#Golang vs Python

[hiringjournal]

Hiring a Golang Developer vs. a Python Developer: Which Is Better for Your Startup?

Every choice you make when starting a business is crucial, but hiring the right staff and using the right technology are particularly important. Since backend development is the foundation of your product, choosing the appropriate language and developer is not just a technical but also a strategic decision. 

Both Golang and Python have advantages over one another. However, one might be better suited for your needs based on speed, concurrency, simplicity, or scalability. This guide will assist you in making a decision based on the requirements of your startup if you are unsure whether to hire Python or Golang developers.

Speed vs. Flexibility: Choosing the Right Backend Language for Your Startup’s Success

Golang for Performance and Scalability

Google created Golang, commonly referred to as Go, to efficiently manage high-concurrency systems. Golang might be the best option for your firm if you're concentrating on creating performance-critical systems, such as streaming services, real-time APIs, or microservices.

Hiring Golang developers is an investment in speed. Because Go is statically typed and built, it executes more quickly and produces fewer runtime errors. Go is rapidly becoming the backend standard for tech businesses managing large-scale infrastructure or striving for cloud-native architecture.

Python for Flexibility and Rapid Development

In contrast, Python is the preferred language for automation, data science, artificial intelligence, and fast prototyping. It is easy for beginners to understand, legible, and backed by a vast library environment. Hiring Python developers makes sense if your firm has limited development resources or is focused on analytics or machine learning.

Python is a great choice for MVPs. You can quickly test features, iterate, and change course in response to user input. Although Python may not be as fast as Golang, many software companies find the flexibility it provides to be worth the trade-off.

Backend Talent: What to Prioritize

Evaluating their backend skills is crucial, regardless of whether you choose to work with Python specialists or Golang engineers. It is crucial to comprehend security protocols, database architecture, and API design. The way developers design and scale systems is just as important as syntax.

This is where when you hire backend developers they can address problems in any language. Before reducing their stack, some firms even hire multilingual developers to meet initial product demands.

Hiring Considerations for Startups

Hiring expenses are important for startups that are bootstrapped. Due to their greater availability, Python coders may be easier to locate and more reasonably priced. Though they are less common, Golang engineers frequently contribute high-performance knowledge that is perfect for long-term scalability.

Remember that while Golang's skill pool is still developing, both communities are expanding. Expect to work a little more if you decide to hire Golang developers, but the performance benefits can make the effort worthwhile.

Summary

There isn't a single, universal solution. Employ Python developers if you require quick development and adaptability. It's time to hire Golang developers if you are creating scalable backend systems with a focus on performance. Whichever option you use, make sure the developer's experience matches the objectives of your product.

An increasing number of software businesses are combining the two languages, utilizing Python where agility is important and Golang for applications that require speed. It all comes down to carefully and strategically laying the proper foundation.

[jenniferphilop0420]

Best Way to Build a Crypto Exchange: Cost, Time & Tech Guide

Introduction: Why Build a Crypto Exchange?

Ever thought of owning your own crypto exchange like Binance or Coinbase? With the crypto market booming and digital assets becoming mainstream, launching your own exchange might just be the golden ticket. Not only does it offer multiple revenue streams—like trading fees and token listings—but it also puts you at the heart of the fintech revolution. But here's the catch: building a crypto exchange isn’t just about coding. It’s about compliance, trust, tech, and timing. Let’s walk through the best way to build a crypto exchange step-by-step.

Understanding Crypto Exchanges

Before diving in, you need to understand what you’re building.

Centralized vs. Decentralized Exchanges

Centralized Exchanges (CEXs): These are managed by a company or authority. Think Binance or Kraken. They're faster and more user-friendly.

Decentralized Exchanges (DEXs): No middleman. Users trade directly from wallets (e.g., Uniswap). More privacy, but more complex tech and lower speed.

Key Features of a Successful Exchange

High Liquidity

Secure Wallets

User-friendly UI/UX

Robust KYC/AML

Multi-currency Support

24/7 Customer Support

These aren’t just nice-to-haves—they’re essential.

Step-by-Step Guide to Building a Crypto Exchange

Step 1: Market Research and Legal Compliance

Before writing a single line of code, do your homework.

Regulatory Landscape

Different countries, different rules. In the U.S., you’ll deal with the SEC and FinCEN. In Europe, it’s MiCA. Make sure you comply or risk being shut down.

Target Market Identification

Are you targeting beginners or seasoned traders? Focused on NFTs or DeFi tokens? Your audience defines your features.

Step 2: Choosing the Right Exchange Type

Spot Exchange vs. Derivatives Exchange

Spot Exchange: Buy/sell crypto at current prices. Easier to build.

