#PHP math operations

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PHP Numbers Tutorial with Examples for Beginners

Learn all about PHP Numbers including integers, floats, arithmetic operations, type checks, casting, and formatting with examples and functions. PHP – Numbers: A Complete Guide Numbers are a fundamental part of programming, and PHP is no exception. In PHP, numbers are used for arithmetic operations, comparisons, loops, and much more. PHP supports several types of numeric values including…

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Getting Started with PHP: A Beginner's Guide to Your First "Hello World" Program

Introduction

PHP tutorial for beginners and professionals provides in-depth knowledge of PHP scripting language. Our PHP tutorial will help you to learn PHP scripting language easily.

This PHP tutorial covers all the topics of PHP such as introduction, control statements, functions, array, string, file handling, form handling, regular expression, date and time, object-oriented programming in PHP, math, PHP MySQL, PHP with Ajax, PHP with jQuery and PHP with XML.

What is PHP

PHP is an open-source, interpreted, and object-oriented scripting language that can be executed at the server side. PHP is well suited for web development. Therefore, it is used to develop web applications (an application that executes on the server and generates the dynamic page.).

PHP was created by Rasmus Lerdorf in 1994 but appeared in the market in 1995. PHP 7.0 is the latest version of PHP, which was released on 28 November. Some important points need to be noticed about PHP are as follows:

PHP stands for Hypertext Preprocessor.

PHP is an interpreted language, i.e., there is no need for compilation.

PHP can be embedded into HTML.

PHP is an object-oriented language.

PHP is an open-source scripting language.

PHP is simple and easy to learn language.

Why use PHP

PHP is a server-side scripting language, which is used to design dynamic web applications with MySQL database.

It handles dynamic content, database as well as session tracking for the website.

You can create sessions in PHP.

It can access cookies variables and also set cookies.

Using PHP language, you can control the user's to access some pages of your website.

It helps to encrypt the data and apply validation.

PHP supports several protocols such as HTTP, POP3, SNMP, LDAP, IMAP, and many more.

PHP Features

 

 Install PHP

To install PHP, we will suggest you to install AMP (Apache, MySQL, PHP) software stack. It is available for all operating systems. There are many AMP options available in the market that are given below:

 

WAMP for Windows

LAMP for Linux

MAMP for Mac

SAMP for Solaris

FAMP for FreeBSD

XAMPP (Cross, Apache, MySQL, PHP, Perl) for Cross Platform: It includes some other components too such as FileZilla, OpenSSL, Webalizer, Mercury Mail, etc.

 

How to install XAMPP server on windows

We will learn how to install the XAMPP server on windows platform step by step. Follow the below steps and install the XAMPP server on your system.

Step 1: Click on the above link provided to download the XAMPP server according to your window requirement.

Step 2: After downloading XAMPP, double click on the downloaded file and allow XAMPP to make changes in your system. A window will pop-up, where you have to click on the Next button.

Step 3: Here, select the components, which you want to install and click Next.

Step 4: Choose a folder where you want to install the XAMPP in your system and click Next

Step 5: Click Next and move ahead

Step 6: XAMPP is ready to install, so click on the Next button and install the XAMPP.

Step 7: A finish window will display after successful installation. Click on the Finish button

Step 8: Choose your preferred language

Step 9: XAMPP is ready to use. Start the Apache server and MySQL and run the php program on the localhost.

Step 10: If no error is shown, then XAMPP is running successfully

How to run PHP code in XAMPP

Generally, a PHP file contains HTML tags and some PHP scripting code. It is very easy to create a simple PHP example. To do so, create a file and write HTML tags + PHP code and save this file with .php extension.

All PHP code goes between the php tag. It starts with <?php and ends with ?>. The syntax of PHP tag is given below:

<?php   

//your code here 

?>  

How to run PHP programs in XAMPP PHP is a popular backend programming language. PHP programs can be written on any editor, such as - Notepad, Notepad++, Dreamweaver, etc. These programs save with .php extension, i.e., filename.php inside the htdocs folder.

For example - p1.php.

As I'm using window, and my XAMPP server is installed in D drive. So, the path for the htdocs directory will be "D:\xampp\htdocs".

Step 1: Create a simple PHP program like hello world.

<?php      

echo "Hello World!";  

?>  

Step 2: Save the file with hello.php name in the htdocs folder, which resides inside the xampp folder.

