I want to remove the link to the Visitor Counter so I remove the
But this one is happening after you remove a href link or any code. So i asked the ChatGPT to remove and after showing an error i remove also the div id with error_ prefix.
Mersenne Prime and Mersenne Twister are two distinct mathematical/computational concepts that share part of their name but serve completely different purposes. Here’s a breakdown of the differences:
1. Mersenne Prime
Definition: A Mersenne prime is a special type of prime number that can be expressed in the form:
Mn=2n−1
where nnn is a positive integer and MnM_nMn is prime.
Example: For n=2n = 2n=2, M2=22−1=3M_2 = 2^2 – 1 = 3M2=22−1=3 (which is prime). For n=3n = 3n=3, M3=23−1=7M_3 = 2^3 – 1 = 7M3=23−1=7 (which is also prime). However, not all numbers of the form 2n−12^n – 12n−1 are prime (e.g., 24−1=152^4 – 1 = 1524−1=15, which is not prime).
Applications:
Mersenne primes are closely related to perfect numbers, which are integers equal to the sum of their proper divisors.
They are of interest in number theory and are used in cryptographic algorithms.
In summary, while Mersenne primes are a special class of numbers studied in mathematics, the Mersenne Twister is a practical tool for random number generation in computing, inspired by the mathematical properties of Mersenne primes.
Why Are Mersenne Primes Special?
Rare: Not all numbers of the form 2n−12^n – 12n−1 are prime; nnn must itself be prime for 2n−12^n – 12n−1 to have a chance of being prime, but even then, not all such numbers are prime.
Connection to Perfect Numbers: Every Mersenne prime is associated with an even perfect number (a number equal to the sum of its proper divisors).
2. Mersenne Twister
Definition: The Mersenne Twister is a pseudorandom number generator (PRNG) developed by Makoto Matsumoto and Takuji Nishimura in 1997 and designed for generating sequences of random numbers with a very long period. It is named “Mersenne” because its period length is a Mersenne prime, specifically 219937−12^{19937} – 1219937−1.
Purpose: To generate sequences of numbers that approximate true randomness for applications in simulations, games, statistical sampling, and more.
Key Characteristics:
Period: Extremely long period (219937−12^{19937} – 1219937−1).
Speed: Very fast and efficient for generating random numbers.
Quality: Produces numbers with a uniform distribution and passes many statistical tests for randomness.
Applications:
Widely used in simulations, cryptographic applications (though not cryptographically secure), and any situation requiring high-quality random number generation.
Efficiency:
It is computationally efficient, capable of generating random numbers quickly, making it suitable for applications requiring large volumes of random data.
Quality of Randomness:
The Mersenne Twister passes most standard statistical tests for randomness, ensuring the generated sequences appear random and unbiased.
How Does It Work?
The Mersenne Twister works by maintaining an internal state array of size N=624N = 624N=624, with each element being a 32-bit integer. The generator progresses by:
Initialization:
The state array is initialized using a seed value (often a single integer).
Recurrence Relation:
The generator uses a linear recurrence relation to update its state. At each step, a new value is computed by combining elements of the state array using bitwise operations and a carefully chosen set of constants.
Tempering:
The output is “tempered” (processed further) to improve statistical properties and ensure the generated numbers are distributed uniformly.
Applications
Simulations:
Widely used in Monte Carlo simulations and scientific modeling where high-quality random numbers are required.
Games:
Randomness in video games, such as dice rolls, loot drops, or random events, often relies on the Mersenne Twister.
Statistical Sampling:
Random sampling from datasets in statistics and machine learning.
Randomized Algorithms:
Used in algorithms requiring randomness, such as quicksort or hash table probing.
Strengths
Extremely Long Period: The massive period ensures that the generator doesn’t repeat its sequence in realistic use cases.
Speed: Generates random numbers efficiently.
High Quality: It meets strict randomness requirements, making it suitable for most non-cryptographic applications.
Limitations
Not Cryptographically Secure:
The Mersenne Twister is predictable if an attacker knows part of its internal state or a sequence of generated numbers. For cryptographic purposes, use secure PRNGs like Cryptographically Secure PseudoRandom Number Generators (CSPRNGs).
Memory Usage:
The state array of size 624 integers (about 2.5 KB) is larger than simpler PRNGs like the Linear Congruential Generator (LCG).
Initialization Time:
Initializing the state array can be slower compared to simpler generators.
Variants
Several variants of the Mersenne Twister have been developed to address specific use cases:
MT19937:
The original 32-bit version of the Mersenne Twister.
MT19937-64:
A 64-bit version of the Mersenne Twister, designed for 64-bit systems.
