Showing posts with label Python. Show all posts
Showing posts with label Python. Show all posts

Friday, August 21, 2026

10,000+ Pages of Free Programming Notes: Download Books for Java, Python, JavaScript, C++, Linux & More

10,000+ Pages of Free Programming Notes: Download Books for Java, Python, JavaScript, C++, Linux & More

Looking for free programming books and coding notes? GoalKicker provides a collection of programming books covering Java, Python, JavaScript, SQL, C, C++, HTML, CSS, Linux, Git, Node.js and many other subjects.

These resources can be useful for students, beginner programmers, developers and anyone building a personal collection of programming reference material.



📚 Quick Summary:
✔ 10,000+ pages of programming material
✔ Multiple programming languages
✔ Web development resources
✔ Linux and Git references
✔ 40+ subjects available

Table of Contents

What Is GoalKicker?

GoalKicker is a website that provides programming books and reference material across many technology topics. The collection covers beginner and advanced subjects, making it useful as a supplementary learning resource.

Instead of searching separately for notes on different programming languages, you can explore multiple subjects from one collection.

Free Programming Books and Notes

☕ Java

Learn Java programming concepts, syntax, object-oriented programming and more.

📥 Open Java Book

🐍 Python

Python is widely used for automation, scripting, web development, data analysis and artificial intelligence.

📥 Open Python Book

🟨 JavaScript

JavaScript is an essential technology for interactive websites and modern web applications.

📥 Open JavaScript Book

🗄️ SQL

SQL is used for working with relational databases and is an important skill for developers and data professionals.

📥 Open SQL Book

🧠 Algorithms and Data Structures

Data structures and algorithms are important for understanding problem-solving and writing efficient programs.

📥 Open Algorithms Book

🔵 C Programming

C is one of the foundational programming languages and remains important for systems programming and computer science education.

📥 Open C Programming Book

⚙️ C++

C++ is used in software development, game development, systems programming and performance-focused applications.

📥 Open C++ Book

🟢 Node.js

Node.js allows JavaScript to be used for server-side and backend development.

📥 Open Node.js Book

Web Development Books

🌐 HTML5

HTML provides the structure and content of webpages.

📥 Open HTML5 Book

🎨 CSS

CSS is used to design webpages, control layouts and create responsive user interfaces.

📥 Open CSS Book

Linux and Developer Tools

🐧 Linux

Linux knowledge can be valuable for developers, server administrators and users interested in command-line environments.

📥 Open Linux Book

🔧 Git

Git is a version-control system used to track changes in code and collaborate on software projects.

📥 Open Git Book

Programming Topics Included

Topic Useful For
Java Programming and application development
Python Automation, scripting and programming
JavaScript Interactive websites and web applications
SQL Database queries and data management
C Programming fundamentals and systems
C++ Software and performance-focused development
Node.js Backend JavaScript development
HTML & CSS Web development
Linux Command-line and operating-system skills
Git Version control

40+ Programming and Technology Subjects

The collection contains many additional subjects beyond the programming books listed above.

🚀 EXPLORE ALL PROGRAMMING BOOKS →

📚 Explore 40+ Programming Books

Find free programming reference material for multiple languages and technologies.

VIEW ALL BOOKS

How to Use These Programming Notes Effectively

Downloading or bookmarking hundreds of resources does not automatically improve your programming skills. Use the material as part of a structured learning process.

1. Choose One Subject

Start with one programming language instead of jumping between Java, Python, C++ and JavaScript.

2. Learn the Fundamentals

Focus first on:

  • Variables
  • Data types
  • Conditions
  • Loops
  • Functions
  • Data structures
  • Object-oriented programming where relevant

3. Write Code

Don't only read. Test examples and create your own small programs.

4. Build Projects

Once you understand the basics, build small projects such as:

  • Calculator
  • To-do application
  • Quiz program
  • Personal website
  • File organizer
  • Simple database application

5. Use Documentation as a Reference

As you become more experienced, combine learning notes with current official documentation for the language or tool you are using.