Derivatives Exchange: Think futures, options—more complex, more regulations.

Hybrid Exchange Possibilities

Want the best of both worlds? Build a hybrid. It combines the liquidity and speed of CEXs with the anonymity and freedom of DEXs.

Step 3: Technology Stack and Architecture

Now, let’s talk tech.

Frontend and Backend Development

Frontend: Built using React.js, Angular, or Vue.js.

Backend: Node.js, Python (Django), or Golang are solid picks.

Database: PostgreSQL or MongoDB.

Cloud: AWS, Google Cloud, or Azure.

Security Infrastructure

Security is non-negotiable. Implement:

Cold Wallets for storage

2FA & Email confirmations

Anti-DDOS protection

Encryption of sensitive data

Step 4: Liquidity Management

No one wants to trade on a ghost town exchange. Partner with liquidity providers or connect to other exchanges via APIs to ensure buy/sell orders always have a match.

Step 5: User Interface & User Experience (UI/UX) Design

Make it clean, intuitive, and responsive. If your users can’t find the “Buy” button, they won’t stay.

Step 6: Integrating Wallets and Payment Systems

Add crypto wallets (hot and cold) and fiat gateways like Stripe, MoonPay, or bank wire support. The more options, the better.

Step 7: KYC/AML Compliance Integration

Use third-party KYC providers like SumSub or Jumio to automate verification. This builds trust and keeps you legal.

Step 8: Testing and Deployment

Before going live:

Run unit tests

Perform bug bounties

Penetration testing

Use sandbox environments

Don’t skip this—bugs in crypto = lost funds.

Cost Breakdown of Building a Crypto Exchange

Let’s talk numbers.

Development Costs

Basic Exchange (MVP): $50,000–$100,000

Advanced Platform: $150,000–$500,000+ This includes design, frontend/backend, mobile apps, and admin panel.

Licensing & Legal Fees

Depending on your jurisdiction:

Licensing: $10,000–$100,000+

Legal Consultancy: $5,000–$25,000

Security Infrastructure Costs

Budget for:

Penetration Testing: $5,000+

Cold Wallet Integration: $3,000–$10,000

DDoS Protection: Ongoing, $500+/month

Marketing and User Acquisition

Your tech is only as good as your users.

PR & Influencers: $10,000–$50,000

Ads & SEO: $5,000/month+

Affiliate Programs: Optional but effective

Timeframe to Launch a Crypto Exchange

How long does it take? Depends on your scope.

Fast-Track MVP: 3-4 Months

Ideal for startups looking to test the waters.

Full-Fledged Exchange: 6–12 Months

Includes all features, high scalability, robust support, and marketing rollout.

Choosing the Right Tech Partner or Development Company

Don’t try to do everything alone.

In-House vs. Outsourced Development

In-House: More control, higher cost.

Outsourced: Faster, affordable, but needs careful vetting.

Key Qualities of a Good Tech Partner

Proven portfolio in blockchain

Transparent pricing

Security-first mindset

Agile development process

Post-launch support

Challenges in Building a Crypto Exchange

It’s not all sunshine and rainbows.

Regulatory Uncertainty

Governments can change rules overnight. Always stay updated.

Security Concerns

Hackers love crypto exchanges. One breach can ruin your reputation.

Tips for Long-Term Success

Want to be the next Binance?

Focus on User Trust

Build transparency. Publish regular audits. Offer cold storage options.

Offer Competitive Fees and Rewards

Use referral programs, trading fee discounts, and token rewards to keep users loyal.

Conclusion

So, what’s the best way to build a crypto exchange? It boils down to balancing tech, trust, time, and talent. Start small, build a solid MVP, and expand with confidence. Stay compliant, invest in security, and never stop listening to your users. Whether you're building for traders, beginners, or institutions, your exchange could be the next big thing in crypto—if done right.

FAQs

1. How much does it cost to build a crypto exchange from scratch? The average cost ranges from $50,000 for an MVP to over $500,000 for a full-featured platform, including tech, legal, and marketing expenses.

2. How long does it take to launch a crypto exchange? A minimum viable product can take 3–4 months, while a comprehensive platform might take 6–12 months or more.

3. Is it legal to launch a crypto exchange? Yes, but it depends on the country. You must comply with local regulations and acquire necessary licenses.

4. Can I build a crypto exchange without coding knowledge? You’ll need a tech team or a development company unless you use white-label solutions, which are faster but offer less flexibility.

5. What are the biggest risks in running a crypto exchange? Security breaches, regulatory changes, and liquidity issues are the most significant risks to be prepared for.