Step 3: Run the XAMPP server and start the Apache and MySQL.

Step4: Now, open the web browser and type localhost http://localhost/hello.php on your browser window.

Step 5: The output for the above hello.php program will be shown as the screenshot below

Most of the time, PHP programs run as a web server module. However, PHP can also be run on CLI (Command Line Interface).

Credits – Shweta Patil (Backend)

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Data Science vs. Web Development: What's the Difference?

In today's digital age, both data science and web development are crucial fields that drive innovation and advancement in technology. While they share some similarities in their reliance on coding and programming languages, their primary objectives, tools, and skill sets differ significantly. Data science is a field where experts use their knowledge of programming, math, and statistics to find important information from data. They use machine learning to teach computers to do tasks that humans usually do. The insights they get from this help businesses a lot. On the other hand, web development is about building and looking after websites. It includes things like designing, coding, and managing databases. Web development is used to create web applications that run on servers and we access them through our internet browsers. This article explores the fundamental differences between data science and web development, shedding light on the unique characteristics and contributions of each field.

Definition and Scope: Data Science: Data science is an interdisciplinary field that involves extracting knowledge and insights from data using various techniques and methodologies. It encompasses statistics, machine learning, data mining, data visualization, and data engineering. The goal of data science is to identify patterns, trends, and correlations within vast datasets to make informed business decisions and predictions. Web Development: Web development refers to the process of building and maintaining websites and web applications. It involves coding, designing, and implementing the user interface (UI) and user experience (UX) aspects of websites. Web developers use programming languages such as HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js to create dynamic and interactive web pages.

Objectives: Data Science: The primary objective of data science is to gain actionable insights from data. Data scientists analyze historical and real-time data to make predictions, optimize processes, and enhance decision-making. They build predictive models, conduct statistical analyses, and apply machine learning algorithms to solve complex problems and identify valuable patterns. Web Development: Web development aims to create functional, aesthetically pleasing, and user-friendly websites and web applications. Web developers focus on designing the front-end, responsible for the visual elements users interact with, and the back-end, which handles data processing and storage. The ultimate goal is to provide users with a seamless and engaging experience while ensuring the site's efficiency and performance.

Skill Sets Required: Data Science: Data science demands proficiency in various areas such as statistics, programming (Python, R, or other languages), machine learning, data visualization, database management, and data cleaning and preprocessing. Data scientists must have strong analytical skills to interpret results and communicate their findings effectively. Web Development: Web developers need expertise in front-end technologies like HTML, CSS, and JavaScript for designing web interfaces. Additionally, they should have knowledge of back-end technologies like Node.js, Python, PHP, or Ruby on Rails to handle server-side operations and manage databases. Creativity, problem-solving, and attention to detail are also essential traits for web developers.

Data Science Workflow vs. Web Development Process: Data Science Workflow: Data science projects generally follow a structured workflow that involves: Problem Definition: Clearly defining the business problem or research question to be addressed. Data Collection: Gathering relevant data from various sources, including databases, APIs, and web scraping. Data Cleaning and Preprocessing: Removing inconsistencies, handling missing values, and preparing the data for analysis. Exploratory Data Analysis (EDA): Analyzing and visualizing the data to gain initial insights. Model Building: Developing and training predictive models using machine learning algorithms. Model Evaluation: Assessing model performance and fine-tuning parameters. Deployment: Implementing the model in a production environment for real-world use. Web Development Process: Web development projects generally follow a sequential process that involves: Planning and Requirement Gathering: Understanding the project scope, user requirements, and business objectives. Design: Creating wireframes and mockups to visualize the website's layout and user interface. Front-end Development: Writing code for the user-facing aspects of the website using HTML, CSS, and JavaScript. Back-end Development: Building the server-side logic and integrating databases for data management. Testing: Conducting thorough testing to identify and fix bugs and ensure website functionality across different devices and browsers. Deployment: Launching the website or web application on a server or hosting platform for public access.

