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Python vs Spring Boot: What are the differences?
Developers describe Python as "A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java". Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. On the other hand, Spring Boot is detailed as "Create Spring-powered, production-grade applications and services with absolute minimum fuss". Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.
Python belongs to "Languages" category of the tech stack, while Spring Boot can be primarily classified under "Frameworks (Full Stack)".
"Great libraries", "Readable code" and "Beautiful code" are the key factors why developers consider Python; whereas "Powerful and handy", "Easy setup" and "Java" are the primary reasons why Spring Boot is favored.
Python and Spring Boot are both open source tools. It seems that Spring Boot with 39.3K GitHub stars and 25.5K forks on GitHub has more adoption than Python with 25K GitHub stars and 10.3K GitHub forks.
reddit, Instacart, and Lyft are some of the popular companies that use Python, whereas Spring Boot is used by MIT, PedidosYa, and Intuit. Python has a broader approval, being mentioned in 2789 company stacks & 3500 developers stacks; compared to Spring Boot, which is listed in 326 company stacks and 585 developer stacks.
I currently work helpdesk and have been for about 6 years. I am looking to become more valuable, and I can't decide what route to take? Python is of interest, and so is PowerShell. What are some recommendations? Maybe something that would benefit a helpdesk position or even get into a network administrator.
I think that if you plan on sticking around enterprise systems and Microsoft, you should definitely get into some PowerShell. Basically anything you do via Active Directory, you should try mirroring it in PowerShell. It’s an easy one to learn, and it’s easy to follow that into Azure CLI. I was in the same boat as you — Did Helpdesk/System Administration for 10 years. PowerShell got me out.
I would also recommend PowerShell! Since I started learning PowerShell, a lot of possibilities opened up for me, I even became a PowerShell MVP. Since PowerShell Core/6/7 it has gotten a lot of interest in the Linux community and I love it for it's flexibility and possibilities only limited by your imagination ;) Check out the community dashboard to see the current usage https://aka.ms/PSGitHubBI, check out the PowerShell docs at https://docs.microsoft.com/en-us/powershell/scripting/overview?view=powershell-7, especially the "Learning PowerShell" section and feel free to contact me for further questions!
PS: Just to be complete on this, I also use Python, but in a very different scope. Python in my opinion is the best for data analytics related tasks or even whole production (web) applications (e.g. with Django). PowerShell is great for automation, orchestration and all the little tasks that makes your everyday life easier.
Definitely PowerShell. While you can do network related stuff with python, powershell gives you an in-depth understanding of various parts of the internet. This is because you manually execute each and every step, while in high end languages, you just use 1 or 2 commands. While powershell might take a bit more time, it will be really useful to understand networking and will give you a considerably high boost in terms of your career too.
I would recommend learning to use both python & power shell (plus Linux/WSL) by using them to do aspects of your current work better/faster/easier. You will definitely benefit from reading https://docs.microsoft.com/en-us/windows/python/scripting.
I would suggest taking a look at https://automatetheboringstuff.com/ - with a little thought I am sure that there are aspects of your current role that you can simplify or enhance by following the suggestions & doing so will give you valuable experience and may result in offers of more interesting roles growing from your current one.
Hello, how are you, my friend, I needed help learning Python. If you can help me, I will be very grateful to you.
I’ve been using Django for the last year on and off to do my backend API. I’m getting a bit frustrated with the Django REST framework with the setup of the serializers and Django for the lack of web sockets. I’m considering either Spring or .NET Core. I’m familiar with Kotlin and C# but I’ve not built any substantial projects with them. I like OOP, building a desktop app, web API, and also the potential to get a job in the future or building a tool at work to manage my documents, dashboard and processes point cloud data.
I’m familiar with c/cpp, TypeScript.
I would love your insights on where I should go.
Theres a logt going on in the dotnet world. I currently do all my Rest APIs with asp.net core.
The Setup is very easy as the .net web sdk provides with a lot features you don't want to keep yourself concerned with. You can integrate Swagger with little effort.