[zenithive]

[justtryblockchain]

Key Technologies Behind a WazirX Crypto Exchange Clone Explained

1. Introduction

Cryptocurrency exchanges have become the backbone of the digital asset economy, providing seamless trading experiences for millions of users worldwide. Entrepreneurs seeking to enter this space often explore crypto exchange clone scripts, leveraging pre-built frameworks inspired by successful platforms like WazirX.

A WazirX clone app mimics the core functionalities of the original exchange while allowing customization to suit market needs. Selecting the right technology stack is crucial for ensuring scalability, security, and efficiency. This article delves into the critical technologies that power a WazirX-inspired trading platform, offering insights into the architecture, security measures, and regulatory considerations involved.

2. Core Architecture of a WazirX Clone App

The technological foundation of a crypto exchange clone script must support high-speed transactions, real-time data processing, and robust security mechanisms. The core architecture consists of:

Backend Technologies:

Node.js and Python are preferred for their asynchronous processing capabilities.

Go (Golang) is an emerging choice for its concurrency handling and efficiency in executing high-volume trades.

Frontend Frameworks:

React.js ensures a highly interactive and responsive user interface.

Angular and Vue.js offer flexibility in front-end development, enabling smooth navigation.

Database Solutions:

PostgreSQL and MySQL are widely used for structured trade and user data storage.

MongoDB allows for flexible, document-based storage ideal for managing unstructured data like logs and user preferences.

A well-structured tech stack enhances performance while ensuring reliability in high-load trading environments.

3. Blockchain Integration in a Crypto Exchange Clone Script

To facilitate smooth and transparent transactions, a crypto trading platform integrates blockchain technology in multiple ways:

Smart Contracts for Decentralized Trading:

These automate transactions without intermediaries, reducing operational costs.

Ethereum and Binance Smart Chain (BSC) smart contracts enable peer-to-peer trading with predefined execution conditions.

Multi-Currency Wallets and Blockchain Nodes:

A WazirX clone must support Bitcoin, Ethereum, and other altcoins via multi-wallet integration.

Running blockchain nodes ensures direct network interaction, reducing reliance on third-party services.

Liquidity API for Market Depth Enhancement:

Connecting to external liquidity providers ensures traders experience minimal slippage.

APIs from platforms like Binance and Kraken enable deep order books and seamless trade execution.

4. Security Measures for a Robust Trading Platform

Security remains the foremost concern in the cryptocurrency exchange ecosystem. A well-secured WazirX clone app incorporates:

End-to-End Encryption and SSL Protocols:

Encrypted communication protects sensitive user data from cyber threats.

SSL (Secure Socket Layer) ensures encrypted connections between servers and users.

Multi-Factor Authentication (MFA) for User Safety:

Combining SMS-based OTPs, Google Authenticator, and biometric logins enhances security layers.

Cold Wallet vs. Hot Wallet Storage Strategies:

Cold wallets (offline storage) secure large asset reserves against hacks.

Hot wallets (online storage) allow quick withdrawals but require strict security protocols.

A combination of these measures prevents unauthorized access and enhances platform reliability.

5. Trading Engine: The Heart of a Crypto Trading Platform

The trading engine is the nerve center of a cryptocurrency exchange, determining how orders are executed. Key components include:

Order Matching Algorithms for Trade Execution:

Price-time priority matching ensures fair order processing.

Algorithms like FIFO (First-In, First-Out) maintain efficiency in high-frequency trading environments.

High-Frequency Trading (HFT) Optimization:

Low-latency architecture supports algorithmic traders and institutional investors.

Co-location services reduce trade execution delays by hosting servers close to exchange infrastructure.

Market Making Bots and Automated Liquidity:

AI-driven bots provide liquidity and maintain narrow bid-ask spreads.

Market-making strategies ensure consistent trading volume, preventing price volatility.

A sophisticated trading engine enhances user trust and improves overall platform performance.

6. Compliance and Regulatory Considerations

Operating a cryptocurrency exchange requires adherence to global regulations and industry standards:

KYC/AML Implementation for Regulatory Adherence:

Identity verification processes prevent fraudulent activities and money laundering.

AI-powered KYC solutions enable real-time document verification and risk assessment.

GDPR and Data Protection Standards:

Exchanges handling European users must comply with GDPR, ensuring user data privacy.

Secure storage solutions and encrypted user records enhance compliance.

Legal Challenges and Regional Compliance:

Jurisdictions like the US and EU enforce stringent crypto regulations.

Understanding country-specific legal frameworks ensures seamless operations without legal hurdles.

Navigating the regulatory landscape ensures the longevity and credibility of a trading platform.

7. Future Trends in Crypto Exchange Development

The cryptocurrency exchange industry continues to evolve, with emerging technologies reshaping trading platforms:

AI-Powered Risk Management Systems:

Machine learning algorithms analyze trading patterns to detect fraudulent activities.

