Python Programming Language

Python has become one of the most popular programming languages in the world in recent years. It’s used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike.

Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data sciencesoftware and web developmentautomation, and generally getting stuff done.

Let’s take a closer look at what Python is, what it can do, and how you can start learning it.

What is Python?

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. A survey conducted by industry analyst firm RedMonk found that it was the most popular programming language among developers in 2022

Did you know? The name Python comes from Monty Python. When Guido van Rossum was creating Python, he was also reading the scripts from BBC’s Monty Python’s Flying Circus. He thought the name Python was appropriately short and slightly mysterious.

Python is popular for a number of reasons. Here’s a deeper look at what makes it so versatile and easy to use for coders.

  • It has a simple syntax that mimics natural language, so it’s easier to read and understand. This makes it quicker to build projects, and faster to improve on them.
  • It’s versatile. Python can be used for many different tasks, from web development to machine learning.
  • It’s beginner friendly, making it popular for entry-level coders.
  • It’s open source, which means it’s free to use and distribute, even for commercial purposes.
  • Python’s archive of modules and libraries—bundles of code that third-party users have created to expand Python’s capabilities—is vast and growing.
  • Python has a large and active community that contributes to Python’s pool of modules and libraries, and acts as a helpful resource for other programmers. The vast support community means that if coders run into a stumbling block, finding a solution is relatively easy; somebody is bound to have run into the same problem before

Advantages of Python 

1. It’s Free

 It’s completely free and can be used with no copyright issues it can also be distributed although it’s free; Python has had a very active community for more than 25 years and is constantly being improved to keep it up to date keep up with the times.

2. It is a Multi-paradigm

 Python is a multi-paradigm language that supports both procedural programming (using functions) and object-oriented programming (including functions such as single and multiple inheritance, operator overloading, and duck typing) elements of functional programming (as integrators and generators). 

3. It is Portable 

Python developed by ANSI C as a portable language.It can be used on various platforms such as: UNIX, Linux, Windows, DOS, Macintosh, Real Time Systems, OS / 2, Android and ions mobile phones.This is possible because it is an interpreted language, so the same code can be executed on any platform as long as the Python interpreter is installed. 

4. Easy to Use

 Python is a simple but powerful language. The syntax and the various modules and functions already included in the language are consistent, intuitive and easy to learn, and the language design is based on the principle of least surprise (the program is what is expected). 

5. It’s full of libraries

 Every Python installation includes the standard library, which is a collection of more than 200 modules used to perform a wide variety of tasks, such as: For interaction with the operating system and the file. System or the management of various protocols. Package Index allows you to download and install thousands of additional modules that are created and maintained by the community. 

6. Works 

Although Python is considered an interpreted language, programs are automatically compiled into a format called bytecode before they are executed. This format is clean and efficient and therefore ensures high performance. In addition, various data structures, functions and modules are made within C to achieve the highest possible performance.

7. Automatic memory management

As mentioned earlier, Python is a simple high-level programming language. Uses a garbage collection mechanism to allocate and free memory so that the programmer can freely use variables without having to worry about their manual declaration and assignment and freeing up memory locations (which is required in lower languages ​​like C or C ++). 


To integrate Python and Java, you can use Python. There are other interpreters such as PyPy, a high-performance implementation written in Python.

9. Interpreted Language

Python is an interpreted language which means that Python directly executes the code line by line. In case of any error, it stops further execution and reports back the error which has occurred.

Python shows only one error even if the program has multiple errors. This makes debugging easier.

10. Dynamically Typed

Python doesn’t know the type of variable until we run the code. It automatically assigns the data type during execution. The programmer doesn’t need to worry about declaring variables and their data types.

11. Free and Open-Source

Python comes under the OSI approved open-source license. This makes it free to use and distribute. You can download the source code, modify it and even distribute your version of Python. This is useful for organizations that want to modify some specific behavior and use their version for development.

12. Vast Libraries Support

The standard library of Python is huge, you can find almost all the functions needed for your task. So, you don’t have to depend on external libraries.

But even if you do, a Python package manager (pip) makes things easier to import other great packages from the Python package index (PyPi). It consists of over 200,000 packages.

13. Portability

In many languages like C/C++, you need to change your code to run the program on different platforms. That is not the same with Python. You only write once and run it anywhere.

Disadvantages of Python

1. Slow Speed

We discussed above that Python is an interpreted language and dynamically-typed language. The line by line execution of code often leads to slow execution.

The dynamic nature of Python is also responsible for the slow speed of Python because it has to do the extra work while executing code. So, Python is not used for purposes where speed is an important aspect of the project.

2. Not Memory Efficient

To provide simplicity to the developer, Python has to do a little tradeoff. The Python programming language uses a large amount of memory. This can be a disadvantage while building applications when we prefer memory optimization.

3. Weak in Mobile Computing

Python is generally used in server-side programming. We don’t get to see Python on the client-side or mobile applications because of the following reasons. Python is not memory efficient and it has slow processing power as compared to other languages.

4. Database Access

Programming in Python is easy and stress-free. But when we are interacting with the database, it lacks behind.

The Python’s database access layer is primitive and underdeveloped in comparison to the popular technologies like JDBC and ODBC.

Huge enterprises need smooth interaction of complex legacy data and Python is thus rarely used in enterprises.

5. Runtime Errors

As we know Python is a dynamically typed language so the data type of a variable can change anytime. A variable containing integer number may hold a string in the future, which can lead to Runtime Errors.

