Whats is DeepSeek
AI

What is DeepSeek and How to Use It?

by Debasis
written by Debasis

Introduction: Understanding DeepSeek in 2025

Artificial Intelligence is evolving rapidly, and one of the most promising new platforms is DeepSeek. If you’re curious about cutting-edge open-source AI or looking for a powerful alternative to ChatGPT, DeepSeek is a name you should know.

In this guide, we’ll dive into:

  • What DeepSeek is
  • How it works
  • How to use DeepSeek effectively
  • Benefits and real-world use cases
  • DeepSeek vs other AI platforms

What is DeepSeek?

DeepSeek is an advanced open-source large language model (LLM) developed to rival the performance of commercial AI models like GPT-4 and Claude. It’s designed by the Chinese tech group DeepSeek-VL, which has developed a family of models with capabilities in code generation, natural language understanding, and reasoning.

Some notable DeepSeek models include:

  • DeepSeek-VL: A multimodal model (supports image + text)
  • DeepSeek-Coder: Specialized in code generation and software development tasks
  • DeepSeek-LLM: General-purpose conversational AI

DeepSeek Features at a Glance

Feature Details
🧠 Open Source Available on Hugging Face, GitHub, and other repositories
🚀 High Performance Competitively benchmarked against GPT-4, Claude 3
💬 Multilingual Support Supports multiple languages, including English and Chinese
🛠️ Developer-Friendly Includes APIs and model weights for local deployment
📸 Multimodal Capability Supports vision-language tasks (images + text input)

How to Use DeepSeek

You can use DeepSeek in several ways depending on your technical background and needs:

1. Use DeepSeek Online (No Coding Required)

Visit the DeepSeek demo platform or Hugging Face:

  • Go to https://deepseek.com
  • Choose a model (e.g., DeepSeek Chat or Coder)
  • Start typing prompts and get responses instantly

2. Use DeepSeek via API

Developers can access DeepSeek models through API integrations:

  • Use Python, JavaScript, or Node.js SDKs
  • Connect via Hugging Face API or deploy the model with vLLM

3. Run DeepSeek Locally

Advanced users can run DeepSeek on their own systems:

  • Download models from GitHub or Hugging Face
  • Use Transformers or LangChain for setup
  • Customize it for data-sensitive or offline applications

DeepSeek Use Cases

  • Content Creation: Blog posts, emails, product descriptions
  • Software Development: Code autocomplete, debugging, code explanations
  • Education & Research: Paper summarization, math problem solving
  • Vision Tasks: Analyze images using DeepSeek-VL
  • Chatbots: Build AI-powered conversational tools

DeepSeek vs GPT-4 vs Claude 3

Feature DeepSeek GPT-4 Claude 3
Open Source ✅ Yes ❌ No ❌ No
Performance 🟢 Competitive 🟢 Advanced 🟢 Advanced
Cost 💸 Free (local use) 💰 Paid 💰 Paid
Coding Support ✅ Excellent ✅ Good ✅ Good
Multimodal ✅ Yes ✅ Yes ✅ Yes

Why DeepSeek is a Game-Changer in 2025

DeepSeek is a game-changer because of its open access, high performance, and flexibility. Unlike closed commercial tools, DeepSeek empowers everyone, from individuals to enterprises, to harness cutting-edge AI affordably and transparently.

It stands out for:

  • Transparency
  • Versatility
  • Innovation in multimodal AI

Final Thoughts: Should You Try DeepSeek?

Yes! Whether you’re a developer, student, or creator, DeepSeek is worth exploring. Its open-source models provide state-of-the-art performance, making it ideal for anyone interested in AI in 2025 and beyond.

FAQs about DeepSeek

Q: Is DeepSeek free to use?
A: Yes, especially if you’re using the open-source models locally or via Hugging Face.

Q: Is DeepSeek better than ChatGPT?
A: In some areas, like transparency and coding, yes. But for casual conversation, GPT-4 is still strong.

Q: Can DeepSeek write code?
A: Absolutely! DeepSeek-Coder is trained on a vast amount of code and supports over 80 programming languages.

