How To Manage Libraries in Python And MySQL

Library management using Python & MySQL


Dev/Editor: Pavan Ananth Sharma & MK Akash

Introduction:

This is an intermediate project which is a user-friendly library management system that allows you to:

  • Add book with details
  • Delete books
  • View listed books
  • Issue books to students/anyone
  • Return books

Output:


Dependencies:

  • tkinter
  • pillow
  • pymysql
  • MySQL should be instaled

Code to download dependencies:

pip install tk
pip install pillow
pip install pymysql

Note: we need to install tk which is tkinter and pillow which is PIL, so dont worry and install these dependencies using the above code.


❗ IMPORTANT STEP ❗

  • Make sure you have installed MySQL for your OS, if not follow this video : https://www.youtube.com/watch?v=N3B3OonC2AU&t=343s Not sponcered
  • Follow the above video carefully and we recommend to use the password as root
  • After you have successfully installed and tested now you will need to run a few commands before running the main.py
  • Open MySQL 8.0(or any version) Command Line Client using windows key and searching it if you use windows
  • Enter the password in this case we use root
  • then we run show databases; to show the existing databases
  • We add our data based which we will call db code for it : create database db;
  • Then we run : create table books(bid varchar(20) primary key, title varchar(30), author varchar(30), status varchar(30));
  • Last but not the least we enter: create table books_issued(bid varchar(20) primary key, issuedto varchar(30));
  • So basically we created 2 tables inside a database named db with multiple access elements
  • Now to enter into the database you have created use teh code: use db;
  • Now to ckeck the tables you have created you can say ener : show tablesl;
  • To see the elements inside the tables (for example books) code: select * from books;
  • Similarly to use the elements insie the table books_issued run the code: select * from books_issued;

Usecase / run:

if you want to run the code you will need to run : main.py
  • If you have followed all the steps correctly as soon as you run main.py the UI will popup then as as soon as you add a book by filling the information(case sensitive), you can now get to the CLI of MYSql and run: select * from books; and this will display if you have added any book into the database.
  • Similarly after you have deleted any book you can run the same code to verify if it has been deleted from the database system.
  • When you issue a book then if you want to check who have you given it to enter the code: select * fom books_issued; to find the name and book ID (bid).
  • After you have created a book and then issued it to anyone you can see the status of the book change by again going into the books_issued table for that we use the code: select * from books; if you have followed you shouold see the change in the status of the book(if Avail before now it would have updated to issued).
  • If you have got all of them then congratulations you have done an amazing job

Wallet: 0x592eF244F8924be9F3F8803f8d639392f465Ac51

Instagram: pavan_ananth


Author: PavanAnanthSharma
Source Code: https://github.com/PavanAnanthSharma/Library-Management-Using-Python-and-MySQL
License: GPL-3.0 License

#python #mysql 

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How To Manage Libraries in Python And MySQL
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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.

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ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now

ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
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In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:

Comparison Overview
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version8.0.208.0.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120

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To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.

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ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph

For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.

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Massive community support 

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Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

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 March 25, 2021  Deepak@321  0 Comments

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