Spring Boot is the lightweight of the Spring framework. I used the Spring framework before, and I fall in love with the Spring Boot. I also use .NET core, but still, I like Spring boot the best. If you have time then you should experience both. You are more than halfway in gaining experience. My suggestion is always to try to learn many things as you can.
I see what you're going through and I extend my hands to you. I felt the same frustration after almost 1.5 years of working with Django and Node.js in the parallel. And since the last one year, I've transitioned into Spring Boot. I think its fair to say, that its quite different when you're going from Django background as a framework, but otherwise. I think it's one of the robust ones out there. Scalability is seamless and you get most of the things out of the box or easily supported by dev dependencies. You should definitely check it out! :)
Hi, I have a project on my mind, and I need some help. First of all, I know it is all about personal preference, but I am a beginner in the back-end part. So, I am trying to figure out which language is better, for example, for user authentication and interaction between the users. Also, I don't know which framework is better for this work. My first thought was to use PHP, but after some research on the internet, I'm leaning towards Laravel. I will be grateful if you have some advice for me.
First thoughts: * As a beginner you need to understand concepts first, all languages out there are great, each has it's own philosophy, each is better suited for a specific situation. Learn concepts first, do something, then you will understand the differences between them and why one should be chose over another for a task * As a project manager you want your project to come to an end. You will get lost in all the different solutions out there (and it's good), but don't get lost too far. Very often I see people getting lost in those debates and never achieving things, like someone writing a book that would still be choosing the font 6 months after (we've all done that it's ok, but we have to realise it)
Chances are your project can be equally good on any different stacks. I heard an interview of someone from Uber who said something like they started with python, went to node, went back to python and went to go, and with micro-services now they can have all of them all-together.
Last remark: from what I know Laravel is a framework for PHP, so it IS PHP. Just like Symphony for PHP, Express for Node.js, Koa for Node.js, Flask for Python ...
Now to answer your question :
- PHP has a big community, it is great and easy to start with, and you will definitely will learn real object oriented structure
Hope it helps, good luck
Short answer, if it's a web project (and I guess it is) go with PHP and you can integrate NodeJs services later.
@adzaria (Ezra Fayet) gave a great answer and I'd like to emphasize the first part:
As a beginner you need to understand concepts first. For me that means to understand the web, how servers and requests work, APIs and few others.
Now, I'd like to add few things so, this is the long answer:
- Everyone knows about the community - PHP is way older so you will find lots of resources and I am not only talking about learning - also lots of helpful tools and packages
Why not Python? Python got popular because of AI - don't use PHP for AI and don't use Python for web applications. I can elaborate a lot here but I guess you get the point.
Why not NodeJs?
- NodeJs got popular because of sockets - and it works great, but as a service
- Try to find a good and affordable hosting for NodeJs. How about for Python?
- I would not ignore the security issues that it had and could appear. PHP is older and, therefore, wiser :)
Now, about a framework... is this a learning project or something that you need to do fast? My advice is to start a small project and not use any framework. However, you can use packages and inspire from a framework's architecture - Laravel is a good role model.
Why not start a big project? You will get distracted, get into details and product design stuff and get scared or border and abandon it. For your project you need an MVP - list of minimum required features that you put on paper - that you will complete. After that you can improve.
you can choose Node.js Here are my points
Node.js is build over chrome’s v8 and its works on non blocking io. Node.js have huge community and great packages (npm) to help you out in most cases and makes development faster Node.js has been adopted by many multi dollar company Hope this helps😊
Python, PHP and Node.js all are capable of being used to create good complex software. There are many examples of similar applications built on all of them. If I have to pick one, I would say consider Python and Django. It is fairly easy to develop web applications on top of this stack. Scaling and maintaining the application should also not be a problem given a lot of resources are available online.
The reason why i chose PHP is the amount of content you can find on the internet easily. As you quoted being a beginner, i think a more mature language would be better. And that's also another reason for following with PHP.
