Coding & AI Resources

Programming languages for various domains

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Coding & AI Resources

Job Interview Questions

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Coding & AI Resources

Essential Tools & Programming Languages for Software Developers

👉 Integrated Development Environments (IDEs):
- Visual Studio Code: A lightweight but powerful source code editor that supports various programming languages and extensions.
- IntelliJ IDEA: A popular IDE for Java development, also supporting other languages through plugins.
- Eclipse: Another widely used IDE for Java, with extensive plugin support for other languages.

👉 Version Control Systems:
- Git: A distributed version control system that allows developers to track changes in their codebase, collaborate with others, and manage project history. GitHub, GitLab, and Bitbucket are popular platforms that use Git.

👉 Programming Languages:
- JavaScript: Essential for web development, with frameworks like React, Angular, and Vue.js for front-end development and Node.js for server-side programming.
- Python: Known for its simplicity and versatility, used in web development (Django, Flask), data science (NumPy, Pandas), and automation.
- Java: Widely used for building enterprise-scale applications, Android app development, and backend systems.
- C#: A language developed by Microsoft, primarily used for building Windows applications and games using the Unity engine.
- C++: Known for its performance, used in system/software development, game development, and applications requiring real-time processing.
- Ruby: Known for its simplicity and productivity, often used in web development with the Ruby on Rails framework.

👉 Web Development Frameworks:
- React: A JavaScript library for building user interfaces, particularly single-page applications.
- Angular: A TypeScript-based framework for building dynamic web applications.
- Django: A high-level Python web framework that encourages rapid development and clean, pragmatic design.
- Spring: A comprehensive framework for Java that provides infrastructure support for developing Java applications.

👉 Database Management Systems:
- MySQL: An open-source relational database management system.
- PostgreSQL: An open-source object-relational database system with a strong emphasis on extensibility and standards compliance.
- MongoDB: A NoSQL database that uses a flexible, JSON-like format for storing data.

👉 Containerization and Orchestration:
- Docker: A platform that allows developers to package applications into containers, ensuring consistency across multiple environments.
- Kubernetes: An open-source system for automating deployment, scaling, and management of containerized applications.

👉 Cloud Platforms:
- Amazon Web Services (AWS): A comprehensive cloud platform offering a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: A cloud computing service created by Microsoft for building, testing, deploying, and managing applications.
- Google Cloud Platform (GCP): A suite of cloud computing services provided by Google.

👉 CI/CD Tools:
- Jenkins: An open-source automation server that helps automate the parts of software development related to building, testing, and deploying.
- Travis CI: A continuous integration service used to build and test software projects hosted on GitHub.

👉 Project Management and Collaboration:
- Jira: A tool developed by Atlassian for bug tracking, issue tracking, and project management.
- Trello: A visual tool for organizing tasks and projects into boards.

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Coding & AI Resources

Data Structure in Python

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Coding & AI Resources

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Coding & AI Resources

FREE Resources for HTML, CSS, and JavaScript:

1. Documentation and Tutorials:
- [MDN Web Docs](https://developer.mozilla.org/en-US/)
- [W3Schools](https://www.w3schools.com/)

2. Interactive Learning:
- [Codecademy](https://www.codecademy.com/)
- [freeCodeCamp](https://www.freecodecamp.org/)

3. Web Design Community:
- [CSS-Tricks](https://css-tricks.com/)

4. Open Source Projects:
- [GitHub](https://github.com/)

5. Problem-solving:
- [Stack Overflow](https://stackoverflow.com/)

6. Images for Projects:
- [Unsplash](https://unsplash.com/)
- [Pexels](https://www.pexels.com/)

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Like if you need similar content 😄👍

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Coding & AI Resources

Most popular Python libraries for data visualization:

Matplotlib – The most fundamental library for static charts. Best for basic visualizations like line, bar, and scatter plots. Highly customizable but requires more coding.

Seaborn – Built on Matplotlib, it simplifies statistical data visualization with beautiful defaults. Ideal for correlation heatmaps, categorical plots, and distribution analysis.

Plotly – Best for interactive visualizations with zooming, hovering, and real-time updates. Great for dashboards, web applications, and 3D plotting.

Bokeh – Designed for interactive and web-based visualizations. Excellent for handling large datasets, streaming data, and integrating with Flask/Django.

Altair – A declarative library that makes complex statistical plots easy with minimal code. Best for quick and clean data exploration.

For static charts, start with Matplotlib or Seaborn. If you need interactivity, use Plotly or Bokeh. For quick EDA, Altair is a great choice.

Share with credits: https://t.iss.one/sqlspecialist

Hope it helps :)

#python

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Coding & AI Resources

Guys, Big Announcement!

We’ve officially hit 2.5 Million followers — and it’s time to level up together! ❤️

I’m launching a Python Projects Series — designed for beginners to those preparing for technical interviews or building real-world projects.

