Alternatives to Perl logo

Alternatives to Perl

PHP, Ruby, C lang, Java, and Python are the most popular alternatives and competitors to Perl.
3.5K
935
+ 1
575

What is Perl and what are its top alternatives?

Perl is a high-level, general-purpose programming language known for its flexibility and powerful text processing capabilities. Key features of Perl include built-in support for regular expressions, extensive module ecosystem, and cross-platform compatibility. However, Perl can be seen as a complex language with a steep learning curve, and its syntax is often criticized for being difficult to read and maintain.

  1. Python: Python is a popular high-level programming language known for its readability and simplicity. Key features include a large standard library, easy integration with other languages, and strong community support. Compared to Perl, Python has a more straightforward syntax and is widely used in web development, data science, and automation. However, Python may not be as well-suited for certain text processing tasks as Perl.
  2. Ruby: Ruby is a dynamic, object-oriented programming language with a focus on simplicity and productivity. Key features include elegant syntax, metaprogramming capabilities, and a strong emphasis on developer happiness. Compared to Perl, Ruby is often favored for its readability and elegance, but may not be as suitable for low-level system programming.
  3. PHP: PHP is a popular server-side scripting language designed for web development. Key features include easy integration with HTML, vast community support, and extensive library of frameworks and tools. Compared to Perl, PHP is more specialized for web development tasks and may not be as versatile for other types of programming.
  4. JavaScript: JavaScript is a versatile programming language primarily used for client-side web development. Key features include asynchronous programming with callbacks, event-driven architecture, and support for both front-end and back-end development. Compared to Perl, JavaScript is more focused on web development and may not be as strong in text processing capabilities.
  5. Go: Go is a statically typed, compiled programming language known for its speed and efficiency. Key features include built-in concurrency support, strong type safety, and extensive standard library. Compared to Perl, Go is more suited for systems programming and may not be as well-suited for text processing tasks.
  6. Java: Java is a widely-used, object-oriented programming language known for its platform-independence and scalability. Key features include strong type checking, automatic memory management, and extensive ecosystem of tools and frameworks. Compared to Perl, Java is more verbose in syntax but offers better performance and support for enterprise-level applications.
  7. C#: C# is a versatile, object-oriented programming language developed by Microsoft. Key features include strong typing, garbage collection, and support for modern programming paradigms. Compared to Perl, C# is more commonly used for Windows desktop development and may not be as strong in text processing capabilities.
  8. Rust: Rust is a systems programming language known for its focus on safety and performance. Key features include zero-cost abstractions, memory safety guarantees, and powerful package manager. Compared to Perl, Rust is more suited for low-level systems programming and may not be as well-suited for text processing tasks.
  9. Swift: Swift is a modern, open-source programming language developed by Apple for iOS, macOS, watchOS, and tvOS development. Key features include safety, speed, and expressiveness. Compared to Perl, Swift is more specialized for Apple ecosystem development and may not be as well-suited for general-purpose programming.
  10. Scala: Scala is a scalable language known for its functional programming capabilities and object-oriented design. Key features include type inference, pattern matching, and strong static typing. Compared to Perl, Scala is more suited for data analysis, distributed systems, and functional programming paradigms.

Top Alternatives to Perl

  • PHP
    PHP

    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. ...

  • Ruby
    Ruby

    Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. ...

  • C lang
  • Java
    Java

    Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere! ...

  • Python
    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. ...

  • PowerShell
    PowerShell

    A command-line shell and scripting language built on .NET. Helps system administrators and power-users rapidly automate tasks that manage operating systems (Linux, macOS, and Windows) and processes. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • AWK
    AWK

    A data-driven scripting language consisting of a set of actions to be taken against streams of textual data – either run directly on files or used as part of a pipeline – for purposes of extracting or transforming text, such as producing formatted reports. ...

