Python is an object-oriented programming language that is used everywhere from back-end web servers to front-end development and everything in between. Its high-level built-in data structures mixed with data binding make it perfect for use as a scripting language.  

Although Python is a high-level language that helps us to do complex tasks, it is easy for beginners to learn and use. If you are completely new to programming and are wondering how to get started with Python or if you are planning to move towards a lucrative career path of data science or machine learning, then you have reached the right place. In this article, we are going to discuss why you should learn Python and the best ways to learn Python.

About Python 

Python is a high-level general-purpose programming language with a design philosophy focusing on the readability of codes along with syntax. It enables programmers to code concepts in much fewer lines and space compared to other programming languages like C, C++, and Java

The language is very much compatible with programming paradigms. It institutes a dynamic type system and automatic memory management along with having a huge and dedicated standard library. 

Check out the differences between Python and Java. Read our blog – Python Vs Java – Which One is Better to Learn?

How does Python work?

Python is interpreted and has the structure of a classic compiler. It runs directly from the source code and converts the code into an intermediate language. You can compile your source with the help of the compileall module. The best way to see how python works is by running the python interpreter and type the code into it. 

The basic syntax for python is:

Python Syntax

Type the following text at the python prompt and press enter:

Python Syntax

Another example of a python program to calculate the average numbers in a given list:

Python Example

Explanation

  • User must first enter the number of elements which is stored in the variable n
  • The value of i ranges from 0 to the number of elements and is incremented each time after the body of the loop is executed.
  • Then, the element that the user enters is stored in the variable elem.
  • a.append(elem) appends the element to the list.
  • Now the value of i is incremented
  • The new value entered by the user for the next loop iteration is now stored in elem which is appended to the list.
  • The loop runs till the value of i reaches n.
  • sum (a) gives the total sum of all the elements in the list and dividing it by the total number of elements gives the average of elements in the list.
  • Round (avg, 2) rounds the average up to 2 decimal places.
  • The average is printed after rounding.

 

Why You Should Learn Python – Top 9 Reasons

There are numerous reasons why Python is a popular language to learn among programmers, some of the most significant of those are: 

1. Easy to learn –

When compared to other programming languages such as Java, C, C++, etc., Python is much easier to comprehend and implement. In terms of writing, as the same code can be written in fewer lines, it is considered more economical than other languages. 

Java is observed to be more time and effort taking than Python. Furthermore, the biggest advantage of Python is that it can be easily learned even by non-programmers. Python has a shorter learning curve compared to other languages. The simplicity and easiness of Python come from its simple syntax and aspects of adaptability and the fact that it is a free language i.e. its latest version can be downloaded and utilized makes it immensely popular. 

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2. Compatible implementation on Raspberry Pi –

Raspberry Pi is a microcomputer the size of a credit card. It can bring revolution to the globe as it enables the programmers to develop gadgets of their own, for instance, cameras, games, radios, and many other never seen before conceptual gadgets. With these conceptual new gadgets, programmers and manufactures can create waves in the market with all the new ideas. 

Python’s compatibility and implementation with Raspberry Pi make it even more in demand among programmers. A lot of effort is required in coding and despite that usually, programmers do not get the desired or any fascinating output. With the combination of Python & Raspberry Pi, programmers can implement their ideas into real-life through coding.

3. High Salary –

Python programmers have some of the highest salaries in the industry. The average salary of an entry-level Python Developer in India is around Rs.4,30,000. The average salary of an experienced Python developer in India is Rs.10,50,000.

4. Used in Data Science –

Python is the most popular language in Data Science. Data scientists deal with complex problems follow various steps to solve problems, like Data collection, analysis, modeling, and visualization. Python offers many libraries like Keras, Scikit-Learn, matplotlib, and TensorFlow to data scientists to carry out the steps effectively.

