This document discusses interfacing Python with MySQL databases. It introduces MySQL Connector Python, which is a Python module for communicating with MySQL databases. The key steps covered are:
1. Installing MySQL Connector Python using pip or from source code.
2. Connecting to a MySQL database from Python by calling the connect() method and passing required parameters like username, password, host, and database name.
3. Using the connection object returned to create a cursor object to execute SQL queries and extract result data.
4. Closing the cursor and connection when done to clean up resources.
Mise à jour d'un support de formation à un atelier Canopé sur le thème de la publication et l’édition d’informations sur le portail documentaire E-sidoc à destination des professeurs documentalistes.
Azure Spring Cloud Workshop - June 17, 2020VMware Tanzu
This document outlines the agenda for an Azure Spring Cloud workshop on June 17, 2020. The agenda includes topics on welcome and setup, Azure Spring Cloud introduction, hands-on sessions with Azure Spring Cloud, case studies and demos, and a closing session. The workshop will be led by Adib and Asir and include coaching support.
Presentation about the basics of Azure Resource Manager Presented on "Cloud Community Conference 2015".
Slides based on presenation of Ryan Jones from Build 2015.
This document provides an overview of automating database tasks for Azure SQL. It covers automating deployments using ARM templates, Bicep, and tools like PowerShell and CLI. It also discusses creating scheduled SQL Server Agent jobs for maintenance activities and configuring alerts and notifications. Finally, it introduces automation options for Azure PaaS services like Azure Policy, Automation, elastic jobs, and Logic Apps.
The document discusses Firebase and its features for building realtime web and mobile applications. It explains that Firebase provides a database, authentication, security, and hosting capabilities. It also outlines how to set up Firebase in an Android app by including the library, setting the context, reading and writing data to the database, and enabling different authentication methods. Security rules and offline capabilities with Firebase are also briefly mentioned.
Mise à jour d'un support de formation à un atelier Canopé sur le thème de la publication et l’édition d’informations sur le portail documentaire E-sidoc à destination des professeurs documentalistes.
Azure Spring Cloud Workshop - June 17, 2020VMware Tanzu
This document outlines the agenda for an Azure Spring Cloud workshop on June 17, 2020. The agenda includes topics on welcome and setup, Azure Spring Cloud introduction, hands-on sessions with Azure Spring Cloud, case studies and demos, and a closing session. The workshop will be led by Adib and Asir and include coaching support.
Presentation about the basics of Azure Resource Manager Presented on "Cloud Community Conference 2015".
Slides based on presenation of Ryan Jones from Build 2015.
This document provides an overview of automating database tasks for Azure SQL. It covers automating deployments using ARM templates, Bicep, and tools like PowerShell and CLI. It also discusses creating scheduled SQL Server Agent jobs for maintenance activities and configuring alerts and notifications. Finally, it introduces automation options for Azure PaaS services like Azure Policy, Automation, elastic jobs, and Logic Apps.
The document discusses Firebase and its features for building realtime web and mobile applications. It explains that Firebase provides a database, authentication, security, and hosting capabilities. It also outlines how to set up Firebase in an Android app by including the library, setting the context, reading and writing data to the database, and enabling different authentication methods. Security rules and offline capabilities with Firebase are also briefly mentioned.
[FOSS4G Korea 2016] GeoHash를 이용한 지형도 변화탐지와 시계열 관리BJ Jang
연차별로 구축된 지형도를 PostGIS에 넣어 ST_GeoHash()함수를 이용해 지리적인 식별키를 생성하고 이를 이용해 각 객처별 변화를 탐지해 낸다. 이렇게 탐지한 변화정보를 이용해 지형도의 변화를 시계열적으로 구축하여, 원하는 시점의 자료를 조회하고, 변화내용을 분석하는 과정을 국토지리정보원의 실사례와 함께 설명한다.
You will learn the following
- Introduction to Azure Resource Manager Templates and its benefits.
- Provision applications to Azure using a declarative template.
- How to deploy multiple services along with their dependencies using a single template.
