#rest api authentication

[robomad]

Django REST Framework: Authentication and Permissions

Secure Your Django API: Authentication and Permissions with DRF

Introduction Django REST Framework (DRF) is a powerful toolkit for building Web APIs in Django. One of its key features is the ability to handle authentication and permissions, ensuring that your API endpoints are secure and accessible only to authorized users. This article will guide you through setting up authentication and permissions in DRF, including examples and…

[chronic-crassicaudiosis]

Wish me luck tomorrow with my exam

[rajaniesh]

Boost Productivity with Databricks CLI: A Comprehensive Guide

Exciting news! The Databricks CLI has undergone a remarkable transformation, becoming a full-blown revolution. Now, it covers all Databricks REST API operations and supports every Databricks authentication type.

Exciting news! The Databricks CLI has undergone a remarkable transformation, becoming a full-blown revolution. Now, it covers all Databricks REST API operations and supports every Databricks authentication type. The best part? Windows users can join in on the exhilarating journey and install the new CLI with Homebrew, just like macOS and Linux users. This blog aims to provide comprehensive…

[fujowebdev]

Streaming today!

Come witness @essential-randomness tackle a new project: building her consulting resume on her Astro website as she revamps her worksona for her next era (The One With a Job™).

Twitch Link

The idea of this series is to approach it like a "build in public" project: what does it take to go from individual contributor, to open source project(s) lead, to consultant? Let's (hopefully) find out together!

Also, small update on LAST WEEK's work: the bobabot discord example now refreshes the authentication token, making it fully possible to host your own Discord bot that posts to a BobaBoard instance!

See the bot here And see it being built (and learn about REST APIs) in last week's video!

[aktechworld]

Integrating Third-Party Tools into Your CRM System: Best Practices

A modern CRM is rarely a standalone tool — it works best when integrated with your business's key platforms like email services, accounting software, marketing tools, and more. But improper integration can lead to data errors, system lags, and security risks.

Here are the best practices developers should follow when integrating third-party tools into CRM systems:

1. Define Clear Integration Objectives

Identify business goals for each integration (e.g., marketing automation, lead capture, billing sync)

Choose tools that align with your CRM’s data model and workflows

Avoid unnecessary integrations that create maintenance overhead

2. Use APIs Wherever Possible

Rely on RESTful or GraphQL APIs for secure, scalable communication

Avoid direct database-level integrations that break during updates

Choose platforms with well-documented and stable APIs

Custom CRM solutions can be built with flexible API gateways

3. Data Mapping and Standardization

Map data fields between systems to prevent mismatches

Use a unified format for customer records, tags, timestamps, and IDs

Normalize values like currencies, time zones, and languages

Maintain a consistent data schema across all tools

4. Authentication and Security

Use OAuth2.0 or token-based authentication for third-party access

Set role-based permissions for which apps access which CRM modules

Monitor access logs for unauthorized activity

Encrypt data during transfer and storage

5. Error Handling and Logging

Create retry logic for API failures and rate limits

Set up alert systems for integration breakdowns

Maintain detailed logs for debugging sync issues

Keep version control of integration scripts and middleware

6. Real-Time vs Batch Syncing

Use real-time sync for critical customer events (e.g., purchases, support tickets)

Use batch syncing for bulk data like marketing lists or invoices

Balance sync frequency to optimize server load

Choose integration frequency based on business impact

7. Scalability and Maintenance

Build integrations as microservices or middleware, not monolithic code

Use message queues (like Kafka or RabbitMQ) for heavy data flow

Design integrations that can evolve with CRM upgrades

Partner with CRM developers for long-term integration strategy

CRM integration experts can future-proof your ecosystem

[oliverethanrobin]

Crypto Exchange API Integration: Simplifying and Enhancing Trading Efficiency

The cryptocurrency trading landscape is fast-paced, requiring seamless processes and real-time data access to ensure traders stay ahead of market movements. To meet these demands, Crypto Exchange APIs (Application Programming Interfaces) have emerged as indispensable tools for developers and businesses, streamlining trading processes and improving user experience.

