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/)
Credits: https://t.iss.one/free4unow_backup
Like if you need similar content ππ
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/)
Credits: https://t.iss.one/free4unow_backup
Like if you need similar content ππ
β€4π3
Most popular Python libraries for data visualization:
Matplotlib β The most fundamental library for static charts. Best for basic visualizations like line, bar, and scatter plots. Highly customizable but requires more coding.
Seaborn β Built on Matplotlib, it simplifies statistical data visualization with beautiful defaults. Ideal for correlation heatmaps, categorical plots, and distribution analysis.
Plotly β Best for interactive visualizations with zooming, hovering, and real-time updates. Great for dashboards, web applications, and 3D plotting.
Bokeh β Designed for interactive and web-based visualizations. Excellent for handling large datasets, streaming data, and integrating with Flask/Django.
Altair β 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
Matplotlib β The most fundamental library for static charts. Best for basic visualizations like line, bar, and scatter plots. Highly customizable but requires more coding.
Seaborn β Built on Matplotlib, it simplifies statistical data visualization with beautiful defaults. Ideal for correlation heatmaps, categorical plots, and distribution analysis.
Plotly β Best for interactive visualizations with zooming, hovering, and real-time updates. Great for dashboards, web applications, and 3D plotting.
Bokeh β Designed for interactive and web-based visualizations. Excellent for handling large datasets, streaming data, and integrating with Flask/Django.
Altair β 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
β€2π1
Guys, Big Announcement!
Weβve officially hit 2.5 Million followers β and itβs time to level up together! β€οΈ
Iβm launching a Python Projects Series β designed for beginners to those preparing for technical interviews or building real-world projects.
This will be a step-by-step, hands-on journey β where youβll build useful Python projects with clear code, explanations, and mini-quizzes!
Hereβs what weβll cover:
πΉ Week 1: Python Mini Projects (Daily Practice)
β¦ Calculator
β¦ To-Do List (CLI)
β¦ Number Guessing Game
β¦ Unit Converter
β¦ Digital Clock
πΉ Week 2: Data Handling & APIs
β¦ Read/Write CSV & Excel files
β¦ JSON parsing
β¦ API Calls using Requests
β¦ Weather App using OpenWeather API
β¦ Currency Converter using Real-time API
πΉ Week 3: Automation with Python
β¦ File Organizer Script
β¦ Email Sender
β¦ WhatsApp Automation
β¦ PDF Merger
β¦ Excel Report Generator
πΉ Week 4: Data Analysis with Pandas & Matplotlib
β¦ Load & Clean CSV
β¦ Data Aggregation
β¦ Data Visualization
β¦ Trend Analysis
β¦ Dashboard Basics
πΉ Week 5: AI & ML Projects (Beginner Friendly)
β¦ Predict House Prices
β¦ Email Spam Classifier
β¦ Sentiment Analysis
β¦ Image Classification (Intro)
β¦ Basic Chatbot
π Each project includes:
β Problem Statement
β Code with explanation
β Sample input/output
β Learning outcome
β Mini quiz
π¬ React β€οΈ if you're ready to build some projects together!
You can access it for free here
ππ
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Letβs Build. Letβs Grow. π»π
Weβve officially hit 2.5 Million followers β and itβs time to level up together! β€οΈ
Iβm launching a Python Projects Series β designed for beginners to those preparing for technical interviews or building real-world projects.
This will be a step-by-step, hands-on journey β where youβll build useful Python projects with clear code, explanations, and mini-quizzes!
Hereβs what weβll cover:
πΉ Week 1: Python Mini Projects (Daily Practice)
β¦ Calculator
β¦ To-Do List (CLI)
β¦ Number Guessing Game
β¦ Unit Converter
β¦ Digital Clock
πΉ Week 2: Data Handling & APIs
β¦ Read/Write CSV & Excel files
β¦ JSON parsing
β¦ API Calls using Requests
β¦ Weather App using OpenWeather API
β¦ Currency Converter using Real-time API
πΉ Week 3: Automation with Python
β¦ File Organizer Script
β¦ Email Sender
β¦ WhatsApp Automation
β¦ PDF Merger
β¦ Excel Report Generator
πΉ Week 4: Data Analysis with Pandas & Matplotlib
β¦ Load & Clean CSV
β¦ Data Aggregation
β¦ Data Visualization
β¦ Trend Analysis
β¦ Dashboard Basics
πΉ Week 5: AI & ML Projects (Beginner Friendly)
β¦ Predict House Prices
β¦ Email Spam Classifier
β¦ Sentiment Analysis
β¦ Image Classification (Intro)
β¦ Basic Chatbot
π Each project includes:
β Problem Statement
β Code with explanation
β Sample input/output
β Learning outcome
β Mini quiz
π¬ React β€οΈ if you're ready to build some projects together!
You can access it for free here
ππ
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Letβs Build. Letβs Grow. π»π
β€8
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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.
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[Your Email Address]β€7
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.
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.
β€5
βοΈ 25 Javascript Path Files Used To Store Sensitive Information In Web Application:-
1οΈβ£ /js/config.js
2οΈβ£ /js/credentials.js
3οΈβ£ /js/secrets.js
4οΈβ£ /js/keys.js
5οΈβ£ /js/password.js
6οΈβ£ /js/api_keys.js
7οΈβ£/js/auth_tokens.js
8οΈβ£/js/access_tokens.js
9οΈβ£/js/sessions.js
βΎ
1οΈβ£ /js/authorization.js
2οΈβ£ /js/encryption.js
3οΈβ£ /js/certificates.js
4οΈβ£ /js/ssl_keys.js
5οΈβ£ /js/passphrases.js
6οΈβ£ /js/policies.js
7οΈβ£ /js/permissions.js
8οΈβ£ /js/privileges.js
9οΈβ£ /js/hashes.js
βΎ
1οΈβ£ /js/salts.js
2οΈβ£ /js/nonces.js
3οΈβ£ js/signatures.js
4οΈβ£ js/digests.js
5οΈβ£ js/tokens.js
6οΈβ£ js/cookies.js
7οΈβ£ /js/topsecr3tdonotlook.js
1οΈβ£ /js/config.js
2οΈβ£ /js/credentials.js
3οΈβ£ /js/secrets.js
4οΈβ£ /js/keys.js
5οΈβ£ /js/password.js
6οΈβ£ /js/api_keys.js
7οΈβ£/js/auth_tokens.js
8οΈβ£/js/access_tokens.js
9οΈβ£/js/sessions.js
βΎ
1οΈβ£ /js/authorization.js
2οΈβ£ /js/encryption.js
3οΈβ£ /js/certificates.js
4οΈβ£ /js/ssl_keys.js
5οΈβ£ /js/passphrases.js
6οΈβ£ /js/policies.js
7οΈβ£ /js/permissions.js
8οΈβ£ /js/privileges.js
9οΈβ£ /js/hashes.js
βΎ
1οΈβ£ /js/salts.js
2οΈβ£ /js/nonces.js
3οΈβ£ js/signatures.js
4οΈβ£ js/digests.js
5οΈβ£ js/tokens.js
6οΈβ£ js/cookies.js
7οΈβ£ /js/topsecr3tdonotlook.js
β€2
Share 75 DSA Questions from Leet.docx
33.7 KB
75 Most Asked DSA interview questions π¨βπ»
React β€οΈ for more π
React β€οΈ for more π
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