- Also, offer the option of splitting up your ARM templates into multiple templates that each describes individual resources.
Cricket Prediction Using ML and Data Analytics.pptxkrunalchaudhari40
Data analytics is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
This document discusses connecting Python to a MySQL database. It introduces database programming in Python and the Python DB API interface. It then provides 7 steps to connect to a MySQL database using the MySQL Connector Python package, including importing the package, opening a connection, creating a cursor, executing queries, extracting the result set, and closing the connection.
The document discusses interfacing Python with SQL databases. It begins by explaining what a database is and why it is important to develop projects/software that can interface with databases using a programming language like Python. It then provides examples of connecting to an SQL database from Python using MySQL connectors and MySQLdb. It demonstrates how to create, read, update and delete data from database tables using SQL queries executed from Python scripts.
Interface python with sql database10.pdfHiteshNandi
This document provides information about interfacing Python with SQL databases. It discusses using Python's Database API to connect to databases like MySQL and perform SQL queries. Specific topics covered include establishing a connection, creating a cursor object to execute queries, creating/modifying tables, and inserting/searching/fetching records from tables at runtime. The document aims to demonstrate how to interface a Python program with a backend SQL database.
This document provides information about using the MySQL Connector/Python to connect to and interact with MySQL databases from Python code. It discusses installing the MySQL Connector/Python driver, which allows Python programs to connect to MySQL servers and perform common SQL operations. It also presents an overview of different Connector/Python versions and the MySQL and Python versions they support.
This document discusses how to install and use the mysql-connector-python package to connect to a MySQL database from Python. It provides instructions on installing Python and PIP if needed, then using PIP to install the mysql-connector-python package. It also describes verifying the installation by importing the mysql.connector module in a Python script without errors.
This document discusses connecting to and querying databases in Python. It outlines 7 steps to connect to a MySQL database: 1) start Python, 2) import database packages, 3) open a connection, 4) create a cursor, 5) execute queries, 6) extract data, and 7) clean up. It provides examples of connecting to MySQL and retrieving the first 3 rows from a student table.
This document discusses accessing and working with SQLite databases in Python. It covers the basics of connecting to a SQLite database, creating tables, inserting and updating data, and fetching data. The key steps are importing SQLite3, connecting to a database, using the connection to create a cursor to execute SQL statements like CREATE TABLE, INSERT, UPDATE, and SELECT. It also briefly mentions libraries for connecting to other SQL databases like PostgreSQL, MySQL, and Microsoft SQL Server. The goal is to teach the reader how to perform common CRUD operations with SQLite in Python.
The document discusses writing MySQL scripts using Python's DB-API module. It provides a short 3-sentence summary of the document:
1) Python's DB-API module provides a database application programming interface and the MySQLdb driver allows it to access MySQL databases.
2) An example script is presented that connects to a MySQL database, issues a query to get the server version, and prints the result.
3) The document also discusses using cursors to execute statements and fetch results, handling errors, and retrieving results as tuples or dictionaries.
This file contains full report of online fitness gym.And it was prepare by Abhishek, Saurav and Jitendra. If any query please contact at abhishek96patel@gmail.com
(a*3*b) = (5 * 3 * 2) = 30
(((a*b)-(b*b))/b)*(a*b) = (((5*2)-(2*2))/2)*(5*2) = ((10-4)/2)*(10) = 30
Since the values on both sides of the comparison operator < are equal, the expression (a*3*b) < (((a*b)-(b*b))/b)*(a*b) evaluates to False.
- Integration microservices are used to compose other microservices and APIs to create new services, similar to the concept of "miniservices". They help integrate web APIs, legacy systems, and microservices.
- Technologies for building integration microservices include frameworks like SpringBoot and Dropwizard, Apache Camel, and the Ballerina programming language. Ballerina is designed specifically for integration and allows graphical composition of services and connectors.
- Integration microservices are an important part of microservices architecture as they handle service compositions and orchestration between multiple microservices and external APIs.
