Anaconda vs Python

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Anaconda

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Python

131.7K
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Anaconda vs Python: What are the differences?

Developers describe Anaconda as "The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders". A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda. On the other hand, Python is detailed 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.

Anaconda belongs to "Data Science Tools" category of the tech stack, while Python can be primarily classified under "Languages".

Python is an open source tool with 25.3K GitHub stars and 10.5K GitHub forks. Here's a link to Python's open source repository on GitHub.

According to the StackShare community, Python has a broader approval, being mentioned in 2831 company stacks & 3641 developers stacks; compared to Anaconda, which is listed in 4 company stacks and 5 developer stacks.

Advice on Anaconda and Python
Needs advice
on
Python
PHP
and
Node.js

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.

#newbie

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Replies (7)
Recommends
PHP
Node.js

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
  • Node.js has a big community too, don't worry finding help will be as easy. It is less easy to start with but in my point of view it is a lot easier to keep on going with it on a long run. Why ? Because it's very easy to run a new project, and it executes javascript. How is it good ? Because chances are that your front will also be using javascript (React.js / View.js are crazy good). Thanks to that you will be able to master the language better because you will use it all day (and at first mastering one language is more valuable than barely knowing two) and you won't have to switch languages in your head when you code. And communication between front and back will be in json ... Which is crazy close to javascript.

Alexander is right, if you go with PHP take your time first to do things by yourself like building your own MVC, the benefit is huge and the risk is to never really be able to understand what's happening on a deeper level. (at some point you can switch to a framework though). He's also right on choosing a strongly typed language, problem is javascript is not. This is why, if you choose node, when you start being confident, add typesccript.

Hope it helps, good luck

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Octavian Irimia
Recommends
PHP

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:

Why PHP?

  • 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
  • PHP is great for OOP - not perfect, but with PHP7 got great - and if you are a beginner you want to know good OOP for your future. Let's say JavaScript's OOP is a bit strange; I will not get into details but, let's say "it's not by the book". You can still learn JavaScript for your front-end

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.

Good luck!

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somes kumar k
Member Technical Staff at Manage Engine, division of Zoho Corp · | 3 upvotes · 115.4K views
Recommends
Node.js

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😊

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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.

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Tarun Batra
Back End Developer at instabox · | 2 upvotes · 103.8K views
Recommends
Python
Django

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.

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Alexander Santos
Fullstack Developer at 3CON · | 2 upvotes · 111.2K views
Recommends
PHP

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.

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Recommends
Python
Django

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

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Kamal Makroum
Needs advice
on
React
Python
and
Java

Hi everyone.

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?

Thank you

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Replies (2)
Recommends

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.

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Ruslan Rayanov
Recommends

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.

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Needs advice
on
Rust
Python
and
JavaScript

So, I've been working with all 3 languages JavaScript, Python and Rust, I know that all of these languages are important in their own domain but, I haven't took any of it to the point where i could say I'm a pro at any of these languages. I learned JS and Python out of my own excitement, I learned rust for some IoT based projects. just confused which one i should invest my time in first... that does have Job and freelance potential in market as well...

I am an undergraduate in computer science. (3rd Year)

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Replies (3)
Recommends
JavaScript

I would start focusing on Javascript because even working with Rust and Python, you're always going to encounter some Javascript for front-ends at least. It has: - more freelancing opportunities (starting to work short after a virus/crisis, that's gonna help) - can also do back-end if needed (I would personally avoid specializing in this since there's better languages for the back-end part) - hard to avoid. it's everywhere and not going away (well not yet)

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)

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Recommends
JavaScript

I suggest you to go with JavaScript. From my perspective JavaScript is the language you should invest your time in. The community of javascript and lots of framework helps developer to build what they want to build in no time whether it a desktop, web, mobile based application or even you can use javascript as a backend as well. There are lot of frameworks you can start learning i suggest you to go with (react,vue) library both are easy to learn than angular which is a complete framework.

And if you want to go with python as a secondary tool then i suggest you to learn a python framework (Flask,Django).

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Moinul Moin
Recommends
JavaScript

go for javascript, brother.

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View all (3)
Decisions about Anaconda and Python
awesomebanana2018

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.

2. Performance

There isn't much to be said here, but on most counts go beats both Python and Node.js on performance.

3. Documentation

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.

Conclusion

Go is an excellent choice for any system code, especially http networking and web backends.

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Kyle Harrison
Web Application Developer at Fortinet · | 17 upvotes · 144.9K views

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.

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Octavian Irimia

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 :)