5. Used in Artificial Intelligence and Machine Learning –

Python is a popular language for Artificial Intelligence and Machine Learning. It offers various libraries like Keras (for neural network experimentation) for AI. In ML, Python can be used to build algorithms using statistics to allow computers to perform different actions. Python’s simplicity, flexibility, access to great libraries and frameworks, and platform independence, make it the best fit for AI and ML.

6. Used in Web Development –

Python offers many libraries and frameworks such as Django, Flask, web2py, CherryPy, and Pyramid for web development. These frameworks power some of the famous websites like Mozilla, Reddit, Spotify, Yelp, etc. Such big names using Python motivate others also to use the language, eventually creating a good demand for Python developers in the market.

7. Many Libraries and Frameworks –

Python language comprises a big standard library offering inbuilt functionality. This is one of the most significant reasons why a huge number of applications are developed using Python. It also has a built-in testing framework encompassing crucial points like the inclusion of debugging time and quickest workflows.

8. Large Community –

Python has a global community of developers. Anyone facing any coding problems can quickly find the solution by simply posting a question or searching for the answer on the Python community site, which contains a variety of resources. The resources available are endless and one or more of them always keep getting updated.

9. Great implementation for Startups – 

Python being economically better than other programming languages as it utilizes a lesser number of lines for a specific code, can be of immense use to start-ups. It is easy to learn and manage. It can be handled by a small team, which eventually mitigates the cost incurred on coding. Apart from cost savings, a robust and efficient support team makes Python an obvious choice over other languages for start-ups.

Explore Popular Python Course Providers:

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Get started with Python – Top Resources to Learn Python 

1. Online Python Courses 

If you are a self-learner, you can go for python online tutorials and online courses to gain a basic understanding of programming terminologies and kickstart your Python journey. Online Python courses will teach you a variety of topics like basic syntax, command line basics, installing python, running python code, strings, lists, tuples, tuples, sets, functions, scope, built-in functions, object-oriented programming, inheritance, and more.  

Here are some of the best Python courses available online: 

  1. The Python Mega Course: Build 10 Real World Applications on Udemy
  2. Python 3 Programming Specialization on Coursera
  3. Complete Python Bootcamp: Go from zero to hero in Python on Udemy
  4. Learn Python Programming From Scratch on Udemy
  5. Python: Getting Started on Plural sight

2. Python e-books

There is a wide range of e-books available online to learn Python. You can choose from the best options to learn programming, depending on your level – beginners, intermediate, or advanced. You will come across many links and options for e-books, but try to find the latest version and focus on learning something every day. If you already have a good knowledge of programming, then e-books will be a good resource for you. One of the popular ebooks is ‘Learn python the hard way’ by Zed A. Shaw.

Wondering whether you should learn Python and Hadoop or not? Check out the top reasons to Learn Python and Hadoop.

3. Learn from a professional Python developer

You may find the content on e-books to be more technical. It would be the best option for beginners to learn the language from a professional python developer. A professional developer will deliver hands-on experience-based python training and give you guidance on projects you are working on.

4. Learn from top Websites

Apart from online tutorials, online courses, and eBooks, several websites can help you learn Python programming. Some of the top websites to learn Python programming are Python.org, learnpython, datacamp, codeacademy, codingninjas, edx, FutureLearn etc.

5. Podcasts

Podcasts are a great source of information. The best part about them is that you can listen to podcasts anytime and anywhere. They offer a lot of information that you can consume and kickstart your Python programming journey or even improve as a developer. Talk Python is one such website that can help you get started with Python programming. 

Interviewing for the profile of Python developer, data analyst (with Python), full-stack developer, or backend web developer. Check out the Top Python Interview Questions and Answers here. 

Conclusion

Whether you are learning for a new job or starting something of your own, Python will push you to great heights. Summing things up, we can consider Python as an overall solution package for developers and the future remains brightest for the language in terms of growth and utilization. The adaptability and ease of learning and implementation make Python a must-learn for programmers. The demand and dependency of giant IT firms on Python make it a long-run player. The endless aspects offered by it provide Python a substantial advantage over other coding languages.

 

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