#Golang vs Python Developers

[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!

[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

[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)

[sdzxfcghgfdsa]

WEBSITE DESIGN COMPANY

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Golang Vs Python: Which Language Do You Need to Learn In 2023?

Golang Vs Python: Which Language Do You Need to Learn In 2023?

In 2023, programming languages are continuously evolving and adapting to the needs of the industry. Golang and Python are two of the most popular programming languages that developers use for building modern applications. Both languages have their unique features, strengths, and weaknesses. If you're wondering which language to learn in 2023, read on to understand the differences between Golang and Python.

Introduction to Golang and Python

Golang or Go is an open-source programming language developed by Google in 2007. It is a compiled language that emphasises simplicity, performance, and concurrency. Golang is widely used for building scalable web applications, network servers, and command-line tools.

Python, on the other hand, is a high-level programming language that was first released in 1991. It is an interpreted language that prioritizes readability and ease of use. Python is often used for web development, data analysis, machine learning, and scientific computing.

Syntax and Readability

Golang has a C-like syntax that is easy to read and understand. It has a strict syntax that emphasizes correct code formatting, making it less prone to errors. Golang's simplicity and readability make it easier to maintain large codebases.

Python, on the other hand, has a more natural syntax that resembles the English language. It uses indentation to denote code blocks, making it easy to read and write. Python's simplicity and readability make it an ideal language for beginners to learn. If you're looking for training in python, then you can check out our Python course in Bangalore.

Performance and Concurrency

Golang's performance is exceptional, thanks to its compiled nature and efficient memory management. It is designed to handle high levels of concurrency, making it an ideal language for building distributed systems and web applications that need to handle heavy traffic.

Python, on the other hand, is an interpreted language, which means it is slower than Golang in terms of performance. However, Python's ecosystem has several libraries and frameworks that can optimize its performance for specific use cases. Python's concurrency model relies on the Global Interpreter Lock (GIL), which can limit its performance in some cases.

Libraries and Frameworks

Both Golang and Python have vast libraries and frameworks that developers can leverage to build applications quickly. Golang's standard library has several built-in packages that make it easy to build network applications, handle data, and create APIs. Golang also has popular frameworks like Gin and Echo that simplify web application development.

Python's standard library has several modules that make it easy to handle data, manipulate files, and interact with databases. Python also has popular web frameworks like Django and Flask that simplify web application development. Python's ecosystem has several libraries and tools for machine learning, data science, and scientific computing.  If you're looking for training in react native, then you can check out our react native course in Bangalore.

Learning Curve and Community Support

Golang has a relatively steep learning curve compared to Python. Its strict syntax and emphasis on correct code formatting can make it challenging for beginners to get started. However, Golang has an active community that provides comprehensive documentation, tutorials, and examples.

Python, on the other hand, has a shallow learning curve that makes it easy for beginners to get started. Python's community is vast and supportive, with several online resources, tutorials, and forums available to help developers learn the language.

Conclusion

In conclusion, both Golang and Python have their unique strengths and weaknesses. Golang is an ideal language for building high-performance, scalable web applications and distributed systems. Python is an ideal language for web development, data analysis, machine learning, and scientific computing. Choosing the right language depends on your specific needs, goals, and preferences. If you're looking for a language that prioritizes performance and concurrency, Golang is an excellent choice. If you're looking for a language that prioritizes ease of use

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Go vs Python- Which one is best for Web Development - Python: Performance. Golang is fast, and since the language is compiled, the developers can interpret it faster. However, when it comes to Python, the language surely showed some problems in the case of concurrency but had fantastic results when it came to parallelism.  Being an active member of both communities, we are always ready to […] #ucollectinfographics #ucollect #alter #infographic #HirePythonDeveloper Read more: https://www.ucollectinfographics.info/?p=106694

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NodeJs Vs Golang

With regards to web improvement, there are many programming dialects to look over. Two of the most well known decision are NodeJS vs Golang . Things being what they are, which one would it be a good idea for you to use for your next project? Here is a presentation of Go and Hub in 2022 as the two of them are developing backend advancements.

Golang is a strong, statically-composed language that is not difficult to peruse and compose. It is quick and productive, settling on it an incredible decision for enormous tasks.

Then again, Node.js is a runtime that runs JavaScript, that is more flexible language that can be utilized for both front-end and back-end improvement. It is likewise somewhat simple to learn, and an enormous local area of engineers can browse.