APIs bridge the gap between users, trading platforms, and blockchain networks, enabling efficient operations like order execution, wallet integration, and market data retrieval. This blog dives into the importance of crypto exchange API integration, its benefits, and how businesses can leverage it to create feature-rich trading platforms.

What is a Crypto Exchange API?

A Crypto Exchange API is a software interface that enables seamless communication between cryptocurrency trading platforms and external applications. It provides developers with access to various functionalities, such as real-time price tracking, trade execution, and account management, allowing them to integrate these features into their platforms.

Types of Crypto Exchange APIs:

REST APIs: Used for simple, one-time data requests (e.g., fetching market data or placing a trade).

WebSocket APIs: Provide real-time data streaming for high-frequency trading and live updates.

FIX APIs (Financial Information Exchange): Designed for institutional-grade trading with high-speed data transfers.

Key Benefits of Crypto Exchange API Integration

1. Real-Time Market Data Access

APIs provide up-to-the-second updates on cryptocurrency prices, trading volumes, and order book depth, empowering traders to make informed decisions.

Use Case:

Developers can build dashboards that display live market trends and price movements.

2. Automated Trading

APIs enable algorithmic trading by allowing users to execute buy and sell orders based on predefined conditions.

Use Case:

A trading bot can automatically place orders when specific market criteria are met, eliminating the need for manual intervention.

3. Multi-Exchange Connectivity

Crypto APIs allow platforms to connect with multiple exchanges, aggregating liquidity and providing users with the best trading options.

Use Case:

Traders can access a broader range of cryptocurrencies and trading pairs without switching between platforms.

4. Enhanced User Experience

By integrating APIs, businesses can offer features like secure wallet connections, fast transaction processing, and detailed analytics, improving the overall user experience.

Use Case:

Users can track their portfolio performance in real-time and manage assets directly through the platform.

5. Increased Scalability

API integration allows trading platforms to handle a higher volume of users and transactions efficiently, ensuring smooth operations during peak trading hours.

Use Case:

Exchanges can scale seamlessly to accommodate growth in user demand.

Essential Features of Crypto Exchange API Integration

1. Trading Functionality

APIs must support core trading actions, such as placing market and limit orders, canceling trades, and retrieving order statuses.

2. Wallet Integration

Securely connect wallets for seamless deposits, withdrawals, and balance tracking.

3. Market Data Access

Provide real-time updates on cryptocurrency prices, trading volumes, and historical data for analysis.

4. Account Management

Allow users to manage their accounts, view transaction history, and set preferences through the API.

5. Security Features

Integrate encryption, two-factor authentication (2FA), and API keys to safeguard user data and funds.

Steps to Integrate Crypto Exchange APIs

1. Define Your Requirements

Determine the functionalities you need, such as trading, wallet integration, or market data retrieval.

2. Choose the Right API Provider

Select a provider that aligns with your platform’s requirements. Popular providers include:

Binance API: Known for real-time data and extensive trading options.

Coinbase API: Ideal for wallet integration and payment processing.

Kraken API: Offers advanced trading tools for institutional users.

3. Implement API Integration

Use REST APIs for basic functionalities like fetching market data.

Implement WebSocket APIs for real-time updates and faster trading processes.

4. Test and Optimize

Conduct thorough testing to ensure the API integration performs seamlessly under different scenarios, including high traffic.

5. Launch and Monitor

Deploy the integrated platform and monitor its performance to address any issues promptly.

Challenges in Crypto Exchange API Integration

1. Security Risks

APIs are vulnerable to breaches if not properly secured. Implement robust encryption, authentication, and monitoring tools to mitigate risks.

2. Latency Issues

High latency can disrupt real-time trading. Opt for APIs with low latency to ensure a smooth user experience.

3. Regulatory Compliance

Ensure the integration adheres to KYC (Know Your Customer) and AML (Anti-Money Laundering) regulations.

