The document presents a software training on Python3. It covers the objectives of understanding Python as a scripting language and how to design programs. It then discusses various Python libraries and tools - NumPy for numeric computing, Pandas for data analysis, Matplotlib for visualization, Jupyter notebooks, Anaconda for package/environment management, and MySQL for databases. The training aims to help participants learn how to use these technologies for data science and development.
overview of python programming language.pptxdmsidharth
Python, born out of Guido van Rossum's vision in the late 1980s and formally introduced in 1991, stands tall as one of the foremost programming languages in today's digital landscape. Its journey from inception to dominance reflects a narrative of simplicity, versatility, and unwavering community support. At its core, Python embodies a design philosophy that prioritizes readability, fostering an environment where developers can express their ideas with clarity and conciseness. This philosophy, encapsulated in the famous maxim "Readability counts," has been instrumental in attracting a diverse array of practitioners, ranging from seasoned professionals to eager novices.
Neuron is a server-less Deep Learning and AI experiment platform for analytics where you can build, deploy and visualise the data models.
Practical lab on cloud access from anywhere.
Python is the choice llanguage for data analysis,
The aim of this slide is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of the steps you need to learn to use Python for data analysis.
Data Wrangling and Visualization Using PythonMOHITKUMAR1379
Python is open source and has so many libraries for data wrangling and visualization that makes life of data scientists easier. For data wrangling pandas is used as it represent tabular data and it has other function to parse data from different sources, data cleaning, handling missing values, merging data sets etc. To visualize data, low level matplotlib can be used. But it is a base package for other high level packages such as seaborn, that draw well customized plot in just one line of code. Python has dash framework that is used to make interactive web application using python code without javascript and html. These dash application can be published on any server as well as on clouds like google cloud but freely on heroku cloud.
overview of python programming language.pptxdmsidharth
Python, born out of Guido van Rossum's vision in the late 1980s and formally introduced in 1991, stands tall as one of the foremost programming languages in today's digital landscape. Its journey from inception to dominance reflects a narrative of simplicity, versatility, and unwavering community support. At its core, Python embodies a design philosophy that prioritizes readability, fostering an environment where developers can express their ideas with clarity and conciseness. This philosophy, encapsulated in the famous maxim "Readability counts," has been instrumental in attracting a diverse array of practitioners, ranging from seasoned professionals to eager novices.
Neuron is a server-less Deep Learning and AI experiment platform for analytics where you can build, deploy and visualise the data models.
Practical lab on cloud access from anywhere.
Python is the choice llanguage for data analysis,
The aim of this slide is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of the steps you need to learn to use Python for data analysis.
Data Wrangling and Visualization Using PythonMOHITKUMAR1379
Python is open source and has so many libraries for data wrangling and visualization that makes life of data scientists easier. For data wrangling pandas is used as it represent tabular data and it has other function to parse data from different sources, data cleaning, handling missing values, merging data sets etc. To visualize data, low level matplotlib can be used. But it is a base package for other high level packages such as seaborn, that draw well customized plot in just one line of code. Python has dash framework that is used to make interactive web application using python code without javascript and html. These dash application can be published on any server as well as on clouds like google cloud but freely on heroku cloud.
Data Engineering A Deep Dive into DatabricksKnoldus Inc.
During this session, you'll gain a comprehensive understanding of Databricks' capabilities for efficiently processing and managing data, with a focus on Apache Spark for data transformation. We'll cover data ingestion methods, storage, orchestration, and best practices to ensure your data engineering workflows are optimized for success.
Data Science Tools and Technologies: A Comprehensive Overviewsaniakhan8105
"Data Science Tools and Technologies: A Comprehensive Overview" explores the essential tools and platforms that data scientists use to analyze, visualize, and interpret complex data. From programming languages like Python and R to advanced frameworks like TensorFlow and Hadoop, this guide covers everything needed for effective data science practice.
Spark Unveiled Essential Insights for All DevelopersKnoldus Inc.
Join our session, "Spark Unveiled," where I simplify Apache Spark's core concepts for all developers. I'll cover Spark's architecture, RDDs, and its impact on data processing. Whether you're learning or refreshing your memory, this quick dive into Spark's capabilities is a must. Unlock the power of Apache Spark for your development journey!