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Pros of Anaconda
Pros of Python
    Be the first to leave a pro
    • 1.1K
      Great libraries
    • 928
      Readable code
    • 817
      Beautiful code
    • 768
      Rapid development
    • 671
      Large community
    • 418
      Open source
    • 379
      Elegant
    • 268
      Great community
    • 261
      Object oriented
    • 209
      Dynamic typing
    • 70
      Great standard library
    • 52
      Very fast
    • 48
      Functional programming
    • 35
      Scientific computing
    • 33
      Easy to learn
    • 30
      Great documentation
    • 25
      Matlab alternative
    • 23
      Productivity
    • 22
      Easy to read
    • 19
      Simple is better than complex
    • 17
      It's the way I think
    • 17
      Imperative
    • 15
      Very programmer and non-programmer friendly
    • 14
      Powerful
    • 14
      Free
    • 13
      Fast and simple
    • 13
      Powerfull language
    • 12
      Scripting
    • 9
      Machine learning support
    • 9
      Explicit is better than implicit
    • 8
      Unlimited power
    • 8
      Ease of development
    • 7
      Import antigravity
    • 7
      Clear and easy and powerfull
    • 6
      It's lean and fun to code
    • 6
      Print "life is short, use python"
    • 5
      Flat is better than nested
    • 5
      Fast coding and good for competitions
    • 5
      There should be one-- and preferably only one --obvious
    • 5
      Python has great libraries for data processing
    • 5
      High Documented language
    • 5
      I love snakes
    • 5
      Although practicality beats purity
    • 5
      Great for tooling
    • 4
      Readability counts
    • 3
      CG industry needs
    • 3
      Beautiful is better than ugly
    • 3
      Multiple Inheritence
    • 3
      Complex is better than complicated
    • 3
      Great for analytics
    • 3
      Socially engaged community
    • 3
      Rapid Prototyping
    • 3
      Lists, tuples, dictionaries
    • 3
      Plotting
    • 2
      Generators
    • 2
      Simple and easy to learn
    • 2
      Import this
    • 2
      No cruft
    • 2
      Easy to learn and use
    • 2
      List comprehensions
    • 2
      Special cases aren't special enough to break the rules
    • 2
      Now is better than never
    • 2
      If the implementation is hard to explain, it's a bad id
    • 2
      If the implementation is easy to explain, it may be a g
    • 1
      Many types of collections
    • 1
      Better outcome
    • 1
      Batteries included
    • 1
      Ys
    • 1
      Good
    • 1
      Pip install everything
    • 1
      Easy to setup and run smooth
    • 1
      Because of Netflix
    • 1
      Flexible and easy
    • 1
      Web scraping
    • 1
      Should START with this but not STICK with This
    • 1
      Powerful language for AI
    • 1
      It is Very easy , simple and will you be love programmi
    • 1
      Only one way to do it
    • 1
      A-to-Z
    • 0
      Pro
    • 0
      Powerful

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    Cons of Anaconda
    Cons of Python
      Be the first to leave a con
      • 50
        Still divided between python 2 and python 3
      • 27
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 19
        Package management is a mess
      • 19
        GIL
      • 13
        Too imperative-oriented
      • 12
        Hard to understand
      • 11
        Dynamic typing
      • 9
        Very slow
      • 8
        Not everything is expression
      • 7
        Explicit self parameter in methods
      • 7
        Indentations matter a lot
      • 6
        Poor DSL capabilities
      • 6
        No anonymous functions
      • 6
        Requires C functions for dynamic modules
      • 5
        Threading
      • 5
        The "lisp style" whitespaces
      • 5
        Hard to obfuscate
      • 4
        Fake object-oriented programming
      • 4
        Incredibly slow
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        The benevolent-dictator-for-life quit
      • 3
        Official documentation is unclear.
      • 3
        Circular import
      • 3
        Not suitable for autocomplete
      • 1
        Training wheels (forced indentation)
      • 1
        Meta classes

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Anaconda?

      A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.

      What is Python?

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Anaconda?
      What companies use Python?
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      What tools integrate with Anaconda?
      What tools integrate with Python?

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      What are some alternatives to Anaconda and Python?
      PyCharm
      PyCharm’s smart code editor provides first-class support for Python, JavaScript, CoffeeScript, TypeScript, CSS, popular template languages and more. Take advantage of language-aware code completion, error detection, and on-the-fly code fixes!
      pip
      It is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes.
      Jupyter
      The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
      Pandas
      Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
      NumPy
      Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
      See all alternatives
      How developers use Anaconda and Python
      Exchange rates API uses
      Python

      Beautiful is better than ugly.

      Explicit is better than implicit.

      Simple is better than complex.

      Complex is better than complicated.

      Flat is better than nested.

      Sparse is better than dense.

      Readability counts.

      Special cases aren't special enough to break the rules.

      Although practicality beats purity.

      Errors should never pass silently.

      Unless explicitly silenced.

      In the face of ambiguity, refuse the temptation to guess.

      There should be one-- and preferably only one --obvious way to do it.

      Although that way may not be obvious at first unless you're Dutch.

      Now is better than never.

      Although never is often better than right now.

      If the implementation is hard to explain, it's a bad idea.

      If the implementation is easy to explain, it may be a good idea.

      Namespaces are one honking great idea -- let's do more of those!

      Web Dreams uses
      Python

      To me, this is by far the best programming language. Why? Because it’s the only language that really got me going after trying to get into programming with Java for a while. Python is powerful, easy to learn, and gets you to unsderstand other languages more once you understand it. Did I state I love the python language? Well, I do..

      ttandon uses
      Python

      Backend server for analysis of image samples from iPhone microscope lens. Chose this because of familiarity. The number one thing that I've learned at hackathons is that work exclusively with what you're 100% comfortable with. I use Python extensively at my day job at Wit.ai, so it was the obvious choice for the bulk of my coding.

      papaver uses
      Python

      been a pythoner for around 7 years, maybe longer. quite adept at it, and love using the higher constructs like decorators. was my goto scripting language until i fell in love with clojure. python's also the goto for most vfx studios and great for the machine learning. numpy and pyqt for the win.

      Blood Bot uses
      Python

      Large swaths of resources built for python to achieve natural language processing. (We are in the process of deprecating the services written in python and porting them over to Javascript and node)