Michio JP

Michio JP


How to Post Multipart Form Data in Python with Requests

In this tutorial we'll demonstrate how to upload a file from a Python server to another server by sending a POST request with multipart/form-data using the Python requests library.

We’ll be using two servers. The server that receives the file doesn’t need to be a Python server but since we’he previously created one with Django in this tutorial, let’s use it instead of re-inventing the wheel.

Note: Typically we upload files from a client to a server but in this tutorial, we’ll see how we can upload files from a server to another web server using Python and the Requests library.

Open a new terminal and create and activate a virtual environment:

$ python3 -m venv .env

$ source .env/bin/activate

Next, clone the GitHub repository and install the dependencies:

$ git clone https://github.com/techiediaries/django-rest-file-upload.git server2

$ cd server2

$ pip install -r requirments.txt

Next, run the server using the following commands:

$ python manage.py makemigrations

$ python manage.py migrate

$ python manage.py runserver

The server will be available from the and will expose an /upload endpoint that accepts a POST request.

Note: This server has also CORS enabled which means it can accept requests from different domains so make sure to enable CORS if you are using any other server.

Creating the Flask Server

Now, let’s proceed to create the uploading Python server that will make use of the Requests library to send a POST requests to the endpoint for uploading a file between two servers.

Installing requests

Let’s install the requests library using pip:

$ pip install requests

Installing Flask

We’ll be using Flask; a single file and lightweight web framework for creating the Python server that uploads the file. First install flask using pip:

$ pip install flask

Next, create a server.py file and add the following code:

import os
from flask import Flask, request, render_template
import requests

app = Flask(__name__)

@app.route('/handle_form', methods=['POST'])
def handle_form():
    print("Posted file: {}".format(request.files['file']))
    file = request.files['file']
    return ""

def index():
    return render_template("index.html");   

if __name__ == "__main__":
    app.run(host='', port=8080, debug=True)

We create a / route for rendering the index.html template that will display a form and /handle_formroute that will process the multipart form, get the uploaded file from the requests.files[] array and return. We’ll use this method to send the form to the django server using the requests library.

Next, create a templates folder and add an index.html file with the following code:

<!DOCTYPE html>

    <title>Upload New File</title>

    <h1>Upload Files</h1>

    <form action="handle_form" method="post" enctype="multipart/form-data">
        <input type="file" name="file">
        <input type="submit" value="Upload">



We create a form of multipart/form-data encoding type that has a file field for selecting a file from the hard drive.

Sending Files with the Requests Library

The handle_form() of our flask application receives the posted file but doesn’t save it. Instead, we’ll use the requests library to upload it to the django server.

Simply change the handle_form() method as follows:

@app.route('/handle_form', methods=['POST'])
def handle_form():
    print("Posted file: {}".format(request.files['file']))
    file = request.files['file']
    files = {'file': file.read()}
    r = requests.post("", files=files)

    if r.ok:
        return "File uploaded!"
        return "Error uploading file!"

We get the posted form from the request.Files array, next we use the requests.post() method to upload the file to the other server using a POST request. If the requests is successful, r.ok will be True.

Next, run the server using the following command:

$ python server.py

Your Python server will be available from the address.

If you select a file and upload it, you should have the file uploaded in the media folder of the django server.


In this tutorial, you’ve seen how you can use Python and the requests library to upload a file from a server to another server.

Originally published at  techiediaries.com on 11 Mar 2019

#python #django

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 iOS App Dev

iOS App Dev


Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Arvel  Parker

Arvel Parker


Basic Data Types in Python | Python Web Development For Beginners

At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

Table of Contents  hide

I Mutable objects

II Immutable objects

III Built-in data types in Python

Mutable objects

The Size and declared value and its sequence of the object can able to be modified called mutable objects.

Mutable Data Types are list, dict, set, byte array

Immutable objects

The Size and declared value and its sequence of the object can able to be modified.

Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.

id() and type() is used to know the Identity and data type of the object







Built-in data types in Python

a**=str(“Hello python world”)****#str**














Numbers (int,Float,Complex)

Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.

#signed interger




Python supports 3 types of numeric data.

int (signed integers like 20, 2, 225, etc.)

float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)

complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)

A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).


The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.

# String Handling

‘Hello Python’

#single (') Quoted String

“Hello Python”

# Double (") Quoted String

“”“Hello Python”“”

‘’‘Hello Python’‘’

# triple (‘’') (“”") Quoted String

In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.

The operator “+” is used to concatenate strings and “*” is used to repeat the string.


output**:****‘Hello python’**

"python "*****2

'Output : Python python ’

#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type

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

I am Developer


PHP jQuery Ajax Post Form Data Example

PHP jquery ajax POST request with MySQL. In this tutorial, you will learn how to create and submit a simple form in PHP using jQuery ajax post request. And how to submit a form data into MySQL database without the whole page refresh or reload. And also you will learn how to show an error message to the user if the user does not fill any form field.

And this tutorial also guide on how to send data to MySQL database using AJAX + jQuery + PHP without reloading the whole page and show a client-side validation error message if it has an error in the form.

PHP jQuery AJAX POST Form Data In Into MySQL DB Example

Just follow the few below steps and easily create and submit ajax form in PHP and MySQL with client-side validation.

  • Create Database And Table
  • Create a Database Connection File
  • Create An Ajax POST Form in PHP
  • Create An Ajax Data Store File


#jquery ajax serialize form data example #submit form using ajax in php example #save form data using ajax in php #how to insert form data using ajax in php #php jquery ajax form submit example #jquery ajax and jquery post form submit example with php

How POST Requests with Python Make Web Scraping Easier

When scraping a website with Python, it’s common to use the

urllibor theRequestslibraries to sendGETrequests to the server in order to receive its information.

However, you’ll eventually need to send some information to the website yourself before receiving the data you want, maybe because it’s necessary to perform a log-in or to interact somehow with the page.

To execute such interactions, Selenium is a frequently used tool. However, it also comes with some downsides as it’s a bit slow and can also be quite unstable sometimes. The alternative is to send a

POSTrequest containing the information the website needs using the request library.

In fact, when compared to Requests, Selenium becomes a very slow approach since it does the entire work of actually opening your browser to navigate through the websites you’ll collect data from. Of course, depending on the problem, you’ll eventually need to use it, but for some other situations, a

POSTrequest may be your best option, which makes it an important tool for your web scraping toolbox.

In this article, we’ll see a brief introduction to the

POSTmethod and how it can be implemented to improve your web scraping routines.

#python #web-scraping #requests #web-scraping-with-python #data-science #data-collection #python-tutorials #data-scraping