In the world of computer programming, we have two popular languages to discuss: Go (or Golang) and Python. Even though these languages are diverse and extensively used, they are significantly different from one another.
Go is a bit like a lightweight tool designed for specific tasks like building microservices and APIs. Think of it as a specialized tool that’s really good at certain jobs.
However, Python is like a versatile Swiss Army knife. It is used for many different tasks, from making websites and web apps to mobile app development. In this context, programming can be compared to the “jack of all trades”. Python has been around for a long time, while Go is relatively new, but it’s gaining popularity quickly.
In this article, we’ll explore these two languages, what they’re good at, and when you might want to choose one over the other. It’s like comparing a specialized tool to a versatile one, and we’ll help you decide which one fits your project best.
In this post, we are going to look in-depth at Python, Golang and when you should be using one over the other. Besides, we will look at differences, similarities, features and use cases of Python and GO, the world’s two most popular programming languages. And, we are going to do the Python vs GO comparison, at the end of this tutorial, you will get the full picture on which programming language among Python or Golang should you choose for your next software development project.
Languages such as C and JavaScript both have their pros and cons, but depending on your ultimate desires, you will get the answer for Python vs Golang without any doubt. Both Golang and Python are considered to be easy-to-learn languages, though it might take a while for them to get the hang of it. Golang and Python both have a number of attractive features that can work in a variety of ways, however, there are fewer features that can differ greatly.
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Overview Of Python:
Python is a versatile, user-friendly programming language that has become widely popular in the software development field. It is well known for having a syntax that is easy to learn, making it a good option for both novice and experienced programmers. Python is an interpreter’s language therefore it can be utilized immediately without the need for compilation. This feature contributes to its ease of use and rapid development capabilities.
Python is used in many areas, like analysing data, creating websites, automating tasks, doing scientific calculations, and building machine learning systems. It is recognized for its large standard library, which offers pre-built functions and modules to make typical programming jobs easier. Python’s community support is vibrant, with a plethora of third-party packages and libraries available through the Python Package Index (PyPI).
The language’s object-oriented nature promotes code reusability, and its simplicity has made it a preferred choice for educational settings. Python is often recommended for teaching programming concepts and as a stepping stone to more complex languages.
Overview of Golang (Go):
Golang, or Go for short, is a programming language made by Google. Its simplicity, effectiveness, and emphasis on concurrent and systems programming define it. Go is a compiled language, meaning it transforms the source code into machine code before running it, which makes it faster.
Go takes a procedural approach, emphasizing functions and their interactions. In addition to this, it can be used to create high-performance applications, especially ones that need for multiple processes to run simultaneously. Go’s syntax is intended to be clear-cut and simple, making it simple to understand and use.
The language has gained significant traction in areas such as cloud computing, microservices, and networking. It performs well in situations when efficiency and agility are necessary. Go’s standard library is well-regarded for its capabilities, particularly in terms of network and web development.
Each language, Python and Go, has advantages over the other; which one to use will depend on the particular needs of the project. Python is frequently chosen for its readability and adaptability, while Go is chosen because of its efficiency and speed, particularly in applications with a lot of concurrency. When deciding between the two, it is essential to consider your project’s goals and constraints to make the most informed choice.
GO vs Python Performance
When it comes to choosing a programming language to develop Artificial Intelligence, there is fierce competition between Python and GO. We chose GO over Python as the two programming languages are frequently compared amongst business communities because not only are they great at building web applications, they help automate tasks related to the business. To avoid apples-to-oranges comparison, we have to look at Golang vs Python concurrency from the perspective of different types of applications for which they are the most suitable.
When talking about Python vs Golang from the perspective of their scale, both of them are usable across a wide range of domains. Python and Golang (GO programming) languages have various purposes; at one end, Python is a main language among Data Scientists, on the other side, Golang is the command-line server-side language. GO language comes with built-in concurrency, making it capable of handling multiple tasks simultaneously. Golang is a definite “yes” when it comes to developing the backend, because Golang is capable of handling large numbers of requests, and with a great deal of parallelism.