AI-driven trade analytics optimize risk mitigation strategies.

DeFi Integrations and Hybrid Exchange Models:

Hybrid models combine centralized exchange (CEX) liquidity with decentralized finance (DeFi) protocols.

Decentralized exchanges (DEXs) utilizing Automated Market Makers (AMMs) reduce counterparty risks.

The Rise of Decentralized Identity Verification:

Blockchain-based identity systems reduce reliance on traditional KYC mechanisms.

Zero-knowledge proofs (ZKPs) allow private verification without exposing user data.

Embracing these innovations positions new exchanges for long-term success in a competitive market.

Conclusion

Building a successful WazirX-style crypto exchange clone requires a deep understanding of technological frameworks, security protocols, and regulatory compliance. From smart contracts and liquidity APIs to advanced trading engines, each component plays a vital role in ensuring efficiency, security, and user satisfaction. As the crypto landscape evolves, staying ahead of technological advancements will be the key to sustained success.

[krunal-vyas]

Top Technologies to Hire Dedicated Developers in India

Hiring dedicated developers in India is a strategic decision for startups, SMBs, enterprises, and tech firms worldwide. India has established itself as a global leader in software development, offering a vast talent pool, cost-effective solutions, and expertise in cutting-edge technologies. Companies looking to hire dedicated developers in India benefit from affordability, expertise, and seamless collaboration with offshore development teams.

However, navigating the hiring landscape while balancing cost, quality, and project execution can be challenging. This guide will help you identify the best technologies to hire dedicated developers in India, explore the top platforms to find dedicated developers in India, and highlight cost-effective ways to hire Indian software developers.

Why India is a Leading Hub for Dedicated Developers

1) Large Talent Pool with Diverse Expertise:

India produces over 1.5 million engineering graduates annually, with expertise in full-stack development, cloud computing, AI, blockchain, and other emerging technologies. This ensures access to a diverse and highly skilled workforce, making it an attractive option to hire Indian software developers for various projects.

2) Cost-Effective Development Without Quality Compromise:

Hiring offshore developers in India can save businesses 40–70% compared to the USA, UK, or Europe, making it a practical option for companies operating under budget constraints.

3) Strong Educational Background & Technical Excellence:

Indian developers have a robust foundation in STEM (Science, Technology, Engineering, and Mathematics), enabling them to excel in problem-solving, software architecture, and complex coding. This makes it easier for companies to hire a dedicated development team in India that aligns with their project needs.

4) Supportive Government Policies & IT Infrastructure:

India’s IT-friendly policies, tax incentives, and world-class tech infrastructure make it a preferred offshore development hub, further boosting the demand for offshore developers in India.

Top Technologies for Hiring Dedicated Developers in India

1. Web Development Technologies

JavaScript Frameworks (React.js, Angular, Vue.js):

React.js — Best for fast, scalable UIs (used by Facebook, Instagram, Airbnb).

Angular — Ideal for enterprise-grade applications with robust architecture.

Vue.js — Lightweight and flexible, perfect for startups and dynamic web apps.

Backend Technologies:

Node.js — Best for real-time applications (used by Netflix, LinkedIn, PayPal).

PHP & Laravel — Cost-effective web development; Laravel ensures security & scalability.

Python & Django/Flask — Ideal for data-driven and high-security applications.

2. Mobile App Development Technologies

Cross-Platform Development:

Flutter — Single codebase for iOS & Android (used by Google Ads, Alibaba, BMW).

React Native — Developed by Facebook, ideal for hybrid mobile applications.

Native Mobile Development:

Swift — Apple’s preferred language for iOS development.

Kotlin — Google-backed, the standard for Android app development.

3. Enterprise & Backend Development Technologies

Java & Spring Boot — Scalable & secure enterprise applications (used in banking & healthcare).

.NET & C# — Best for Microsoft-based enterprise solutions.

Golang — High-performance backend development, cloud computing, AI, and microservices.

4. Emerging & Niche Technologies

Blockchain (Ethereum, Hyperledger) — Ideal for fintech, smart contracts, supply chain management.

AI & Machine Learning (TensorFlow, PyTorch) — Used for chatbots, automation, predictive analytics.

DevOps & Cloud (AWS, Azure, Kubernetes) — Ensures seamless CI/CD pipelines & automated deployments.

Cybersecurity — Essential for data protection and compliance.

Key Factors to Consider When Hiring Dedicated Developers in India

A. Cost & Budget Considerations:

Compare offshore vs. in-house costs.

Assess long-term ROI rather than just initial cost savings.

B. Quality & Skillset Assessment:

Verify developer expertise in relevant technologies.