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Machine-Learning vs Deep-Learning
AIInformation

Machine Learning vs Deep Learning

by Debasis
written by Debasis

Machine Learning (ML) and Deep Learning (DL) are two of the most transformative technologies in the field of Artificial Intelligence (AI). While they are often used interchangeably, they have distinct methodologies, capabilities, and use cases.

🔍 What is Machine Learning?

Machine Learning is a subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed. ML algorithms use data to make predictions or decisions based on patterns.

📌 Example of Machine Learning:

from sklearn.linear_model import LinearRegression

# Simple Linear Regression
X = [[5], [15], [25], [35], [45], [55]]
y = [5, 20, 14, 32, 22, 38]

model = LinearRegression()
model.fit(X, y)

print(model.predict([[60]]))  # Predict output for a new value

🤖 What is Deep Learning?

Deep Learning is a specialized branch of Machine Learning that uses neural networks with multiple layers (deep neural networks). It is capable of automatically extracting high-level features from raw data.

📌 Example of Deep Learning (Using TensorFlow/Keras):

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

# Basic Neural Network
model = Sequential([
    Dense(64, activation='relu', input_shape=(10,)),
    Dense(1, activation='sigmoid')
])

model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
# model.fit(X_train, y_train, epochs=10)

⚖️ Key Differences Between Machine Learning and Deep Learning

Aspect Machine Learning Deep Learning
Data Dependency Works with small to medium datasets Requires large datasets
Performance Plateaus with data increase Improves with more data
Hardware Needs Can run on CPUs Needs GPUs or TPUs
Feature Engineering Requires manual effort Automatically extracts features

🌍 Real-World Applications

  • Machine Learning: Spam detection, fraud detection, customer churn prediction
  • Deep Learning: Image recognition, speech translation, autonomous driving

💡 Final Thoughts

Both Machine Learning and Deep Learning offer incredible capabilities. While machine learning (ML) is sufficient for many traditional tasks, deep learning (DL) excels in complex scenarios involving images, audio, or unstructured data. Understanding the difference helps in choosing the right approach for your AI projects.

🔎 Frequently Asked Questions (FAQs)

1. Is deep learning better than machine learning?

Deep learning outperforms machine learning (ML) in tasks involving large, unstructured data. However, for simpler problems with limited data, ML is more efficient.

2. Can I learn deep learning without machine learning?

It’s recommended to understand the fundamentals of machine learning first before diving into deep learning.

3. Which is more in demand: ML or DL?

Both skills are in demand. Deep learning is especially sought after in fields like computer vision, natural language processing, and AI research.

📢 Want more AI tutorials and guides? Subscribe to our blog and follow us on social media for weekly updates on Python, AI, and technology trends!

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learn-python-using-ai
Python

Learn Python Using AI: The Smart Way to Master Coding in 2025

by Debasis
written by Debasis

Introduction: Why Learn Python in 2025?

Python is one of the most popular and beginner-friendly programming languages. It powers everything from websites to artificial intelligence, automation, data analysis, and app development. But in 2025, learning Python has evolved – AI tools now make the journey faster, smarter, and easier.

In this blog, you’ll learn how to use AI to learn Python effectively, even if you’re starting from scratch. Whether you’re a student, freelancer, or working professional, this guide will help you leverage modern tools to master Python coding skills.

🧠 How AI is Changing Python Learning

Thanks to advancements in Artificial Intelligence, beginners no longer need to struggle with complex programming concepts. AI tools offer features like:

  • Code autocompletion
  • Real-time error correction
  • Instant code explanation
  • Voice-based coding assistants
  • Interactive learning platforms

These features can drastically reduce the time it takes to understand and write Python code.

🛠️ Best AI Tools to Learn Python

1. ChatGPT (OpenAI)

ChatGPT can explain Python code, debug your code snippets, and even generate scripts from your natural language prompts. It acts like a 24/7 mentor.

# Example:
Ask: “Write a Python script to sort a list of numbers.”
Response:
numbers = [5, 2, 9, 1, 7]
numbers.sort()
print(numbers)

2. Google Colab + Code Assistants

Google Colab lets you write and run Python code in your browser. Paired with AI-powered code completion and notebook suggestions, it’s a powerful combo for learning.

3. Kite AI

Kite offers intelligent code completion in IDEs like VSCode and PyCharm. It predicts your next line of code using machine learning.

