Freee Website to generate barcode or QRcode

 https://qrcode.tec-it.com/en

step-by-step guide on how to create a Linktree for your company:

 Here's a step-by-step guide on how to create a Linktree for your company:

1. Visit Linktree's Website: Go to the Linktree website: https://linktr.ee/.

2. Sign Up or Log In: If you don't have an account, sign up using your email or social media accounts. If you already have an account, log in.

3. Create Your Linktree:

   • Once logged in, you'll be prompted to create your Linktree.
   • Click on the "+ Add New Button" to add your first link.
   • Enter the title for the link (e.g., YouTube) and the URL.
   • Continue adding buttons for other links you want to include (e.g., WhatsApp, social media profiles, website).

4. Customize Your Linktree:

   • Customize the appearance of your Linktree by choosing a theme and updating colors to match your company's branding.
   • Add a profile picture or company logo for a more personalized touch.

5. Arrange Your Links:

   • Drag and drop the links to arrange them in the desired order.
   • You can also add or remove links as needed.

6. Settings:

   • Explore the settings to customize your Linktree further. You can change the Linktree URL, add analytics, and set up other preferences.

7. Save and Share:

   • Once you are satisfied with your Linktree setup, save your changes.
   • Copy the Linktree URL provided (e.g., linktr.ee/YourCompanyName) and share it on your YouTube channel, WhatsApp, social media, or any other platform where you want users to access multiple links easily.

8. Promote Your Linktree:

   • Consider promoting your Linktree in your YouTube video descriptions, WhatsApp status, social media profiles, and any other relevant channels.

That's it! Your Linktree is ready to help your audience access various links associated with your company from a single, convenient location.

web scraping reference

 https://juangsalazprabowo.medium.com/how-to-scraping-a-website-using-php-curl-in-laravel-framework-446ea0e97219

docker site goes down, due to ssl renewal error

sudo certbot -i nginx -d mqbakery.com -d *.mqbakery.com -a manual

sudo nginx -t

sudo systemctl reload nginx

 or

 

docker stop docker-webserver-1
docker start docker-webserver-1

NB- When you add acme challenge in godaddy, don't forget to remove the domain name from txt name. eg:_acmechallenge.mqbakery.com may be written as only acme_challenge

Steps to Install Python

 sudo apt update
sudo apt install python3

Verify Installation:

python3 --version

python3
 

sudo apt install python3-pip

pip3 --version

Interpreter - 

Python3 filename.py

 

Google Analytics

https://support.google.com/analytics/answer/9304153?hl=en

https://analytics.google.com/analytics/web/#/p213025502/reports/intelligenthome

https://www.youtube.com/watch?v=QmEOPuJr05w&list=PLI5YfMzCfRtZ4bHJJDl_IJejxMwZFiBwz&index=4

Setting up a Google Analytics account involves a few steps. Follow these step-by-step instructions:

1. Create a Google Account: If you don't have a Google Account, you'll need to create one. Visit the Google Account creation page and follow the instructions.

2. Sign in to Google Analytics: Once you have a Google Account, go to the https://analytics.google.com/analytics/web/#/ and sign in with your Google Account credentials.

3. Set Up a New Google Analytics Account:

   • Click on the "Start for free" button.
   • Fill in your Account Name, which is typically the name of your business or website.
   • Choose what you want to measure (select "Web" for a website).

4. Set Up a Property:

   • Enter the Website Name and Website URL.
   • Choose the industry category that best describes your business.
   • Select the reporting time zone.

5. Configure Data Sharing Settings:

   • Decide whether you want to share data with Google and its partners. Adjust the settings according to your preference.

6. Create a Google Analytics 4 Property:

   • You will be prompted to create a Universal Analytics property or a Google Analytics 4 property. It's recommended to create a Google Analytics 4 property, as it is the latest version of Google Analytics.

7. Agree to Terms and Create:

   • Read and accept the terms of service.
   • Click on the "Create" button to create your Google Analytics account and property.

8. Install the Tracking Code:

   • After creating your property, you will be given a tracking code (a unique snippet of code). Copy this code.
   • Paste the tracking code into the HTML of every page on your website, just before the closing </head> tag.

9. Verify Tracking Installation:

   • After installing the tracking code, go back to your Google Analytics account.
   • Click on "Home" in the left-hand menu.
   • Look for the Realtime section, and if your tracking is set up correctly, you should see data in the Realtime report.

10. Explore Google Analytics:

• Once your account is set up and the tracking code is installed, explore the various reports and features available in Google Analytics. You can find information on user behavior, website traffic, and more.

Remember that it may take some time for data to appear in your reports, so be patient. Regularly check your Google Analytics account to gain insights into your website's performance and user behavior.

Below is the Google tag for this account. Copy and paste it in the code of every page of your website, immediately after the <head> element. Don’t add more than one Google tag to each page.

free courses available for Artificial Intelligence (AI)

 There are several excellent free courses available for Artificial Intelligence (AI) studies. Here are some of the best free courses for AI:

1. Stanford University's CS229: Machine Learning: This course is available for free online and covers various machine learning algorithms and techniques. It is widely regarded as one of the best resources for learning machine learning.

2. Stanford University's CS231n: Convolutional Neural Networks for Visual Recognition: This course focuses on deep learning techniques applied to computer vision. It covers topics such as CNNs, image classification, object detection, and more.

3. University of Helsinki's Elements of AI: This online course provides a beginner-friendly introduction to AI. It covers various AI concepts and applications, offering a comprehensive overview of the field.

4. Google's Machine Learning Crash Course: This free online course offers an introduction to machine learning concepts. It covers topics such as linear regression, classification, neural networks, and more.

5. Microsoft's Artificial Intelligence (AI) Ethics, Law, and Policy: This course explores the ethical implications of AI. It covers topics such as fairness, transparency, privacy, and bias in AI systems.