Suggested Learning Path

Choose a Programming Goal
          ↓
Select One Language
          ↓
Learn Fundamentals
          ↓
Read Documentation
          ↓
Practice Every Day
          ↓
Build Small Projects
          ↓
Learn Git & Version Control
          ↓
Build a Portfolio
          ↓
Choose a Specialization

Who Can Use These Resources?

These programming books and notes may be useful for:

  • Programming beginners
  • Computer science students
  • Web developers
  • Python learners
  • JavaScript learners
  • Linux users
  • Developers refreshing programming concepts

Conclusion

If you're building your programming knowledge, having access to multiple reference books can be helpful. This collection covers popular languages including Java, Python, JavaScript, SQL, C, C++, Node.js, HTML, CSS, Linux and Git.

The best approach is to choose one learning path, practice regularly and use reference books when you need additional explanations or examples.

💻 Continue Learning on HACKER WORLD

Explore more articles in:

  • Programming
  • Python
  • Web Development
  • JavaScript
  • Coding Resources
  • Termux & Linux
  • Free Courses

Frequently Asked Questions

Are these programming books useful for beginners?

Many of the books cover programming concepts that can be useful to beginners, although some subjects may require prior knowledge.

Which programming language should I start with?

Python is a popular choice for general programming beginners. For web development, HTML, CSS and JavaScript are useful foundational technologies.

Can I learn programming only by reading books?

Reading is useful, but programming requires practical experience. Write and test code while studying.

What should I learn after programming basics?

After learning fundamentals, build projects, learn Git and explore a specialization such as web development, backend development, data analysis or another area.

Tuesday, August 18, 2026

10 Best Python Projects for Beginners in 2026

10 Best Python Projects for Beginners in 2026 – Learn Python by Building

Learning Python becomes much easier when you stop focusing only on syntax and start building real projects. Whether you're completely new to programming or already know Python basics, practical projects can help you understand variables, functions, loops, files, APIs and automation.

In this guide, we'll explore 10 beginner-friendly Python projects for 2026. These projects range from simple command-line applications to useful automation tools.

Tip: Don't try to build all 10 projects at once. Start with the easiest project, understand every line of code, and gradually move toward more advanced projects.

Table of Contents

Why Learn Python Through Projects?

Reading programming tutorials can teach you the basic concepts, but building projects forces you to apply them.

Projects help you practice:

  • Variables and data types
  • Conditional statements
  • Loops
  • Functions
  • Lists and dictionaries
  • File handling
  • Error handling
  • Modules and libraries
  • APIs
  • Automation

Building projects also gives you something practical to demonstrate when creating a portfolio.

What You Need to Start

You don't need an expensive computer to begin learning Python.

You can use:

  • A Windows, Linux or macOS computer
  • Python 3
  • A code editor
  • A terminal or command prompt

Android users can also experiment with Python through compatible terminal environments such as Termux.

1. Python Calculator

A calculator is one of the easiest Python projects for beginners.

You can start by supporting basic mathematical operations:

  • Addition
  • Subtraction
  • Multiplication
  • Division

Example

num1 = float(input("Enter first number: "))
num2 = float(input("Enter second number: "))

print("Addition:", num1 + num2)
print("Subtraction:", num1 - num2)
print("Multiplication:", num1 * num2)

if num2 != 0:
    print("Division:", num1 / num2)
else:
    print("Cannot divide by zero.")

What You'll Learn

  • User input
  • Numbers
  • Arithmetic operators
  • Conditional statements

2. To-Do List Application

A simple to-do application is an excellent project for learning lists and file handling.

Basic features can include:

  • Add a task
  • View tasks
  • Complete a task
  • Delete a task
  • Save tasks to a file

Once you understand the command-line version, you can create a graphical version using a suitable Python GUI framework.