Python is simple and "mature", but it can be a bit hard to understand if you are a beginner. Python relies on heavy abstraction, and that's the reason behind it's simplicity. Python is an "easy to play, hard to master" language, i never recommend it to beginners. Also, one [maybe personal] reason why i don't like to use Python as back-end is: Python is very data-focused. So if your app has focus on business logic, Python wouldn't fit very well. And with that becomes an advantage, if your app has statistical focus, being data-focused or something like that, Python has huge advantage among all other languages due to many great tools the community has built.
About Node, it's like PHP, but less mature. It's as easy as PHP to find tools that can help you, for example, to abstract the database-connection's logic. But to find architectural-focused content, more advanced concepts, it's a lot harder. While that, Laravel's community, for example, has a lot of materials that involves those concepts.
Still, if you are really a beginner, i don't recommend using Laravel with PHP. Do things on plain PHP first, understand the reason behind using frameworks and Laravel's motivation.
Also, consider a strong-typed language first, those are considered more didatic, but less flexible.
You cannot choose between Python | PHP | NodeJS Since they are entirely for Different purpose.
In Bird view
Python - Large Scale Projects and if you want a job in big IT company.
Node.JS - Huge computing projects and if you want job in Silicon valley startup.
PHP - Cost Effective and If you want start a business in near future.
I have used Laravel, but with Django you can develop faster, as authentication and admin panel are configured out of the box. It users SQLite by default and you won't have to worry about the database in the begginning
I've heard PHP is very popular in the freelance world. I don't know PHP. However, I'm sure it wouldn't be difficult to learn since it has many similarities with Java (OOP). It seems to me that Laravel has similarities with Spring Boot (it's MVC and OOP). Also, people say Laravel works well with Vue.js, which is my favorite JS framework.
The projects I would like to work on are custom web applications/websites for small businesses. I have developed custom ERPs before and found that Java was a good fit, except for it taking a long time to develop. I cannot make a choice, and I am constantly switching between trying PHP and Node.js/Express. Any real-world advice would be welcome! I would love to find a stack that I enjoy while doing meaningful freelance coding.
Hi Eva, As you have solid experience with Spring already, you should jump into freelancing with that. It would be quite stressful to start freelancing with a tech stack you don't know well. Then in the background you can keep learning/practicing an alternative and switch over when you are confident enough (eg. 0.5-1 year later). I think you should learn Laravel as you already like it and find it easier. Express has better performance but that is not required for most of the small freelancer projects.
I think Patrik and Alex are right: if you're comfortable with Spring Boot already, you'll be more productive right from the start.
If you wish to learn something else besides, both Laravel and Express are good choices. They aren't in the same category of frameworks: Laravel is an all-in-one solution, while Express is more like "build your own stack from different parts". Which implies that you can use whatever you want as a database engine: MySQL or PostgreSQL are perfectly valid choices (in my school, we teach Express with MySQL, because SQL is still a big thing here in France, and a sought-after skill). You can use Sequelize or TypeORM which support all major SQL DBMS.
Bottom line: using a stack tech, that you enjoy and are comfortable with, matters. Spring Boot + Vue.js seem perfectly fine to me. But do forget jQuery if you're using Vue.js, React or Angular, because it will definitely bring more harm than good!
Note: These are all my opinions and what I've seen in the current market when recently searching for jobs.
I would definitely recommend you to go with Spring Boot + AngularJS + jQuery. Reasons: 1- You have an experience of 4 years with the above-mentioned stack. 2- As you mentioned that you wish to work as a freelancer, your stack is the perfect one for finding good bids with a little less effort than that of PHP + Laravel + Vue.js.
Hi as someone who employs and select developers i agree with a lot almost sayed but think of what are your strengths and where you are or better where your customers are. If you search for big enterprise projects spring boot is ok sql is must and html css as well. if you want to go more to internet related companies (like airbnb, what sup, facebook ) or similar (and not asia) then react is a must node js as well. The libraries tools etc which are used you need to adopt fast. If asia then VUE is a must. but if you like small projects with individuals or like wordpress or similar then you can learn php but i think in 2020 it is wasted time. Same for python in that area. and i also see that we often have problem that developer at least must understand docker docker compose better as it works with kubernetes ,.. just my 5 cents
As a developer myself, I would recommend you not to restrict yourself to JAVA, PHP or any other language. New Tools/languages keep coming every day. If you do plan to move to freelancing. PHP has a lot of options in the freelance space and a lot of competition too.