GO has built-in concurrency management, meaning that it is capable of processing several requests simultaneously. Besides, Golang built-in concurrency support also helps GO complete computations quicker than Python. Therefore, Golang does not just beat Python, but also beats Java, which is considered a faster language than Python.
Since Python is a scripting language, Python has to interpret, whereas Golang is faster in most cases, since it does not need to rely on anything during execution. While Python is not too slow for developing websites, it is a rich-featured language, but Golang comes out faster than Python. Golang is a language which comes closer to C/C++ speed, meanwhile, Golang is super-easy to use, plus, you get to skip the manual memory management.
While Python would be the better choice for web development and machine learning, GO would definitely do a lot better job at lower-level programming. Python is considered to be better when it comes to solving data science problems, whereas Golang is better for systems programming.
After all, when it comes to the wealth of frameworks and library ecosystems available to both Golang and Python, the latter wins hands down. Python does a good job at the core development tasks, but when it comes to developing applications or software on larger scales, Golang wins the best-performer title, and so we witnessed more and more clients planning to hire Golang developers instead of Python.
By comparing the two languages Python to GO or Golang, we can verify different usages and benefits that are intrinsic to each. When it comes to the performance, both languages are Good, but Golang is slightly faster compared to Python — similar to languages such as Java, C++. Learn at 3RI Technologies.
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Differences between GO and Python
| GO | Python |
| GO is perfect for systems programming that is nearly as fast as Java and C++, but takes a little longer to compile things compared to Python. | Python is a popular language used to solve data science problems |
| GO is the language of backend commands | Python is a main language for data scientists, people working at universities or research & development, who are coming from more of an academic background |
| Technically, GO is a procedural, functional language built for speed. | Python is an object-oriented, imperative, functional, and procedural language |
| GO is hard to learn, yet easy to master. | Python is relatively easier to learn, yet hard to master. |
| With GO, you can do the same tasks quickly, without getting lost in the subtleties of the programming languages. | Python is good for basic programming; using it becomes complex if you want to create complex systems, |
| GO is significantly faster than Python, mostly because GO is a compiled rather than interpreted language. GO is also a compiled language, which means that it is going to be faster than an interpreted language such as Python. | Python is interpreted language. |
What Is Golang?
Golang is a simple programming language for web development because it has robust, easy-to-use libraries that enable developers to configure a web server within a short period.
Golang is used for systems and network programming, Big Data, Machine Learning, Audio & Video Editing, and much more. While still a relatively young programming language, GO has gained traction with the likes of Google, Netflix, Uber, and others, which have used GO to scale their products and reach the performance of the big, true-world corporate behemoths such as Google.
What Is Python?
Python is a high-level, easy-to-learn programming language used for everything from web applications to machine learning AI. Python is an Object-Oriented, Imperative, Functional, and Procedural Language — all of the things you need in order to quickly translate ideas to code, then share them with others. It was developed mostly with an emphasis on the readability of the code, and its syntax allows programmers to express concepts in fewer lines of code.
Python is a general-purpose programming language, which is just another way of saying that Python can pretty much be used for everything. Of all programming languages, you will likely not find one that is used more often by non-programmers than Python. As a relatively simple to use language, Python can be learned either through going through Python tutorials and courses, or starting out with a number of Python projects.
Python is an excellent object-oriented language, but it is possible to write programs in the functional style as well. Python is an amazing language for rapid prototyping; we can get our ideas down quickly, in a format that is nearly similar to English, and the resulting programs are likely to work, sort of.
Python programming languages are used in Machine Learning applications, Data Science, Web Development, along with all the current technologies of the software industry.
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Why use Golang?
Golang is a statically typed language, has various features that are forming a basis for the current languages. Golang has gained the popularity in IT sector because it offers the user-friendly libraries and is powerful language. In other words, highly-scalable web services, combinations of Micro services, heavily-loaded admin systems, and different applications for batch background processing form an area in which the Golang programming language is certainly worthy to use.