The Role of Crypto Exchange Platform Development Services

Partnering with a professional crypto exchange platform development service ensures your platform leverages the full potential of API integration.

What Development Services Offer:

Custom API Solutions: Tailored to your platform’s specific needs.

Enhanced Security: Implementing advanced security measures like API key management and encryption.

Real-Time Capabilities: Optimizing APIs for high-speed data transfers and trading.

Regulatory Compliance: Ensuring the platform meets global legal standards.

Scalability: Building infrastructure that grows with your user base and transaction volume.

Real-World Examples of Successful API Integration

1. Binance

Features: Offers REST and WebSocket APIs for real-time market data and trading.

Impact: Enables developers to build high-performance trading bots and analytics tools.

2. Coinbase

Features: Provides secure wallet management APIs and payment processing tools.

Impact: Streamlines crypto payments and wallet integration for businesses.

3. Kraken

Features: Advanced trading APIs for institutional and professional traders.

Impact: Supports multi-currency trading with low-latency data feeds.

Conclusion

Crypto exchange API integration is a game-changer for businesses looking to streamline trading processes and enhance user experience. From enabling real-time data access to automating trades and managing wallets, APIs unlock endless possibilities for innovation in cryptocurrency trading platforms.

By partnering with expert crypto exchange platform development services, you can ensure secure, scalable, and efficient API integration tailored to your platform’s needs. In the ever-evolving world of cryptocurrency, seamless API integration is not just an advantage—it’s a necessity for staying ahead of the competition.

Are you ready to take your crypto exchange platform to the next level?

[govindhtech]

What is Argo CD? And When Was Argo CD Established?

What Is Argo CD?

Argo CD is declarative Kubernetes GitOps continuous delivery.

In DevOps, ArgoCD is a Continuous Delivery (CD) technology that has become well-liked for delivering applications to Kubernetes. It is based on the GitOps deployment methodology.

When was Argo CD Established?

Argo CD was created at Intuit and made publicly available following Applatix’s 2018 acquisition by Intuit. The founding developers of Applatix, Hong Wang, Jesse Suen, and Alexander Matyushentsev, made the Argo project open-source in 2017.

Why Argo CD?

Declarative and version-controlled application definitions, configurations, and environments are ideal. Automated, auditable, and easily comprehensible application deployment and lifecycle management are essential.

Getting Started

Quick Start

kubectl create namespace argocd kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

For some features, more user-friendly documentation is offered. Refer to the upgrade guide if you want to upgrade your Argo CD. Those interested in creating third-party connectors can access developer-oriented resources.

How it works

Argo CD defines the intended application state by employing Git repositories as the source of truth, in accordance with the GitOps pattern. There are various approaches to specify Kubernetes manifests:

Applications for Customization

Helm charts

JSONNET files

Simple YAML/JSON manifest directory

Any custom configuration management tool that is set up as a plugin

The deployment of the intended application states in the designated target settings is automated by Argo CD. Deployments of applications can monitor changes to branches, tags, or pinned to a particular manifest version at a Git commit.

Architecture

The implementation of Argo CD is a Kubernetes controller that continually observes active apps and contrasts their present, live state with the target state (as defined in the Git repository). Out Of Sync is the term used to describe a deployed application whose live state differs from the target state. In addition to reporting and visualizing the differences, Argo CD offers the ability to manually or automatically sync the current state back to the intended goal state. The designated target environments can automatically apply and reflect any changes made to the intended target state in the Git repository.

Components

API Server

The Web UI, CLI, and CI/CD systems use the API, which is exposed by the gRPC/REST server. Its duties include the following:

Status reporting and application management

Launching application functions (such as rollback, sync, and user-defined actions)

Cluster credential management and repository (k8s secrets)

RBAC enforcement

Authentication, and auth delegation to outside identity providers

Git webhook event listener/forwarder

Repository Server

An internal service called the repository server keeps a local cache of the Git repository containing the application manifests. When given the following inputs, it is in charge of creating and returning the Kubernetes manifests:

URL of the repository

Revision (tag, branch, commit)

Path of the application

Template-specific configurations: helm values.yaml, parameters

A Kubernetes controller known as the application controller keeps an eye on all active apps and contrasts their actual, live state with the intended target state as defined in the repository. When it identifies an Out Of Sync application state, it may take remedial action. It is in charge of calling any user-specified hooks for lifecycle events (Sync, PostSync, and PreSync).