4. Replit Ghostwriter

Replit’s Ghostwriter is an AI assistant that can help you write and understand Python directly in your browser IDE.

👨‍💻 Sample Beginner Python Script Using AI Support

# Simple Python Calculator

def add(a, b):
    return a + b

def subtract(a, b):
    return a - b

print("Addition:", add(10, 5))
print("Subtraction:", subtract(10, 5))

You can copy this code and paste it into Replit, Google Colab, or use ChatGPT to expand it further.

🎯 Tips to Learn Python Faster with AI

  • Practice daily: Use platforms like LeetCode or HackerRank and get AI-generated hints.
  • Break projects into small tasks: Use AI to guide you step-by-step.
  • Ask “why” not just “how”: Use ChatGPT to understand the logic behind the code.
  • Join AI-powered communities: Participate in forums or Discord groups with AI-based tutoring.

📚 Best Courses That Integrate AI for Python Learning

  • Python for Everybody by Dr. Chuck (Coursera)
  • Learn Python the AI Way (Udemy / YouTube)
  • Harvard’s CS50 with ChatGPT support

🔚 Conclusion: Learn Smarter, Not Harder

Gone are the days of trial-and-error Python learning. With AI tools, you get real-time feedback, customized lessons, and hands-on practice – all tailored to your learning speed.

Start your Python journey with AI today and become a coder in 2025 without burnout.

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Python IDLE
Python

Python for Beginners: How to Use Python IDLE and Write Basic Python Scripts

by Debasis
written by Debasis

Are you just starting your programming journey? Python is one of the most beginner-friendly programming languages to learn in 2025. In this guide, we’ll show you how to use Python IDLE and write your first few Python scripts. Let’s get started!

🔰 What is Python IDLE?

IDLE (Integrated Development and Learning Environment) is the built-in editor and debugger that comes with Python. It provides a simple and user-friendly interface for writing and running Python code, making it perfect for beginners.

python-idle

Why Use Python IDLE?

  • No extra setup required – comes with Python installation
  • Lightweight and easy to use
  • Perfect for writing small Python programs
  • Provides both an interactive shell and a file editor

🛠️ How to Open Python IDLE

Step 1: First, install Python from the official website: https://www.python.org/downloads/

Step 2: After installation, locate IDLE:

  • Windows: Search “IDLE” in the Start Menu
  • macOS: Applications > Python > IDLE
  • Linux: Run idle or idle3 In the terminal

How to open IDLE on your system

✍️ Writing Your First Python Script

Step 1: Open the Python Shell

After launching IDLE, you’ll see the Python Shell (interactive mode).

>> print("Hello, World!")

Output: Hello, World!

Step 2: Create a New File

Click File > New File (or press Ctrl+N). This opens the script editor window.

Step 3: Write Your Code

# hello.py
print("Hello, World!")
name = input("What is your name? ")
print("Welcome to Python,", name)

Step 4: Save the Script

Click File > Save As and name it hello.py. Save it in a folder where you keep your projects.

Step 5: Run the Script

Press F5 or click Run > Run Module. The Python Shell will execute the code.

🧪 Learn Basic Python Concepts

1. Variables and Data Types

age = 25
height = 5.8
name = "Alice"
print(name, "is", age, "years old and", height, "feet tall.")

2. Conditional Statements

age = int(input("Enter your age: "))
if age >= 18:
    print("You're an adult!")
else:
    print("You're a minor.")

3. Loops

for i in range(5):
    print("This is line", i+1)

4. Functions

def greet(name):
    print("Hello,", name)

greet("John")

💡 Tips for Python Beginners

  • Practice writing small scripts daily
  • Use comments to explain your code
  • Use the Python Shell to test small code snippets
  • Refer to the official Python documentation

📌 Final Thoughts

Python is an excellent starting point for anyone who wants to enter the world of programming. With tools like IDLE, you don’t need to worry about installing heavy software. Just open IDLE, write your code, and run it—it’s that simple!

Whether you’re planning to become a web developer, data scientist, or automation expert, mastering the basics through IDLE will give you a strong foundation.

Start now. Type print("I'm learning Python!") And begin your journey!