Learning PHP is as simple as learning any other language. It depends merely on your interest.
I agree with you JAVA is a lot more time consuming. But it also has its enterprise level scope.
At the same time learning a new language should not be a barrier for you to stop exploring what's out there and keeping your skills up to date. Learning new technologies should be your primary focus and getting project out of your stack helps you build a good reputation.
There are many options for you to pursue. Having an open mindset will help you move forward. If you look to learn now, you are setting yourself up for a brighter future.
in order to stay employable, I'd work with something you can deliver with. if I'd be your client and you'd have to get comfortable with a new stack, I would 100% not pay you for this startup time. learn new stuff in your free-time. or set aside time for learning.
regarding expressjs and mongodb: yes, it is a goto solution for a lot of tutorials, because its as simple as it gets. especially wben using something like monk. BUT if you want to use mysql, posgres or similar, check out TypeORM, Prism or another ORM-like solution. you can use any db with express, and there's plenty of abstraction layers, which make your life easier. but i noticed that expressjs does a lot less "holding hands" compared to .net core (c#), or laravel (php). can be a pro or a con.
I like fullstack freelancers who stacks are clean as one of below
PHP (laravel ) + Jquery + Bootstrap
Python(Django) + Angular JS or VueJS
NODEJS + REACTJS
Please, try to work with your comfortable stack, here is some recommendation
I am willing to build a used car sales platform, which will have a lot of stock/photos and will rely a lot on the back end functions and data generating. Java seems to be a good choice, but what other options can I consider that can also be easily scalable as well as a little faster to write?
Hi, Kamal! I don't know if your question is still relevant. But I would like to introduce you to our solution, perhaps it will be useful for future projects. We have developed a web application constructor that can be used to create almost any website or application https://falconspace.site/. The entire development stack is reduced to SQL only. The platform is easy to configure and make subsequent changes if necessary.
Firstly, you must know that java and python are both amazing languages. But I recommend python mainly because of the variety of modules and packages available to do almost anything. If you are planning on adding graphs, you can use the matplotlib library and to add photos, use the pillow module. And just note that both of these aren't available by default, so you need to install them through pip.
I am currently planning to build a project from scratch. I will be using Angular as front-end framework, but for the back-end I am not sure which framework to use between Spring Boot and NestJS. I have worked with Spring Boot before, but my new project contains a lot of I/O operations, in fact it will show a daily report. I thought about the new Spring Web Reactive Framework but given the idea that Node.js is the most popular on handling non blocking I/O I am planning to start learning NestJS since it is based on Angular philosophy and TypeScript which I am familiar with. Looking forward to hear from you dear Community.
NestJS is an excellent framework (they both are). I would say the fact that you're working with Angular makes NestJS a great match, unless you're splitting front and back end between developers. But even in that case I would still go with NestJS for a new project.
Regarding the single threading point, take a look at PM2 which helps to run Node in multiple processes (we use it with NestJS) https://pm2.keymetrics.io/docs/usage/cluster-mode/
Also regarding web server performance in general this is an interesting post showing how Node with outperform Java in a web situation (be careful though, best to check a few posts to make sure these aren't totally biased benchmarks!): https://www.tandemseven.com/blog/performance-java-vs-node/
Node.js has only 1 real thread per process; Java JIT will mostly run faster than JS one; So if it happens to be not only I/O... Why do you need most popular, not simply popular? Does Node.js have tech advantages?
I need your help in choosing either Spring Boot or ASP.NET Core. Both frameworks seem to have mature ecosystems. I would like to hear your thoughts on the following points:
- Difficulty level of both frameworks
- Level of community support
- Career prospects i.e do Spring based jobs pay more or vice versa
- which one will be helpful if I decide to transition towards a more specialized field like data engineering.