Python is a widely-used, high-level programming language known for its simplicity, readability, and extensive library support. It is favored by developers for its ease of use and ability to handle diverse tasks, making it suitable for various applications ranging from web development to data analysis and artificial intelligence.
Top 10 Data analytics tools to look for in 2021Mobcoder
This write-up has surrounded the top 10 tools used by data analysts, architects, scientists, and other professionals. Each tool has some specific feature that makes it an ideal fit for a specific task. So choose wisely depending on your business need, type of data, the volume of information, experience in analytical thinking.
Python, a versatile and powerful programming language, has gained immense popularity due to its simplicity, readability, and extensive range of libraries. Whether you're a beginner or an experienced developer, Python offers a wide array of tools and features that cater to various programming paradigms, making it suitable for web development, data analysis, artificial intelligence, and more.
Data science holds tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing data science at scale to enterprises, however this promise also comes with challenges for data scientists to continuously learn and collaborate. Data Scientists have many tools at their disposal such as notebooks like Juypter and Apache Zeppelin & IDEs such as RStudio with languages like R, Python, Scala and frameworks like Apache Spark. Given all the choices how do you best collaborate to build your model and then work through the development lifecycle to deploy it from test into production ?
In this session learn the attributes of a modern data science platform that empowers data scientists to build models using all the data in their data lake and foster continuous learning and collaboration. We will show a demo of DSX with HDP with the focus on integration, security and model deployment and management.
Speakers:
Sriram Srinivasan, Senior Technical Staff Member, Analytics Platform Architect, IBM
Vikram Murali, Program Director, Data Science and Machine Learning, IBM
In the past, emerging technologies took years to mature. In the case of big data, while effective tools are still emerging, the analytics requirements are changing rapidly resulting in businesses to either make it or be left behind
Python for Data Science: A Comprehensive Guidepriyanka rajput
Python’s popularity in data science is undeniable, to sum up. It is the best option for data analysts and scientists because of its simplicity, extensive library environment, and community support. The essential Python tools and best practices have been highlighted in this thorough book, enabling data aficionados to succeed in this fast-paced industry.
Building and deploying LLM applications with Apache AirflowKaxil Naik
Behind the growing interest in Generate AI and LLM-based enterprise applications lies an expanded set of requirements for data integrations and ML orchestration. Enterprises want to use proprietary data to power LLM-based applications that create new business value, but they face challenges in moving beyond experimentation. The pipelines that power these models need to run reliably at scale, bringing together data from many sources and reacting continuously to changing conditions.
This talk focuses on the design patterns for using Apache Airflow to support LLM applications created using private enterprise data. We’ll go through a real-world example of what this looks like, as well as a proposal to improve Airflow and to add additional Airflow Providers to make it easier to interact with LLMs such as the ones from OpenAI (such as GPT4) and the ones on HuggingFace, while working with both structured and unstructured data.
In short, this shows how these Airflow patterns enable reliable, traceable, and scalable LLM applications within the enterprise.
https://airflowsummit.org/sessions/2023/keynote-llm/
Big Data Analytics (ML, DL, AI) hands-onDony Riyanto
Ini adalah slide tambahan dari materi pengenalan Big Data Analytics (di file berikutnya), yang mengajak kita mulai hands-on dengan beberapa hal terkait Machine/Deep Learning, Big Data (batch/streaming), dan AI menggunakan Tensor Flow
Data Engineering A Deep Dive into DatabricksKnoldus Inc.
During this session, you'll gain a comprehensive understanding of Databricks' capabilities for efficiently processing and managing data, with a focus on Apache Spark for data transformation. We'll cover data ingestion methods, storage, orchestration, and best practices to ensure your data engineering workflows are optimized for success.
Data Science Tools and Technologies: A Comprehensive Overviewsaniakhan8105
"Data Science Tools and Technologies: A Comprehensive Overview" explores the essential tools and platforms that data scientists use to analyze, visualize, and interpret complex data. From programming languages like Python and R to advanced frameworks like TensorFlow and Hadoop, this guide covers everything needed for effective data science practice.
Spark Unveiled Essential Insights for All DevelopersKnoldus Inc.