Review portfolios, case studies, and previous client feedback.

C. Communication & Time Zone Management:

Ensure clear communication via Slack, Zoom, Jira, Trello.

Hire developers comfortable with Agile methodologies.

D. Project Management & Risk Mitigation:

Set clear milestones, deliverables, and quality assurance benchmarks.

Establish security protocols for protecting sensitive information.

Top Platforms to Find Dedicated Developers in India

1) Freelance Platforms:

Upwork, Fiverr — Ideal for short-term projects and independent developers.

2) Dedicated Hiring Platforms:

Turing, Toptal — Pre-vetted developers for high-quality, complex projects.

3) IT Outsourcing Companies & Agencies:

Best for businesses seeking long-term, scalable development teams with end-to-end project management.

4) Direct Recruitment via LinkedIn & Job Boards:

Perfect for startups and enterprises looking to hire full-time developers.

Advantages of Hiring Offshore Developers from India

Cost Savings — Businesses can reduce costs significantly by hiring Indian software developers.

Access to Skilled Talent — A vast pool of developers proficient in the latest technologies.

Scalability — Easily expand or downsize teams based on project needs.

Time Zone Advantage — 24/7 development cycle with overlapping work hours.

Strong Work Ethic — Indian developers are known for their commitment and problem-solving abilities.

How to Hire Dedicated Developers in India

Define Project Requirements — Clearly outline the technologies, skills, and experience needed.

Choose the Right Hiring Model — Decide between freelance, dedicated teams, or IT outsourcing.

Evaluate Developer Skills — Conduct coding tests, portfolio reviews, and technical interviews.

Ensure Smooth Onboarding — Set up communication channels and development workflows.

Conclusion:

Hiring dedicated developers in India is a smart choice for businesses looking to build high-quality software solutions while optimizing costs. With expertise in top technologies like web development, mobile app development, enterprise solutions, and emerging fields like AI and blockchain, India offers a vast talent pool to meet diverse project needs.

By carefully selecting the right technology stack, assessing developer skills, and choosing the best hiring platform, businesses can successfully scale their development teams and achieve long-term success.

Looking to hire dedicated developers in India? Partner with iQlance to get top-tier software developers specializing in web, mobile, and enterprise solutions. Build your dream team with expert developers tailored to your project needs. Contact us today to get started!

[swarnalata31techiio]

The difference between Golang and Python

Golang vs. Python:

Python is a high-level, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable. It often uses English keywords where other languages ​​use, such as punctuation, and has fewer syntactic constructions than other languages.

Golang is a well-known-purpose programming language regularly concept of as a competitor to python.Go is a procedural programming language. It was created in 2007 by Robert Griesemer, Rob Pike and Ken Thompson at Google but launched as an open-source programming language in 2009. Programs are combined using packages for efficient management of dependencies. This language also supports environment adoption pattern like dynamic language.

Python or Go – Which is faster for Web development?

While python isn't always very gradual to broaden websites, and it is a characteristic-wealthy language, but Golang comes across to be faster than python.

Golang is a respectable language to put in writing server-side scripts for excessive overall performance. Golang gives brief development cycles. Overall performance is the key, and Golang is a master of speed and overall performance.

Which is simpler to learn and work with?

Golang is a simple, clean to apprehend programming language with simple syntax. Although python also has a simple syntax, Golang is less complicated to examine and work with. Golang is based totally on the c programming language so that you can consider its clarity.

Golang came into lifestyles to clear up realistic troubles at google, and as a result, it's far more pragmatic. You don’t need to strain a good deal on language shape that allows you to create conventional websites and applications.

Which has better support for concurrency?

Python does not have built-in concurrency, while GO and Golang do have concurrency support. This is yet another plus point of using Golang for efficient development.

Which is safer?

Python 3.8.1 is a reasonably secure language to paintings with, but so is Golang. As Golang catches all mistakes and insects at the time of compilation, you may relaxation assured of type safety when operating with the passing language.

Which offers a better library or package support?

Python has a great number of libraries. Python is far greater abundant within the library than Golang, however, Golang has an amazing range of libraries for net improvement, encryption, and concurrent programming.

Golang has many built-in capabilities, and you would hardly ever need to depend upon other tools and libraries.

Which has a better Integrated Development environment?

Ide plays a crucial function in your improvement cycle; a good Ide may want to help you assemble quicker even as inefficient ones may want to prevent your productivity. That stated, Golang has a wonderful use of ide and debugging equipment for more rapid programming.