[FOSS4G Korea 2016] GeoHash를 이용한 지형도 변화탐지와 시계열 관리BJ Jang
연차별로 구축된 지형도를 PostGIS에 넣어 ST_GeoHash()함수를 이용해 지리적인 식별키를 생성하고 이를 이용해 각 객처별 변화를 탐지해 낸다. 이렇게 탐지한 변화정보를 이용해 지형도의 변화를 시계열적으로 구축하여, 원하는 시점의 자료를 조회하고, 변화내용을 분석하는 과정을 국토지리정보원의 실사례와 함께 설명한다.
You will learn the following
- Introduction to Azure Resource Manager Templates and its benefits.
- Provision applications to Azure using a declarative template.
- How to deploy multiple services along with their dependencies using a single template.
- Also, offer the option of splitting up your ARM templates into multiple templates that each describes individual resources.
Cricket Prediction Using ML and Data Analytics.pptxkrunalchaudhari40
Data analytics is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
This document discusses connecting Python to a MySQL database. It introduces database programming in Python and the Python DB API interface. It then provides 7 steps to connect to a MySQL database using the MySQL Connector Python package, including importing the package, opening a connection, creating a cursor, executing queries, extracting the result set, and closing the connection.
The document discusses interfacing Python with SQL databases. It begins by explaining what a database is and why it is important to develop projects/software that can interface with databases using a programming language like Python. It then provides examples of connecting to an SQL database from Python using MySQL connectors and MySQLdb. It demonstrates how to create, read, update and delete data from database tables using SQL queries executed from Python scripts.
Interface python with sql database10.pdfHiteshNandi
This document provides information about interfacing Python with SQL databases. It discusses using Python's Database API to connect to databases like MySQL and perform SQL queries. Specific topics covered include establishing a connection, creating a cursor object to execute queries, creating/modifying tables, and inserting/searching/fetching records from tables at runtime. The document aims to demonstrate how to interface a Python program with a backend SQL database.
This document provides information about using the MySQL Connector/Python to connect to and interact with MySQL databases from Python code. It discusses installing the MySQL Connector/Python driver, which allows Python programs to connect to MySQL servers and perform common SQL operations. It also presents an overview of different Connector/Python versions and the MySQL and Python versions they support.
This document discusses how to install and use the mysql-connector-python package to connect to a MySQL database from Python. It provides instructions on installing Python and PIP if needed, then using PIP to install the mysql-connector-python package. It also describes verifying the installation by importing the mysql.connector module in a Python script without errors.
This document discusses connecting to and querying databases in Python. It outlines 7 steps to connect to a MySQL database: 1) start Python, 2) import database packages, 3) open a connection, 4) create a cursor, 5) execute queries, 6) extract data, and 7) clean up. It provides examples of connecting to MySQL and retrieving the first 3 rows from a student table.
This document discusses accessing and working with SQLite databases in Python. It covers the basics of connecting to a SQLite database, creating tables, inserting and updating data, and fetching data. The key steps are importing SQLite3, connecting to a database, using the connection to create a cursor to execute SQL statements like CREATE TABLE, INSERT, UPDATE, and SELECT. It also briefly mentions libraries for connecting to other SQL databases like PostgreSQL, MySQL, and Microsoft SQL Server. The goal is to teach the reader how to perform common CRUD operations with SQLite in Python.
The document discusses writing MySQL scripts using Python's DB-API module. It provides a short 3-sentence summary of the document:
1) Python's DB-API module provides a database application programming interface and the MySQLdb driver allows it to access MySQL databases.
2) An example script is presented that connects to a MySQL database, issues a query to get the server version, and prints the result.
3) The document also discusses using cursors to execute statements and fetch results, handling errors, and retrieving results as tuples or dictionaries.
This file contains full report of online fitness gym.And it was prepare by Abhishek, Saurav and Jitendra. If any query please contact at abhishek96patel@gmail.com
(a*3*b) = (5 * 3 * 2) = 30
(((a*b)-(b*b))/b)*(a*b) = (((5*2)-(2*2))/2)*(5*2) = ((10-4)/2)*(10) = 30
Since the values on both sides of the comparison operator < are equal, the expression (a*3*b) < (((a*b)-(b*b))/b)*(a*b) evaluates to False.