I am asking this because it is something that I am also exploring in parallel. I know that Python and #SQL play a huge role in big data.
I'll preface this by saying I haven't ever done work on the Microsoft stack, so take this with a grain of salt.
Community support: Java tends to have a more active community (and much more diverse universe of new open source projects) than .Net (related to below).
Difficulty level: I'd say the Java/Spring stack is more difficult because Java developers tend to use more community projects and have to know which ones to choose in which circumstances (e.g. what logging framework to use? What database connection pooling library to use? What testing framework to use). That being said, most decisions you have to make have choices that are vastly more popular than others. My impression is that .NET guys use stuff from the standard library almost exclusively. If it's not provided there, it's a problem they never thought to solve or maybe write their own (usually the former).
Career prospects: I'll get hate for this probably, but Java/Spring has more jobs than .Net. .NET Core even more so because it's new. Most .NET jobs out there are going to be not Core, and not on anything other than Windows. LinkedIn search for jobs in United States shows 97,103 for Java and 36,448 for C#. That's not to say some individual city might not have more .NET than Java, but by and large Java is bigger. Also, .NET is not dying at the same pace as say Ruby on Rails (sorry Rails fans). I'd say it's ticking very slowly lower, maybe even holding steady. I wouldn't say you're screwed career-wise if you choose .NET. C# is also pretty similar to Java from what I've seen, and I know professionals that have transitioned to Java (though interestingly, I don't know any that did the reverse). Several companies have basically no .NET footprint, for example, Amazon, Google, Facebook, LinkedIn, Twitter all have Java, but basically no C#.
Specialized fields: Neither Spring or .Net are going to be a thing in a field like data science. That's exclusively Python (some R) for the most part. The only exception being that there is some Java in Hadoop, and Scala in Spark (which runs on the JVM). But I think those are generally more for data products being created, and not data science work. I'm also under the impression this is increasingly less the case than historically. Some other specialties might make Java useful, for example Android development.
In short, Java is the COBOL of the modern enterprise (which is both a good and bad thing). I recommend it to anyone over .NET, but not for technical reasons. It's for reasons related to the questions you asked. There are actually reasons I think CLR and C# are actually better from a technical perspective than Java (unsurprisingly, since they had the benefit of hindsight). But that's not what you were asking about...
Spring boot helps you creating microservices in hours, not days and there is a very active community around it with amazing integrations. Check one of the tutorials maybe. At least here in Germany, the job market will be better for Spring Boot as well, there are a lot more companies using Java then C#.
ASP.NET Core is pretty new while spring boot is very old but with a different name. Spring boot is just a pack of spring packages which make your life easier. I also believe that java community is way stronger than c# community... You can do your job in both frameworks and it's up to you what you choose after-all you're going to work on the project/lead it ... but whatever you choose.. after a few days of investment stick with your decision because in both frameworks you'll encounter challenges :)
I’ll echo what others have said here with a few twists.
I have experience with both platforms including Micronaut, a relatively new kid on the block. It all depends on your near term goal. If it is to make money, sure Java jobs pay more generally because there is more hassles when dealing with the entire ecosystem. Like someone said earlier, you have to make a decision at almost every stage of the development cycle from the IDE, dependency resolution framework, logging, serialization, microservice framework etc. There is just too much choice which some may argue is an advantage while others may argue is a distraction and productivity killer. At the end of the day you can build solid systems with both frameworks.
Coming to ASP Core, yes I also agree that options are more streamlined. You’ll be using Visual Studio or Visual Studio code. For dependency management, you’ll be using Nuget. But I disagree with one of the comments above about the lack of choice. In some aspects .NET actually has more choice believe it or not for example choice of ORM. There is entity framework, nhibernate, dapper etc. For J2ee, hibernate reigns supreme although you have JPA. For dependency injection you have many IoC containers like unity, castle Windsor in .NET while you have Guice and maybe a Spring based implementation.