Perl alternatives & related posts

PHP logo

PHP

146.6K
4.6K
A popular general-purpose scripting language that is especially suited to web development
146.6K
4.6K
PROS OF PHP
  • 954
    Large community
  • 820
    Open source
  • 767
    Easy deployment
  • 487
    Great frameworks
  • 387
    The best glue on the web
  • 235
    Continual improvements
  • 185
    Good old web
  • 145
    Web foundation
  • 135
    Community packages
  • 125
    Tool support
  • 35
    Used by wordpress
  • 34
    Excellent documentation
  • 29
    Used by Facebook
  • 23
    Because of Symfony
  • 21
    Dynamic Language
  • 17
    Easy to learn
  • 17
    Cheap hosting
  • 15
    Very powerful web language
  • 14
    Awesome Language and easy to implement
  • 14
    Fast development
  • 14
    Because of Laravel
  • 13
    Composer
  • 12
    Flexibility, syntax, extensibility
  • 9
    Easiest deployment
  • 8
    Readable Code
  • 8
    Fast
  • 7
    Most of the web uses it
  • 7
    Short development lead times
  • 7
    Worst popularity quality ratio
  • 7
    Fastestest Time to Version 1.0 Deployments
  • 6
    Faster then ever
  • 6
    Simple, flexible yet Scalable
  • 5
    Open source and large community
  • 4
    Easy to use and learn
  • 4
    Great developer experience
  • 4
    Has the best ecommerce(Magento,Prestashop,Opencart,etc)
  • 4
    Is like one zip of air
  • 4
    Open source and great framework
  • 4
    Large community, easy setup, easy deployment, framework
  • 4
    Cheap to own
  • 4
    Easy to learn, a big community, lot of frameworks
  • 4
    I have no choice :(
  • 2
    Hard not to use
  • 2
    Great flexibility. From fast prototyping to large apps
  • 2
    Interpreted at the run time
  • 2
    Walk away
  • 2
    FFI
  • 2
    Safe the planet
  • 2
    Used by STOMT
  • 2
    Fault tolerance
  • 1
    Simplesaml
  • 1
    Secure
  • 1
    It can get you a lamborghini
  • 1
    Bando
  • 0
    Secure
  • 0
    Largr community
CONS OF PHP
  • 21
    So easy to learn, good practices are hard to find
  • 16
    Inconsistent API
  • 8
    Fragmented community
  • 6
    Not secure
  • 3
    No routing system
  • 3
    Hard to debug
  • 2
    Old

related PHP posts

Nick Rockwell
SVP, Engineering at Fastly · | 46 upvotes · 4.4M views

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

See more

Hello, I am building a website for a school that's used by students to find Zoom meeting links, view their marks, and check course materials. It is also used by the teachers to put the meeting links, students' marks, and course materials.

I created a similar website using HTML, CSS, PHP, and MySQL. Now I want to implement this project using some frameworks: Next.js, ExpressJS and use PostgreSQL instead of MYSQL

I want to have some advice on whether these are enough to implement my project.

See more
Ruby logo

Ruby

42.3K
4K
A dynamic, interpreted, open source programming language with a focus on simplicity and productivity
42.3K
4K
PROS OF RUBY
  • 608
    Programme friendly
  • 538
    Quick to develop
  • 492
    Great community
  • 469
    Productivity
  • 432
    Simplicity
  • 274
    Open source
  • 235
    Meta-programming
  • 208
    Powerful
  • 157
    Blocks
  • 140
    Powerful one-liners
  • 70
    Flexible
  • 59
    Easy to learn
  • 52
    Easy to start
  • 42
    Maintainability
  • 38
    Lambdas
  • 31
    Procs
  • 21
    Fun to write
  • 19
    Diverse web frameworks
  • 14
    Reads like English
  • 10
    Makes me smarter and happier
  • 9
    Rails
  • 9
    Elegant syntax
  • 8
    Very Dynamic
  • 7
    Matz
  • 6
    Programmer happiness
  • 5
    Object Oriented
  • 4
    Elegant code
  • 4
    Friendly
  • 4
    Generally fun but makes you wanna cry sometimes
  • 4
    Fun and useful
  • 3
    There are so many ways to make it do what you want
  • 3
    Easy packaging and modules
  • 2
    Primitive types can be tampered with
CONS OF RUBY
  • 7
    Memory hog
  • 7
    Really slow if you're not really careful
  • 3
    Nested Blocks can make code unreadable
  • 2
    Encouraging imperative programming
  • 1
    No type safety, so it requires copious testing
  • 1
    Ambiguous Syntax, such as function parentheses

related Ruby posts

Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 4.2M views

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

See more
Jonathan Pugh
Software Engineer / Project Manager / Technical Architect · | 25 upvotes · 3.1M views

I needed to choose a full stack of tools for cross platform mobile application design & development. After much research and trying different tools, these are what I came up with that work for me today:

For the client coding I chose Framework7 because of its performance, easy learning curve, and very well designed, beautiful UI widgets. I think it's perfect for solo development or small teams. I didn't like React Native. It felt heavy to me and rigid. Framework7 allows the use of #CSS3, which I think is the best technology to come out of the #WWW movement. No other tech has been able to allow designers and developers to develop such flexible, high performance, customisable user interface elements that are highly responsive and hardware accelerated before. Now #CSS3 includes variables and flexboxes it is truly a powerful language and there is no longer a need for preprocessors such as #SCSS / #Sass / #less. React Native contains a very limited interpretation of #CSS3 which I found very frustrating after using #CSS3 for some years already and knowing its powerful features. The other very nice feature of Framework7 is that you can even build for the browser if you want your app to be available for desktop web browsers. The latest release also includes the ability to build for #Electron so you can have MacOS, Windows and Linux desktop apps. This is not possible with React Native yet.

Framework7 runs on top of Apache Cordova. Cordova and webviews have been slated as being slow in the past. Having a game developer background I found the tweeks to make it run as smooth as silk. One of those tweeks is to use WKWebView. Another important one was using srcset on images.

I use #Template7 for the for the templating system which is a no-nonsense mobile-centric #HandleBars style extensible templating system. It's easy to write custom helpers for, is fast and has a small footprint. I'm not forced into a new paradigm or learning some new syntax. It operates with standard JavaScript, HTML5 and CSS 3. It's written by the developer of Framework7 and so dovetails with it as expected.

I configured TypeScript to work with the latest version of Framework7. I consider TypeScript to be one of the best creations to come out of Microsoft in some time. They must have an amazing team working on it. It's very powerful and flexible. It helps you catch a lot of bugs and also provides code completion in supporting IDEs. So for my IDE I use Visual Studio Code which is a blazingly fast and silky smooth editor that integrates seamlessly with TypeScript for the ultimate type checking setup (both products are produced by Microsoft).

I use Webpack and Babel to compile the JavaScript. TypeScript can compile to JavaScript directly but Babel offers a few more options and polyfills so you can use the latest (and even prerelease) JavaScript features today and compile to be backwards compatible with virtually any browser. My favorite recent addition is "optional chaining" which greatly simplifies and increases readability of a number of sections of my code dealing with getting and setting data in nested objects.

I use some Ruby scripts to process images with ImageMagick and pngquant to optimise for size and even auto insert responsive image code into the HTML5. Ruby is the ultimate cross platform scripting language. Even as your scripts become large, Ruby allows you to refactor your code easily and make it Object Oriented if necessary. I find it the quickest and easiest way to maintain certain aspects of my build process.

For the user interface design and prototyping I use Figma. Figma has an almost identical user interface to #Sketch but has the added advantage of being cross platform (MacOS and Windows). Its real-time collaboration features are outstanding and I use them a often as I work mostly on remote projects. Clients can collaborate in real-time and see changes I make as I make them. The clickable prototyping features in Figma are also very well designed and mean I can send clickable prototypes to clients to try user interface updates as they are made and get immediate feedback. I'm currently also evaluating the latest version of #AdobeXD as an alternative to Figma as it has the very cool auto-animate feature. It doesn't have real-time collaboration yet, but I heard it is proposed for 2019.

For the UI icons I use Font Awesome Pro. They have the largest selection and best looking icons you can find on the internet with several variations in styles so you can find most of the icons you want for standard projects.

For the backend I was using the #GraphCool Framework. As I later found out, #GraphQL still has some way to go in order to provide the full power of a mature graph query language so later in my project I ripped out #GraphCool and replaced it with CouchDB and Pouchdb. Primarily so I could provide good offline app support. CouchDB with Pouchdb is very flexible and efficient combination and overcomes some of the restrictions I found in #GraphQL and hence #GraphCool also. The most impressive and important feature of CouchDB is its replication. You can configure it in various ways for backups, fault tolerance, caching or conditional merging of databases. CouchDB and Pouchdb even supports storing, retrieving and serving binary or image data or other mime types. This removes a level of complexity usually present in database implementations where binary or image data is usually referenced through an #HTML5 link. With CouchDB and Pouchdb apps can operate offline and sync later, very efficiently, when the network connection is good.

I use PhoneGap when testing the app. It auto-reloads your app when its code is changed and you can also install it on Android phones to preview your app instantly. iOS is a bit more tricky cause of Apple's policies so it's not available on the App Store, but you can build it and install it yourself to your device.