TinyMT:
A smaller version with reduced state size, designed for embedded systems or applications with limited memory.
How to Use the Mersenne Twister in Programming
Most modern programming languages and libraries include the Mersenne Twister as the default or available PRNG:
Python
import random
random.seed(42) # Initialize the generator with a seed
print(random.random()) # Generate a random float between 0 and 1
C++
#include <random>
std::mt19937 mt(42); // Initialize with a seed
std::uniform_real_distribution<double> dist(0.0, 1.0);
double random_value = dist(mt); // Generate a random number
Key Differences
Aspect
Mersenne Prime
Mersenne Twister
Nature
Mathematical concept (prime number).
Algorithm for pseudorandom number generation.
Form
2n−12^n – 12n−1, where nnn is a positive integer and 2n−12^n – 12n−1 is prime.
Uses a long recurrence relation to generate random numbers.
A “996” work schedule refers to an unofficial work schedule (9a.m. ~ 9p.m., 6 days a week) that has been gaining in popularity. Serving a company that encourages the “996” work schedule usually means working for at least 60 hours a week.
996 work system: arrive at work at 9 am every day and work until 9 pm. Work 6 days a week.
955 work system: arrive at work at 9 am every day and work until 5 pm. Work 5 days a week.
944 work system: arrive at work at 9 am every day and work until 4 pm. Work 4 days a week.
The following list of companies basically do not belong to the 996 companies, and are relatively close to the 955/965 level, but it still depends on the department and region, and cannot be guaranteed to be completely accurate.
It cannot be guaranteed that all departments are at the level of 955/10-6-5/965/10-7-5
Even if the average level of the department is 955/10-6-5/965/10-7-5, you may still have to work overtime part of the time.
Some departments of some companies in the list may have 975 or even 985 students. Don’t generalize.
Some companies in the list may have some or even more departments with 945, 10-5-5 or 11-6-5, so we have included them in the list.
Currently, most of the companies on the list are in Shanghai because I am in Shanghai and have a relatively good understanding of the situation in Shanghai. This does not mean that most of the 955 companies are in Shanghai. You are welcome to continue voting, and I will add more companies based on the voting results.
About the future
Always know what you want.
What I want now is an environment where I can learn English and technology, so that my choices in the future will not be limited to China, but will be from all over the world.
If you are nostalgic for the high salaries of domestic large companies
If you are afraid of going to a strange place
If you seek stability and are unwilling to change
Please stay in the country, come on.
If you like a challenge
If you like to experience different life
If you yearn for equal human rights, freedom of speech, and a society ruled by law
The world is so big, go out and see it.
There are many things you can’t change, but you can choose to leave
Work System
Hours per Day
Days per Week
Example Company/Industry
Description
996
9 am – 9 pm
6
Some tech companies in China (e.g., Alibaba)
Long hours, prevalent in tech and startup culture in China.
955
9 am – 5 pm
5
Standard corporate companies worldwide
Standard work schedule in many countries.
944
9 am – 4 pm
4
Some creative agencies and consulting firms
Shorter workweek with slightly reduced daily hours.
888
8 am – 8 pm
4 (per week)
Manufacturing industry with rotating shifts
Longer daily hours, common in shift-based industries.
410
10 hours
4
Some government jobs and tech companies
Four-day workweek with 10-hour shifts.
987
9 am – 8 pm
7
Startups in high-growth phases
Intense schedule with no days off for quick scaling.
774
7 am – 7 pm
4
Healthcare workers and emergency services
Long shifts but three consecutive days off.
582
5 am – 8 pm
2
Part-time workers in retail or emergency services
Very long shifts with significant days off.
998
9 am – 9 pm
4 (per week)
IT support companies with alternate workweeks
Alternating week schedule with long daily hours.
1045
10 am – 4 pm
5
Freelancers and part-time workers
Shorter daily shifts for a flexible schedule.
663
6 am – 6 pm
3
Oil and gas industry workers, emergency responders
Intensive shifts with more days off.
964
9 am – 6 pm
4
Innovative tech companies focusing on work-life balance
Balanced workweek for better work-life balance.
9969
9 am – 9 pm
6 (for 9 months)
Construction projects, startups with intense deadlines
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WARNING: channel "pecl.php.net" has updated its protocols, use "pecl channel-update pecl.php.net" to update
pecl/memcached can optionally use PHP extension "igbinary" (version >= 2.0)
pecl/memcached can optionally use PHP extension "msgpack" (version >= 2.0)
downloading memcached-3.2.0.tgz …
Starting to download memcached-3.2.0.tgz (90,722 bytes)
…………………done: 90,722 bytes
18 source files, building
running: phpize
When you are shown the following prompts, you will want to press Enter to select the default option for all of the prompts except for enable sasl. When shown the enable sasl prompt, input “no”, then press Enter.