- Integration microservices are used to compose other microservices and APIs to create new services, similar to the concept of "miniservices". They help integrate web APIs, legacy systems, and microservices.
- Technologies for building integration microservices include frameworks like SpringBoot and Dropwizard, Apache Camel, and the Ballerina programming language. Ballerina is designed specifically for integration and allows graphical composition of services and connectors.
- Integration microservices are an important part of microservices architecture as they handle service compositions and orchestration between multiple microservices and external APIs.
Www Kitebird Com Articles Pydbapi Html Toc 1AkramWaseem
The document discusses using Python and the DB-API module to write scripts that interact with MySQL databases. It provides an example of a short script that connects to a MySQL database, issues a query to get the server version, and prints the result. It then discusses a more extensive script that handles errors, issues different statement types like INSERT and SELECT, and retrieves result rows using fetchone() and fetchall() methods. The document provides information on installing prerequisites like Python and MySQLdb, and executing the example scripts.
YouTube Link: https://youtu.be/g60QghtJmjY
**Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on 'Python Database Connection', you will learn how to establish a connection between Python and MySQL DB and perform CRUD operations on it.
Following are the topics discussed:
Introduction to Python & MySQL
Integrated Connection
How to connect Python with MySQL Db
Perform CRUD Operations with Python and MySQL Db
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
GET FREE DEMO
Apponix Technologies
Menu
All courses
Placements
Corporate Training
Job Oriented Courses
Our Instructors
Contact Us
About Us
Our Team
Blog
Python Programming
Python Programming
WHAT IS PYTHON? Python is an object-oriented, high-level, interpreted programming language with dynamic semantics. Its high-level dynamic linking and dynamic typing combined with integrated data structure, make it very attractive for the rapid growth and development of applications, as well as for use as a scripting or paste language to connect existing components.
Python's simple and easy-to-learn syntax emphasizes readability and, therefore, reduces the cost of program maintenance. Python supports packages and modules, which encourages the reuse of code and modularity of the program. The wide standard library and the Python interpreter can be freely distributed and are available in binary or source format free of charge for all major platforms.
Often, because of the increased productivity it provides, programmers fall in love with Python. As there is no compilation step, the altering test-troubleshooting cycle is fantastically quick. Debugging Python programs is easy: an error or incorrect entry will never cause a segmentation error. On the other hand, when the interpreter discovers an error, it generates an exception. When the program does not catch the exception, the interpreter prints a stack trace. A source-level debugger allows the inspection of local and global variables, the evaluation of arbitrary expressions, the establishment of breakpoints, traversing the code one line at a time, and so on. The debugger is written in Python, which demonstrates the introspective power of Python. On the other hand, often the fastest way to debug a program is to add some print declarations to the source. The fast editing-test-debug cycle makes this simple approach very effective.
This document provides an overview of sockets programming in Python. It discusses the basic Python sockets modules, including the Socket module which provides a low-level networking interface based on the BSD sockets API, and the SocketServer module which simplifies the development of network servers. It also provides examples of creating server and client sockets in Python and performing basic I/O operations. The document demonstrates how to create TCP and UDP sockets, bind addresses, listen for connections, accept clients, and send/receive data.
The document is an internship report submitted by Debarati Banik to the Department of Computer Science and Engineering at the Institute of Engineering and Technology in Lucknow, India. It details Banik's participation in a summer 2022 internship with Internshala Trainings, where they learned Python programming, SQLite database connectivity, GUI development with PyQt, and applications of Python. The report includes acknowledgments, descriptions of the training modules, daily activities, problem analysis of a sample cricket team management game, coding examples, and bibliography.
Slowly the power of mysqlnd plugins become visible. Mysqlnd plugins challenge MySQL Proxy and are often a noteworthy, if not superior, alternative alternative to MySQL Proxy for PHP users. Plugins can do almost anything that MySQL Proxy can do - but on the client. Please find details in the slides. The presentation has been given today at the PHP track on FrOSCon.