So that's my latest mobile stack. What tools do you use? Have you tried these ones?

See more
C lang logo

C lang

13.7K
253
One of the most widely used programming languages of all time
13.7K
253
PROS OF C LANG
  • 69
    Performance
  • 49
    Low-level
  • 36
    Portability
  • 29
    Hardware level
  • 19
    Embedded apps
  • 13
    Pure
  • 9
    Performance of assembler
  • 8
    Ubiquity
  • 6
    Great for embedded
  • 4
    Old
  • 4
    Compiles quickly
  • 3
    No garbage collection to slow it down
  • 2
    OpenMP
  • 2
    Gnu/linux interoperable
CONS OF C LANG
  • 5
    Low-level
  • 3
    No built in support for parallelism (e.g. map-reduce)
  • 3
    Lack of type safety
  • 3
    No built in support for concurrency

related C lang posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 17 upvotes · 2.4M views

Why Uber developed H3, our open source grid system to make geospatial data visualization and exploration easier and more efficient:

We decided to create H3 to combine the benefits of a hexagonal global grid system with a hierarchical indexing system. A global grid system usually requires at least two things: a map projection and a grid laid on top of the map. For map projection, we chose to use gnomonic projections centered on icosahedron faces. This projects from Earth as a sphere to an icosahedron, a twenty-sided platonic solid. The H3 grid is constructed by laying out 122 base cells over the Earth, with ten cells per face. H3 supports sixteen resolutions: https://eng.uber.com/h3/

(GitHub Pages : https://uber.github.io/h3/#/ Written in C w/ bindings in Java & JavaScript )

See more

One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

See more
Java logo

Java

138.7K
3.7K
A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
138.7K
3.7K
PROS OF JAVA
  • 607
    Great libraries
  • 446
    Widely used
  • 401
    Excellent tooling
  • 396
    Huge amount of documentation available
  • 334
    Large pool of developers available
  • 209
    Open source
  • 203
    Excellent performance
  • 158
    Great development
  • 150
    Used for android
  • 148
    Vast array of 3rd party libraries
  • 61
    Compiled Language
  • 53
    Used for Web
  • 47
    High Performance
  • 46
    Managed memory
  • 45
    Native threads
  • 43
    Statically typed
  • 35
    Easy to read
  • 33
    Great Community
  • 29
    Reliable platform
  • 24
    JVM compatibility
  • 24
    Sturdy garbage collection
  • 22
    Cross Platform Enterprise Integration
  • 20
    Good amount of APIs
  • 20
    Universal platform
  • 18
    Great Support
  • 14
    Great ecosystem
  • 11
    Lots of boilerplate
  • 11
    Backward compatible
  • 10
    Everywhere
  • 9
    Excellent SDK - JDK
  • 8
    It's Java
  • 7
    Static typing
  • 7
    Cross-platform
  • 6
    Mature language thus stable systems
  • 6
    Better than Ruby
  • 6
    Long term language
  • 6
    Portability
  • 5
    Vast Collections Library
  • 5
    Clojure
  • 5
    Used for Android development
  • 4
    Most developers favorite
  • 4
    Old tech
  • 4
    Best martial for design
  • 3
    Javadoc
  • 3
    History
  • 3
    Testable
  • 3
    Great Structure
  • 3
    Stable platform, which many new languages depend on
  • 2
    Type Safe
  • 2
    Faster than python
  • 1
    Makes code organized
  • 0
    Job
CONS OF JAVA
  • 33
    Verbosity
  • 27
    NullpointerException
  • 17
    Nightmare to Write
  • 16
    Overcomplexity is praised in community culture
  • 12
    Boiler plate code
  • 8
    Classpath hell prior to Java 9
  • 6
    No REPL
  • 4
    No property
  • 3
    Code are too long
  • 2
    Non-intuitive generic implementation
  • 2
    There is not optional parameter
  • 2
    Floating-point errors
  • 1
    Java's too statically, stronglly, and strictly typed
  • 1
    Returning Wildcard Types
  • 1
    Terrbible compared to Python/Batch Perormence