Even if it is possible to build user interfaces using Golang, Besides, Golang programming languages business context suggests using GO where it could provide its greatest benefits. That is why GO was designed to be a simple-to-learn language which could be rapidly picked up by a large group of developers (often less-skilled ones) in order to be able to jointly develop a few applications.
Developers will want to write code in GO when they want a programming language that is best suited to Web Development, Front-End Development, Command-Line Scripting, And Networking Server applications.
The GO programming language is poised to capture a lot of projects, open-source and proprietary, and becoming more and more useful as the standard language both for Microservices and for the web. Its future as a mainstream programming language is already assured, especially in the cloud, where GOs speed and simplicity make it easier to develop scalable infrastructures that can be maintained over the long term. Golang is the future of web programming, because GO allows you to perform all of the functions other languages perform individually.
Anyone can contribute to it and configure GO to suit their individual needs; however, its natural habitat for GO is in server-side programming, backend, and coordinating complex network and web development, particularly in building distributed web applications.
Golang even has a vibrant open-source community developing modules and libraries, helping beginners, and contributing to the GO project itself. Amazon Web Services, Microsoft Azure, and Google Cloud Platform (GCP) give first-class support to one of these languages as the primary language.
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Why use Python?
Python has been used extensively in data analytics, AI, deep learning, and web development. Besides, it can be used for anything from cleaning files on your computer, web applications, server less projects, teaching kids coding, working on animations, and much more.
Python has been used extensively in Data Analytics, AI, deep learning, and web development. Python, an advanced Object-Oriented Programming Language, is being used in the applications of Machine Learning, web development, Data Science, and is on par with all modern software technologies.
Python is an interpreted, object-oriented language used for general-purpose applications like web applications backend and mobile app development.
Python data abstraction and object-oriented programming approaches are remarkably flexible, making it well-suited to large, distributed infrastructures like network servers. It promotes fast application development through integration of dynamic bindings and types with built-in data structures. Python provides very large and rich standard libraries, so to use a function in your program, you should not rely on any external libraries.
Features of Python
Oldest & Extensive Community
Python is one of the oldest programming languages, and has extensive community support as compared to other languages.
Easy to learn
Python provides a unique blend of elegance and simplicity that makes Python an easy language to learn and one of the community’s favourite first languages. Python is really simple to learn compared to other languages such as C, C#, JavaScript, Java, etc. Besides, Python is really simple to write codes and anyone can learn the basics of python within hours or days.
Portable Language
Python is a portable language, which is why it can be used in a large number of different Operating Systems (OS’s) and platforms.
Highly flexible
Python is known as being a highly flexible, easy language. Besides, it has so many use cases (and so much adoption), it is considered to be one of the most sought after languages in the job market.
High-level- interpreted
Python is a high-level language, which does not require its users to memorize system architectures or do memory management. Python code does not need code compilation. As, Python refers specifically to the Python programming language and Python interpreter software, which reads the source code and executes the Python instructions.
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Features of GO
Simplicity
The simplicity of Golang makes it extremely easy to learn, regardless of how much experience someone has with web development. GO or Golang is designed for coding ease, and writing code in an efficient, statically-typed, compile-time language.
Supports Concurrency
As Golang supports concurrency, developers mostly use Golang for systems programming. The only features added to this language are the ones which would make it a lot easier to use, and increase its readability and maintainability.
Great Standard Library
GO languages provide support for a number of libraries and tools, therefore, GO does not require any third-party libraries. Golang has a great standard library, which makes it possible to build applications directly in-house, without using frameworks as in most programming languages.
Robustness and Fast app development
Golang is rapidly changing the landscape for programming at its best, and switching to Golang can have an extremely large impact on your applications development and maintenance time and costs. Highly fast paced and smooth in usage, Golang, aka the GO Programming Language, is becoming a high-performance star in the development of software. The reasons for using Golang because it is becoming most adaptable language are because of its simplicity, robustness, and fast app development lifecycle.
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GO vs Python
GO and Python both have a number of attractive features that can be used in a variety of ways, but there are very few features that can be drastically different. Although GO and Python are fairly similar languages, they differ substantially in functional features. Both Golang and Python are easy and clean in terms of syntax, and they reduce programmers’ workload up to a great extent.