Also C# is technically a better language that Java. That’s not questionable as has also been stated above. Many things are done right obviously by avoiding some of the mistakes made in the underlying architecture surrounding the Java programming language. That’s why Microsoft created c# to begin with. The language is a lot cleaner and allows you to focus on learning core principles and nail down fundamental OO with emphasis on good design. I find too many distractions in the Java ecosystem which takes me away from understanding the core problem I am trying to solve.
So as you can this is not an easy decision and as someone has stated there’s work to do regardless of what technology choice you make.
If your sole purpose is to make a higher base salary, sure pick Spring Boot. If you want to quickly deliver something and iterate, pick ASP Core. I personally use c# for all private projects and proving concepts even though my employer is a Java shop. It allows me to stay focused on solving the problem and not constantly wrestle with issues such as Gradle dependency resolution glitches in IntelliJ.
Given that you can transfer skills from .NET to J2ee I recommend guys to pick up ASP get a couple of services to get a feel web development as you can still get jobs in Java even with that experience. Companies don’t care these days. In fact a lot of companies are going to Go so there’s that too.
Depends on your immediate term goal.
I am an undergraduate in computer science. (3rd Year)
Then, later, for back-end programming languages, Rust seems like your best bet. Its pros: - it's satisfying to work with (after the learning curve) - it's got potential to grow big in the next year (also with better paying jobs) - it's super versatile (you can do high-perf system stuff, graphics, ffi, as well as your classic api server) It comes with a few cons though: - it's harder to learn (expect to put in years) - the freelancing options are virtually non-existent (and I would expect them to stay limited, as rust is better for long-term software than prototypes)
And if you want to go with python as a secondary tool then i suggest you to learn a python framework (Flask,Django).
Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?
Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS
- The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv import json with open("your_input.csv", "r") as f: csv_as_dict = list(csv.DictReader(f)) with open("your_output.json", "w") as f: json.dump(csv_as_dict, f)
The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json
It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.
A lot depends on the last two pieces, but the converting itself is really pretty neat.
This should be pretty doable in any language. Go with whatever you're most familiar with.
That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.
I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.
I am trying to make Roblox game which requires Lua. I quite don't want to go with Lua just because other tools just might let me do more projects later on. I heard that Python is most similar to Lua, but I am still not sure which tool to use. Java, I think it will help me with many stuff later on for websites, projects, and more!
Since you are trying to make a Roblox game, you have no other option than to use Lua, since Roblox only allows coding in Lua. Yes, you've heard right, Python is identical and as easy as Lua, although Lua is easier than Python. Beginning from Lua and then escalating to Python is recommended. Java is only helpful when you are creating a heavy, big-budget, enterprise-level product, otherwise, Python would suffice.
If you really hate lua check out roblox-ts, a tool that compiles typescript code into roblox lua. https://github.com/roblox-ts/roblox-ts
With Python + Django it was so much faster to create a typical website like this. Using Go would take to long to launch the initial version. For example, Python could handle complex data type with less line of code. Django also has many built-in libraries and a huge ecosystem of libraries that can be easily used to build a feature.
We changed to Python instead of Java to have the back-end processing in the same language as our data analysis module. In addition, Python has a lot of libraries for data-processing. We intend to use Flask for our back-end web development. Flask is a simple, straight-forward framework for our purposes. Flask also has a large community which is beneficial to the development process.
Python is a great industry standard language that can easily handle both machine learning and web development tasks. Our dev team is very familiar with the language and has used it in various web and Machine learning projects. Python has many versatile ML specific libraries that include TensorFlow, Pytorch, Pycaret, and Keras. It also has packages for data manipulations and visualization like Numpy, Pandas, and Matplotlib. Since our software requires machine learning algorithms, big data processing and a backend server, Python seemed like the way to go.
Our team decided to go distributed databases (NoSQL) over a relational database (SQL) because of the NoSQL dynamic schemas for unstructured data. We are using MongoDB as our NoSQL database due to its simplicity, schema less documentation, deep/fast querying ability, user data management, big data, JSON style documents, and great scaling out. We also chose MongoDB due to its horizontal scaling as a NoSQL database.