related Java posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 4.2M views

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

See more
Python logo

Python

250.8K
6.9K
A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
250.8K
6.9K
PROS OF PYTHON
  • 1.2K
    Great libraries
  • 965
    Readable code
  • 848
    Beautiful code
  • 789
    Rapid development
  • 692
    Large community
  • 439
    Open source
  • 394
    Elegant
  • 283
    Great community
  • 274
    Object oriented
  • 222
    Dynamic typing
  • 78
    Great standard library
  • 62
    Very fast
  • 56
    Functional programming
  • 52
    Easy to learn
  • 47
    Scientific computing
  • 36
    Great documentation
  • 30
    Productivity
  • 29
    Matlab alternative
  • 29
    Easy to read
  • 25
    Simple is better than complex
  • 21
    It's the way I think
  • 20
    Imperative
  • 19
    Very programmer and non-programmer friendly
  • 19
    Free
  • 17
    Powerfull language
  • 17
    Machine learning support
  • 16
    Fast and simple
  • 14
    Scripting
  • 12
    Explicit is better than implicit
  • 11
    Ease of development
  • 10
    Clear and easy and powerfull
  • 9
    Unlimited power
  • 8
    It's lean and fun to code
  • 8
    Import antigravity
  • 7
    Print "life is short, use python"
  • 7
    Python has great libraries for data processing
  • 6
    Although practicality beats purity
  • 6
    Fast coding and good for competitions
  • 6
    There should be one-- and preferably only one --obvious
  • 6
    High Documented language
  • 6
    Readability counts
  • 6
    Rapid Prototyping
  • 6
    I love snakes
  • 6
    Now is better than never
  • 6
    Flat is better than nested
  • 6
    Great for tooling
  • 5
    Great for analytics
  • 5
    Web scraping
  • 5
    Lists, tuples, dictionaries
  • 4
    Complex is better than complicated
  • 4
    Socially engaged community
  • 4
    Plotting
  • 4
    Beautiful is better than ugly
  • 4
    Easy to learn and use
  • 4
    Easy to setup and run smooth
  • 4
    Simple and easy to learn
  • 4
    Multiple Inheritence
  • 4
    CG industry needs
  • 3
    List comprehensions
  • 3
    Powerful language for AI
  • 3
    Flexible and easy
  • 3
    It is Very easy , simple and will you be love programmi
  • 3
    Many types of collections
  • 3
    If the implementation is easy to explain, it may be a g
  • 3
    If the implementation is hard to explain, it's a bad id
  • 3
    Special cases aren't special enough to break the rules
  • 3
    Pip install everything
  • 3
    No cruft
  • 3
    Generators
  • 3
    Import this
  • 2
    Can understand easily who are new to programming
  • 2
    Securit
  • 2
    Should START with this but not STICK with This
  • 2
    A-to-Z
  • 2
    Because of Netflix
  • 2
    Only one way to do it
  • 2
    Better outcome
  • 2
    Good for hacking
  • 2
    Batteries included
  • 2
    Procedural programming
  • 1
    Sexy af
  • 1
    Automation friendly
  • 1
    Slow
  • 1
    Best friend for NLP
  • 0
    Powerful
  • 0
    Keep it simple
  • 0
    Ni
CONS OF PYTHON
  • 53
    Still divided between python 2 and python 3
  • 28
    Performance impact
  • 26
    Poor syntax for anonymous functions
  • 22
    GIL
  • 19
    Package management is a mess
  • 14
    Too imperative-oriented
  • 12
    Hard to understand
  • 12
    Dynamic typing
  • 12
    Very slow
  • 8
    Indentations matter a lot
  • 8
    Not everything is expression
  • 7
    Incredibly slow
  • 7
    Explicit self parameter in methods
  • 6
    Requires C functions for dynamic modules
  • 6
    Poor DSL capabilities
  • 6
    No anonymous functions
  • 5
    Fake object-oriented programming
  • 5
    Threading
  • 5
    The "lisp style" whitespaces
  • 5
    Official documentation is unclear.
  • 5
    Hard to obfuscate
  • 5
    Circular import
  • 4
    Lack of Syntax Sugar leads to "the pyramid of doom"
  • 4
    The benevolent-dictator-for-life quit
  • 4
    Not suitable for autocomplete
  • 2
    Meta classes
  • 1
    Training wheels (forced indentation)

related Python posts

Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M views

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

See more
Shared insights
on
TensorFlowTensorFlowDjangoDjangoPythonPython

Hi, I have an LMS application, currently developed in Python-Django.

It works all very well, students can view their classes and submit exams, but I have noticed that some students are sharing exam answers with other students and let's say they already have a model of the exams.