Great readability is not the only benefit that we gain from Python; there are many more benefits Python offers to us. Python prefers simple, easy-to-read code, and uses simplicity to appeal to people who are reluctant to learn complex programming languages. As a relatively simple language, Python can be learned either through completing Python tutorials and courses, or starting out with a number of Python projects.
Python being a scripting language, has to be interpreted, whereas Golang is faster most of the time since Golang does not have to consider anything at runtime. Translation makes GO programs, overall, a lot faster than the equivalent programs in Python, which is an interpreted language, meaning that Python is not executed directly on the CPU. Comparing GO to Python, the latter is dynamically typed, meaning it checks errors at runtime. Basically, I want to say that because Python is a dynamically-typed language, Python somewhat limits a programmer when they are intent on building a truly large program, while Golang is capable of handling these two types of programs with niftiness.
Golang increases the code readability due to its simplicity Developers can learn and adapt easily in Golang and become productive fast. Besides, GO is more focused on being a systems language; however, it is eating into the Pythons’ share of web applications. Python, meanwhile, is the winner for me as far as what is the best language for complete coding beginners.
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Key differences between Python and Go (Golang):
| Aspect | Python | Go (Golang) |
| Type System | Dynamically typed (type inferred at runtime) | Statically typed (type defined at compile time) |
| Concurrent Programming | Concurrency support using threads (GIL) | Inherent support for concurrency with goroutines and channels |
| Performance | Generally slower due to interpretation | Generally faster due to compilation |
| Readability | Known for clean, readable syntax | Features a simple, minimalistic syntax |
| Error Handling | Uses exceptions for error handling | Emphasizes multiple return values for errors |
| Community Support | Large and active community | Smaller, but growing, community |
| Learning Curve | Beginner-friendly and easy to learn | Quick to learn due to simplicity |
| Use Cases | Versatile, suited for various applications | Ideal for performance-critical and concurrent systems |
Please note that the suitability of Python or Go depends on the specific needs of your project and your preferences. Each language has its advantages, and the choice should align with your development goals and the type of applications you plan to build.
Advantages and Disanvatages of Python and Go (Golang):
Advantages of Go:
1.Efficiency: Go is well-known for being speedy and effective, making it a top choice for systems that must handle multiple tasks simultaneously and demanding tasks.
2. Built-in Concurrency: Go comes with built-in tools to manage many tasks concurrently using goroutines and channels, making it a best choice for building programs that need to handle multiple tasks happening at the same time.
3.Simplicity: Go features a simple, minimalistic syntax that leads to clean and maintainable code.
4. Memory Management: Go allows for manual memory management, eliminating the need for garbage collection.
Disadvantages of GO
Despite having many advantages over most of the programming languages for web development, Golang has a few downsides we should discuss.
1.Relatively young language , still being developed
Developers may find it difficult to properly utilise the libraries because it is such a young language. They could have to write the libraries themselves if they are in doubt, and there aren’t many books or online resources to help them.
2. It is too basic
The language’s simplicity might be a problem since it makes it appear shallow. In the process of simplifying it, the language squandered several years of programming language advancement
3. No provision for manual memory management
Because a lack of manual memory management can result in overhead trash collection, delays, and system programming, it is essential.
4. Runtime security isn’t great
Go is safe and only addresses compile-time and, to an extent, run-time safety is not addressed because it focuses on production speed.
5. Smaller Ecosystem: Go’s ecosystem is smaller compared to languages like Python, which might require more development from scratch.
6. Community Size: While growing, Go’s community is still smaller compared to established languages like Python.
7. Error handling isn’t perfect
Golang errors handling isn’t perfect, its shortcomings might cost you a lot. Therefore, by error-handling recommendations by the Golang community, and solutions are to be actively being explored. Go emphasizes multiple return values for error handling, which can be less conventional compared to exceptions
There is a limitation in the effectiveness of GO, since there are areas of development that Golang wasn’t designed for, and languages such as Python are better options.