Features

Applications are automatically deployed to designated target environments.

Multiple configuration management/templating tools (Kustomize, Helm, Jsonnet, and plain-YAML) are supported.

Capacity to oversee and implement across several clusters

Integration of SSO (OIDC, OAuth2, LDAP, SAML 2.0, Microsoft, LinkedIn, GitHub, GitLab)

RBAC and multi-tenancy authorization policies

Rollback/Roll-anywhere to any Git repository-committed application configuration

Analysis of the application resources’ health state

Automated visualization and detection of configuration drift

Applications can be synced manually or automatically to their desired state.

Web user interface that shows program activity in real time

CLI for CI integration and automation

Integration of webhooks (GitHub, BitBucket, GitLab)

Tokens of access for automation

Hooks for PreSync, Sync, and PostSync to facilitate intricate application rollouts (such as canary and blue/green upgrades)

Application event and API call audit trails

Prometheus measurements

To override helm parameters in Git, use parameter overrides.

Read more on Govindhtech.com

[pentesttestingcorp]

SQL Injection in RESTful APIs: Identify and Prevent Vulnerabilities

SQL Injection (SQLi) in RESTful APIs: What You Need to Know

RESTful APIs are crucial for modern applications, enabling seamless communication between systems. However, this convenience comes with risks, one of the most common being SQL Injection (SQLi). In this blog, we’ll explore what SQLi is, its impact on APIs, and how to prevent it, complete with a practical coding example to bolster your understanding.

What Is SQL Injection?

SQL Injection is a cyberattack where an attacker injects malicious SQL statements into input fields, exploiting vulnerabilities in an application's database query execution. When it comes to RESTful APIs, SQLi typically targets endpoints that interact with databases.

How Does SQL Injection Affect RESTful APIs?

RESTful APIs are often exposed to public networks, making them prime targets. Attackers exploit insecure endpoints to:

Access or manipulate sensitive data.

Delete or corrupt databases.

Bypass authentication mechanisms.

Example of a Vulnerable API Endpoint

Consider an API endpoint for retrieving user details based on their ID:

from flask import Flask, request import sqlite3

app = Flask(name)

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = f"SELECT * FROM users WHERE id = {user_id}" # Vulnerable to SQLi cursor.execute(query) result = cursor.fetchone() return {'user': result}, 200

if name == 'main': app.run(debug=True)

Here, the endpoint directly embeds user input (user_id) into the SQL query without validation, making it vulnerable to SQL Injection.

Secure API Endpoint Against SQLi

To prevent SQLi, always use parameterized queries:

@app.route('/user', methods=['GET']) def get_user(): user_id = request.args.get('id') conn = sqlite3.connect('database.db') cursor = conn.cursor() query = "SELECT * FROM users WHERE id = ?" cursor.execute(query, (user_id,)) result = cursor.fetchone() return {'user': result}, 200

In this approach, the user input is sanitized, eliminating the risk of malicious SQL execution.

How Our Free Tool Can Help

Our free Website Security Checker your web application for vulnerabilities, including SQL Injection risks. Below is a screenshot of the tool's homepage:

Upload your website details to receive a comprehensive vulnerability assessment report, as shown below:

These tools help identify potential weaknesses in your APIs and provide actionable insights to secure your system.

Preventing SQLi in RESTful APIs

Here are some tips to secure your APIs:

Use Prepared Statements: Always parameterize your queries.

Implement Input Validation: Sanitize and validate user input.

Regularly Test Your APIs: Use tools like ours to detect vulnerabilities.