[botbark]

Top 5 differences between Python and Golang programming language

Top 5 differences between Python and Golang programming language

In this post we are going to discuss top 5 differences between Python and Golang programming language. Python Vs Golang Top 5 differences Python is an interpreted language while golang is a compiled language.As python is interpreted language, The python code has to be converted into a machine-readable form, by a program called interpreter, just before the time of execution. This makes python…

[jayniferson-blog]

Python Vs Go 

Read More - http://bit.ly/2sVTh2b

Go doesn't need a framework to run as a web app. In most cases, you will find built-in functionalities of Go is more better than Python for Web Development.

Hire Golang developers

[solaceinfotechpvtltd]

A Battle of Trios: Python vs Ruby vs Golang

Each programming language has its own different features, benefits, history, efficiency and popularity which are different from other programming languages. Therefore, choosing the perfect programming language for developing a software solution is a crucial part. For this, let’s compare three prime languages – Python vs Ruby vs Golang.

Python-

Python is an interpreted, high level, general purpose programming language. Its constructs and object oriented approach helps programmers to write clear and logical code for small to large projects. Python is a server-side scripting language which focus on simpler, crispier and high-performance codes.

Ruby-

It is an interpreted, high-level, scripted programming language. It supports multiple programming paradigms such as procedural, object-oriented and functional programming. Ruby has followed the motto of ‘don’t repeat yourself’, so it saves time and effort. It is a great language for rapid development and many popular social networking sites like Twitter. Ruby doesn’t need specification each time because the code has implicit behavior.

Golang-

Golang is a statically typed, compiled programming language that feels like a dynamically typed, interpreted language. It is designed at Google and is syntactically similar to C. Similarly, just like Python, there is a single way to do the right thing here. Golang is fast and also it allows programmers to control over memory usage at a certain limit. Many startups use Golang for its concurrency.

Comparison- Python vs Ruby vs Golang.1. Ways to do the right thing-

Python has always focused on ‘the best way to do it’ motto. So it offers simplicity over flexibility.

Ruby focused on ‘multiple ways of doing a single thing’. You can do things in multiple ways because of flexibility and freedom it offers.

Likewise Python, Golang has a single way to do the right thing.

2. Repetitive vs choice-

Python has automatic list expansion feature which is a plus point over the others. So it requires less code and less effort.

Ruby is more expressive than others.

Golang takes more line of code to do the same thing as compared to Python.

3. Speed-

Python and Ruby are slower than Golang. Golang has great built-in functionality.

Ruby and Python are slower as compared to Golang because Golang doesn’t need to be interpreted.

Golang has a standard library that contains a fully web server.

4. From beginner’s concern-

Python is considered as a great language to learn, if you already know any programming language.

Ruby and Python are great languages to run, only the previous takes up more memory for faster performance.

Golang code is to compile, just type go run mycode.go to compile. This makes it fast. For beginners, Golang is not efficient language.

5. Performance-

Python is used for development of desktop applications.

Ruby is ideal for creating tiny commercial projects, blogs, and personal pages. For complex solutions, Ruby is not very appropriate because its speed is slow and this will affect the satisfaction of demanding customers.

Golang is ideal for solving both simple and complex, multi-threaded tasks, which isn’t strange at all. Golang projects run faster than similar projects written in Ruby.

6. Community-

There are tens of thousands of Python developers. Companies such as YouTube, Instagram, Spotify, Reddit and BitTorrent used Python.

A single person developed Ruby language. Ruby has become less popular in the last couple of years. Besides that, many great companies such as Twitter, Shopify, Crunchbase has chosen Ruby.

Golang is designed by Google with its cloud infrastructures, supportive community, forums, tutorials and additional libraries that helps language to grow fast. One of the fastest-growing, loved and requested programming languages of recent years is Golang. Various companies like Docker, BBC, SoundCloud, Facebook, Dropbox, and even Medium adopted Go.

7. Compatibility-

Ruby has limited compatibility with most popular databases.

Golang is compatible with almost all databases as a server-side language.

Go is compatible with other languages, especially with the C- family languages.

Many programmers use Golang  in a bundle with different stacks like Python and Go or PHP and Go to improve general app performance.

8. Development Experience-

Programming in Python is more productive than other languages.

Ruby language is beneficial for use if you need rapid delivery of results and if the quality of performance is not that much important.

Golang is ideal for backend systems of any size and highly-scalable network servers. It provides you with fast and high-quality performance and good compatibility with other technologies.

Need to develop a best software product for your business? Solace have a dedicated team which is expert in new programming languages like Python, Ruby and Golang. Develop your software product with Solace that will give a remarkable growth to your business. Connect with us for effective product development using modern programming languages.