What You'll Learn

  • Lists
  • Functions
  • Loops
  • File handling

3. Password Generator

A password generator can help you practice Python's randomization and string-handling features.

A basic project can generate passwords containing:

  • Uppercase letters
  • Lowercase letters
  • Numbers
  • Symbols

Example

import secrets
import string

characters = string.ascii_letters + string.digits + string.punctuation

password = ''.join(
    secrets.choice(characters)
    for _ in range(16)
)

print(password)

For applications involving real credentials, use well-established password-management solutions rather than relying on a beginner project.

4. Number Guessing Game

The number guessing game is a simple and fun project for practicing loops and conditional statements.

The program selects a number and asks the player to guess it.

Possible Features

  • Random number generation
  • Limited attempts
  • Difficulty levels
  • Score system
  • Play-again option

What You'll Learn

  • Loops
  • Conditions
  • Random numbers
  • User input

5. Quiz Application

A quiz application is a great project for learning dictionaries, lists and functions.

You can create questions about:

  • Python
  • Technology
  • Science
  • Geography
  • General knowledge

The application can display questions, accept answers and calculate the final score.

Ideas for Improvement

  • Add multiple-choice questions
  • Add difficulty levels
  • Randomize questions
  • Save high scores
  • Add a timer

6. Expense Tracker

An expense tracker is a useful real-world project.

You can allow users to record:

  • Date
  • Description
  • Category
  • Amount

The program can then calculate total spending and display expenses by category.

What You'll Learn

  • Lists and dictionaries
  • File handling
  • Data processing
  • Functions

Later, you can upgrade the project by storing data in SQLite instead of a simple text or CSV file.

7. File Organizer

A file organizer is an excellent introduction to Python automation.

The program can examine a directory and organize files into folders based on their extensions.

For example:

Documents/
Images/
Videos/
Music/
Archives/

A file organizer can teach you how Python interacts with the filesystem.

What You'll Learn

  • Directories
  • File extensions
  • Path handling
  • Automation

Always test file-management scripts on sample directories before using them on important files.

8. Weather Application

A weather application is a good project for learning how APIs work.

The general workflow is:

User enters city
       ↓
Python sends API request
       ↓
Server returns data
       ↓
Python processes response
       ↓
Weather information is displayed

You can display information such as:

  • Temperature
  • Weather conditions
  • Humidity
  • Wind speed

You'll need an API provider that permits your intended usage and provides you with an API key where required.

9. URL Shortener

A URL shortener project can teach you about web APIs and HTTP requests.

Instead of implementing a complete URL-shortening service immediately, beginners can create a Python program that communicates with an appropriate URL-shortening API.

What You'll Learn

  • HTTP requests
  • APIs
  • JSON
  • Error handling

10. Python Automation Tool

Automation is one of Python's most useful real-world applications.

You can build small scripts that automate repetitive tasks such as:

  • Renaming files
  • Creating folders
  • Processing text files
  • Generating reports
  • Converting files
  • Checking directories
  • Processing spreadsheets

Start with a simple task you perform repeatedly and turn that process into a Python script.

Bonus Python Project Ideas

Once you've completed the projects above, try these:

  • Contact book
  • Digital clock
  • Countdown timer
  • Currency converter
  • Unit converter
  • Markdown converter
  • Simple web scraper for permitted websites
  • CLI notes application
  • Log file analyzer
  • Simple REST API

Python Project Roadmap

Level Projects Skills
Beginner Calculator, Guessing Game Variables, conditions, loops
Beginner+ Quiz, To-Do List Functions, lists, files
Intermediate Expense Tracker, File Organizer Data processing, automation
Intermediate+ Weather App, URL Tool APIs, HTTP, JSON

How to Build Your First Python Project

Step 1: Choose a Small Idea

Don't start with a huge application. Pick something you can finish in a few hours or days.

Step 2: Break It Into Features

Write down exactly what the program needs to do before writing the code.