I want with the help of artificial intelligence, the exams to have different questions and in a different order for each student, what technology should I learn to develop something like this? I am a Python-Django developer but my focus is on web development, I have never touched anything from A.I.

What do you think about TensorFlow?

Please, I would appreciate all your ideas and opinions, thank you very much in advance.

See more
PowerShell logo

PowerShell

4.5K
0
A task automation and configuration management framework
4.5K
0
PROS OF POWERSHELL
    Be the first to leave a pro
    CONS OF POWERSHELL
      Be the first to leave a con

      related PowerShell posts

      Shared insights
      on
      PowerShellPowerShellPythonPython

      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.

      See more

      Objective: I am trying to build a custom service that will create VMs in Azure, based on inputs taken from a web interface. I want the backend code that interacts with Azure to be PowerShell.

      Ask: Hoping to find help with deciding the simplest architecture of tools to achieve this.

      What I have so far with my Limited Knowledge: I am new to Azure and Jenkins. I arrived at Jenkins coz it can run PowerShell and has API that can be called to trigger a job. Although integrating with it over the web seems problematic since its on-prem network. I hear it is possible using the VPN. For the Web, I hope to use Azure Web App with Python/Node.js that I can manage to make API calls to Jenkins.

      Is there a better way? I just need help getting the right directions; I will walk the way.

      See more
      JavaScript logo

      JavaScript

      372.4K
      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      372.4K
      8.1K
      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 899
        Fast
      • 746
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 237
        Ubiquitousness
      • 191
        Expressive
      • 55
        Extended functionality to web pages
      • 49
        Relatively easy language
      • 46
        Executed on the client side
      • 30
        Relatively fast to the end user
      • 25
        Pure Javascript
      • 21
        Functional programming
      • 15
        Async
      • 13
        Full-stack
      • 12
        Its everywhere
      • 12
        Future Language of The Web
      • 12
        Setup is easy
      • 11
        JavaScript is the New PHP
      • 11
        Because I love functions
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Everyone use it
      • 9
        Can be used in backend, frontend and DB
      • 9
        Easy
      • 9
        Expansive community
      • 8
        For the good parts
      • 8
        Easy to hire developers
      • 8
        No need to use PHP
      • 8
        Most Popular Language in the World
      • 8
        Powerful
      • 8
        Can be used both as frontend and backend as well
      • 7
        It's fun
      • 7
        Its fun and fast
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Agile, packages simple to use
      • 7
        Supports lambdas and closures
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 7
        Hard not to use
      • 7
        Versitile
      • 7
        Nice
      • 6
        Easy to make something
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 6
        1.6K Can be used on frontend/backend
      • 6
        Client side JS uses the visitors CPU to save Server Res
      • 6
        It let's me use Babel & Typescript
      • 5
        Clojurescript
      • 5
        Everywhere
      • 5
        Scope manipulation
      • 5
        Function expressions are useful for callbacks
      • 5
        Stockholm Syndrome
      • 5
        Promise relationship
      • 5
        Client processing
      • 5
        What to add
      • 4
        Because it is so simple and lightweight
      • 4
        Only Programming language on browser
      • 1
        Subskill #4
      • 1
        Test2
      • 1
        Easy to understand
      • 1
        Not the best
      • 1
        Easy to learn
      • 1
        Hard to learn
      • 1
        Easy to learn and test
      • 1
        Love it
      • 1
        Test
      • 0
        Hard 彤
      CONS OF JAVASCRIPT
      • 22
        A constant moving target, too much churn
      • 20
        Horribly inconsistent
      • 15
        Javascript is the New PHP
      • 9
        No ability to monitor memory utilitization
      • 8
        Shows Zero output in case of ANY error
      • 7
        Thinks strange results are better than errors
      • 6
        Can be ugly
      • 3
        No GitHub
      • 2
        Slow
      • 0
        HORRIBLE DOCUMENTS, faulty code, repo has bugs

      related JavaScript posts

      Zach Holman

      Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

      But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

      But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

      Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

      See more
      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 13.3M views

      How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

      Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

      Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

      https://eng.uber.com/distributed-tracing/

      (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

      Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

      See more
      AWK logo

      AWK

      560
      0
      A language for text processing, data extraction and reporting
      560
      0
      PROS OF AWK
        Be the first to leave a pro
        CONS OF AWK
          Be the first to leave a con

          related AWK posts