Configuring for:
PHP Api Version: 20220829
Zend Module Api No: 20220829
Zend Extension Api No: 420220829
libmemcached directory [no] : no
zlib directory [no] : no
use system fastlz [no] : no
enable igbinary serializer [no] : no
enable msgpack serializer [no] : no
enable json serializer [no] : no
enable server protocol [no] : no
enable sasl [yes] : non
enable sessions [yes] :
Once installed, create a configuration file for the extension and restart PHP by running the following commands as root
This is in the Developer FAQ. It takes anywhere between 1 and 10 days. We attempt to review all plugins within 5 business days of submission, but the process takes as long as it takes, depending on the complexity of your plugin.
WordPress plugins are like magical enhancements for your website. They can turn a basic site into a feature-rich powerhouse. But let’s be honest: sometimes the process of creating one can feel more like a grueling task than a fun adventure. Fear not! In this article, we’re going to inject some humor into the process and turn plugin development into a playful experience.
Step 1: The Idea – Fun Starts Here!
First things first: you need an idea for your plugin. It could be anything from a quirky feature to a tool that solves a peculiar problem. Remember, the more fun the idea, the more fun the development will be!
Example: How about a plugin that adds a “Punny Comment of the Day” widget to your site? Imagine visitors chuckling at puns every time they check your blog!
Step 2: Setting Up Your Plugin – The Easy Part
Let’s get started by setting up your plugin’s basic structure. Don’t worry; it’s easier than it sounds.
Create a Plugin Folder: Go to your WordPress installation directory, navigate to wp-content/plugins/, and create a new folder for your plugin. Name it something fun, like punny-comment-widget.
Create the Main Plugin File: Inside your plugin folder, create a file named punny-comment-widget.php. This will be the main file for your plugin.
Add Plugin Header Information: Open punny-comment-widget.php and add the following code at the top:
Step 3: Writing the Code – Let’s Have Some Fun!
Here’s where the magic happens. We’ll create a simple widget that displays a random pun each day.
Register the Widget
Step 4: Testing Your Plugin – Time for Some Giggles
Activate your plugin from the WordPress admin panel (Plugins > Installed Plugins) and then add the widget to your sidebar (Appearance > Widgets). You should see your “Punny Comment Widget” in action. Refresh your site and enjoy the chuckles!
Step 5: Debugging and Refining – Keep the Fun Alive
While your plugin might work perfectly on the first try, don’t be surprised if you encounter some bugs. The key is to approach debugging with a sense of humor. Remember, even the best coders make mistakes.
Check Error Logs: WordPress will often log errors to wp-content/debug.log if you have debugging enabled.
Ask for Help: Don’t be afraid to reach out to the WordPress community for support.
Step 6: Share and Enjoy – Spread the Laughter
Once you’re satisfied with your plugin, share it with the world. You can even create a fun promo video showcasing your plugin’s features. The more you share, the more people will enjoy your playful addition to the WordPress ecosystem.
Conclusion
Creating a WordPress plugin doesn’t have to be a dry, technical task. With a pinch of creativity and a dash of humor, you can turn plugin development into a fun and rewarding experience. So, grab your favorite pun and get coding!
Happy plugin-ing, and remember: in the world of WordPress, there’s always room for a good laugh!
Detect, Respond, and Recover from Cloud Cybersecurity Attacks
This is the fourth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll focus on developing capabilities in logging, security, and alert monitoring, along with techniques for mitigating attacks. You’ll gain valuable knowledge in customizing threat feeds, managing incidents, handling crisis communications, conducting root cause analysis, and mastering incident response and post-event communications. Using Google Cloud tools, you’ll learn to identify indicators of compromise and prepare for business continuity and disaster recovery. Alongside these technical skills, you’ll continue updating your resume and practicing interview techniques.
Put It All Together: Prepare for a Cloud Security Analyst Job
This is the fifth of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, identifying vulnerabilities, incident management, and crisis communications in an interactive capstone project. Additionally, you’ll finalize your resume updates and put to practice all the new interview techniques you’ve learned, preparing you to confidently apply for and interview for jobs in the field.
Cloud Security Risks: Identify and Protect Against Threats
This is the third of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the principles of identity management and access control within a cloud environment, covering key elements like AAA (Authentication, Authorization, and Auditing), credential handling, and certificate management. You’ll also explore essential topics in threat and vulnerability management, cloud-native principles, and data protection measures. Upon completing this course, you will have acquired the skills and knowledge necessary to secure cloud-based resources and safeguard sensitive organizational information. Additionally, you’ll continue to engage with career resources and hone your interview techniques, preparing you for the next step in your professional journey.