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Python Basics for Beginners
Python

Python Basics for Beginners: Learn to Code with Simple Examples

by Debasis
written by Debasis

If you’re new to programming and wondering where to start, Python is an excellent choice. It’s simple, readable, and widely used in fields like web development, data science, automation, artificial intelligence, and more. This beginner-friendly guide will walk you through Python Basics with simple code examples to help you start your journey with confidence.

Why Learn Python?

  • Easy-to-read syntax
  • Versatile applications
  • Strong community support
  • Beginner-friendly learning curve

Whether you want to automate tasks, build websites, analyze data, or develop software, Python can help you achieve your goals.

1. How to Install Python

To start coding in Python, you first need to install it on your system.

  • Download Python from the official website
  • Follow the installation instructions for your OS
  • Make sure to check the box “Add Python to PATH” during installation

python-install

Once installed, open your terminal or command prompt and type:

python --version

You should see the installed Python version.

2. Your First Python Program

Open a code editor or Python’s IDLE, and type the following:

print("Hello, World!")

This simple command outputs:

Hello, World!

Congratulations! You’ve written your first Python program.

3. Python Variables and Data Types

Variables are used to store data. Python doesn’t require explicit variable declarations.

name = "John"
age = 25
is_student = True

Common Data Types:

  • str – String (e.g., “Hello”)
  • int – Integer (e.g., 5)
  • float – Decimal (e.g., 5.5)
  • bool – Boolean (e.g., True or False)
  • list – List of items (e.g., [1, 2, 3])

4. Basic Python Input and Output

Python lets you take user input easily:

name = input("Enter your name: ")
print("Welcome, " + name + "!")

5. Python Conditional Statements

Python supports standard conditional logic.

age = int(input("Enter your age: "))
if age >= 18:
    print("You are an adult.")
else:
    print("You are a minor.")

6. Loops in Python

for loop:

for i in range(5):
    print("Number:", i)

while loop:

count = 0
while count < 5:
    print("Counting:", count)
    count += 1

7. Functions in Python

Functions help reuse code.

def greet(name):
    print("Hello, " + name + "!")

greet("Alice")

8. Python Lists and Loops

Lists are like arrays that can store multiple items.

fruits = ["apple", "banana", "cherry"]
for fruit in fruits:
    print(fruit)

9. Commenting in Python

Use comments to describe code:

# This is a single-line comment

"""
This is a
multi-line comment
"""

Final Tips for Python Beginners

Conclusion:

Learning Python opens up countless opportunities in programming and tech careers. With its beginner-friendly syntax and wide range of applications, it’s the perfect first language. Whether you’re a student, freelancer, or enthusiast, mastering the Python basics is your first step toward becoming a skilled programmer.

FAQs

  • Q: Can I learn Python without any prior programming experience?
  • Yes, Python is ideal for beginners with no background in coding.
  • Q: How long does it take to learn Python basics?
  • You can grasp the basics within a few weeks with consistent practice.
  • Q: Is Python free to use?
  • Absolutely! Python is open-source and free for everyone.
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Will AI Replace Freelancers
AIInformation

Will AI Replace Freelancers?

by Debasis
written by Debasis

Artificial Intelligence (AI) is no longer a buzzword – it’s transforming the world of work, and freelancers are feeling the shift more than ever in 2025. With tools like ChatGPT, Midjourney, and automation software reshaping industries, the question arises: “Will AI take over freelance jobs?”

The answer isn’t as simple as “yes” or “no.” AI will change *how* freelancers work, not eliminate the need for freelancers. Let’s explore what this means and how freelancers can adapt and thrive in the age of AI.

Is AI a Threat to Freelancers?

AI can certainly automate repetitive tasks – from writing product descriptions to designing logos with templates. Platforms now offer AI-generated content, art, music, and even code. This raises real concerns for content writers, graphic designers, developers, marketers, and many others.

However, AI lacks creativity, emotional intelligence, human connection, and nuanced understanding – traits that clients still value in experienced freelancers. AI may be able to write an article or generate a graphic, but it can’t understand a brand’s tone, build trust, or tailor content to a unique audience like a skilled freelancer can.

What Types of Freelance Jobs Are Affected?