Albeit both Golang and NodeJS are profoundly famous among the designer local area, the inquiry is, who wins the fight? To respond to this, here is a brief expressing the significant areas of differentiation between the two dialects. Peruse on to conclude which will end up being the best fit Go or Hub for your undertaking!

What is Golang? An Outline

Go is a statically composed programming language of Google. At first, Golang was made out of need. To be more exact, the advancement group at Google was discontent with their ongoing arrangements. Consequently, they fostered a language that would achieve a magnificent blend of the advantages of different dialects to perform better. Be that as it may, with time, Golang has certainly won hearts.

Golang is an open-source programming language. Its center design is based on Python's standards for speed and C for wellbeing. As of now, the most recent variant of the language is Golang 1.19.

Golang bargains in limited trash assortment, memory security highlights, primary composing, and extra key elements, accordingly forestalling lots of elements of present day programming dialects. Be that as it may, this is another justification for why Golang makes the code composing strategy more available and proficient.

Golang Reception and Accomplishments:

According to a study of Stack Flood 2020, Golang has gotten fifth position among the most cherished programming dialects.

Goroutines hold a quick startup time when contrasted with strings. This renders capacity to Golang to keep a flawless and clean source code.

According to Upwork the hourly pace of Golang designers is around $44.

Benefits of Golang

🟠 Simple and Quick

The above all else benefit of Golang is its speed. It needn't bother with a translator and can straightforwardly incorporated to machine code. With no center in the middle between, it brings about quicker back-end advancement. It likewise has a non-complex arrangement of codes, making it simple to execute and learn.

🟠 Local area Backing

However Golang has not been in that frame of mind for quite a while since its steady delivery in 2019, it actually has an immense local area of more than 1,000,000 dynamic designers accessible for any sort of help during the improvement cycle.

🟠 Thorough Instruments

Golang offers a large number of thorough instruments like an inbuilt testing structure that can create code inclusion reports, a linter, and numerous different instruments for static investigation and IDEs like Visual Studio Code which make it simpler for engineers to effectively work. Golang additionally has an inbuilt source arranging device (gofmt.)

🟠 Trash Assortment

Golang has programmed memory the board, permitting you to chip away at different parts of the improvement cycle without influencing the presentation.

Trash Assortment is a touch of worry for a couple of designers, yet the efficiency and results override this hiccup.

🟠 Similarity

Golang is created, keeping the previous issues into thought. In this way, the projects created in Golang have amazing in reverse similarity, and that implies the future variants of Golang will be viable with the applications created in the current rendition.

🟠 Adaptability

Golang has Goroutine capabilities that can run openly and simultaneously. They take just upto 2kB memory, making Golang adaptable when required. Goroutines are a mixture of JavaScript's async and Java's exemplary multi-stringing technique, empowering you to run various Goroutines without stressing over framework crashes, giving you an edge over contenders.

What is NodeJS? An Outline

NodeJS is a progressively composed (based on JavaScript) runtime climate that helps cover an entire web application improvement project under a solitary programming language. It is an open-source and cross-stage climate based on the V8 JavaScript motor of Chrome. NodeJS can run on numerous stages, including Linux, Windows, and Macintosh. Likewise, NodeJS gives an immense pool of libraries that smoothes out web application improvement.

At first, NodeJS was worked to run JavaScript code. Be that as it may, today NodeJS makes code for both backend and frontend improvement and server-side advancement of web applications, in this way making it a progressive and fruitful Web application programming language. At Bacancy, we offer 360-degree NodeJS advancement administrations to carry a development to your task back-end.

NodeJS Reception and Accomplishments:

Back in 2017 and 2018, NodeJS got in front of the pack among being the most consistently and regularly involved language in the Devices, Systems, and Library classification according to Tech Flood Review.

After taking on NodeJS, Netflix noticed a sensational 70% decrease in startup time.

According to W3Techs, around 1.5% of each and every notable site utilizes NodeJS.

Benefits of NodeJS

🟠 Superior Execution and Productivity

Node.js utilizes Chrome's V8 motor to decipher the code. It has single module reserving and occasion driven engineering, adding to simultaneous solicitations without influencing the Slam. Its occasion circle and I/O activities license quicker code execution, lessening reaction time and helping execution.

🟠 Cross-Stage Backing

Node.js empowers cross-stage application advancement. It works with you to run a solitary code on various stages with minor changes on a case by case basis.

🟠 Adaptability

Node.js has a solitary strung model with an occasion circle. This system helps servers in answering in a non-hindering way and advances versatility. The single-strung program can take special care of numerous solicitations simultaneously, which makes it exceptionally adaptable.