Least Privilege Principle: Restrict database permissions to minimize potential damage.

Final Thoughts

SQL Injection is a pervasive threat, especially in RESTful APIs. By understanding the vulnerabilities and implementing best practices, you can significantly reduce the risks. Leverage tools like our free Website Security Checker to stay ahead of potential threats and secure your systems effectively.

Explore our tool now for a quick Website Security Check.

[zerosecurity]

Critical Vulnerability (CVE-2024-37032) in Ollama

Researchers have discovered a critical vulnerability in Ollama, a widely used open-source project for running Large Language Models (LLMs). The flaw, dubbed "Probllama" and tracked as CVE-2024-37032, could potentially lead to remote code execution, putting thousands of users at risk.

What is Ollama?

Ollama has gained popularity among AI enthusiasts and developers for its ability to perform inference with compatible neural networks, including Meta's Llama family, Microsoft's Phi clan, and models from Mistral. The software can be used via a command line or through a REST API, making it versatile for various applications. With hundreds of thousands of monthly pulls on Docker Hub, Ollama's widespread adoption underscores the potential impact of this vulnerability.

The Nature of the Vulnerability

The Wiz Research team, led by Sagi Tzadik, uncovered the flaw, which stems from insufficient validation on the server side of Ollama's REST API. An attacker could exploit this vulnerability by sending a specially crafted HTTP request to the Ollama API server. The risk is particularly high in Docker installations, where the API server is often publicly exposed. Technical Details of the Exploit The vulnerability specifically affects the `/api/pull` endpoint, which allows users to download models from the Ollama registry and private registries. Researchers found that when pulling a model from a private registry, it's possible to supply a malicious manifest file containing a path traversal payload in the digest field. This payload can be used to: - Corrupt files on the system - Achieve arbitrary file read - Execute remote code, potentially hijacking the system The issue is particularly severe in Docker installations, where the server runs with root privileges and listens on 0.0.0.0 by default, enabling remote exploitation. As of June 10, despite a patched version being available for over a month, more than 1,000 vulnerable Ollama server instances remained exposed to the internet.

Mitigation Strategies

To protect AI applications using Ollama, users should: - Update instances to version 0.1.34 or newer immediately - Implement authentication measures, such as using a reverse proxy, as Ollama doesn't inherently support authentication - Avoid exposing installations to the internet - Place servers behind firewalls and only allow authorized internal applications and users to access them

Broader Implications for AI and Cybersecurity

This vulnerability highlights ongoing challenges in the rapidly evolving field of AI tools and infrastructure. Tzadik noted that the critical issue extends beyond individual vulnerabilities to the inherent lack of authentication support in many new AI tools. He referenced similar remote code execution vulnerabilities found in other LLM deployment tools like TorchServe and Ray Anyscale. Moreover, despite these tools often being written in modern, safety-first programming languages, classic vulnerabilities such as path traversal remain a persistent threat. This underscores the need for continued vigilance and robust security practices in the development and deployment of AI technologies. Read the full article

[edutech-brijesh]

Best Practices for Designing RESTful Services

RESTful services are integral to modern web applications, enabling seamless system communication via HTTP. Effective design involves clear resource naming (e.g., /users), correct use of HTTP methods (GET, POST, PUT, DELETE), and plural nouns for collections (/users). Consistent naming conventions, graceful error handling (e.g., 404), versioning (e.g., /v1/users), comprehensive documentation, robust authentication (OAuth, JWT), performance optimization (caching, pagination), scalability design (load balancing, indexing), HATEOAS for dynamic navigation, and API usage monitoring ensure reliability and security. These practices ensure APIs are robust, secure, and user-friendly.