Strategies for Cloud Security Risk Management
This is the second of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore widely-used cloud risk management frameworks, exploring security domains, compliance lifecycles, and industry standards such as HIPAA, NIST CSF, and SOC. You’ll develop skills in risk identification, implementation of security controls, compliance evaluation, and data protection management. Additionally, you’ll gain hands-on experience with Google Cloud and multi-cloud tools specific to risk and compliance. This course also incorporates job application and interview preparation techniques, offering a comprehensive foundation to understand and effectively navigate the complex landscape of cloud risk management.
Introduction to Security Principles in Cloud Computing
This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.
Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products. It also introduces Google’s 7 AI principles.
Responsible AI: Applying AI Principles with Google Cloud
This course, Responsible AI: Applying AI Principles with Google Cloud – Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Responsible AI: Applying AI Principles with Google Cloud. As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Prompt Design in Vertex AI
Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course and the final assessment challenge lab to receive a skill badge that you can share with your network.
Introduction to Large Language Models
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Derive Insights from BigQuery Data
Complete the introductory Derive Insights from BigQuery Data skill badge to demonstrate skills in the following: write SQL queries, query public tables, load sample data into BigQuery, troubleshoot common syntax errors with the query validator in BigQuery, and create reports in Looker Studio by connecting to BigQuery data. A skill badge is an exclusive digital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge course, and the final assessment challenge lab, to receive a skill badge that you can share with your network.
Quiet Quitting is the commonly discussed buzzword today with the HR Fraternity. A lot has been spoken about the Great Resignation however that is a very myopic approach to managing Talent. Silent Resignation or Quiet Quitting as it is called in recent times much precedes before the any employee makes the final decision to resign.
Like the Pandemic, this phenomenon also finds its origin to China and the trend was referred to as “tang ping” 躺平 or “lying flat”. This is nothing but a slow protest where employees refuse to overwork or succumb to pressure.
The causes of this behavior include employees feeling that their work is not getting enough appreciation or recognition from the company, both material and non-material, or because the workload is too high, causing employees to feel exhausted to the point of burnout. Blurred boundaries between work and personal life can also be a driving factor for this behavior, because someone is often still busy with work matters outside of working hours or even during holidays. Often here it means when something like this happens repeatedly, not only because of an emergency.
In order for this employee behavior to be anticipated quickly and accurately by the organization, it is necessary for the organization to recognize early on the occurrence of this behavior in its employees. Some of the characteristics of employees who are starting to engage in quiet quitting behavior include:
Not willing to do work outside of their main job.
Going home from work on time and avoiding overtime.
Working according to their portion.
Not wanting to deal with work or answer questions about work obligations during holidays.
Losing interest in becoming an outstanding employee in the company.
Passive during meetings or certain discussions related to work.
Rarely attending events organized by the company.
The debate in this case is that not everyone agrees with the phenomenon of quiet quitting, including according to workplace politeness expert, Pattie Ehsai, stating that you will not succeed in the workplace with such behavior. However, seen from another perspective, this phenomenon cannot be said to be completely wrong because it will actually create clearer boundaries between work life and personal life and more broadly, can realize work life balance. But it cannot be denied that this behavior also has the risk of harming the organization。
Having observed the trend of resignations with a few organizations and some insightful discussions with peers; I have identified classic behavioral patterns in this Quiet Quitting phenomenon. Employees go through 3 classic phases of transition before the ultimate plunge of Resigning. The three stages are as below:
1. Emotional Stage of Quitting: All humans are emotional beings and employees who feel that their expertise and experience is no more valued in workplace often give in to emotional low. At this stage the employee is confused as to what is happening with them and are not able to arrive at conclusive understanding on what to do next. There is an internal conflict between wanting to stay and deciding to move on.
2. Mental Stage of Quitting: Disengagement on a chronic basis indicates that employee is evaluating his / her sustenance at work place. Employees continue to remain active contributors of their work but are mentally no longer committed to the hustle culture. There is a conscious effort to avoid work stress. Employees have internalized the fact that they are no longer enjoying their engagement with the current organization.
3. Physiological Stage of Quitting: This is the most visible of all stages; where employees openly expressing their discomfort and willingness to move on. Employees no more want to shy away from accepting that they are actively exploring options outside of workplace. A very cliché yet commonly used phrase by employees at this phase; ‘itna paise mein itnaich milega”
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