Interfacing python to mysql (11363255151).pptxcavicav231
This document discusses how to interface Python with a MySQL database. It provides steps to install the MySQL connector module in Python, create a connection to a MySQL database, execute queries using a cursor, extract data from the result set, and close the connection. The key steps are to import the MySQL connector module, use it to connect to a MySQL database, create a cursor to execute queries, fetch and extract data using methods like fetchall(), fetchmany(), and fetchone(), and finally close the connection. Parameterized queries and committing transactions are also covered.
The document provides an overview of Oracle's MySQL product direction and strategy. It outlines Oracle's continued investment in MySQL through rapid innovation, improved support offerings, and making MySQL more reliable and scalable. New product releases and upcoming features are highlighted. Case studies showcase how major companies rely on MySQL for critical applications. Performance benchmarks demonstrate significant gains in MySQL 5.5. Key capabilities such as high availability, security, and scalability features in MySQL Enterprise Edition are summarized.
Over the past 1.5 years LinkedIn has been using {py}gradle successfully on over 800 projects. LinkedIn plans to open source {py}gradle after removing LinkedIn-specific code with no major version changes. When open sourced, LinkedIn will also present plans for version 1.0 and beyond.
Similar to Chapter 6 Interface Python with MYSQL.pptx (20)
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Compositions of iron-meteorite parent bodies constrainthe structure of the pr...Sérgio Sacani
Magmatic iron-meteorite parent bodies are the earliest planetesimals in the Solar System,and they preserve information about conditions and planet-forming processes in thesolar nebula. In this study, we include comprehensive elemental compositions andfractional-crystallization modeling for iron meteorites from the cores of five differenti-ated asteroids from the inner Solar System. Together with previous results of metalliccores from the outer Solar System, we conclude that asteroidal cores from the outerSolar System have smaller sizes, elevated siderophile-element abundances, and simplercrystallization processes than those from the inner Solar System. These differences arerelated to the formation locations of the parent asteroids because the solar protoplane-tary disk varied in redox conditions, elemental distributions, and dynamics at differentheliocentric distances. Using highly siderophile-element data from iron meteorites, wereconstruct the distribution of calcium-aluminum-rich inclusions (CAIs) across theprotoplanetary disk within the first million years of Solar-System history. CAIs, the firstsolids to condense in the Solar System, formed close to the Sun. They were, however,concentrated within the outer disk and depleted within the inner disk. Future modelsof the structure and evolution of the protoplanetary disk should account for this dis-tribution pattern of CAIs.
Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDSSérgio Sacani
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
Order : Trombidiformes (Acarina) Class : Arachnida
Mites normally feed on the undersurface of the leaves but the symptoms are more easily seen on the uppersurface.
Tetranychids produce blotching (Spots) on the leaf-surface.
Tarsonemids and Eriophyids produce distortion (twist), puckering (Folds) or stunting (Short) of leaves.
Eriophyids produce distinct galls or blisters (fluid-filled sac in the outer layer)
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
Anti-Universe And Emergent Gravity and the Dark UniverseSérgio Sacani
Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.
Evaluation and Identification of J'BaFofi the Giant Spider of Congo and Moke...MrSproy
ABSTRACT
The J'BaFofi, or "Giant Spider," is a mainly legendary arachnid by reportedly inhabiting the dense rain forests of
the Congo. As despite numerous anecdotal accounts and cultural references, the scientific validation remains more elusive.
My study aims to proper evaluate the existence of the J'BaFofi through the analysis of historical reports,indigenous
testimonies and modern exploration efforts.
4. INTRODUCTION
Every organisation depends on
large databases. These are essentially
collections of tables, and’ connected with
each other through columns. These database
systems support SQL, the Structured Query
Language, which is used to create, access and
manipulate the data.
5. INTRODUCTION
The Python programming language has
powerful features for database programming.
Python supports various databases like
MySQL, Oracle, Sybase, PostgreSQL, etc.
Python also supports Data Definition
Language (DDL), Data Manipulation Language
(DML) and Data Query Statements.