[djangodeveloper]

Difference Between Golang Vs. Python ☞ https://bit.ly/3j5YQjq #python #programming

[pythonfan-blog]

Python vs. Golang : Which is the better language in 2020 http://bit.ly/2wuWyHz #python #golang #progamming

[iamcodegeek]

Go vs Python: The Best For Your Business ☞ https://morioh.com/p/66f1215c2e58 #Python #Go #Golang #Morioh

[zenithive]

Golang vs. Python vs. Node.js: Which One Should You Choose for Web Development?

[hydralisk98]

hydralisk98′s web projects tracker:

Core principles=

Fail faster

‘Learn, Tweak, Make’ loop

This is meant to be a quick reference for tracking progress made over my various projects, organized by their “ultimate target” goal:

(START)

(Website)=

Install Firefox

Install Chrome

Install Microsoft newest browser

Install Lynx

Learn about contemporary web browsers

Install a very basic text editor

Install Notepad++

Install Nano

Install Powershell

Install Bash

Install Git

Learn HTML

Elements and attributes

Commenting (single line comment, multi-line comment)

Head (title, meta, charset, language, link, style, description, keywords, author, viewport, script, base, url-encode, )

Hyperlinks (local, external, link titles, relative filepaths, absolute filepaths)

Headings (h1-h6, horizontal rules)

Paragraphs (pre, line breaks)

Text formatting (bold, italic, deleted, inserted, subscript, superscript, marked)

Quotations (quote, blockquote, abbreviations, address, cite, bidirectional override)

Entities & symbols (&entity_name, &entity_number, &nbsp, useful HTML character entities, diacritical marks, mathematical symbols, greek letters, currency symbols, )

Id (bookmarks)

Classes (select elements, multiple classes, different tags can share same class, )

Blocks & Inlines (div, span)

Computercode (kbd, samp, code, var)

Lists (ordered, unordered, description lists, control list counting, nesting)

Tables (colspan, rowspan, caption, colgroup, thead, tbody, tfoot, th)

Images (src, alt, width, height, animated, link, map, area, usenmap, , picture, picture for format support)

old fashioned audio

old fashioned video

Iframes (URL src, name, target)

Forms (input types, action, method, GET, POST, name, fieldset, accept-charset, autocomplete, enctype, novalidate, target, form elements, input attributes)

URL encode (scheme, prefix, domain, port, path, filename, ascii-encodings)

Learn about oldest web browsers onwards

Learn early HTML versions (doctypes & permitted elements for each version)

Make a 90s-like web page compatible with as much early web formats as possible, earliest web browsers’ compatibility is best here

Learn how to teach HTML5 features to most if not all older browsers

Install Adobe XD

Register a account at Figma

Learn Adobe XD basics

Learn Figma basics

Install Microsoft’s VS Code

Install my Microsoft’s VS Code favorite extensions

Learn HTML5

Semantic elements

Layouts

Graphics (SVG, canvas)

Track

Audio

Video

Embed

APIs (geolocation, drag and drop, local storage, application cache, web workers, server-sent events, )

HTMLShiv for teaching older browsers HTML5

HTML5 style guide and coding conventions (doctype, clean tidy well-formed code, lower case element names, close all html elements, close empty html elements, quote attribute values, image attributes, space and equal signs, avoid long code lines, blank lines, indentation, keep html, keep head, keep body, meta data, viewport, comments, stylesheets, loading JS into html, accessing HTML elements with JS, use lowercase file names, file extensions, index/default)

Learn CSS

Selections

Colors

Fonts

Positioning

Box model

Grid

Flexbox

Custom properties

Transitions

Animate

Make a simple modern static site

Learn responsive design

Viewport

Media queries

Fluid widths

rem units over px

Mobile first

Learn SASS

Variables

Nesting

Conditionals

Functions

Learn about CSS frameworks

Learn Bootstrap

Learn Tailwind CSS

Learn JS

Fundamentals

Document Object Model / DOM

JavaScript Object Notation / JSON

Fetch API

Modern JS (ES6+)

Learn Git

Learn Browser Dev Tools

Learn your VS Code extensions

Learn Emmet

Learn NPM

Learn Yarn

Learn Axios

Learn Webpack

Learn Parcel

Learn basic deployment

Domain registration (Namecheap)

Managed hosting (InMotion, Hostgator, Bluehost)

Static hosting (Nertlify, Github Pages)

SSL certificate

FTP

SFTP

SSH

CLI

Make a fancy front end website about 

Make a few Tumblr themes

===You are now a basic front end developer!

Learn about XML dialects

Learn XML

Learn about JS frameworks

Learn jQuery

Learn React

Contex API with Hooks

NEXT

Learn Vue.js

Vuex

NUXT

Learn Svelte

NUXT (Vue)

Learn Gatsby

Learn Gridsome

Learn Typescript

Make a epic front end website about 

===You are now a front-end wizard!