High Risk of AI Disruption:

  • Basic content writing (SEO articles, product descriptions)
  • Simple graphic design
  • Data entry & processing
  • Basic translation tasks

Lower Risk or AI-Resistant:

  • Strategy-based marketing
  • UX/UI design involving human feedback
  • Custom web/app development
  • Copywriting with brand voice
  • Video storytelling
  • Client management, coaching, and consulting

How Freelancers Can Stay Relevant in 2025

Rather than fearing AI, freelancers should embrace it as a powerful assistant. Here’s how:

1. Use AI to Boost Productivity

Leverage tools like ChatGPT, Jasper, Grammarly, Canva, and Notion AI to speed up repetitive tasks, brainstorm ideas, or polish content. This allows you to focus on higher-value work.

2. Offer Premium Services

Clients still pay more for originality and personalization. Offer services like:

  • Brand storytelling
  • Custom strategy consulting
  • Human-edited AI content
  • Original design with emotional depth

3. Develop Hybrid Skills

Become an expert who combines creativity with tech. For example:

  • A content writer who also understands SEO + AI tools
  • A designer who uses AI for drafts but adds a unique touch
  • A developer who automates routine code generation using AI

4. Build a Personal Brand

People hire freelancers they trust. Show your face, share your journey, and build credibility on platforms like LinkedIn, Twitter, and your website. A bot can’t replicate your personal story and values.

5. Focus on Relationship Building

Clients tend to stay with freelancers who understand their business and communicate effectively. AI can’t replace human rapport, empathy, or business sense.

Special Advice for Freelancers in 2025

✅ Adapt or Risk Obsolescence: Don’t fight AI – learn it before you’re replaced by someone who already did.

✅ Keep Learning: Upskill in fields where AI struggles – emotional intelligence, storytelling, client engagement, leadership, and creative thinking.

✅ Diversify Income: Combine freelancing with other income streams like:

  •  Selling digital products
  •  Affiliate marketing
  •  Creating online courses
  • Offering mentorship or coaching

✅ Join Communities: Network with other freelancers. Collaborate, share tools, and grow together.

Conclusion: The Future Belongs to the Human-AI Hybrid

AI isn’t here to kill freelancing — it’s here to transform it. The freelancers who succeed in 2025 are those who embrace change, leverage AI, and focus on the human value they bring to the table.

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MongoDB: What It Is and How It’s Used
Information

MongoDB: What It Is and How It’s Used

by Debasis
written by Debasis

If you’re building a fast, scalable, and flexible application, MongoDB should be on your radar. It’s one of the most popular NoSQL Databases, used by companies like Uber, eBay, and Adobe.

In this guide, we’ll break down what MongoDB is, when and why to use it, and how to work with it using real-world example code.

🚀 What is MongoDB?

MongoDB is a NoSQL, document-based database. Instead of tables and rows (like in MySQL), it uses collections and documents. Documents are stored in BSON format (Binary JSON), making MongoDB great for handling flexible and semi-structured data.

🔑 Key Features of MongoDB

  • No fixed schema – Store anything from simple to complex data.
  • High performance – Great for read/write-heavy apps.
  • Horizontal scaling – Easily scale with sharding.
  • JSON-friendly – Works seamlessly with modern JavaScript apps.

✅ When Should You Use MongoDB?

MongoDB is ideal for:

  • Rapid prototyping and agile development
  • Apps with changing or complex data models
  • Projects requiring fast write operations
  • Real-time analytics or social data platforms

Popular use cases:

  • Web apps using MERN/MEAN stack
  • Real-time chat applications
  • Content management systems (CMS)
  • E-commerce product catalogs

💡 Getting Started with MongoDB (Node.js Example)

Let’s walk through some basic MongoDB operations using Node.js. Make sure you have Node.js and MongoDB installed on your local machine.

