DEV Community: Yogesh Nile

handle AWS lambda function code on web with layers

Yogesh Nile — Sun, 13 Dec 2020 11:08:55 +0000

When developer write AWS lambda function in python or other language than it require some libraries to run code and those libraries may be require more than 3 mb. AWS does not provide function editor on more than 3 mb code than it difficult to handle errors.
In this situation AWS provide layers to attach library and reusable those libraries in other lambda function. But if you create a layers in right way than lambda function throw the error. I wanna show to how to create a right layers using ec2 instance in python language.

ec2 instance must be give iam role to full access s3 bucket.

run below command on ec2 instance

sudo apt-get update
sudo apt-get install python3-pip -y
sudo apt-get install zip -y
sudo apt-get install awscli -y
mkdir -p build/python/lib/python3.8/site-packages
pip3 install <package> -t build/python/lib/python3.8/site-packages/ --system
cd build/
zip -r <zip name> .
aws s3 cp <zip file> s3://<bucket>

goto s3 bucket and copy the zip file link
goto lambda console click layers
create layer input zip file link selete runtime and create.
congratulation you crated lambda layer sucessfully.

Course stream web application in Django

Yogesh Nile — Tue, 17 Nov 2020 11:07:58 +0000

Hello Dev,

I wanna show you to I have developed web application like udemy. That you will learn free and paid courses.
This web application developed in django framework. Django is a Python-based free and open-source web framework that follows the model-template-views architectural pattern. It is maintained by the Django Software Foundation, an American independent organization established as a 501 non-profit.
This web application are integrated with payment service
In this application user details are validate via ajax

Github Repo

Repo

Here some screenshot of web application

Backend
Courses
Course Details
Checkout Page
Payment Process
Subscribed Courses

Contribution

If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result.
- If you'd like to request a new function, feel free to do so by opening an issue here. Please include sample queries and their corresponding results.

Python Library Developed

Yogesh Nile — Mon, 16 Nov 2020 13:55:28 +0000

Hello Dev,
I wanna show you to I developed a python library that contains my public profile and portfolio.
Go and check out Yogesh-Nile

Here some example of my library

from Yogesh_Nile import resume

obj = resume()

intro = obj.get_Introduction()

print(intro)

from Yogesh_Nile import resume

obj = resume()

link = obj.get_Links()

print(link)

Hope you like it, Also check out my github profile.

In github I have upload lot of python related repo. You will definitely learn something new.

Student Result Publish in Django

Yogesh Nile — Thu, 12 Nov 2020 05:39:08 +0000

A couple of days ago I developed student result published web application in django.
github link
You will like this projects!
In this project I have used below library.
- Django==3.1.1
- django-import-export==2.4.0
- django-admin-interface==0.14.0
In this project you can import student result via file like csv, json, xml and many more
Go and checkout my project github link

ScreenShot 📸

Basic of Pandas

Yogesh Nile — Sat, 11 Jul 2020 10:07:34 +0000

Pandas is an open-source library that is built on top of NumPy library. It is a Python package that offers various data structures and operations for manipulating numerical data and time series. It is mainly popular for importing and analyzing data much easier. Pandas is fast and it has high-performance & productivity for users.

pip install pandas

Advantages

Fast and efficient for manipulating and analyzing data.
Data from different file objects can be loaded.
Easy handling of missing data (represented as NaN) in floating point as well as non-floating point data
Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects
Data set merging and joining.
Flexible reshaping and pivoting of data sets
Provides time-series functionality.
Powerful group by functionality for performing split-apply-combine operations on data sets.

Getting Started

After the pandas has been installed into the system, you need to import the library. This module is generally imported as –

import pandas as pd

Pandas generally provide two data structure for manipulating data, They are:

Series
DataFrame