Applications and Impact: Data Science: Data science finds applications in various industries, including finance, healthcare, marketing, e-commerce, and more. It helps companies make data-driven decisions, improve customer experiences, optimize supply chains, detect fraud, and personalize recommendations. Data science has a significant impact on businesses' efficiency, profitability, and strategic planning. Web Development: Web development impacts the way we interact with the internet and access information. It has transformed industries such as e-commerce, education, communication, and entertainment. Web development has contributed to the growth of online businesses, improved accessibility, and enhanced user experiences on the web. Conclusion: In conclusion, data science and web development are two distinct but essential fields in the world of technology. Data science focuses on analyzing and interpreting data to gain valuable insights and make predictions, while web development revolves around designing and building functional and visually appealing websites and web applications. Both fields contribute significantly to advancing technology, improving user experiences, and driving innovation in various industries. Understanding the differences between data science and web development helps individuals choose the career path that aligns with their interests, skills, and aspirations, leading to meaningful contributions to the digital world.

[skillslash]

Data Science vs. Web Development: What's the Difference?

Introduction:

In today's digital age, both data science and web development are crucial fields that drive innovation and advancement in technology. While they share some similarities in their reliance on coding and programming languages, their primary objectives, tools, and skill sets differ significantly. 

Data science is a field where experts use their knowledge of programming, math, and statistics to find important information from data. They use machine learning to teach computers to do tasks that humans usually do. The insights they get from this help businesses a lot.

On the other hand, web development is about building and looking after websites. It includes things like designing, coding, and managing databases. Web development is used to create web applications that run on servers and we access them through our internet browsers.

This article explores the fundamental differences between data science and web development, shedding light on the unique characteristics and contributions of each field.

1. Definition and Scope:

Data Science: Data science is an interdisciplinary field that involves extracting knowledge and insights from data using various techniques and methodologies. It encompasses statistics, machine learning, data mining, data visualization, and data engineering. The goal of data science is to identify patterns, trends, and correlations within vast datasets to make informed business decisions and predictions.

Web Development: Web development refers to the process of building and maintaining websites and web applications. It involves coding, designing, and implementing the user interface (UI) and user experience (UX) aspects of websites. Web developers use programming languages such as HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js to create dynamic and interactive web pages.

2. Objectives:

Data Science: The primary objective of data science is to gain actionable insights from data. Data scientists analyze historical and real-time data to make predictions, optimize processes, and enhance decision-making. They build predictive models, conduct statistical analyses, and apply machine learning algorithms to solve complex problems and identify valuable patterns.

Web Development: Web development aims to create functional, aesthetically pleasing, and user-friendly websites and web applications. Web developers focus on designing the front-end, responsible for the visual elements users interact with, and the back-end, which handles data processing and storage. The ultimate goal is to provide users with a seamless and engaging experience while ensuring the site's efficiency and performance.

3. Skill Sets Required:

Data Science: Data science demands proficiency in various areas such as statistics, programming (Python, R, or other languages), machine learning, data visualization, database management, and data cleaning and preprocessing. Data scientists must have strong analytical skills to interpret results and communicate their findings effectively.

Web Development: Web developers need expertise in front-end technologies like HTML, CSS, and JavaScript for designing web interfaces. Additionally, they should have knowledge of back-end technologies like Node.js, Python, PHP, or Ruby on Rails to handle server-side operations and manage databases. Creativity, problem-solving, and attention to detail are also essential traits for web developers.

4. Data Science Workflow vs. Web Development Process:

Data Science Workflow: Data science projects generally follow a structured workflow that involves:

Problem Definition: Clearly defining the business problem or research question to be addressed.

Data Collection: Gathering relevant data from various sources, including databases, APIs, and web scraping.

Data Cleaning and Preprocessing: Removing inconsistencies, handling missing values, and preparing the data for analysis.

Exploratory Data Analysis (EDA): Analyzing and visualizing the data to gain initial insights.

Model Building: Developing and training predictive models using machine learning algorithms.

Model Evaluation: Assessing model performance and fine-tuning parameters.

Deployment: Implementing the model in a production environment for real-world use.

Web Development Process: Web development projects generally follow a sequential process that involves:

Planning and Requirement Gathering: Understanding the project scope, user requirements, and business objectives.

Design: Creating wireframes and mockups to visualize the website's layout and user interface.

Front-end Development: Writing code for the user-facing aspects of the website using HTML, CSS, and JavaScript.

Back-end Development: Building the server-side logic and integrating databases for data management.

Testing: Conducting thorough testing to identify and fix bugs and ensure website functionality across different devices and browsers.