Step 1: Install MongoDB Driver

npm install mongodb

Step 2: Connect to MongoDB

const { MongoClient } = require('mongodb');
const uri = "mongodb://localhost:27017";
const client = new MongoClient(uri);
async function connectDB() {
try {
await client.connect();
console.log("Connected to MongoDB");
} finally {
await client.close();
}
}
connectDB().catch(console.dir);

📝 CRUD Operations in MongoDB

🔸 Insert a Document

async function insertUser() {
await client.connect();
const db = client.db("demoDB");
const users = db.collection("users");
const result = await users.insertOne({
name: "John Doe",
email: "john@example.com",
age: 34,
hobbies: ["music", "gaming"]
});
console.log("Inserted ID:", result.insertedId);
await client.close();
}

🔸 Find Documents

async function findUsers() {
await client.connect();
const db = client.db("demoDB");
const users = db.collection("users");
const data = await users.find({ age: { $gte: 30 } }).toArray();
console.log("Results:", data);
await client.close();
}

🔸 Update a Document

async function updateUser() {
await client.connect();
const db = client.db("demoDB");
const users = db.collection("users");
const result = await users.updateOne(
{ email: "john@example.com" },
{ $set: { age: 35 } }
);
console.log("Updated:", result.modifiedCount);
await client.close();
}

🔸 Delete a Document

async function deleteUser() {
await client.connect();
const db = client.db("demoDB");
const users = db.collection("users");
const result = await users.deleteOne({ email: "john@example.com" });
console.log("Deleted:", result.deletedCount);
await client.close();
}

🌍 MongoDB in Real-World Apps

MongoDB fits perfectly into:

  • MERN stack (MongoDB, Express, React, Node.js)
  • Microservice architectures
  • Serverless applications using MongoDB Atlas
  • Applications that require flexible and evolving data models

🧠 Final Thoughts

MongoDB is a modern database built for modern applications. Whether you’re building a real-time app, content management system, or data-heavy API, MongoDB gives you the tools and flexibility you need.

Want more MongoDB tutorials? Please let us know in the comments, and we’ll create additional hands-on guides for developers.

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Information

Weengle Simple Contact Form Logger v2

by Debasis
written by Debasis

What’s New in Weengle Simple Contact Form Logger v2?

Version 2.0 brings a suite of enhancements to the beloved minimalist contact form plugin:

  • 🔔 Admin Email Alerts: Get notified instantly when someone fills out your form.
  • 📁 CSV Export: Download all your form data in one click.
  • 🛡️ Anti-Spam Field: Honeypot technique helps filter bots.
  • ✅ User Confirmation: A Clear success message ensures good UX.
  • ⚙️ Still Lightweight: No unnecessary JavaScript or styling conflicts.

This version keeps everything developers love – simplicity, speed, and full control—while adding productivity-boosting tools.

Weengle Simple Contact Form

Weengle Simple Contact Form Plugin

Installation Instructions:

Same as before:

  1. Upload plugin to /wp-content/plugins/.

  2. Activate it via the WordPress admin panel.

  3. Use the shortcode [weengle_contact_form] in your post/page.

You’ll now see a “Contact Form Logs” tab with export options and submission details.

Conclusion:

The Weengle Simple Contact Form Logger v2 is the perfect bridge between form simplicity and backend power. It helps WordPress site owners track user messages efficiently while staying fast, secure, and easy to use.

DOWNLOAD V2

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Secure WordPress
Tips & TricksWordPress

How to Secure WordPress Without Plugins

by Debasis
written by Debasis

WordPress is one of the most popular content management systems in the world, making it a frequent target for hackers. While plugins offer convenient security enhancements, relying solely on them introduces additional vulnerabilities. This eBook will guide you through securing your WordPress site without using any plugins, focusing instead on best practices, server configurations, and code-level tweaks.

Why Go Plugin-Free WordPress?

Pros:

  • Reduced attack surface
  • Better performance (fewer HTTP requests, lower memory usage)
  • Full control over security configurations

Cons:

  • Requires more technical knowledge
  • Some tasks are manual

Harden Your Hosting Environment

  1. Choose a Secure Hosting Provider
    • Utilize providers that utilize server-side firewalls and malware scanning.
    • Enable automatic daily backups.
  2. Use the Latest PHP Version
    • Always use the most recent stable version of WordPress that is supported.
  3. Configure File Permissions Properly
    • wp-config.php – 400 or 440
    • Files – 644
    • Directories – 755
  4. Disable Directory Listing
    Add this line to .htaccess:

    Options -Indexes
  5. Limit Access via .htaccess
    • Restrict access to wp-config.php: 
      <files wp-config.php>
order allow,deny
deny from all
</files>