Step 3: Build the Simplest Version

Create a basic working version first. Don't worry about making it perfect.

Step 4: Test Everything

Try normal inputs as well as unexpected inputs. Good error handling is an important programming skill.

Step 5: Add Features

Once the basic version works, add new features one at a time.

Step 6: Document Your Project

Create a README explaining what the project does, how to install it and how to run it.

Common Beginner Mistakes

Copying Code Without Understanding It

Using examples is perfectly fine, but take the time to understand what each important part of the program does.

Starting With a Huge Project

A beginner doesn't need to build the next social network. Small completed projects teach more than unfinished ambitious projects.

Ignoring Errors

Errors are part of programming. Learn to read error messages instead of immediately searching for a replacement program.

Not Using Functions

As your programs become larger, functions make code easier to understand, test and maintain.

How to Make Your Python Projects Better

After completing a basic project, improve it by adding:

  • Input validation
  • Error handling
  • Configuration files
  • Logging
  • Unit tests
  • Documentation
  • Better project structure
  • Version control with Git

Conclusion

Python is one of the easiest programming languages to start with, but the fastest way to improve is to build things.

Start with a calculator or guessing game, then move to a to-do list, expense tracker and file organizer. Once you're comfortable with the basics, start working with APIs and automation.

Don't worry about creating perfect projects. Your goal is to understand the concepts, solve problems and gradually improve your code.

More Programming Guides on HACKER WORLD

Explore our Programming, Termux, Command Line and Coding Resources sections for more tutorials and practical projects.

Frequently Asked Questions

Is Python good for beginners?

Yes. Python has a relatively readable syntax and a large ecosystem of libraries and learning resources, making it a popular choice for beginners.

What is the easiest Python project?

A calculator, number guessing game or simple quiz application is a good starting point.

Can I learn Python by building projects?

Yes. Projects allow you to apply programming concepts and learn how different parts of a program work together.

Can Python run on Android?

Python can be used on Android through suitable applications and environments, including terminal-based environments such as Termux.

How many Python projects should a beginner build?

There is no fixed number. Focus on completing several progressively more difficult projects and understanding the concepts behind them.

Can Python projects help build a portfolio?

Yes. Well-documented projects can demonstrate your programming skills and problem-solving ability.

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Monday, August 17, 2026

Ethical Hacking for Beginners in 2026: Complete Guide to Cybersecurity

Ethical Hacking for Beginners in 2026: Complete Guide to Cybersecurity

Ethical hacking is the practice of testing computer systems, applications and networks with permission to identify security weaknesses before malicious attackers can exploit them.

With cyber threats becoming increasingly sophisticated, ethical hacking and cybersecurity skills are valuable for students, IT professionals, developers, system administrators and security enthusiasts.

This beginner-friendly guide explains what ethical hacking is, how ethical hackers work, what skills you need, which tools are commonly used, how to build a legal cybersecurity lab and how to start learning ethical hacking in 2026.

Important: Only test systems, networks, accounts and applications when you have explicit authorization. Never use security tools against systems you do not own or have permission to assess.

Table of Contents

What Is Ethical Hacking?

Ethical hacking is an authorized security assessment in which a security professional attempts to identify weaknesses in a system so they can be fixed.

An ethical hacker may examine:

  • Web applications
  • Mobile applications
  • Networks
  • Cloud environments
  • Servers
  • Authentication systems
  • APIs
  • Devices
  • Security configurations

The most important difference between ethical hacking and malicious hacking is authorization and intent.

What Makes Hacking Ethical?

Ethical hacking requires more than technical knowledge. A security test should have clearly defined boundaries.

1. Permission

You must have permission from the owner of the system before performing security testing.

2. Scope

The authorized scope should clearly identify what systems, applications, domains or environments can be tested.

3. Rules of engagement

Professional security assessments normally define testing procedures, timing, restrictions and communication requirements.