Deployment: Launching the website or web application on a server or hosting platform for public access.

5. Applications and Impact:

Data Science: Data science finds applications in various industries, including finance, healthcare, marketing, e-commerce, and more. It helps companies make data-driven decisions, improve customer experiences, optimize supply chains, detect fraud, and personalize recommendations. Data science has a significant impact on businesses' efficiency, profitability, and strategic planning.

Web Development: Web development impacts the way we interact with the internet and access information. It has transformed industries such as e-commerce, education, communication, and entertainment. Web development has contributed to the growth of online businesses, improved accessibility, and enhanced user experiences on the web.

Conclusion:

In conclusion, data science and web development are two distinct but essential fields in the world of technology. Data science focuses on analyzing and interpreting data to gain valuable insights and make predictions, while web development revolves around designing and building functional and visually appealing websites and web applications. Both fields contribute significantly to advancing technology, improving user experiences, and driving innovation in various industries. Understanding the differences between data science and web development helps individuals choose the career path that aligns with their interests, skills, and aspirations, leading to meaningful contributions to the digital world.

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I’m still thinking about the phrase “floor your floats because it’s faster.” Speaking of things that are frustrating but interesting about programming. I taught myself JavaScript without any previous programming experience, so I missed a lot of fundamental stuff. I learned recently that JavaScript just doesn’t do floating point math all that well (I mean, I knew, I just didn’t know why). I have also learned that by the same token most languages don’t really do it well for the same reasons. The best explanation I’ve felt like I’ve understood is that floating points are a form of exponential notation as far as the computer is concerned, but because it’s exponential there are values that can’t cleanly be represented (think prime numbers). Anyway, the solutions that comes up again and again is to round your number so that it’s precise to the second decimal, and then multiply the whole thing by 100, do your math on whole integers, and then divide by 100 to get your result. It’s still imprecise, but because you’re doing the actual math on something the computer can represent exactly, you’re more likely to end up on a result that’s closer to reality.

Now, if you’re unfamiliar with the way computers do math, this sounds ridiculous, but if you’re at all familiar with computer graphics history, it’s not all that dissimilar to what John Carmack did in his famous Quake inverse square root. He needed an equation that was run thousands of times per frame to be faster, so he converted his values to integers and did his best to rely only on operations that CPUs do inexpensively: https://betterexplained.com/articles/understanding-quakes-fast-inverse-square-root/

He’s doing bitshifting there, which is a bitwise operation, but not the one I was joking about with swizzles. Flooring floats in javascript is a Not Not operation or ~~.

It’s something I never would have known about if I hadn’t gone searching on stack overflow for a good time formatting function in JavaScript (I’ve got a pretty good grasp of modulus operations at this point, but I haven’t used them enough to whip them up quickly).

Anyway, the example I ended up finding used:

var hrs = ~~(duration / 3600); var mins = ~~((duration % 3600) / 60); var secs = ~~duration % 60; The ~~ tells the processor to invert the bits of the stored float twice, which discards everything to the right of the decimal in a way that is inexpensive.

It’s kind of like the optimization of using single quotes for strings in PHP instead of double quotes, unless you need variable parsing. It’s absolutely faster, but you’re not going to notice the effects until you’re doing an absolute assload of it.

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Learn PHP Math Functions with Examples – Complete Guide

Master PHP Math with this complete guide. Learn basic arithmetic, rounding, trigonometry, and random number generation with examples and explanations. 🧮 PHP Math: A Complete Guide to Mathematical Functions in PHP Mathematics is the foundation of programming logic—and PHP provides a robust set of math functions that make it easy to perform calculations, handle complex numbers, and solve…

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Free Online Program.

Is Devops Challenging? Please Note

#toc background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px; .toctitle font-weight: 700;text-align: center;

Content

ÄHnliche JobsuchezurüCkweiter.

Easy Ways To Be A Reliable Software Program Tester.

An Aim To The Future Of Software Application Testing.

User Interface Designer.

Leading 10 Software Application Testing Courses.

ÄHnliche JobsuchezurüCkweiter.

Which type of software testing is in demand?

Yes, of course, you can learn Selenium without knowing Java. Selenium IDE is a GUI based tool but it works only in Mozilla Firefox. However, if you want to create test cases using Selenium WebDriver, you should know one programming language out of - Java, C#, Python, Perl, Ruby, PHP.