Secure wp-config.php

Use .htaccess and Server-Level Tweaks

  • Protect sensitive files: 
    <files .htaccess>
order allow,deny
deny from all
</files>
  • Block XML-RPC (often targeted by bots): 
    <Files xmlrpc.php>
Order Deny,Allow
Deny from all
</Files>
  • Limit access to wp-admin by IP: 
    <Directory /path/to/wp-admin>
Order Deny,Allow
Deny from all
Allow from YOUR.IP.ADD.RESS
</Directory>

Secure Your Database

  • Change the database prefix from wp_ to something unique.
  • Use a strong DB user password.
  • Limit DB user privileges to only what’s necessary.

Secure User Accounts

  • Delete or rename the default ‘admin’ user
  • Enforce strong passwords
  • Use unique usernames
  • Limit login attempts with .htaccess rules or fail2ban on server

Regular Maintenance & Monitoring

  • Keep WordPress core, themes, and custom code updated
  • Scan your site manually or with server-side tools (e.g., ClamAV)
  • Regularly back up your database and files

Some Bonus Tips For You:

  • Use a CDN with security features (e.g., Cloudflare)
  • Set up HTTP security headers: 
    Header always set X-Content-Type-Options "nosniff"
Header always set X-XSS-Protection "1; mode=block"
Header always set X-Frame-Options "SAMEORIGIN"
  • Consider enabling 2FA through SSH or email OTP (outside of WordPress login)

Conclusion:

Security is an ongoing process, not a one-time task. By understanding the internals of WordPress and applying these non-plugin techniques, you can achieve a high level of security while maintaining performance and control.

Author: Debasis Pradhan
Freelance WordPress Security Specialist

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Learn How to Earn with Amazon
Information

Learn How to Earn with Amazon

by Debasis
written by Debasis

If you’re looking to earn money online, Amazon offers multiple legitimate ways to generate income from home. Whether you’re a student, stay-at-home parent, freelancer, or entrepreneur, learning how to earn with Amazon can open doors to a sustainable and scalable online business.

In this guide, we’ll explore the top ways to make money with Amazon, including beginner-friendly options and tips for success.

1. Amazon Affiliate Program (Amazon Associates)

One of the easiest ways to start earning is through the Amazon Affiliate Program. By promoting Amazon products via a blog, website, or social media channel, you can earn a commission on every sale made through your referral link.

Key Benefits:

  • Free to join
  • Millions of products to promote
  • Real-time performance tracking

2. Sell on Amazon (FBA & FBM)

You can become an Amazon seller and list products on the marketplace. Choose between:

  • Fulfillment by Amazon (FBA): Amazon stores, packs, and ships your products.
  • Fulfillment by Merchant (FBM): You handle storage and shipping.

Selling physical products is a proven method for earning money on Amazon, provided you have the right niche and competitive pricing.

Tips for success:

  • Research profitable products
  • Optimize listings with keywords and images
  • Manage inventory efficiently

3. Kindle Direct Publishing (KDP)

If you’re a writer or content creator, Amazon KDP lets you publish and sell eBooks or paperbacks for free. It’s a great way to earn passive income on Amazon.

How to get started:

  • Write and format your book
  • Create an eye-catching cover
  • Publish on Amazon Kindle Store

4. Amazon Mechanical Turk (MTurk)

Amazon MTurk is a micro-task platform where you complete simple jobs like data validation, surveys, and content moderation. Although the pay per task is small, consistent effort can help you make money with Amazon from home.

5. Amazon Handmade

For artisans and crafters, Amazon Handmade is the perfect platform to sell unique, handmade products like jewelry, home decor, and art.

6. Merch by Amazon

Designers can earn royalties by uploading t-shirt or merchandise designs to Merch by Amazon. Amazon handles printing, shipping, and customer service.

Final Thoughts: Start Earning with Amazon Today

Whether you’re looking to build a side hustle or start a full-time business, learning how to earn with Amazon gives you access to a trusted platform and a global customer base. From affiliate marketing to selling products and publishing eBooks, the opportunities are diverse and beginner-friendly.

To get started:

  • Choose a method that matches your skills and goals
  • Focus on delivering value
  • Stay consistent and patient
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