’re creating more data than ever before, there is a need for those who can collect, manipulate and organize the information. 

Python for data science and analytics makes sense. The language is easy-to-learn, flexible, and well-supported, meaning it’s relatively quick and easy to use for analyzing data. When working with large amounts of information, it’s useful for manipulating data and carrying out repetitive tasks (Nelli 2018).

3. Data visualization 

Data visualization is another popular and developing area of interest. Again, it plays into many of the strengths of Python. As well as its flexibility and the fact it’s open-source, Python provides a variety of graphing libraries with all kinds of features. 

4. Programming applications 

One can program all kinds of applications using Python. The general-purpose language can be used to read and create file directories, create GUIs and APIs, and more. Whether it’s blockchain applications, audio and video apps, or machine learning applications, one can build them all with Python (Srinath 2017).

3). Tips to start learning Python

To start learning Python, one must:

1. Code Everyday- Consistency is very important when one is learning a new language. It is recommended to make a commitment to code every day. It may be hard to believe, but muscle memory plays a large part in programming. Committing to coding every day will really help develop that muscle memory. Though it may seem daunting at first, consider starting small with 25 minutes every day and working the way up from there (Den 2017).

2. Writing It Out- As one progresses on their journey as a new programmer, they may wonder if they should be taking notes. They should! In fact, research suggests that taking notes by hand is most beneficial for long-term retention. This will be especially beneficial for those working towards the goal of becoming a full-time developer, as many interviews will involve writing code on a whiteboard (Den 2017).

3. Going interactive-

Whether learning about basic Python data structures (strings, lists, dictionaries, etc.) for the first time or debugging an application, the interactive Python shell is one of your best learning tools (Den 2017).

4. Taking Breaks-

When one is learning, it is important to step away and absorb the concepts. The Pomodoro Technique is widely used and can help: one work for 25 minutes, take a short break and then repeat the process. Taking breaks is critical to having an effective study session, particularly when you are taking in a lot of new information (Den 2017).

Checklist:

  • Code Everyday
  • Write It Out
  • Go Interactive!
  • Take Breaks
  • Become a Bug Bounty Hunter
  • Surround Yourself With Others Who Are Learning
  • Teach
  • Pair Program
  • Ask “GOOD” Questions
  • Make Something
  • Build Something, Anything
  • Contribute to Open Source

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