A subreddit for those with concerns about operating in the tech market or in a computer-science-related job. I feel that in Workflow as well as QA you can easily 'burn-out' because of the lengthy hrs and repetitive job. For me development tends to be one of the most 'fun' and also therefore lowers the stress degrees. I don't recognize how difficult QA job is as I've never done it.

Easy Ways To Be An Efficient Software Tester.

Is DevOps easy to learn?

Java language and programming for Selenium Java is a vast language. However, You don't need to learn full features of Java as that's not required for selenium automation testing. You only need to learn a selected portion of Java language. That's a good news.

Experience shows that the optimum length of a test instance is between 3-8 steps. Then you will do every person on your team a huge favor, if you write clean and also thorough insect records. It's great technique to keep every one of your important communication in one place. You will require to take another look at information traded in between you and participants of your group. You will certainly do your future self a support by making it available.

How long does it take to learn software testing?

Many employers look for software tester candidates with a bachelor's degree in computer science, math or engineering, although it's not always required. If you've got a lot of experience, a stable work history and solid references or letters of recommendation, it's possible to land a job without a college degree.

and also new ones are still being produced, one should note that roughly 90% of the concepts one learns in a specific language are likewise suitable to totally different languages. When opleiding java testers knows with the core essentials, establishing comparable skills with another language just boils down to understanding the syntactical nuances. creating or coding automation script, I am expanding a lot more burnt out. # 13) Find out more books, short articles, attend testing meetup and also seminars.

Constantly think of what you can do today to relocate closer to that goal and also act appropriately. Testers are extremely passionate at the start of their professions. But when the discovering curve is filled they start feeling bored. They promptly obtain tired of writing the exact same Pest reports and performing the same test situations repeatedly.

An Aim To The Future Of Software Program Testing.

When you develop an arranged framework to store all of your important information you have the ability to collect the appropriate information and form your testing approach for that task. If you do not have a method to keep this details, after that you will certainly miss vital details.

So, quick responses, supported by smart test automation systems, is going to be essential.

A lot more software is being developed, with a lower obstacle to entry, and faster time to market.

At the very same time, testing will certainly continue to become native to the island across other components of the software program lifecycle process, with fast-evolving devices bringing tests within the reach of a lot more staff member.

While they are frequently still the unsung heroes, the work that QA professionals do is significantly acknowledged for its contributions to DevOps.

You will certainly get advice on real-world software program testing, QA, monitoring, test automation, and also advancement proficiency in a wide variety of software growth firms varying from little to large scale.

You and also the developer need to be honored and also satisfied that what has simply been launched is pest totally free (" ish"), not just you. Eventually, as others have claimed, it's a different sort of anxiety. As QA, I was continuously worried that I missed bugs I should have caught. As a programmer, my anxiety comes from feeling like I should understand how to do something already as well as I don't. That stated, it is completely possible that my anxiety degrees in a dev function are not as high because I. still do not make a great deal of huge decisions.

How can I be good tester?

Robotic Process Automation (RPA): Advances in software and AI world have paved the way for Robotic Process Automation (RPA). It is the most recent technology which has the capability to re-invent the business process management landscape. To know more about RPA's role in the software testing industry.

It is important in this regard to look for some advice and real-world assistance from gamers who have some experience in the field, as well as whose insights can aid you when making that critical pre-development decision. to script code, over time, differences will certainly emerge in between the languages. Consequently, activities that operate well in a specific language could be counter and repetitive user-friendly in a various one.

Interface Designer.

Growth can be rather difficult during crunch time when you're required to make style concessions as well as provided no time to clean up your work. But it can be a lot of enjoyable, also, which is in fact more frequently the situation for me. It's a GREAT DEAL easier to handle the job anxiety when you recognize the work and also your coworkers. Much easier to reduce, yes, equally as simple to outsource as development is however. QA is only demanding in that you have much less job safety and security than a dev.

I will collaborate with various other devs on my group if I'm unsure concerning a specific means of doing something, or the pros and cons of 2 things that, to me, appear similarly good/bad. I angle speak for QA given that my experience is in dev however from my interactions with them, it definitely does not appear like a cinch. As soon as you begin surrounding deadlines, everybody in the process feels the warm. I've done both, and also I've been burnt out by numerous aspects of each of them.