[robomad]

Building a RESTful API with Django REST Framework

Learn how to build a RESTful API with Django REST Framework. This guide covers setup, models, serializers, views, authentication, and best practices for creating efficient APIs

Introduction Django REST Framework (DRF) is a powerful and flexible toolkit for building Web APIs in Django. It simplifies the process of creating RESTful APIs and provides tools for serialization, authentication, and view handling. This guide will walk you through building a RESTful API with DRF, covering everything from setting up the project to creating endpoints and handling…

[tonto-splace]

18.02.2024 | 16:04

I've started to work on a backend project which was actually a home task for .NET Backend Dev position with aim of developing REST API. Also started to read 'An Introduction to APIs' by Brian Cooksey'(I wish I discovered this while I was still studying, clear explanation for absolute beginners) because I figured that my C# and web skills got rusty a bit since I was using Python for a long time for both Flask projects and autonomous robot development. Application works fine right now, I tested via Postman but wanna try testing via Swagger one more time to learn what it is because the company I applied was using that. I am also planning to apply JWT authentication today and we will see how it will go.

[ramyavarshini]

The Dynamic Role of Full Stack Developers in Modern Software Development

Introduction: In the rapidly evolving landscape of software development, full stack developers have emerged as indispensable assets, seamlessly bridging the gap between front-end and back-end development. Their versatility and expertise enable them to oversee the entire software development lifecycle, from conception to deployment. In this insightful exploration, we'll delve into the multifaceted responsibilities of full stack developers and uncover their pivotal role in crafting innovative and user-centric web applications.

Understanding the Versatility of Full Stack Developers:

Full stack developers serve as the linchpins of software development teams, blending their proficiency in front-end and back-end technologies to create cohesive and scalable solutions. Let's explore the diverse responsibilities that define their role:

End-to-End Development Mastery: At the core of full stack development lies the ability to navigate the entire software development lifecycle with finesse. Full stack developers possess a comprehensive understanding of both front-end and back-end technologies, empowering them to conceptualize, design, implement, and deploy web applications with efficiency and precision.

Front-End Expertise: On the front-end, full stack developers are entrusted with crafting engaging and intuitive user interfaces that captivate audiences. Leveraging their command of HTML, CSS, and JavaScript, they breathe life into designs, ensuring seamless navigation and an exceptional user experience across devices and platforms.

Back-End Proficiency: In the realm of back-end development, full stack developers focus on architecting the robust infrastructure that powers web applications. They leverage server-side languages and frameworks such as Node.js, Python, or Ruby on Rails to handle data storage, processing, and authentication, laying the groundwork for scalable and resilient applications.

Database Management Acumen: Full stack developers excel in database management, designing efficient schemas, optimizing queries, and safeguarding data integrity. Whether working with relational databases like MySQL or NoSQL databases like MongoDB, they implement storage solutions that align with the application's requirements and performance goals.

API Development Ingenuity: APIs serve as the conduits that facilitate seamless communication between different components of a web application. Full stack developers are adept at designing and implementing RESTful or GraphQL APIs, enabling frictionless data exchange between the front-end and back-end systems.

Testing and Quality Assurance Excellence: Quality assurance is paramount in software development, and full stack developers take on the responsibility of testing and debugging web applications. They devise and execute comprehensive testing strategies, identifying and resolving issues to ensure the application meets stringent performance and reliability standards.

Deployment and Maintenance Leadership: As the custodians of web applications, full stack developers oversee deployment to production environments and ongoing maintenance. They monitor performance metrics, address security vulnerabilities, and implement updates and enhancements to ensure the application remains robust, secure, and responsive to user needs.

Conclusion: In conclusion, full stack developers embody the essence of versatility and innovation in modern software development. Their ability to seamlessly navigate both front-end and back-end technologies enables them to craft sophisticated and user-centric web applications that drive business growth and enhance user experiences. As technology continues to evolve, full stack developers will remain at the forefront of digital innovation, shaping the future of software development with their ingenuity and expertise.

[mindyourtopics44]

25 Python Projects to Supercharge Your Job Search in 2024

Introduction: In the competitive world of technology, a strong portfolio of practical projects can make all the difference in landing your dream job. As a Python enthusiast, building a diverse range of projects not only showcases your skills but also demonstrates your ability to tackle real-world challenges. In this blog post, we'll explore 25 Python projects that can help you stand out and secure that coveted position in 2024.