Learn Node.js

Express

Nest.js

Koa

Learn Python

Django

Flask

Learn GoLang

Revel

Learn PHP

Laravel

Slim

Symfony

Learn Ruby

Ruby on Rails

Sinatra

Learn SQL

PostgreSQL

MySQL

Learn ORM

Learn ODM

Learn NoSQL

MongoDB

RethinkDB

CouchDB

Learn a cloud database

Firebase, Azure Cloud DB, AWS

Learn a lightweight & cache variant

Redis

SQLlite

NeDB

Learn GraphQL

Learn about CMSes

Learn Wordpress

Learn Drupal

Learn Keystone

Learn Enduro

Learn Contentful

Learn Sanity

Learn Jekyll

Learn about DevOps

Learn NGINX

Learn Apache

Learn Linode

Learn Heroku

Learn Azure

Learn Docker

Learn testing

Learn load balancing

===You are now a good full stack developer

Learn about mobile development

Learn Dart

Learn Flutter

Learn React Native

Learn Nativescript

Learn Ionic

Learn progressive web apps

Learn Electron

Learn JAMstack

Learn serverless architecture

Learn API-first design

Learn data science

Learn machine learning

Learn deep learning

Learn speech recognition

Learn web assembly

===You are now a epic full stack developer

Make a web browser

Make a web server

===You are now a legendary full stack developer

[...]

(Computer system)=

Learn to execute and test your code in a command line interface

Learn to use breakpoints and debuggers

Learn Bash

Learn fish

Learn Zsh

Learn Vim

Learn nano

Learn Notepad++

Learn VS Code

Learn Brackets

Learn Atom

Learn Geany

Learn Neovim

Learn Python

Learn Java?

Learn R

Learn Swift?

Learn Go-lang?

Learn Common Lisp

Learn Clojure (& ClojureScript)

Learn Scheme

Learn C++

Learn C

Learn B

Learn Mesa

Learn Brainfuck

Learn Assembly

Learn Machine Code

Learn how to manage I/O

Make a keypad

Make a keyboard

Make a mouse

Make a light pen

Make a small LCD display

Make a small LED display

Make a teleprinter terminal

Make a medium raster CRT display

Make a small vector CRT display

Make larger LED displays

Make a few CRT displays

Learn how to manage computer memory

Make datasettes

Make a datasette deck

Make floppy disks

Make a floppy drive

Learn how to control data

Learn binary base

Learn hexadecimal base

Learn octal base

Learn registers

Learn timing information

Learn assembly common mnemonics

Learn arithmetic operations

Learn logic operations (AND, OR, XOR, NOT, NAND, NOR, NXOR, IMPLY)

Learn masking

Learn assembly language basics

Learn stack construct’s operations

Learn calling conventions

Learn to use Application Binary Interface or ABI

Learn to make your own ABIs

Learn to use memory maps

Learn to make memory maps

Make a clock

Make a front panel

Make a calculator

Learn about existing instruction sets (Intel, ARM, RISC-V, PIC, AVR, SPARC, MIPS, Intersil 6120, Z80...)

Design a instruction set

Compose a assembler

Compose a disassembler

Compose a emulator

Write a B-derivative programming language (somewhat similar to C)

Write a IPL-derivative programming language (somewhat similar to Lisp and Scheme)

Write a general markup language (like GML, SGML, HTML, XML...)

Write a Turing tarpit (like Brainfuck)

Write a scripting language (like Bash)

Write a database system (like VisiCalc or SQL)

Write a CLI shell (basic operating system like Unix or CP/M)

Write a single-user GUI operating system (like Xerox Star’s Pilot)

Write a multi-user GUI operating system (like Linux)

Write various software utilities for my various OSes

Write various games for my various OSes

Write various niche applications for my various OSes

Implement a awesome model in very large scale integration, like the Commodore CBM-II

Implement a epic model in integrated circuits, like the DEC PDP-15

Implement a modest model in transistor-transistor logic, similar to the DEC PDP-12

Implement a simple model in diode-transistor logic, like the original DEC PDP-8

Implement a simpler model in later vacuum tubes, like the IBM 700 series

Implement simplest model in early vacuum tubes, like the EDSAC

[...]

(Conlang)=

Choose sounds

Choose phonotactics

[...]

(Animation ‘movie’)=

[...]

(Exploration top-down ’racing game’)=

[...]

(Video dictionary)=

[...]

(Grand strategy game)=

[...]

(Telex system)=

[...]

(Pen&paper tabletop game)=

[...]

(Search engine)=

[...]

(Microlearning system)=

[...]

(Alternate planet)=

[...]

(END)