When your goals as a tester straighten with the goals of the app, you will certainly have the ability to provide significant outcomes. A tester's mindset can indicate the distinction in between discovering the most important insect in the app and finding absolutely nothing. You simply need to choose which response makes the a lot of sense once you comprehend what the inquiry is. You are provided an application, and also you should decide what must be evaluated, what the result should be, and apply a testing technique. You raise the possibility of somebody on your team falling short to carry out a job when you include more actions to an examination situation.

Discuss what they are doing, what they have actually developed, what situations they have taken into consideration, is there anything you can contribute to help them recognize the product much better. # 7) Collaborate with the QA groups from various other projects also.

Leading 10 Software Application Testing Courses.

Consistency provided by the WebDriver API across languages, simplifies the procedure of porting examination expertise of one language to one more. Examination engineers come to be better assets to their organizations as they can be transferred to any kind of internet project, created in any programs language, and also still have the ability to produce tests for it instantaneously.

[itonlinetraining]

The best tools for backend applications with Python:

The popularity and usage of Python in the software industry are so immense. Since its inception in the early 1990s, an estimated 8.2 million users have used it to create websites and applications, automate processes, and perform data analysis. Despite its present level of popularity, Python had humble origins and, over time, evolved into the language that every developer must have in their toolbox. If you are looking for a career in Python, remember that your intentions are valuable. You should find the best Python course and should learn about Python and its tools:

PyCharm:

As an IDE, PyCharm provides user-friendly auto-completion, suggestions, PEP8 checks, and other tools that improve code quality. You can count on it for capabilities like code inspections, testing support, and clever automatic code refactoring.

PyCharm supports Django, Flask, web2py, and more well-known frameworks. A few database and developer tools for debugging and profiling are already included in the IDE, and they all smoothly interact with Visual Studio Code for added functionality.

Its connections with the NumPy and Matplotlib libraries expand its capabilities for scientific computation. The comprehensive feature set of PyCharm is completed by its integrated testing capabilities, cross-technology interoperability, and remote development capabilities.

Jupyter Notebook

A well-liked open-source web application is Jupyter Notebook. The supported Julia, Python, and R programming languages gave rise to the moniker. With the help of this tool, you may facilitate interactive development, distribute documents with live code, produce visualizations, and more. Furthermore, it allows you to add notes to your codes and uses a console-based technique for document authoring.

Data scientists and machine learning experts prefer this tool for various difficult jobs. This is because Jupyter makes it simpler to write and run your code. After all, you must run one cell to test it rather than the complete program.

Keras:

Python was used to create the deep learning API known as Keras. The tool is used to build deep neural networks and to facilitate different backend neural network computations. The tool is easy to use, flexible, and expandable. It can quickly run on top of various neural networks frameworks such as TensorFlow, CNTK, Theano, Microsoft Cognitive Toolkit, and PlaidML because it is written in Python.

It simplifies the work for building neural networks as it is open-source. To make it simple for you to troubleshoot your code, it also generates detailed and actionable error messages.

The language was first designed to make deep learning models easy to implement. It currently supports Python 2.7 and 3.5.

SciPy:

SciPy is an open-source ecosystem of Python-based libraries used in technical and scientific computing. It is widely utilized in science, math, and engineering. To provide libraries for typical math- and science-related programming activities, SciPy uses other Python packages like NumPy, IPython, or Pandas. 

Selenium:

One of the best Python development tools is, without a doubt, Selenium. It is a free and open-source framework for web application automation. Java, C#, Python, PHP, Perl, Ruby, and .Net are just a few of the various programming languages you can use with Selenium to create test scripts.

Additionally, you can run tests from any browser on any of the three central operating systems, Windows, macOS, and Linux, including Chrome, Firefox, Safari, Opera, and Internet Explorer. 

Test Complete:

Desktop/mobile online testing automation software is called TestComplete. But to utilize it, you need to get a business license. Keyword-driven testing is also possible with TestComplete. It has an intuitive recording and playback feature.

Numerous scripting languages are supported, such as Python, VBScript, and C++ script. Software testers can conduct keyword-driven testing like Robot Framework. This Python tool's ability to recognize GUI elements and identify updates is significant. 