This will be a step-by-step, hands-on journey — where you’ll build useful Python projects with clear code, explanations, and mini-quizzes!

Here’s what we’ll cover:

🔹 Week 1: Python Mini Projects (Daily Practice)
⦁ Calculator
⦁ To-Do List (CLI)
⦁ Number Guessing Game
⦁ Unit Converter
⦁ Digital Clock

🔹 Week 2: Data Handling & APIs
⦁ Read/Write CSV & Excel files
⦁ JSON parsing
⦁ API Calls using Requests
⦁ Weather App using OpenWeather API
⦁ Currency Converter using Real-time API

🔹 Week 3: Automation with Python
⦁ File Organizer Script
⦁ Email Sender
⦁ WhatsApp Automation
⦁ PDF Merger
⦁ Excel Report Generator

🔹 Week 4: Data Analysis with Pandas & Matplotlib
⦁ Load & Clean CSV
⦁ Data Aggregation
⦁ Data Visualization
⦁ Trend Analysis
⦁ Dashboard Basics

🔹 Week 5: AI & ML Projects (Beginner Friendly)
⦁ Predict House Prices
⦁ Email Spam Classifier
⦁ Sentiment Analysis
⦁ Image Classification (Intro)
⦁ Basic Chatbot

📌 Each project includes:
✅ Problem Statement
✅ Code with explanation
✅ Sample input/output
✅ Learning outcome
✅ Mini quiz

💬 React ❤️ if you're ready to build some projects together!

You can access it for free here
👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L

Let’s Build. Let’s Grow. 💻🙌

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Coding & AI Resources

Recursion with Spiderman 👆

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Coding & AI Resources

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Coding & AI Resources

Template to ask for referrals
(For freshers)
👇👇

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Coding & AI Resources

Hi [Name],

I hope this message finds you well.

My name is [Your Name], and I recently graduated with a degree in [Your Degree] from [Your University]. I am passionate about data analytics and have developed a strong foundation through my coursework and practical projects.
I am currently seeking opportunities to start my career as a Data Analyst and came across the exciting roles at [Company Name].

I am reaching out to you because I admire your professional journey and expertise in the field of data analytics. Your role at [Company Name] is particularly inspiring, and I am very interested in contributing to such an innovative and dynamic team.

I am confident that my skills and enthusiasm would make me a valuable addition to this role [Job ID / Link]. If possible, I would be incredibly grateful for your referral or any advice you could offer on how to best position myself for this opportunity.

Thank you very much for considering my request. I understand how busy you must be and truly appreciate any assistance you can provide.

Best regards,
[Your Full Name]
[Your Email Address]

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Coding & AI Resources

api testing.pdf

3.6 MB

Api testing Complete Guide🔥

React ❤️ For More

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Coding & AI Resources

5 beginner-friendly web development projects that can help you improve your skills

1. Personal Website or Portfolio:
   - Create a website that showcases your resume, projects, and skills.
   - Practice HTML and CSS to design the layout and style it.

2. To-Do List Application:
   - Build a simple to-do list app using HTML, CSS, and JavaScript.
   - Learn about DOM manipulation, event handling, and local storage.

3. Weather App:
   - Develop a web app that fetches and displays weather information for a user's location.
   - Use HTML, CSS, JavaScript, and APIs like OpenWeatherMap.

4. Blog or Blogging Platform:
   - Create a basic blog or expand it into a blogging platform.
   - Learn about databases (e.g., SQLite), server-side scripting (e.g., Node.js), and user authentication.

5. E-commerce Product Page:
   - Design a product page for an e-commerce site.
   - Practice building product grids, adding product details, and implementing a shopping cart feature.

These projects cover a range of web development skills, from front-end design to back-end development. As you work on them, you'll gain experience and confidence in web development.

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Coding & AI Resources

✌️ 25 Javascript Path Files Used To Store Sensitive Information In Web Application:-

1️⃣ /js/config.js
2️⃣ /js/credentials.js
3️⃣ /js/secrets.js
4️⃣ /js/keys.js
5️⃣ /js/password.js
6️⃣ /js/api_keys.js
7️⃣/js/auth_tokens.js
8️⃣/js/access_tokens.js
9️⃣/js/sessions.js

♾

1️⃣ /js/authorization.js
2️⃣ /js/encryption.js
3️⃣ /js/certificates.js
4️⃣ /js/ssl_keys.js
5️⃣ /js/passphrases.js
6️⃣ /js/policies.js
7️⃣ /js/permissions.js
8️⃣ /js/privileges.js
9️⃣ /js/hashes.js

♾

1️⃣ /js/salts.js
2️⃣ /js/nonces.js
3️⃣ js/signatures.js
4️⃣ js/digests.js
5️⃣ js/tokens.js
6️⃣ js/cookies.js
7️⃣ /js/topsecr3tdonotlook.js

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Coding & AI Resources

Basic Javascript Cheatsheets pdf saave it for later .pdf

3.3 MB

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