Since we are using python as our backend programming language, we decided to use Flask as our web framework. Flask is a micro and lightweight web framework that provides the required functionality to efficiently develop our web server. Flask has a great community with many online resources and provides more flexibility in terms of customization when compared to other frameworks like Django. While Django is great for large scale applications, it does not work well with NoSQL databases.
For our front end framework, we decided to go with React due to its component based structures, flexibility, scalability, and high performance. React has a strong community and is trusted by top companies such as Facebook, Netflix, and Paypal. We can also easily transition our react app to a react native or electron app. We will also be using material-ui framework alongside react for that crisp google material design!
Node.js will be used for development purposes for the front end only. Once we deploy for production, the react frontend will be served from the flask web server and will not require Node.js. This separates the frontend and backend during development, making it easier to work with.
Starting a new company in 2020, with a whole new stack, is a really interesting opportunity for me to look back over the last 20 years of my career with web software and make the right decision for my company.
And, I went with the most radical decision– which is to ignore "sexy" / "hype" technologies almost entirely, and go back to a stack that I first used over 15 years ago.
For my purposes, we are building a video streaming platform, where I wanted rapid customer-facing feature development, high testability, simple scaling, and ease of hiring great, experienced talent. To be clear, our web platform is NOT responsible for handling the actual bits and bytes of the video itself, that's an entirely different stack. It simply needs to manage the business rules and the customers experience of the video content.
I reviewed a lot of different technologies, but none of them seemed to fit the bill as well as Rails did! The hype train had long left the station with Rails, and the community is a little more sparse than it was previously. And, to be honest, Ruby was the language that was easiest for developers, but I find that most languages out there have adopted many of it's innovations for ease of use – or at least corrected their own.
Even with all of that, Rails still seems like the best framework for developing web applications that are no more complex than they need to be. And that's key to me, because it's very easy to go use React and Redux and GraphQL and a whole host of AWS Lamba's to power my blog... but you simply don't actually NEED that.
There are two choices I made in our stack that were new for me personally, and very different than what I would have chosen even 5 years ago.
1) Postgres - I decided to switch from MySql to Postgres for this project. I wanted to use UUID's instead of numeric primary keys, and knew I'd have a couple places where better JSON/object support would be key. Mysql remains far more popular, but almost every developer I respect has switched and preferred Postgres with a strong passion. It's not "sexy" but it's considered "better".
1. Type safety and inferred types
Go is type safe by default, which allows you to right more reliable code and have better developer tooling, plus with the
:= operator, you can initialize a variable without having to define its type because it automatically gets its type from the initial value.
There isn't much to be said here, but on most counts go beats both Python and Node.js on performance.
I'm not talking about the Go language itself, although it does have good docs. I'm talking about Go's auto generated documentation tool, which allows people to document their packages easily and works amazingly with Go's type system.
4. Compiles to binary
If you are making a local program for somebody and they don't want to download the Go compiler, you can make Go into a native binary.
5. Built for the web
Go has built in Http libraries to rival Express.js and has a HTML/Text templating system.
6. Great Concurrency
Go utilizes Goroutines to help developers utilize multiple threads easily.
Go is an excellent choice for any system code, especially http networking and web backends.
Node continues to be dominant force in the world of web apps, with it's signature async first non-blocking IO, and frankly mind bending speeds. PHP and Python are formable tools, I chose Node for the simplicity of Express as a good and performant server side API gateway platform, that works well with Angular.
Both PHP and Python are free but when it comes to web development PHP wins for sure. There is no doubt that Python is a powerful language but it is not optimal for web. PHP has issues... of course; but so does any other language.
Another reason I chose PHP is for community - it has one of the most resourceful communities from the internet and for a good reason: it evolved with the language itself.
The fact that OOP evolved so much in PHP makes me keep it for good :)
In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.
We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.
In the end the solution was much cleaner and maintainable.