Therefore Python programmers need to perform thorough testing of the applications.

Why learn Python? 

So, we know why Python is so popular at the moment, but why should you learn how to use it? Aside from the ease of use and versatility mentioned above, there are several good reasons to learn Python: 

  • Python developers are in demand. Across a wide range of fields, there is a demand for those with Python skills. If you’re looking to start or change your career, it could be a vital skill to help you. 
  • It could lead to a well-paid career. Data suggests that the median annual salary for those with Python skills is around £65,000 in the UK. 
  • There will be many job opportunities. Given that Python can be used in many emerging technologies, such as AI, machine learning, and data analytics, it’s likely that it’s a future-proof skill. Learning Python now could benefit you across your career. 

How long does it take to learn Python?

As we’ve mentioned already, Python is a relatively straightforward programming language compared to many others. As such, it’s possible to learn the basics over just a few weeks. Many of our short courses, such as Getting Started with Python, take 6-8 weeks to complete, with only a few hours of learning required each week. 

What is Python used for?

Clearly, Python is a popular and in-demand skill to learn. But what is python programming used for? We’ve already briefly touched on some of the areas it can be applied to, and we’ve expanded on these and more Python examples below. 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 favourite languages among data scientists, and there are many Python machine learning and AI libraries and packages available. 

2. Data analytics 

Much like AI and machine learning, data analytics is another rapidly developing field that utilises 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 organise 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 analysing data. When working with large amounts of information, it’s useful for manipulating data and carrying out repetitive tasks. 

You can learn about data analytics using Python with our ExpertTrack, which will help you develop practical data analytics skills. 

3. Data visualisation 

Data visualisation 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. 

Whether you’re looking to create a simple graphical representation or a more interactive plot, you can find a library to match your needs. Examples include Pandas Visualization and Plotly. The possibilities are vast, allowing you to transform data into meaningful insights. 

4. Programming applications 

You 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, you can build them all with Python. 

5. Web development 

Python is a great choice for web development. This is largely due to the fact that there are many Python web development frameworks to choose from, such as Django, Pyramid, and Flask. These frameworks have been used to create sites and services such as Spotify, Reddit and Mozilla. 

Thanks to the extensive libraries and modules that come with Python frameworks, functions such as database access, content management, and data authorisation are all possible and easily accessible. Given its versatility, it’s hardly surprising that Python is so widely used in web development. 

6. Game development 

Although far from an industry-standard in game development, Python does have its uses in the industry. It’s possible to create simple games using the programming language, which means it can be a useful tool for quickly developing a prototype. Similarly, certain functions (such as dialogue tree creation) are possible in Python. 

Read : Game Development Roadmap – [Beginners – Advance]

7. Language development

The simple and elegant design of Python and its syntax means that it has inspired the creation of new programming languages. Languages such as Cobra, CoffeeScript, and Go all use a similar syntax to Python. 

This fact also means that Python is a useful gateway language. So, if you’re totally new to programming, understanding Python can help you branch out into other areas more easily. 

8. Finance 

Python is increasingly being utilised in the world of finance, often in areas such as quantitative and qualitative analysis. It can be a valuable tool in determining asset price trends and predictions, as well as in automating workflows across different data sources.

As mentioned already, Python is an ideal tool for working with big data sets, and there are many libraries available to help with compiling and processing information. As such, it’s one of the preferred languages in the finance industry. 

Python Developer Salary

The average salary for a python developer is $111,610 per year in the United States and $5,000 cash bonus per year.1k salaries reported, updated at January 24, 2022.

Frequently Asked Question

  • Should I learn Python 2 or Python 3?

Python 3 is considered more up-to-date and has overtaken Python 2 in popularity. JetBrains, a software development company, found that 93 percent of surveyed Python users worked with Python 3. Python 2 was sunsetted in January 2020, which means it will no longer be updated with bug fixes, security patches, or new features.

  • Who uses Python today?

Of the hundreds of programming languages out there, Python remains a popular choice among numerous companies and organizations. Some familiar names that use Python include Google, Facebook, Venmo, Spotify, Netflix, and Dropbox. 

  • What types of jobs use Python?

Since python is a general-purpose language, it’s used across a variety of fields and industries. These are just a few job titles that may use Python:

  • Developer
  • Data analyst
  • Data scientist
  • Ethical hacker/penetration tester
  • Software engineer
  • Data journalist
  • Cloud architect
  • QA engineer

Read: What type of Job you can get as a Python Developer

  • What can I do with Python?

Python can be used for a wide variety of both small and large-scale applications. You can use Python to program something simple like a clock display on a Raspberry Pi or something more complicated like a web app. Python can even be useful for calculating statistics or machine learning.

  • Is Python object-oriented?

Yes—Python is an object-oriented programming language.

  • How do I check my Python version?

The method for checking your Python version varies between operating systems.


MacOS users can verify their Python version with the terminal application using the following command.

python --version


Windows users can check their Python version through Powershell using this command.

python --version


If you’re using Linux, you can use this command in a Terminal window.

python --version
A note on other Python installations

The above commands will check your system Python version. If you have installed another version of Python—Python 3, for instance—you would check the version like this:

python3 --version
  • How do I code in Python?

To code in Python, you’ll need a text editor—preferably one designed for coding in Python. Python scripts can be saved as .py files. Run the .py file to run the script.

Happy Coding… ☺️

About us: Codelivly is a platform designed to help newbie developer to find the proper guide and connect to training from basics to advance


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