Join our session, "Spark Unveiled," where I simplify Apache Spark's core concepts for all developers. I'll cover Spark's architecture, RDDs, and its impact on data processing. Whether you're learning or refreshing your memory, this quick dive into Spark's capabilities is a must. Unlock the power of Apache Spark for your development journey!
Python is a widely-used, high-level programming language known for its simplicity, readability, and extensive library support. It is favored by developers for its ease of use and ability to handle diverse tasks, making it suitable for various applications ranging from web development to data analysis and artificial intelligence.
Top 10 Data analytics tools to look for in 2021Mobcoder
This write-up has surrounded the top 10 tools used by data analysts, architects, scientists, and other professionals. Each tool has some specific feature that makes it an ideal fit for a specific task. So choose wisely depending on your business need, type of data, the volume of information, experience in analytical thinking.
Python, a versatile and powerful programming language, has gained immense popularity due to its simplicity, readability, and extensive range of libraries. Whether you're a beginner or an experienced developer, Python offers a wide array of tools and features that cater to various programming paradigms, making it suitable for web development, data analysis, artificial intelligence, and more.
Data science holds tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing data science at scale to enterprises, however this promise also comes with challenges for data scientists to continuously learn and collaborate. Data Scientists have many tools at their disposal such as notebooks like Juypter and Apache Zeppelin & IDEs such as RStudio with languages like R, Python, Scala and frameworks like Apache Spark. Given all the choices how do you best collaborate to build your model and then work through the development lifecycle to deploy it from test into production ?
In this session learn the attributes of a modern data science platform that empowers data scientists to build models using all the data in their data lake and foster continuous learning and collaboration. We will show a demo of DSX with HDP with the focus on integration, security and model deployment and management.
Speakers:
Sriram Srinivasan, Senior Technical Staff Member, Analytics Platform Architect, IBM
Vikram Murali, Program Director, Data Science and Machine Learning, IBM
In the past, emerging technologies took years to mature. In the case of big data, while effective tools are still emerging, the analytics requirements are changing rapidly resulting in businesses to either make it or be left behind
Python for Data Science: A Comprehensive Guidepriyanka rajput
Python’s popularity in data science is undeniable, to sum up. It is the best option for data analysts and scientists because of its simplicity, extensive library environment, and community support. The essential Python tools and best practices have been highlighted in this thorough book, enabling data aficionados to succeed in this fast-paced industry.
Building and deploying LLM applications with Apache AirflowKaxil Naik
Behind the growing interest in Generate AI and LLM-based enterprise applications lies an expanded set of requirements for data integrations and ML orchestration. Enterprises want to use proprietary data to power LLM-based applications that create new business value, but they face challenges in moving beyond experimentation. The pipelines that power these models need to run reliably at scale, bringing together data from many sources and reacting continuously to changing conditions.
This talk focuses on the design patterns for using Apache Airflow to support LLM applications created using private enterprise data. We’ll go through a real-world example of what this looks like, as well as a proposal to improve Airflow and to add additional Airflow Providers to make it easier to interact with LLMs such as the ones from OpenAI (such as GPT4) and the ones on HuggingFace, while working with both structured and unstructured data.
In short, this shows how these Airflow patterns enable reliable, traceable, and scalable LLM applications within the enterprise.
https://airflowsummit.org/sessions/2023/keynote-llm/
Big Data Analytics (ML, DL, AI) hands-onDony Riyanto
Ini adalah slide tambahan dari materi pengenalan Big Data Analytics (di file berikutnya), yang mengajak kita mulai hands-on dengan beberapa hal terkait Machine/Deep Learning, Big Data (batch/streaming), dan AI menggunakan Tensor Flow
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
3. Objective
To understand why Python is a useful scripting language for developers.
How to design and program Python applications.
How to use lists, tuples, and dictionaries in Python programs.
How to identify Python object types.
How to use indexing and slicing to access data in Python programs.
Define the structure and components of a Python program.
How to write loops and decision statements in Python.
How to write functions and pass arguments in Python.
How to build and package Python modules for reusability.
How to read and write files in Python.
Rana Kumar Saini
1727916
4. Introduction
Object oriented language
Interpreted language
Supports dynamic data type
Independent from platforms
Focused on development time
Simple and easy grammar
High-level internal object data types
Automatic memory management
It’s free (open source)!