4. Responsible reporting

Security weaknesses should be documented and reported to the appropriate owner so they can be fixed.

Types of Ethical Hacking

Web Application Security

Web application security focuses on identifying weaknesses in websites and web applications.

Common areas include authentication, authorization, input validation, session management and security configuration.

Network Security

Network security assessments examine network architecture, exposed services, segmentation and configuration.

Mobile Security

Mobile application security examines Android and iOS applications for weaknesses in application logic, data storage, authentication and communication.

Cloud Security

Cloud security assessments examine configurations, identity management, access controls and exposed resources in cloud environments.

API Security

Modern applications frequently depend on APIs. API security testing focuses on authentication, authorization, input handling, data exposure and configuration.

Wireless Security

Wireless security focuses on authorized testing of Wi-Fi networks and wireless infrastructure.

Skills You Need to Learn Ethical Hacking

You don't need to know everything before starting. Build your skills progressively.

1. Computer Fundamentals

Understand operating systems, files, processes, permissions, applications and basic system administration.

2. Networking

Learn concepts such as:

  • IP addresses
  • TCP and UDP
  • DNS
  • HTTP and HTTPS
  • Ports
  • Routing
  • Firewalls
  • VPNs
  • Network protocols

3. Linux

Linux is widely used in cybersecurity. Learn the terminal, filesystem, permissions, processes, package management and basic shell scripting.

4. Programming

You don't need to become a professional software engineer, but programming knowledge is extremely useful.

Good languages to learn include:

  • Python
  • JavaScript
  • Bash
  • SQL

5. Web Technologies

Understanding HTML, CSS, JavaScript, HTTP requests, cookies, sessions and APIs will make web-security concepts much easier to understand.

Linux for Ethical Hacking

Linux is an important part of many cybersecurity workflows.

Beginners should first learn a normal Linux distribution rather than immediately focusing on specialized security distributions.

Important topics include:

  • Terminal commands
  • File permissions
  • Users and groups
  • Processes
  • Networking commands
  • Package management
  • Shell scripting
  • SSH

Once you understand Linux fundamentals, security-focused environments become much easier to use.

Networking Basics for Ethical Hackers

Networking knowledge is one of the most important foundations of cybersecurity.

IP Address

An IP address identifies a network interface or host within a network.

Port

Ports allow network services to communicate through a host's networking stack.

DNS

The Domain Name System translates domain names into network addresses and provides other types of DNS information.

HTTP and HTTPS

HTTP is a major protocol used by websites and web applications. HTTPS adds encryption through TLS.

Firewall

A firewall controls network traffic according to defined rules.

Web Application Security

Web applications are an important area of cybersecurity because they process user data and frequently connect to databases, APIs and external services.

Security professionals commonly study topics such as:

  • Authentication
  • Authorization
  • Session management
  • Input validation
  • Access control
  • Cryptography
  • Security headers
  • API security
  • File-upload security
  • Configuration security

OWASP

The Open Worldwide Application Security Project (OWASP) is an important resource for learning about application security.

The OWASP Top 10 is widely used as an educational reference for understanding common web-application security risks.

Common Ethical Hacking Tools

Security professionals use many different tools depending on the type of assessment.

Wireshark

Wireshark is a network protocol analyzer that can help security professionals understand network traffic in authorized environments.

Use: Network analysis and troubleshooting.

Nmap

Nmap is a network discovery and security-auditing tool commonly used to understand hosts and services within authorized environments.

Use: Network discovery and auditing.

Burp Suite

Burp Suite is widely used for testing web applications and understanding HTTP requests and responses.

Use: Authorized web application security testing.

OWASP ZAP

OWASP ZAP is an open-source web application security testing tool.

Use: Web application security education and authorized testing.

Metasploit Framework

Metasploit is a security testing framework used by professionals and researchers in controlled environments.

Use: Security research and authorized penetration testing.