🟠 Bundles

NodeJS has a broad assortment of Node.js bundles, which are accessible for use for everybody being open-source. These bundles make the improvement quicker and simpler. NodeJS has in excess of 1,000,000 bundles in today NPM biological system.

🟠 Occasion Driven and Offbeat

NodeJS library has offbeat, non-impeding APIs, meaning the server can move to the accompanying Programming interface subsequent to calling one Programming interface. The reaction from the past Programming interface call is gotten through the warning component of occasions.

Start to finish Examination Among Golang and NodeJs

The Speed and Execution Examination Between Go versus Hub

With regards to execution and crude speed, Golang execution has a little edge over NodeJS execution. Golang requires no mediator and is straightforwardly collected into the machine code. This delivers a comparable degree of execution to Golang as low-level dialects like C++. With regards to IO activities, Golang is comparable to NodeJS.

NodeJS is barely following Golang regarding execution. The streamlined and further developed single-strung NodeJS improve the proficiency and the V8 JavaScript motor ensures that the application runs with no help or necessity of a mediator.

Decision: Both Golang and NodeJS are at standard in NodeJS versus Golang

Golang versus NodeJS Correlation In view of Adaptability and Simultaneousness Boundary

NodeJS oversees Simultaneousness with APIs like bunches, child_process, and worker_thread. These APIs ensure that NodeJS processes every one of the approaching solicitations dependably and consistently without moving into the bottlenecks.

Then again, Golang is created to deal with every simultaneous undertaking. Go engineers use GoRoutines to run their multi-strung capabilities. The brilliant side is, they don't go through much Smash. Every one of this makes Go a superior and solid up-and-comer in overseeing handling extraordinary and muddled undertakings without hurting and thinking twice about some other capabilities. Go beats Hub. js concerning adaptability.

Decision: Golang wins the skirmish of Go versus NodeJs simultaneousness and adaptability.

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Golang versus NodeJS for Mistake Dealing with

In a perfect world, greatest designers may be know about the Mistake Handling< strategy for NodeJS. It carries out the attempt get exemption where potential blunders are immediately caught and dealt with at the runtime. In any case, the cycle is marginally unique with Golang. Golang really takes a look at mistakes in an unmistakable way during runtime and gathering. While Arrangement blunders are generally language structure related and can be rectified in the code, runtime mistakes call for express taking care of. You really want to review the return worth of this capability physically. At present, studies are being improved taking care of cycles in the forthcoming form of Golang. Decision: Both NodeJS and Golang are comparable here. It's a TIE.

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

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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.

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Quick Summary:

Switching to a new language is a big step, specifically when only one of your mates has prior experience with that specific language. These days, most of the starred/forked codes at Github have various tags: categories seem to be written in GO language. 2 to 3 years back, it was a similar scenario with Python, but the game has changed.

This blog compares both these languages and provides you with a clarification as to which one will be ideal for your next project: Go vs Python in 2022.

Golang Vs Python For Web Development

In the technological world of web development, Agility is a king. Businesses are gaining a competitive edge by having their digital presence. However, on-demand web development does not fulfill the product’s requirements, as there is a special demand for seamless user experience and advanced usability. This is where one needs to adopt a more functional and advanced programming language with a modern server-side stack. Is it going to be Golang or Python? Find it out Go for web development or Python for backend.

Before beginning any new project, almost all of the development teams these days have to go through a series of meetings to decide which one is the best programming language for the software that they are going to develop. When it comes to this discussion, two of the most popular and used options are Python and Golang.

If we compare the Google trends of both these programming languages in the past year, here are the results.

Of course, Python is proven and here for a long time, so the difference in the graph. Go is quite new but has immense potential. Golang for Machine Learning is gaining good traction so far.

Go Vs Python For Machine Learning

Without a doubt, machine learning is the future but the doubt rises when you got to choose the ideal programming language for developing machine learning applications.

Earlier machine learning enthusiasts would always prefer Python because of its simplicity, consistency, established community, and exclusive libraries. However, the trend changed as Golang came into the picture.

Read more for Why Use Python for Machine Learning?

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Golang Vs. Python: Programming Languages Explained

Golang Vs. Python: Programming Languages Explained

When you are on board to kick off the new project, the team of developers goes over several meetings to decide the suitable language. However, selecting the best programming language will always be a crucial decision for custom software development services. Before moving further for any project, the development team discusses the requirements for their development project. Albeit, we have a…