Everything is an object
Modules, classes, functions
Rana Kumar Saini
1727916
5. Exception handling
Dynamic typing, polymorphism
Static scoping
Operator overloading
Indentation for block structure
Numbers: int, long, float, complex
Strings: immutable
Lists and dictionaries: containers
Other types for e.g. binary data, regular expressions, introspection
Extension modules can define new “built-in” data types
Rana Kumar Saini
1727916
6. Numpy
NumPy has many of the features of Matlab, in a free, multiplatform program. It also
allows you to do intensive computing operations in a simple way
Numeric Module: Array Constructors
ones, zeros, identity
arrayrange
LinearAlgebra Module: Solvers
Singular Value Decomposition
Eigenvalue, Eigenvector
Inverse
Determinant
Linear System Solver
Rana Kumar Saini
1727916
7. Pandas
It has a fast and efficient DataFrame object with the default and customized
indexing.
Used for reshaping and pivoting of the data sets.
Group by data for aggregations and transformations.
It is used for data alignment and integration of the missing data.
Provide the functionality of Time Series.
Process a variety of data sets in different formats like matrix data, tabular
heterogeneous, time series.
Handle multiple operations of the data sets such as subsetting, slicing, filtering,
groupBy, re-ordering, and re-shaping.
It integrates with the other libraries such as SciPy, and scikit-learn.
Rana Kumar Saini
1727916
8. Matplotlib
It identifies areas that need improvement and attention.
It clarifies the factors.
It helps to understand which product to place where.
Predict sales volumes.
Building ways of absorbing information
Visualize relationship and patterns in Businesses
Take action on the emerging trends faster
Geological based Visualization
Rana Kumar Saini
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9. Jupyter
IPython notebook was developed by Fernando Perez as a web based front end
to IPython kernel
Jupyter providing front end for programming environments Juila and R in
addition to Python.
New notebook: choose the kernel to start new notebook
Open: Takes user to dashboard to choose notebook to open
Save as: Save current notebook and start new kernel
Rename: Rename current notebook
Save: Saves current notebook and stores current checkpoint
Revert: Reverts state of notebook to earlier checkpoint
Download: Export notebook in one of various file formats
Rana Kumar Saini
1727916
10. Anaconda
Anaconda is an open-source distribution for python and R.
It is used for data science, machine learning, deep learning, etc.
It's free and it's open source.
It has more than 1500 / R data science packages
Anaconda simplifies package management and shipping
It has tools to easily collect data from sources using machine learning and AI.
It creates a portable environment for any project.
Anaconda is an industry standard for the development, testing and training of a
single machine.
It has great community support - you can ask your questions there.
Rana Kumar Saini
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11. Download more than 1500 Python / R data science packages
Manage libraries, dependencies, and conda locations.
Create and train ML models and in-depth learning with scikit-learn,
TensorFlow and Theano.
Use Dask, NumPy, Pandas and Numba to analyze data faster and faster.
Take a look at Matplotlib, Bokeh, Datashader, and Holoviews.
Rana Kumar Saini
1727916
12. MYSQL
MySQL is a Relational Database Management System (RDBMS) software.
It allows us to implement database operations on tables, rows, columns, and
indexes.
It defines the database relationship in the form of tables (collection of rows and
columns), also known as relations.
It provides the Referential Integrity between rows or columns of various tables.
It allows us to updates the table indexes automatically.
It uses many SQL queries and combines useful information from multiple
tables for the end-users.
MySQL creates a database that allows you to build many tables to store and
manipulate data and defining the relationship between each table.
Rana Kumar Saini
1727916
13. MySQL is an open-source database, so you don't have to pay a single penny to use it.
MySQL is a very powerful program that can handle a large set of functionality of the most
expensive and powerful database packages.
MySQL is customizable because it is an open-source database, and the open-source GPL
license facilitates programmers to modify the SQL software according to their own
specific environment.
MySQL is quicker than other databases, so it can work well even with the large data set.
MySQL uses a standard form of the well-known SQL data language.
MySQL is very friendly with PHP, the most popular language for web development.
MySQL supports large databases, up to 50 million rows or more in a table. The default file
size limit for a table is 4GB, but you can increase this to a theoretical limit of 8 million
terabytes (TB).
Rana Kumar Saini
1727916