Wrapping it up:

Python is undoubtedly a programming language used by developers in the software industry. The tools mentioned above are Python tools that can be useful for you. Enrolling in an online Python course with placement will look good, enhancing your career.

[wencislyn-quisado-universe-blog]

ENTREP ACTIVITY

1.      SEMI-DETAILED ORGANIZATIONAL PLAN

A.     LEGAL FORM OF BUSINESS

The SAO Company is a Partnership company wherein the organizations were being manage by the  people who have their own capabilities, degree, and role in the company. They plan and research together to create the product.

ORGANIZATIONAL STRUCTURE

B.      JOB SPECIFICATION

C.1 General Manager

*  Graduate in college

*Have a Bachelor’s Degree in Business Management or a Master’s Degree

*  Have a Leadership Skills and knows how to manage time wisely

*  Well train in terms of Math and Budgeting, Analytical Skills, Decision-Making Skills, and Speaking and Writing

C.2 Production Manager

* Degree holder or with a higher diploma

*  Skilled in terms of Business Management, Electrical, Electronic, Mechanical, Process or Production Engineering and a Material Science or Biochemistry.

C.3 Finance Manager

*  College graduate of Business studies or any field that are related to the business.

*  Good in communication skills both oral and written

*   Has the ability to focus and has an analytical mind.

*  Good in persuading other people

*  Degree holder

 C.4 Human Resource Manager

*  Maintain  management guidelines  by preparing and updating

*  Good in oral and written communication

*  Have knowledge about employment Law

*  Degree Holder

              C.5 Marketing Manager                      

*  Good in  math

*  Good in organization and planning skills

*  Good in oral and written communication

*  Adaptability  to the workplace

*  Good in memorization

*  Graduate to any related course

*  Degree Holder

*  Can maintain the workplace teamwork

C.      JOB DESCRIPTIONck t

D.1 General Managert

* A person who knows to manage the operations in large areas within the company.

*  The one who sets policies, operations, create and maintain budgets and coordinate with local management in the company to evaluate employees, company performance and efficiencies.

D.2 Production Manager

*  A person who responsible for the technical management, supervision and control of industrial production process.

*  The one who plans and organize the production schedules.

*  The one who assess projects and resource requirements.

*  A person who estimates, negotiate and agree in terms of budgets and time scales with clients and managers.

 D.3 Finance Manager

*  A person who is responsible for the budget planning and support of the executive management.

*  Responsible in monitoring the company financial operation like the  payroll of the workers and any other transactions in the company.

*  Analyze the market trends and  financial reports

  D.4 Human Resource Manager

*  Responsible for motivating the members

*  Responsible for recruiting, screening, interview and placing workers

*  The one to make a plan and coordinate with the administrator

D.5 Marketing Manager

*Responsible for the development of  the  marketing strategy

*  The one that will manage the  marketing activities  within the company

*  Responsible for the marketing  plan

 D.     ADMINISTRATIVE BUDGET

Table 1. List of Administrative Expenses

PARTICULARS

MONTHLY COST

TRANSPORTATION  COST

PHP  434.00

SALARY

PHP 10, 850.00

EMERGENCY  FUND

PHP 3,100.00

TOTAL ADMIN  EXPENSES

PHP 14, 384.00

 E.      PRE-OPERATING ACTIVITIES EXPENSES

PARTICULARS

COST

DTI  REGISTRATION

PHP 150.00

RENT

PHP 30,000.00

SHELVES ,  TABLES, CHAIRS

PHP 4,500.00

PERSONAL  COMPUTER FOR TRANSACTION

PHP 60,000.00

TOTAL  PRE-OPERATING EXPENSES

PHP 94, 650.00

[trustweightloss]