John the Ripper

John the Ripper is a password-security auditing tool that can be used in authorized environments to assess password strength.

Use: Password auditing.

Hashcat

Hashcat is a password-recovery and security-auditing tool commonly used for authorized password testing.

Use: Password security assessment.

How to Build a Legal Ethical Hacking Lab

One of the safest ways to learn cybersecurity is to create your own isolated practice environment.

Option 1: Virtual Machines

You can use virtualization software to create separate virtual machines for security testing and intentionally vulnerable applications.

Option 2: Local Practice Applications

Security-learning projects such as intentionally vulnerable web applications provide controlled environments for practicing defensive and testing concepts.

Option 3: Cybersecurity Training Platforms

Dedicated cybersecurity training platforms provide legal environments designed specifically for security education.

Basic Lab Structure

Your Computer
     |
     +-- Virtual Machine
     |      |
     |      +-- Linux
     |
     +-- Practice Application
     |
     +-- Security Testing Tools

Keep your practice environment isolated from systems that you do not own or have permission to test.

How to Learn Ethical Hacking in 2026

If you are starting from zero, don't begin by memorizing hundreds of commands.

Follow a structured path.

Step 1 — Computer Fundamentals

Learn operating systems, files, permissions and basic troubleshooting.

Step 2 — Networking

Learn IP addressing, DNS, HTTP, ports, protocols, routing and firewalls.

Step 3 — Linux

Learn the Linux terminal and basic system administration.

Step 4 — Programming

Start with Python and learn enough JavaScript, SQL and Bash to understand common application workflows.

Step 5 — Web Security

Learn authentication, authorization, sessions, input validation and secure application development.

Step 6 — Practice

Use intentionally vulnerable applications, CTFs and authorized training laboratories.

Step 7 — Build Projects

Create your own security lab, document what you learn and build defensive projects.

Step 8 — Learn Reporting

A professional security assessment isn't just about finding vulnerabilities. You must be able to explain the issue, its impact and how it can be fixed.

Cybersecurity Certifications

Certifications can help demonstrate structured knowledge, particularly when applying for cybersecurity positions.

Depending on your experience, you may encounter certifications such as:

  • CompTIA Security+
  • Certified Ethical Hacker (CEH)
  • eJPT
  • OSCP
  • CISSP

Don't choose a certification simply because it sounds advanced. Select one that matches your current skill level and career goal.

Ethical Hacking Career Options

Ethical hacking knowledge can lead into several cybersecurity career paths.

  • Security Analyst
  • Penetration Tester
  • Application Security Engineer
  • Security Engineer
  • Cloud Security Specialist
  • Vulnerability Analyst
  • Security Consultant
  • Incident Response Analyst
  • Security Researcher

Ethical Hacking vs Cybersecurity

Ethical Hacking Cybersecurity
Focuses heavily on finding weaknesses Covers the broader protection of systems and information
Often involves authorized security testing Includes prevention, detection, response and recovery
Can involve penetration testing Includes many security disciplines

Common Beginner Mistakes

1. Testing random websites

Never scan or attack websites simply because you found them online.

2. Learning tools without fundamentals

Understanding networking and operating systems is more valuable than memorizing tool commands.

3. Using downloaded attack scripts blindly

Understand what code does before executing it, particularly when running security tools.

4. Ignoring documentation

Professional security work requires reading documentation and understanding how systems work.

5. Focusing only on exploitation

Good security professionals understand prevention, secure configuration, monitoring and remediation as well.

Important Legal Rules

Cybersecurity tools can be used for legitimate security research, but authorization matters.

Before testing a system, make sure you understand:

  • Who owns the system
  • Whether you have permission
  • What systems are in scope
  • What activities are permitted
  • What activities are prohibited
  • How findings should be reported

Bug-bounty programs can provide legal testing opportunities, but researchers must follow the specific program's scope and rules.

Best Free Way to Start Ethical Hacking

You don't need an expensive setup to begin.