11. API -APPLICATION PROGRAMMING INTERFACE
In computer programming, an
application programming interface is a set of
subroutine definitions, communication
protocols, and tools for building software. In
general terms, it is a set of clearly defined
methods of communication among various
components.
12. Consider an API as a waiter in a
restaurant. Suppose you have a menu of your
favourite food and the kitchen is the system
where your order is made. But how do you
take your order till the kitchen? Correct, you
call a waiter, give him/her the order, which in
turns takes your order till the kitchen and
then your order is made there and then
finally, the waiter comes back with your
delicious ordered food.
API -APPLICATION PROGRAMMING INTERFACE
13. Thus, the API is very much similar to the
waiter. API is the messenger that takes your
order(waiter) and tells the system(kitchen)
what to do (to prepare food) and in return
gives back the response you asked for (waiter
returns with the ordered food).
API -APPLICATION PROGRAMMING INTERFACE
15. There are many good reasons to use Python for
programming database applications:
Programming in Python is arguably more
efficient and faster compared to other
languages.
Python is famous for its portability.
It is platform independent.
BENEFITS OF PYTHON FOR DATABASE
PROGRAMMING
16. Python supports SQL cursors.
In many programming languages, the
application developer needs to take care of the
open and closed connections of the database, to
avoid further exceptions and errors. In Python,
these connections are taken care of.
BENEFITS OF PYTHON FOR DATABASE
PROGRAMMING
17. Python supports relational database systems.
Python database APIs are compatible with
various databases, so it is very easy to migrate
and port database application interfaces.
BENEFITS OF PYTHON FOR DATABASE
PROGRAMMING
19. PYTHON INTEGRATION WITH MYSQL
We discuss how to develop and integrate
Python applications that work with a MySQL
database server. Python is dynamic, and
enterprise language and it has all the support
to build large and complex enterprise
applications. MySQL is the world’s most
powerful and used open-source database
provided by Oracle.
INTRODUCTION
21. PYTHON INTEGRATION WITH MYSQL
Total 5 modules available in python to
communicate with a MySQL and provides
MySQL database support to our applications
and they are:-
1. MySQL Connector Python
2. PyMySQL
3. MySQLDB
4. mysqlclient
5. OurSQL
22. PYTHON INTEGRATION WITH MYSQL
Note: Above all interfaces or modules are
adhere to Python Database API Specification
v2.0 (PEP 249) that means the syntax, method
and the way of access database is the same in
all.
PEP 249 has been designed to encourage
and maintain similarity between the Python
modules that are used to access databases. By
doing this, above all modules are following
rules defined in Python Database API
Specification v2.0 (PEP 249).
23. PYTHON INTEGRATION WITH MYSQL
You can choose any of the above modules
as per your requirement. The way of accessing
the MySQL database remains the same. We
discuss
MySQL Connector Python
Throughout this chapter.
25. PYTHON INTEGRATION WITH MYSQL
What is MYSQL Connector Python?
MYSQL Connector Python is module
or library available in python to
communicate with a MySQL
MYSQL CONNECTOR PYTHON
27. PYTHON INTEGRATION WITH MYSQL
MySQL Connector Python is written in pure
Python, and it is self-sufficient to execute
database queries through python.
It is an official Oracle-supported driver to
work with MySQL and python.
It is Python 3 compatible, actively
maintained.
ADVANTAGES OF MYSQL CONNECTOR PYTHON
30. PREREQUISITES
You need root or administrator privileges to perform
the installation process.
Python must installed on your machine.
Note: – MySQL Connector Python requires python to be
in the system’s PATH. Installation fails if it doesn’t find
Python.
On Unix and Unix-like systems, Python generally
located in a directory included in the default PATH
setting.
On Windows, If Python doesn’t exist in the system’s
PATH, please manually add the directory containing
python.exe yourself.
32. PLATFORM
Platform(s): 64-bit Windows, Windows 10, Windows
7, Windows 8, Windows Vista, Windows XP, Linux,
Ubuntu Linux, Debian Linux, SUSE Linux, Red Hat Linux,
Fedora, MacOs.
