Unveiling the Black-Box Between an HTTP Request and Your Python Code

We cannot deny the fact that we live in the world of internet. Every day we come across multiple websites.

Today, if you want to communicate with some other person, you will use some language like English, Hindi or French which has some standard protocols. Similarly, if two computers want to communicate with each other over the internet, there should be some standard protocol, and that standard protocol is called “HyperText Transfer Protocol (HTTP)”.

So, the HTTP mentioned in the sample URL above in this blog is a communication protocol used to sent and receive webpages and other data files on the internet. When a user enters a web URL, an HTTP request that is sent by the browser and an HTTP response received from our application server have a definite format.

Today, most of the websites are dynamic in nature i.e. they are not based on files in the file system, but rather on programs which are run by the web server whenever a request comes in. These programs generate the content (through some calculation, logic, database etc) that is returned to the user. So, every application needs a web server that can interact with your code as well as with the outside world of HTTP. And, if your application is written in python, then all you need is a WSGI server for this purpose.

A Web Server Gateway Interface (WSGI) is a simple calling convention for web servers to forward request to web application or framework written in Python programming language.

A WSGI server implements the web server side of WSGI interface for running python web application. There are many WSGI servers in the market today like uWSGI, mod-WSGI, Green Unicorn etc.

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Interaction between your Browser and Python Web Application

But why exactly do we need WSGI?

To understand the real need of WSGI, let’s dive deep into how WSGI came into existence.

Before WSGI, the traditional web server did not understand or had any way to run applications. In the late 1990s, a developer named Grisha Trubetskoy came up with an Apache module called mod_python to execute arbitrary Python code. However, mod_python was not an official specification. It was simply created so they could run Python code on a server. For more than a decade, people kept using mod_python to execute their python code.

#uwsgi #http-request #web-server #wsgi #python-programming

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Unveiling the Black-Box Between an HTTP Request and Your Python Code
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Ray  Patel

Ray Patel


Using Black To Auto Format Your Python

Writing python code is one thing and writing the code in a good format is another thing. Most of the time especially junior coders/programmers focus on making sure the codes are working and forget to format their codes.

If you write a small program (with 1000 lines of codes) you could get away without formatting your code, but as programs get more and more complex, they get harder and harder to understand and at some point (around 15,000 lines of code), it becomes harder to understand the code that you yourself wrote.

The difference between working on well-formatted code and working on badly formatted code is like the difference between living in a palace and living in a dirty house.

Why formatting your python code is important?

#programming #python #python-programming #python-tutorials #python-tips #python-developers #code-quality #clean-code

Ray  Patel

Ray Patel


50+ Basic Python Code Examples

List, strings, score calculation and more…

1. How to print “Hello World” on Python?

2. How to print “Hello + Username” with the user’s name on Python?

3. How to add 2 numbers entered on Python?

4. How to find the Average of 2 Entered Numbers on Python?

5. How to calculate the Entered Visa and Final Grade Average on Python?

6. How to find the Average of 3 Written Grades entered on Python?

7. How to show the Class Pass Status (PASSED — FAILED) of the Student whose Written Average Has Been Entered on Python?

8. How to find out if the entered number is odd or even on Python?

9. How to find out if the entered number is Positive, Negative, or 0 on Python?

#programming #python #coding #50+ basic python code examples #python programming examples #python code

Ray  Patel

Ray Patel


Common Anti-Patterns in Python

Improve and streamline your code by learning about these common anti-patterns that will save you time and effort. Examples of good and bad practices included.

1. Not Using with to Open Files

When you open a file without the with statement, you need to remember closing the file via calling close() explicitly when finished with processing it. Even while explicitly closing the resource, there are chances of exceptions before the resource is actually released. This can cause inconsistencies, or lead the file to be corrupted. Opening a file via with implements the context manager protocol that releases the resource when execution is outside of the with block.

2. Using list/dict/set Comprehension Unnecessarily

3. Unnecessary Use of Generators

4. Returning More Than One Object Type in a Function Call

5. Not Using get() to Return Default Values From a Dictionary

#code reviews #python programming #debugger #code review tips #python coding #python code #code debugging