A beginner can start with:

  • A computer
  • Linux fundamentals
  • Networking fundamentals
  • Python basics
  • Web-development basics
  • Free cybersecurity learning resources
  • An isolated virtual lab
  • Legal CTF or training environments

The most important investment is consistent learning rather than expensive hardware.

Final Verdict

Ethical hacking in 2026 is much more than running security tools. A strong ethical hacker understands operating systems, networks, applications, programming, security principles and responsible vulnerability disclosure.

If you're a beginner, build your foundations first. Learn Linux and networking, understand how websites work, practice inside legal laboratories and gradually move toward advanced security testing.

Most importantly, always obtain authorization before testing a real system.

Explore More Cybersecurity Guides

Explore more cybersecurity tools, privacy guides, Termux tutorials, Linux resources, programming tutorials and ethical hacking resources on HACKER WORLD.

Frequently Asked Questions

What is ethical hacking?

Ethical hacking is authorized security testing performed to identify weaknesses so they can be fixed before malicious attackers exploit them.

Can beginners learn ethical hacking?

Yes. Beginners can start with computer fundamentals, networking, Linux, programming and web technologies before progressing to security testing.

Is ethical hacking legal?

Authorized ethical hacking is a legitimate security activity. Testing systems without permission can have serious legal and security consequences.

Which programming language is best for ethical hacking?

Python is a useful starting language, while JavaScript, SQL and Bash are also valuable for understanding web applications and security workflows.

Which Linux distribution should beginners use?

Beginners can start by learning a mainstream Linux distribution and its fundamentals. Security-focused distributions can be explored later once Linux basics are understood.

What are the best ethical hacking tools?

Common security tools include Wireshark, Nmap, Burp Suite, OWASP ZAP and Metasploit, but tools should only be used in authorized environments.

Can I practice ethical hacking for free?

Yes. You can use free learning resources, intentionally vulnerable applications, CTFs and controlled virtual environments to develop cybersecurity skills.

Tuesday, March 31, 2026

Download Video from Google Drive & Upload to YouTube using Python

Download Video from Google Drive & Upload to YouTube using Python

🚀 How to Download Video from Google Drive & Upload to YouTube using Python

This guide will help you automate the process of downloading videos from Google Drive and uploading them directly to YouTube using Python.


🔧 Step 1: Install Required Libraries

pip install gdown google-api-python-client google-auth-httplib2 google-auth-oauthlib

📥 Step 2: Download Video from Google Drive

Use the following Python script to download a video using the file ID:

import gdown

def download_from_drive(file_id, output_name):
    url = f"https://drive.google.com/uc?id={file_id}"
    gdown.download(url, output_name, quiet=False)

# Example
file_id = "YOUR_FILE_ID"
file_name = "video.mp4"

download_from_drive(file_id, file_name)

📌 How to Get File ID

Example link:

https://drive.google.com/file/d/1ABCxyz123/view?usp=sharing

File ID: 1ABCxyz123


📤 Step 3: Upload Video to YouTube

Before using this script:

  • Create a project in Google Cloud Console
  • Enable YouTube Data API
  • Download client_secret.json
import google_auth_oauthlib.flow
import googleapiclient.discovery
import googleapiclient.http

def upload_to_youtube(video_file):
    scopes = ["https://www.googleapis.com/auth/youtube.upload"]

    flow = google_auth_oauthlib.flow.InstalledAppFlow.from_client_secrets_file(
        "client_secret.json", scopes)
    credentials = flow.run_console()

    youtube = googleapiclient.discovery.build("youtube", "v3", credentials=credentials)

    request = youtube.videos().insert(
        part="snippet,status",
        body={
            "snippet": {
                "title": "My Uploaded Video",
                "description": "Uploaded using Python script",
                "tags": ["automation", "python"],
                "categoryId": "22"
            },
            "status": {
                "privacyStatus": "private"
            }
        },
        media_body=googleapiclient.http.MediaFileUpload(video_file)
    )

    response = request.execute()
    print("Upload Successful:", response)

upload_to_youtube("video.mp4")