1. Personal Portfolio Website

Create a dynamic portfolio website that highlights your skills, projects, and resume. Showcase your creativity and design skills to make a lasting impression.

2. Blog with User Authentication

Build a fully functional blog with features like user authentication and comments. This project demonstrates your understanding of web development and security.

3. E-Commerce Site

Develop a simple online store with product listings, shopping cart functionality, and a secure checkout process. Showcase your skills in building robust web applications.

4. Predictive Modeling

Create a predictive model for a relevant field, such as stock prices, weather forecasts, or sales predictions. Showcase your data science and machine learning prowess.

5. Natural Language Processing (NLP)

Build a sentiment analysis tool or a text summarizer using NLP techniques. Highlight your skills in processing and understanding human language.

6. Image Recognition

Develop an image recognition system capable of classifying objects. Demonstrate your proficiency in computer vision and deep learning.

7. Automation Scripts

Write scripts to automate repetitive tasks, such as file organization, data cleaning, or downloading files from the internet. Showcase your ability to improve efficiency through automation.

8. Web Scraping

Create a web scraper to extract data from websites. This project highlights your skills in data extraction and manipulation.

9. Pygame-based Game

Develop a simple game using Pygame or any other Python game library. Showcase your creativity and game development skills.

10. Text-based Adventure Game

Build a text-based adventure game or a quiz application. This project demonstrates your ability to create engaging user experiences.

11. RESTful API

Create a RESTful API for a service or application using Flask or Django. Highlight your skills in API development and integration.

12. Integration with External APIs

Develop a project that interacts with external APIs, such as social media platforms or weather services. Showcase your ability to integrate diverse systems.

13. Home Automation System

Build a home automation system using IoT concepts. Demonstrate your understanding of connecting devices and creating smart environments.

14. Weather Station

Create a weather station that collects and displays data from various sensors. Showcase your skills in data acquisition and analysis.

15. Distributed Chat Application

Build a distributed chat application using a messaging protocol like MQTT. Highlight your skills in distributed systems.

16. Blockchain or Cryptocurrency Tracker

Develop a simple blockchain or a cryptocurrency tracker. Showcase your understanding of blockchain technology.

17. Open Source Contributions

Contribute to open source projects on platforms like GitHub. Demonstrate your collaboration and teamwork skills.

18. Network or Vulnerability Scanner

Build a network or vulnerability scanner to showcase your skills in cybersecurity.

19. Decentralized Application (DApp)

Create a decentralized application using a blockchain platform like Ethereum. Showcase your skills in developing applications on decentralized networks.

20. Machine Learning Model Deployment

Deploy a machine learning model as a web service using frameworks like Flask or FastAPI. Demonstrate your skills in model deployment and integration.

21. Financial Calculator

Build a financial calculator that incorporates relevant mathematical and financial concepts. Showcase your ability to create practical tools.

22. Command-Line Tools

Develop command-line tools for tasks like file manipulation, data processing, or system monitoring. Highlight your skills in creating efficient and user-friendly command-line applications.

23. IoT-Based Health Monitoring System

Create an IoT-based health monitoring system that collects and analyzes health-related data. Showcase your ability to work on projects with social impact.

24. Facial Recognition System

Build a facial recognition system using Python and computer vision libraries. Showcase your skills in biometric technology.

25. Social Media Dashboard

Develop a social media dashboard that aggregates and displays data from various platforms. Highlight your skills in data visualization and integration.

Conclusion: As you embark on your job search in 2024, remember that a well-rounded portfolio is key to showcasing your skills and standing out from the crowd. These 25 Python projects cover a diverse range of domains, allowing you to tailor your portfolio to match your interests and the specific requirements of your dream job.

If you want to know more, Click here:https://analyticsjobs.in/question/what-are-the-best-python-projects-to-land-a-great-job-in-2024/