6. deeplearning.ai's Deep Learning Specialization: This specialization on Coursera offers the first course, "Neural Networks and Deep Learning," for free. It provides a comprehensive introduction to deep learning techniques.

7. Berkeley's Artificial Intelligence: This course, available on edX, covers various AI topics such as search algorithms, logic, planning, and more. It provides a solid foundation in AI principles.

8. Fast.ai's Practical Deep Learning for Coders: This course is designed to make deep learning accessible for coders. It covers practical aspects of deep learning and provides hands-on experience with real-world applications.

9. UC San Diego's Machine Learning Fundamentals: This course offers an overview of machine learning principles, algorithms, and applications. It covers topics such as regression, clustering, and reinforcement learning.

10. IBM's Applied AI: This course on Coursera explores various AI applications in industries like healthcare, finance, and cybersecurity. It offers insights into how AI is being used in real-world scenarios.

These free courses provide a solid foundation in AI and cover a range of topics including machine learning, deep learning, ethics, and applications. They are a great way to get started and gain knowledge in the field of AI without incurring any cost.

AI tools

To help you with coding

 

 https://www.blackbox.ai/

 

 

sudo apt-update throwing "connection timed out error"

 If you face this "connection timed out error"

$ sudo apt update 
  Could not connect to in.archive.ubuntu.com:80 (*2403:8940:ffff::f*), connection timed out Could not connect to in.archive.ubuntu.com:80 (103.97.84.254), connection timed out
Err:8 http://in.archive.ubuntu.com/ubuntu bionic-updates InRelease
  Unable to connect to in.archive.ubuntu.com:http:
Err:9 http://in.archive.ubuntu.com/ubuntu bionic-backports InRelease
  Unable to connect to in.archive.ubuntu.com:http:

------------------------------------------------------------------------

1)sudo nano /etc/apt/sources.list

2) replace all http://**xx**.archive.ubuntu.com/ubuntu... to http://archive.ubuntu.com/ubuntu ...

https://askubuntu.com/questions/1198621/apt-get-cannot-connect-to-ubuntu-archives  

Create a bootable USB stick on Ubuntu

 

Download the Ubuntu to your system

1. Insert your USB stick (select ‘Do nothing’ if prompted by Ubuntu)
2. On Ubuntu 18.04 and later, use the bottom left icon to open ‘Show Applications’
3. In older versions of Ubuntu, use the top left icon to open the dash
4. Use the search field to look for Startup Disk Creator
5. Select Startup Disk Creator from the results to launch the application

REFERENCES:

https://ubuntu.com/tutorials/create-a-usb-stick-on-ubuntu#3-launch-startup-disk-creator

FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory

 

See the current value of max-old-space-size (in MB)

 

node -e 'console.log(v8.getHeapStatistics().heap_size_limit/(1024*1024))'

 

That said, to increase the memory, in the terminal where you run your Node.js process:

 export NODE_OPTIONS="--max-old-space-size=8192"

Reference 

https://stackoverflow.com/questions/53230823/fatal-error-ineffective-mark-compacts-near-heap-limit-allocation-failed-javas 

Test using REQBIN

 

 

1) Go to the website https://reqbin.com/curl

2) paste the curl and run to see validation errors

RESIZE AWS DISK SPACE - increase volume for ubuntu ec2 instance

 

To increase the storage space of an Amazon EC2 instance, you can follow these general steps. Keep in mind that this process may vary slightly depending on the EC2 instance type and your specific requirements:

1. Create a Backup (Snapshot): Before making any changes, it's crucial to create a backup (snapshot) of your EC2 instance's EBS (Elastic Block Store) volume. This ensures that you have a point-in-time copy of your instance's data that you can restore if anything goes wrong during the resizing process.

   To create a snapshot, go to the AWS Management Console, navigate to the "EC2" service, select "Volumes" from the left sidebar, find your instance's EBS volume, right-click it, and choose "Create Snapshot."

2. Stop the EC2 Instance: To make changes to the instance's storage, you will typically need to stop it first. In the AWS Management Console, right-click your instance, and choose "Instance State" > "Stop."

3. Resize the EBS Volume: After stopping the instance, you can resize the EBS volume attached to it. Here's how:

   a. In the AWS Management Console, go to "EC2" and navigate to the "Volumes" section.

   b. Find the EBS volume that is attached to your EC2 instance.

   c. Right-click the volume and choose "Modify Volume."

   d. In the "Modify Volume" dialog, increase the volume size to your desired capacity.

   e. Confirm the changes, and AWS will perform the resize operation. This process usually completes quickly, but it might take a few minutes.

4. Start the EC2 Instance: Once the volume is resized, you can start your EC2 instance again. Right-click your instance in the AWS Management Console and choose "Instance State" > "Start."

5. Resize the File System: After resizing the EBS volume, you'll need to resize the file system on the instance to make use of the additional storage space. This step depends on the operating system you're using:

   • For Linux: If you're using Linux, you can use the resize2fs command to resize the file system. For example, if you're using ext4, you can run:

     bash
     lsblk //to find out partition name xvda1
     df -hT //to find the type of partition 
     sudo growpart /dev/xvda 1       //to extend the partition (eg: sudo growpart /dev/nvme0n1 1)
     
     findmnt -no FSTYPE /            //check the file system
     
     if the result is ext4
     
     
     sudo resize2fs /dev/xvda1       /to resize (eg: sudo resize2fs /dev/nvme0n1p1)
      

1. Verify the Storage Increase: 

    

   df -h 

Remember that these steps might vary slightly based on your specific EC2 instance type, region, and operating system. Always take precautions and create backups before making changes to your EC2 instance's storage to prevent data loss.