Does not equal sign script

An exclamation point combined with the equals sign, or a slash combined with an equals sign, are frequently used to stand in for the not equals sign (“!=” and “/=”). However, due to the difficulty in using such commands, a number of alternatives are frequently employed to denote inequality. The not equals sign (≠) can be written using certain Unicode commands such as U+2260 2260,Alt+X in Microsoft Windows. To represent this properly, one should represent the different computations with commas in between them:Ģ + 3 = 5, 5 + 6 = 11, 11 + 5 = 15 Not Equals And Other Equals Sign Variants The intention here is to represent adding the first two numbers together followed by adding another number. People will occasionally write out operations like this: Note that the sign may occasionally be used to connect steps of mathematical operations together in a non-standard way. The field of linguistics sometimes uses the equals sign to denote clitic boundaries, with the sign coming in between the word the clitic is attached to and the clitic itself. Other usages of the equals sign include the usage of the sign in chemistry, where it signals the presence of a double bond between atoms. “Mathematics possesses not only truth, but a supreme beauty - a beauty cold and austere, like that of sculpture.” - Bertrand Russell Meanwhile, Javascript uses the triple equals sign to indicate “equality without type coercion”. Likewise, PHP uses three equals sign to make statements about value equality, showing that the expressions have equal values and share the same data type. For instance, Python uses a double equals sign (“=”) as a comparison operator since the single equals sign is used as an assignment operator. Programming languages that don’t use the equals symbol as a statement of equality have other methods of handling this equality comparison. Languages like Perl, Python, and C continue to use the equals sign as an assignment operator, while languages like Eiffel, Asa, and APL use the equals sign to indicate equivalency. Examples of both types of use for the equals sign can be found in modern programming languages. Other computer languages may use the equals sign with the traditional “equivalency” meaning. Photo: John Sauter via Wikimedia Commons, Public Domain In computer programming languages in general, the equals sign doesn’t exactly mean two things are equivalent, instead, it functions as an assignment operator, setting the value of some statement to a following statement. FORTRAN is believed to be the first computer language to make use of the equals sign, with the sign being included in revisions to FORTRAN in 1957. However, the equals sign is often used in other fields, such as in computer programming. In math, using the equals sign asserts that two statements or variables are equivalent to one another. Beyond that, Rercorde helped introduce the world at large to concepts of data manipulation and quantification, with theories and instructions on applying mathematics to various domains such as navigation, commerce, land surveying, and astronomy. Recorde’s equals sign and other contributions to mathematical theory and operators gave computer scientists a ubiquitous and universally recognized symbol to assign values and assert a quality. It is arguable that Recorde laid the foundation for the discipline of computer science, as computer science is at its core about processing, creating, and collecting data. So the more equations you know, the more you can converse with the cosmos.” - Neil DeGrasse Tyson A vertical equals sign, rather than a horizontal equals sign, may have been used throughout the 1600s, with the now universally used horizontal equal sign becoming standardized over the course of the 1700s. This gave Recorde’s equals sign some extra influence, as when combined with + and – the equals sign could easily be used to assert mathematical equations that took much longer to write out. However, Recorde had introduced English speakers to the now-famous German symbols for subtraction and addition: “+” and “-”. One reason that Recorde’s symbol may have been slow to catch on was that in the 16th century Latin still heavily influenced communication, and the term “aequalis” was frequently just shortened to “Ae” or “oe” if an abbreviation was required. While Recorde’s new equals sign succinctly implied equality between two values, it wasn’t widely adopted until much later. Photo: By Robert Recorde –, Public Domain, A representation of the first known equation, equivalent to 14x + 15 = 71.

[colinsingleton]

Kakeibo

Kakeibo, also referred to as the Japanese way of managing your financial stuff - your income and expenses.

I am a college student, currently pursuing a degree in Management, and I decided to have my studies outside of my home city and far away from home. I lived in a boarding house and my Uncle supported me financially. He sends me money every month - a fixed PHP 5,000 monthly allowance.  I wasn’t aware of the Japanese term  Kakeibo before and I didn’t know I am already doing it when I was still in face-to-face classes before the pandemic.

I have been using Kakeibo back then since I realized that I need to be more rational in managing my finances, and it did really help me to allocate effectively my limited monthly allowance on different expenses that I had while studying and living far from home.

Kakeibo is just easy and simple. There isn’t a lot technicalities in it and you don’t need to have some fancy mathematical knowledge and analytical skills. You just need to list down all the expenses you’ll make. Every single time that you’ll spend your money on something. This way it will help you to be more aware and present at your current financial situation. It will also help you to realize towards if you are spending too much money on your wants and helping you to be wiser in making future spending decisions.

Kakeibo only uses simple mathematical operation, and it is not mostly math. Kakeibo is more like a way of thinking, a self discipline, and also a kind of mental discipline.

That’s how I really loved and admired every Japanese way. It’s so smart, wise, efficient, and innovative.