A number of years ago; I had done python for a long time prior to learning about Go. Most of what I wrote was system-like things and web-things in python, and I got tired of running into the lack-of-a-type-system problems that python gave me. I wanted to switch to a compiled, strongly-typed system that wasn't C/C++ (been there, done that, got the "shoot yourself in the foot" t-shirt). I looked into both Rust/Go, and for what I wanted to do (system/web) stuff ... at the time, Go was the strongest candidate, so I switched and never went back. Recently I started to re-look at Rust for system things, but for anything I do that I have to touch the web with, it will be Go from now on.
Pros of Python
- Great libraries1.2K
- Readable code952
- Beautiful code837
- Rapid development781
- Large community685
- Open source428
- Great community279
- Object oriented270
- Dynamic typing215
- Great standard library76
- Very fast57
- Functional programming52
- Easy to learn45
- Scientific computing44
- Great documentation34
- Matlab alternative27
- Easy to read26
- Simple is better than complex22
- It's the way I think19
- Very programmer and non-programmer friendly16
- Machine learning support15
- Powerfull language15
- Fast and simple14
- Explicit is better than implicit10
- Clear and easy and powerfull9
- Unlimited power9
- Ease of development9
- Import antigravity8
- Print "life is short, use python"7
- It's lean and fun to code7
- Now is better than never6
- Great for tooling6
- Flat is better than nested6
- Python has great libraries for data processing6
- Although practicality beats purity6
- I love snakes6
- High Documented language6
- There should be one-- and preferably only one --obvious6
- Fast coding and good for competitions6
- Rapid Prototyping5
- Readability counts5
- Web scraping4
- Great for analytics4
- Socially engaged community4
- Lists, tuples, dictionaries4
- Complex is better than complicated4
- Multiple Inheritence4
- Beautiful is better than ugly4
- CG industry needs4
- If the implementation is easy to explain, it may be a g3
- Easy to setup and run smooth3
- Easy to learn and use3
- Simple and easy to learn3
- No cruft3
- Many types of collections3
- Import this3
- List comprehensions3
- Pip install everything3
- Special cases aren't special enough to break the rules3
- If the implementation is hard to explain, it's a bad id3
- Powerful language for AI2
- Because of Netflix2
- Only one way to do it2
- Better outcome2
- Good for hacking2
- Flexible and easy2
- It is Very easy , simple and will you be love programmi2
- Batteries included2
- Can understand easily who are new to programming2
- Should START with this but not STICK with This2
Pros of Spring Boot
- Powerful and handy142
- Easy setup133
- Lots of "off the shelf" functionalities37
- Cloud Solid32
- Caches well26
- Many receipes around for obscure features24
- Integrations with most other Java frameworks23
- Spring ecosystem is great22
- Fast Performance With Microservices21
- Easy setup, Community Support, Solid for ERP apps17
- One-stop shop15
- Easy to parallelize14
- Easy setup, good for build erp systems, well documented13
- Powerful 3rd party libraries and frameworks13
- Easy setup, Git Integration12
- It's so easier to start a project on spring5
- The ability to integrate with the open source ecosystem1
- Microservice and Reactive Programming1
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Cons of Python
- Still divided between python 2 and python 351
- Performance impact28
- Poor syntax for anonymous functions26
- Package management is a mess19
- Too imperative-oriented14
- Hard to understand12
- Dynamic typing12
- Very slow11
- Not everything is expression8
- Indentations matter a lot7
- Explicit self parameter in methods7
- Incredibly slow7
- Requires C functions for dynamic modules6
- Poor DSL capabilities6
- No anonymous functions6
- Official documentation is unclear.5
- The "lisp style" whitespaces5
- Fake object-oriented programming5
- Hard to obfuscate5
- Circular import4
- The benevolent-dictator-for-life quit4
- Lack of Syntax Sugar leads to "the pyramid of doom"4
- Not suitable for autocomplete4
- Meta classes2
- Training wheels (forced indentation)1
Cons of Spring Boot
- Heavy weight23
- Annotation ceremony18
- Many config files needed11
- Excellent tools for cloud hosting, since 5.x4
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