⚡ Final Combined Script

file_id = "YOUR_FILE_ID"
file_name = "video.mp4"

download_from_drive(file_id, file_name)
upload_to_youtube(file_name)

⚠️ Important Notes

  • Use only your own or permitted files
  • Do not bypass Google Drive limits
  • First run will require YouTube login permission

💡 Pro Tips

  • Use high-speed internet for faster uploads
  • Optimize video title, tags, and description for SEO
  • Keep videos under YouTube size limits

🔥 Conclusion

This automation script saves time by handling both downloading and uploading processes efficiently. Perfect for content creators and developers!

Wednesday, August 7, 2024

Create Termux Bot which helps to create shorts and reels from YouTube video

Convert YouTube Videos to 30-Second Reels in Termux

Convert YouTube Videos to 30-Second Reels in Termux

Follow these steps to create a bot in Termux that converts YouTube videos into multiple 30-second reels.

Step 1: Set Up Termux

Ensure you have Termux installed on your Android device. Then, update and upgrade the packages:

pkg update && pkg upgrade

Step 2: Install Required Packages

Install the necessary packages: youtube-dl, ffmpeg, and python.

pkg install python ffmpeg
pip install youtube-dl imageio[ffmpeg]

Step 3: Create the Python Script

Create a Python script to download the video, split it into 30-second parts, and save them.

Create a file named yt_reels.py:

nano yt_reels.py

Step 4: Write the Script

Copy and paste the following code into yt_reels.py:

import os
import sys
import youtube_dl
import imageio_ffmpeg as ffmpeg
import math
import subprocess

def download_video(url, output_path):
    ydl_opts = {
        'format': 'best',
        'outtmpl': output_path
    }
    with youtube_dl.YoutubeDL(ydl_opts) as ydl:
        ydl.download([url])

def get_video_duration(input_path):
    result = subprocess.run(
        ['ffprobe', '-v', 'error', '-show_entries', 'format=duration', '-of', 'default=noprint_wrappers=1:nokey=1', input_path],
        stdout=subprocess.PIPE,
        stderr=subprocess.STDOUT
    )
    return float(result.stdout)

def split_video(input_path, output_folder, segment_duration=30):
    duration = get_video_duration(input_path)
    num_segments = math.ceil(duration / segment_duration)

    for i in range(num_segments):
        start_time = i * segment_duration
        output_path = os.path.join(output_folder, f"short_video_{i+1}.mp4")
        subprocess.run(
            ['ffmpeg', '-ss', str(start_time), '-i', input_path, '-t', str(segment_duration), '-c', 'copy', output_path]
        )
        print(f"Saved {output_path}")

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python yt_reels.py ")
        sys.exit(1)

    url = sys.argv[1]
    input_video = "downloaded_video.mp4"
    output_folder = "reels"

    if not os.path.exists(output_folder):
        os.makedirs(output_folder)

    print("Downloading video...")
    download_video(url, input_video)
    print("Splitting video into 30-second reels...")
    split_video(input_video, output_folder)
    print(f"All reels saved in {output_folder}")

Step 5: Run the Script

To run the script, use the following command:

python yt_reels.py <YouTube URL>

Replace <YouTube URL> with the actual URL of the YouTube video you want to convert.

Explanation

Download Video: The script downloads the video from YouTube using youtube-dl.

Get Video Duration: It uses ffprobe to get the total duration of the video.

Split Video: It splits the video into multiple 30-second parts using ffmpeg and saves them in the reels folder.

Additional Features

You can further enhance the script to:

  • Handle errors and edge cases more robustly.
  • Allow custom segment durations.
  • Automate file management (e.g., organize output videos into subfolders).

Ensure you have enough storage space and necessary permissions to read/write files in Termux.