Python version(s): Python 2 and 3 and above.
MySQL Version(s): Greater than 4.1
34. WAYS TO INSTALL MySQL Connector Python
There are multiple ways to install Oracle’s
MySQL Connector Python on your machine.
Following are the few ways.
Install MySQL Connector Python using the pip
command.
Install MySQL connector python via source
code (via ZIP or TAR file)
35. WAYS TO INSTALL MySQL Connector Python
Use Built Distribution A package created in
the native packaging format intended for a
given platform. Example, RPM packages for
Linux or MSI installer for windows.
37. PIP Command to install MySQL Connector
Python
pip install mysql-connector-python
If you are facing any problem while installing,
please mention the version of the module and then try
to install again. Refer to the above table to install the
correct version.
pip install mysql-connector-
python==8.0.11
39. PYTHON MySQL DATABASE CONNECTION
Goals - In this session, you’ll learn:
How to connect MySQL Server and create a
table in MySQL from Python.
Different MySQL Connection arguments we
can use to connect to MySQL.
How to change the MySQL connection
timeout when connecting through Python.
41. ARGUMENTS REQUIRED TO CONNECT MYSQL
FROM PYTHON
You need to know the following detail of the
MySQL server to perform the connection from
Python.
Username – i.e., the username that you use
to work with MySQL Server. The default
username for the MySQL database is a root
Password – Password is given by the user at
the time of installing the mysql database. If you
are using root then you won’t need the
password.
42. ARGUMENTS REQUIRED TO CONNECT MYSQL
FROM PYTHON
Host Name – is the server name or Ip address
on which MySQL is running. if you are running
on localhost, then you can use localhost, or it’s
IP, i.e. 127.0.0.0
Database Name – Database name to which
you want to connect.
43. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
44. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Install MySQL Connector Python using pip.
Use the mysql.connector.connect() method
of MySQL Connector Python with required
parameters to connect MySQL.
Use the connection object returned by
a connect() method to create a cursor object to
perform Database Operations.
45. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
The cursor.execute() to execute SQL queries
from Python.
Close the Cursor object using
a cursor.close() and MySQL database connection
using connection.close() after your work
completes.
Catch Exception if any that may occur during
this process.
46. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
47. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Follow the steps:-
Step 1: Start the Python
Step 2: Import Package
Step 3: Open Connection or Connect to
database
Step 4: Create a cursor
Step 5: Execute Query
Step 6 Extract data from the result set
Step 7. Close the connection or clean up the
environment.
48. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 1: Start the Python
Start the Python IDLE editor to write the
script
Step 2: Import MySQL Connector Python
Package.
import mysql.connector
Or
import mysql.connetor as SQLCon
49. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 3: Open Connection or Connect to
database.
Mycon=mysql.connector.connect(
host='localhost',
database='mysql',
user='root',
password='')
50. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 3: Open Connection or Connect to
database.
Mycon=mysql.connector.connect(
host='localhost',
database='mysql',
user='root',
password='')
Mycon is a connection object
51. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
What is Database Connection Object?
A Database connection object controls the
connection to the database. It represents a
unique session with a database connected from
within a script or program
52. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
One can check the connection by writing
the following code.
If mycon.is_connected():
print(“Successfully Connected”)
53. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
What is cursor?
A database cursor is a special control
structure that facilitates the row by
processing of records in the result set.
What is result set?
Result set refers to the logical set of
records that are fetched from the database
by executing an SQL query. It is the set of
records retrieved as per the query.
54. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 4: Create a cursor.
Cursor object=
connectionobject.cursor()
For example:
EmpCursor = mycon.cursor()
Mycon is a connection object
Cursor Object
55. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 5: Execute Query
EmpCursor.execute(“select * from
emp”)
56. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 6: Extract data from the result set.
After retrieving the records from the
DB using SQL Select Query. You need to extract
records from the result set.
57. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
You can extract the result set using any of
the following fetch functions/ cursor methods.
