Before you begin reading this article, there are few prerequisites you should know and be ready with:
- Understanding Django, Python, HTML
- Django and python libraries installed
- Django Project and app ready on your system
Tag: python
In this article, we are going to make a complete sign up & login page which will be connected to the AWS RDS and we will use MySql Workbench.
Before we begin you must have
- Python 3.6
- Flask
- AWS free tier account to access the AWS services
- My SQL Workbench installed and working
To a computer, an image is nothing but a bunch of pixels. A pixel in turn is just a combination of three numbers in the range 0 to 255. So in the end, an image is just a collection of numbers. Now, if you were to add some data to the image the color of the pixels would change, and hence the image would not be the same as before. However, what if you could add data to the image in such as way that the pixels are modified in such a way that one can hardly discern the difference? That is the premise of LSB Steganography, which despite its fancy-sounding name is quite simple.
Continue readingPosition– Python Developer
Questions on my existing Project in current Organisation.
- Introduction
- What is Load Balancing
- Types of Load Balancers
- Do you use any Cloud Providers in your project ?
In this article you learn how to use DynamoDB with flask. We will see the read and write operations on DynamoDB using boto3. We will make a complete signup and login page.
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In this article you will learn how to upload files to your S3 bucket using Flask from your website.
Note: You must have an account on aws to access the S3 service.
We will be having
- .py file with the flask code
- .html file to choose the file from the website
Streamlit’s open-source app frameworkisthe easiest way for data scientists and machine learning engineers to create beautiful, performant apps in only a few hours! All in pure Python. All for free.
Streamlit
Recently, I came across an open source framework — Streamlit which is used to create data apps. So I spent some time on the documentation and did some data visualization on a Food Demand Forecasting Dataset.
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