Advantages of Python :
1.Versatility: Python’s versatility makes it suitable for a multitude of tasks, such as scientific computing, web development, data analysis, and machine learning.
2. Readability: Python’s simple, accessible syntax improves code maintainability and makes it suitable for beginners.
3. Large Libraries: Python makes development easier with a large standard library and an array of third-party packages.
4. Active Community: Python enjoys an extensive and active community, leading to a wealth of resources, libraries, and documentation.
5. Dynamic Typing: Python’s dynamic typing feature makes programming more adaptable and fast development.
Disadvantages of Python
1. Speed Constraints
Python code is executed line by line, and it is often slow code execution due to the fact that it is interpreted. Besides, Python language limits a developer when developing large-scale programs. Programmers might encounter certain difficulties because Python is dynamically typed language, which limits the programmer when building a large program. Basically, I want to say that because Python is a dynamically typed language, Python somewhat limits the programmer when they are planning to build a very large program. Even if Python is a compile-and-interpret language, Python does not provide a lot of productivity when compared with Golang.
2. Not Memory-Friendly
Python has to strike the right balance in order to provide developers with the benefit of simplicity. As Python is a memory-intensive programming language. This might be a disadvantage for developers who want their products to be memory efficient.
3. Lacking in terms of Mobile App Development
Python is a fantastic server-side programming language, but it’s rarely used for client-side development. Apart from that, it is rarely utilised in the development of mobile apps.
4. Lacks in Database Access
Python is a simple and easy programming language. However, when the developer attempts to connect to the database, it fails. Python’s database access layer is basic and immature when compared to mainstream alternatives like JDBC and ODBC. Therefore, Python is rarely used in businesses since it requires the seamless integration of complex legacy data.
5. Design Restrictions
Python is dynamically typed, thus you don’t need to define variable types while writing code. While this makes writing easier for programmers, it also increases the chances of run-time errors.
6. GIL Limitation: Python’s Global Interpreter Lock (GIL) limits concurrent execution and may interfere with multi-threaded performance.
7. Slower Execution: In some scenarios, Python’s interpreted nature may lead to slower execution compared to compiled languages.
The choice between Python and Go should be based on your project’s specific requirements, your career goals, and your preferences. Python is versatile and widely used, while Go excels in high-performance and concurrent applications.
Go vs Python – Which is Better?
When it comes to choosing between Go (Golang) and Python, the “better” option depends
on your project’s specific requirements and your career goals. Let’s examine the important factors for each language in detail:
Python:
. Python is famous for being user-friendly, easy to read, and adaptable. It is a best choice for things like machine learning, data analysis, creating websites, and many other tasks.
. Python is suitable for various tasks because it has a large collection of libraries and tools that can be easily used.
. Its dynamic typing and clean syntax are beginner-friendly and enhance code maintainability.
. Python is widely used and has a strong presence in various domains, offering a plethora of career opportunities.
Go (Golang):
. Go has become known for its effectiveness, speed, and integrated concurrency support. It excels in high-performance and concurrent applications.
. It has a growing ecosystem, particularly in areas like cloud computing, microservices, and networking.
. Go’s simplicity and strong static typing make it an attractive choice for developers who prioritize clean and maintainable code.
. While it may not have as extensive an ecosystem as Python, Go is gaining popularity, and skilled Go developers are in demand.
In the long run, choosing between Go and Python should be based on your professional goals and the kinds of projects you want to contribute on. If you seek versatility and opportunities in various domains, Python is an excellent choice. On the other hand, if you’re interested in performance-critical applications and concurrent programming, Go could be the better fit.
Go Language vs Python: Careers
Both Go and Python offer promising career prospects, but they cater to different niches in the programming world.
Python Careers:
. Python is used in many domains, including Scientific Computing, Web Development, Data Analysis, Machine Learning, and Automation.
. Python may lead to work in a variety of industries due to the language’s versatility and the growing need for programmers.
. Python is useful in many domains, including Machine Learning Engineering, Data Science, and Web Development.
. With Python’s extensive library collection, you can pick a specific area that matches your interests and become an expert in it.