.fetchone() .fetchall()
.fetchmany(n)
.close()
Cursor other methods are: -
.callproc() .nextset()
58. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
.fetchone()
1
Fetch the next row of a query result set,
returning a single sequence, or None when no
more data is available
Data=EmpCursor.fetchone()
V_count=EmpCursor.rowcount
print(“Total Rows retrieved : “,V_count)
print(data)
59. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
.fetchmany(n)
2
Fetch many(n) method will return only the
n number of rows from the result set in the
form of tuple containing the records.
Data=empcursor.fetchmany(4)
V_count=EmpCursor.rowcount
print(“Total Rows retrieved : “,V_count)
for row in data:
print(row)
60. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
.fetchall()
3
Fetch all method will return all the rows
from the result set in the form of tuple
containing the records.
Data=EmpCursor.fetchall()
V_count=EmpCursor.rowcount
print(“Total Rows retrieved : “,V_count)
for row in data:
print(row)
61. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Step 7. Close the connection or clean up the
environment.
Syntax:
Connectionobject.close()
Example:
Mycon.close()
62. STEPS TO CONNECT MYSQL DATABASE IN
PYTHON USING MySQL Connector Python
Python Program to Create Table
import mysql.connector as mysql
db = mysql.connect( host = "localhost", user =
"root", passwd = "dbms", database =
“Employee2019" )
cursor = db.cursor()
cursor.execute("CREATE TABLE users (name
VARCHAR(255), user_name VARCHAR(255))")
66. Python Program to show all tables.
import mysql.connector as mysql
db = mysql.connect( host = "localhost", user =
"root", passwd = "", database = “Emp2019" )
cursor = db.cursor()
cursor.execute("SHOW TABLES")
tables = cursor.fetchall()
for table in tables:
print(table)
SHOW ALL TABLES - PYTHON PROGRAM
68. PARAMETERISED QUERIES
You can run the queries with parameters
For example:
V_marks=56
Select * from student where marks>v_marks
These kind of queries are called as
parameterised queries.
70. To form a parameterised queries there are
two methods.
FORMING QUERY STRINGS
1. % formatting – (OLD STYLE)
2. .format() – (NEW STYLE )
71. FORMING QUERY STRINGS
1. % formatting – (OLD STYLE)
S= “Select * from emp where empid=%s
and dept=‘%s’ “ % ( 1006 , ‘Biotech’)
Example 2: Another Method to use %s :-
Ram=8
Id=2
Input=(ram,id)
Qry= “Update comp set ram=%s where id=%s”
Cursor.execute(Qry,input)
72. FORMING QUERY STRINGS
1. % formatting – (OLD STYLE)
The string formatting uses the following
style:
f % v
Where f is the string template and
v is the value.
For example:
S=“SELECT * FROM STUDENT WHERE
MARKS>%s” %(70,) v
73. FORMING QUERY STRINGS
2. .format() – (NEW STYLE )
New style of creating SQL Query stringss
involves the use of .format() method of the str
type.
“We have {0} hectares planted to {1}”
.format(49,”Okra”)
Resultant string will be:
“We have 49 hectares planted to okra”
Contd…
74. FORMING QUERY STRINGS
2. .format() – (NEW STYLE )
SQL_St=“Select * from student where
makrs>{} and section=‘{}’ “ .format(70,’B’)
After execution SQL_St variable stores:-
“Select * from student where marks >70 and
section=‘B’
77. INSERT AND UPDATE QUERIES
INSERT QUERY
To Insert a record in a table use cursor
object. When you perform insert or update
remember to commit the transaction.
MyQuery=“Insert into student ( rollno,name,
marks) values ({},’{}’,{} ) “
.format(1203,’Raman’,67.6)
Cursor.execute(MyQuery)
Mycon.execute()
79. INSERT AND UPDATE QUERIES
To Update a record in a table use cursor
object. When you perform insert or update
remember to commit the transaction.
MyQuery=“update student set marks={}“ where
marks={}” .format(84,66)
Cursor.execute(MyQuery)
Mycon.execute()
UPDATE QUERY