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difference between PHP and Python Web Development

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  Difference between PHP and Python   Web Development Title:  PHP vs. Python: Choosing the Right Web Development Language (2024 Update) Description:  A detailed comparison of PHP and Python for web development, covering syntax, strengths, use cases, and factors to consider for your project. Keywords:  PHP, Python, web development, web programming, server-side scripting, full-stack development, backend development, syntax, strengths, use cases, decision factors PHP vs. Python: A Comparative Analysis 1. Syntax and Learning Curve PHP: Syntax inspired by C, often considered easier to learn for programmers familiar with C-like languages. Offers a mix of procedural and object-oriented programming styles. Large and active community with extensive online resources. Python: Known for its clear, concise syntax, making it beginner-friendly. Emphasizes readability and maintainability with whitespace indentation. Widely used in various domains beyond web development, enhancing career prospects. 2.

python vs php which is better

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 python vs php which is better Is PHP better than Python? Shorter delays can impact system performance greatly. In this case, using PHP 7 would be recommended over Python. However, if you want to build a simple application where speed and time lag don't have much impact, you can use both Python and PHP. Conclusion: PHP wins in terms of speed and performance Determining whether Python or PHP is "better" depends on the context of what you're trying to accomplish. Both Python and PHP are powerful programming languages, but they are often used for different purposes and have different strengths. Here's a comparison: Python: General-Purpose Language: Python is a versatile language used for a wide range of applications, including web development, data analysis, machine learning, artificial intelligence, automation, and more. Clean and Readable Syntax: Python's syntax is known for its simplicity and readability, making it easier for beginners to learn and for teams

Python Syntax

  Python  Syntax As we learned in the previous page, Python syntax can be executed by writing directly in the Command Line: >>> print("Hello, World!") Hello, World! Or by creating a python file on the server, using the .py file extension, and running it in the Command Line: C:\Users\ Your Name >python myfile.py Python Indentation Indentation refers to the spaces at the beginning of a code line. Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important. Python uses indentation to indicate a block of code. Python has no command for declaring a variable. You will learn more about variables in the  Python Variables  chapter. Comments Python has commenting capability for the purpose of in-code documentation. Comments start with a #, and Python will render the rest of the line as a comment:

Python Getting Started

  Python  Getting Started Python Install Many PCs and Macs will have python already installed. To check if you have python installed on a Windows PC, search in the start bar for Python or run the following on the Command Line (cmd.exe): C:\Users\ Your Name >python --version To check if you have python installed on a Linux or Mac, then on linux open the command line or on Mac open the Terminal and type: python --version If you find that you do not have Python installed on your computer, then you can download it for free from the following website:  https://www.python.org/ Python Quickstart Python is an interpreted programming language, this means that as a developer you write Python (.py) files in a text editor and then put those files into the python interpreter to be executed. The way to run a python file is like this on the command line: C:\Users\ Your Name >python helloworld.py Where "helloworld.py" is the name of your python file. Let's write our first Python fi

Face Detection using Python and OpenCV with webcam

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  Face Detection using Python and OpenCV with webcam How to use : Create a directory in your pc and name it (say project) Create two python files named create_data.py and face_recognize.py, copy the first source code and second source code in it respectively. Copy haarcascade_frontalface_default.xml to the project directory, you can get it in opencv or from here . You are ready to now run the following codes. create_data.py # Creating database # It captures images and stores them in datasets # folder under the folder name of sub_data import cv2, sys, numpy, os haar_file = 'haarcascade_frontalface_default.xml' # All the faces data will be # present this folder datasets = 'G:\PARAS\datasets' //make datasets as new folder like i did in this path then sub # These are sub data sets of folder, # for my faces I've used my name you can # change the label here akhi is a sub folder insde datasets where web image will store by webcamera sub_data = 'akhi' path = os.pat