Go (Golang) Careers:
. Go is gaining traction in performance-critical applications, such as microservices, cloud computing, and networking.
. Skilled Go developers are sought after for their ability to create efficient and concurrent applications.
. Go careers can lead to roles in cloud infrastructure, DevOps, backend development, and distributed systems.
. The language’s simplicity and performance capabilities make it a valuable skill set for specialized roles.
. Python offers a broader spectrum of career opportunities due to its wide range of applications. Go, on the other hand, is ideal if you are interested in careers related to high-performance and concurrent applications. The choice you make should be in line with your desired area of specialization and professional objectives.
My Thoughts
Now, you know all the major differences between GO and Python; it will be really useful for you when you are going to pick the language among the two languages.
GO vs Python is very important, mostly because some students are confusing the differences between the two languages. Both GO and Python are easy and understandable in terms of syntax, and they reduce coding burden by a significant amount. Python is a scripting language that needs to be interpreted, while GO is faster in most cases as it does not need to think about anything during execution.
Python is good for core programming; using Python becomes complex when a person wants to build complex systems, while using GO, one can do the same task quickly, not getting bogged down in complexities of the programming languages. Python is extremely useful for developing complex programs; Python provides a lot of features that allow developers a free hand as they begin developing larger, more complicated programs. As a relatively simple to use language, Python can be learned either through a python tutorials and courses, or starting out with a set of Python projects. Python has been used in AI, Data Analysis, Deep Learning, and Web Development.
Machine learning, for example, is an option in both, but it is difficult to beat Pythons complex Python frameworks. To that end, both Python and GO are general-purpose programming languages, meaning that you can use either language for a variety of different development areas.
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You could make the safe assumption that every language as widespread as GO or Python is, on average, just as good as every other –but maybe in different things. One of these languages is a simpler language, which may be learned faster, but some people have found it harder to start with compared to Python, which takes longer to master because it has a lot more to learn.
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Conclusion
In conclusion, your professional objectives and the particular requirements of your project should determine which of Python and Go (Golang) to use. Python’s versatility and readability make it suitable for a wide range of applications, while Golang (Go) excels in performance-critical and concurrent systems. Your choice should be in line with the requirements of your project and the area you want to focus on. The future opportunities of both languages appear promising with a wide range of professional paths available in the exciting sector of software development.
FAQ:
1. Should I learn Go or Python?
The language you should learn, whether it’s Python or Go, depends on your career goals and the type of projects you want to be involved in. Python is an adaptable programming language that is frequently used in machine learning, web development, data analysis, and various other areas. It’s a great option for many purposes. Conversely, Go excels in concurrent systems, microservices, and high-performance applications. If you are interested in developing performance-critical software or working in fields like cloud computing and networking, learning Go can be beneficial. Ultimately, the decision should align with your specific career aspirations and the projects you wish to pursue.
3. Is Go harder than Python?
Go is considered very easy to learn by many developers because to its well-known simplicity and simple syntax. Python also boasts a beginner-friendly and readable syntax. The perceived difficulty of learning either language largely depends on your programming background and the specific project requirements. Go’s minimalistic approach can make it accessible, but the choice between Go and Python should consider your familiarity with concurrent programming, your project’s needs, and your personal preferences.
3. Does Golang have a future?
Yes, Go (Golang) has a promising future, particularly in fields like cloud computing, networking, and microservices. Its growing popularity and adoption in organizations like Google, Dropbox, and Docker indicate a strong demand for Go developers. The language’s emphasis on performance, simplicity, and concurrency positions it well for the evolving landscape of software development. Learning Go can provide you with valuable skills for future opportunities in these domains.
4. Can Golang replace Python?
Python and Golang are better suited for different tasks and have different advantages. While Golang is excellent for performance-critical and concurrent applications, it may not be a suitable replacement for Python in all use cases. Python is a preferred programming language due of its flexibility and plenty of libraries specially designed for tasks like machine learning, web development, and data analysis. You should choose between Golang and Python for your project based on its specific needs and goals. In some cases, using both languages in tandem can be the most effective approach, as each excels in its own domain.
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