This document discusses how to use the Beautiful Soup library in Python to parse HTML files and extract tag values. It covers installing Beautiful Soup, reading HTML files, extracting values from specific tags, extracting values from all instances of a tag, creating HTML files in Python, and viewing HTML files and web pages. Functions of the glob module like iglob(), glob(), and escape() are also discussed for filename pattern matching.
This lecture is the second part of an introduction to SVC tools with a focus on Git and GitHub. This Lecture discusses the Git Object Model and Some Git Commands to perform basic operations
This is a material for "Programming in Linux" seminar for students of Seoul National University Interactive and Networked Robotics Laboratory.
Topics: Bash / Vim / GCC / Make / Git...
Author: Dongho Kang
This lecture is the second part of an introduction to SVC tools with a focus on Git and GitHub. This Lecture discusses the Git Object Model and Some Git Commands to perform basic operations
This is a material for "Programming in Linux" seminar for students of Seoul National University Interactive and Networked Robotics Laboratory.
Topics: Bash / Vim / GCC / Make / Git...
Author: Dongho Kang
This presentation was given as a Workshop at OSCON 2014.
New to Go? This tutorial will give developers an introduction and practical
experience in building applications with the Go language. Gopher Steve Francia,
Author of [Hugo](http://hugo.spf13.com),
[Cobra](http://github.com/spf13/cobra), and many other popular Go packages
breaks it down step by step as you build your own full featured Go application.
Starting with an introduction to the Go language. He then reviews the fantastic
go tools available. With our environment ready we will learn by doing. The
remainder of the time will be dedicated to building a working go web and cli
application. Through our application development experience we will introduce
key features, libraries and best practices of using Go.
This tutorial is designed with developers in mind. Prior experience with any of the
following languages: ruby, perl, java, c#, javascript, php, node.js, or python
is preferred. We will be using the MongoDB database as a backend for our
application.
We will be using/learning a variety of libraries including:
* bytes and strings
* templates
* net/http
* io, fmt, errors
* cobra
* mgo
* Gin
* Go.Rice
* Cobra
* Viper
This Presentation is a draft of a summary of "Learn Python The Hard Way" Book which is very helpful for anyone want to learn python from scratch of
For reading the book and do exercises, the book is available for free here: http://learnpythonthehardway.org/book/
This is the talk I have given on Fedora Developer's Conference 2014 in Brno. It provides insight into the security features we added to rsyslog v7, integration into systemd journal, enhancements of the v8 engine and a glimpse at how to write rsyslog plugins in languages other than C.
Infinum android talks_10_getting groovy on androidInfinum
Groovy is a dynamic language similar to Python, Ruby, Pearl and Smalltalk. Since it compiles to Java bytecode it can be used to write Android applications as well. We’ll demonstrate how to setup a Groovy Android application project, show the advantages, disadvantages and provide some code examples.
https://www.youtube.com/watch?v=9yxj9bxQ9H4
This short presentation was a 20 minute talk for Barcamp 4 in Ghent (2011). The talk is about how to work better with GIT. Some tips and tricks and must-do's for people who already use git
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
GitHub is a web-based hosting service for version control using git. It is mostly used for computer code. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project
Main goal of my session is an introduction to GlotPress, it’s usages and tools related to it. In addition I will share some good practices for translating WordPress themes and Plugins.
This presentation was given as a Workshop at OSCON 2014.
New to Go? This tutorial will give developers an introduction and practical
experience in building applications with the Go language. Gopher Steve Francia,
Author of [Hugo](http://hugo.spf13.com),
[Cobra](http://github.com/spf13/cobra), and many other popular Go packages
breaks it down step by step as you build your own full featured Go application.
Starting with an introduction to the Go language. He then reviews the fantastic
go tools available. With our environment ready we will learn by doing. The
remainder of the time will be dedicated to building a working go web and cli
application. Through our application development experience we will introduce
key features, libraries and best practices of using Go.
This tutorial is designed with developers in mind. Prior experience with any of the
following languages: ruby, perl, java, c#, javascript, php, node.js, or python
is preferred. We will be using the MongoDB database as a backend for our
application.
We will be using/learning a variety of libraries including:
* bytes and strings
* templates
* net/http
* io, fmt, errors
* cobra
* mgo
* Gin
* Go.Rice
* Cobra
* Viper
This Presentation is a draft of a summary of "Learn Python The Hard Way" Book which is very helpful for anyone want to learn python from scratch of
For reading the book and do exercises, the book is available for free here: http://learnpythonthehardway.org/book/
This is the talk I have given on Fedora Developer's Conference 2014 in Brno. It provides insight into the security features we added to rsyslog v7, integration into systemd journal, enhancements of the v8 engine and a glimpse at how to write rsyslog plugins in languages other than C.
Infinum android talks_10_getting groovy on androidInfinum
Groovy is a dynamic language similar to Python, Ruby, Pearl and Smalltalk. Since it compiles to Java bytecode it can be used to write Android applications as well. We’ll demonstrate how to setup a Groovy Android application project, show the advantages, disadvantages and provide some code examples.
https://www.youtube.com/watch?v=9yxj9bxQ9H4
This short presentation was a 20 minute talk for Barcamp 4 in Ghent (2011). The talk is about how to work better with GIT. Some tips and tricks and must-do's for people who already use git
This presentation is a part of the COP2272C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce students to the C++ language and the fundamentals of object orientated programming..
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
GitHub is a web-based hosting service for version control using git. It is mostly used for computer code. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for every project
Main goal of my session is an introduction to GlotPress, it’s usages and tools related to it. In addition I will share some good practices for translating WordPress themes and Plugins.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
1. HTML files
Library known as beautifulsoup. Using this library, we can search for the values of
html tags and get specific data like title of the page and the list of headers in the
page.
Install Beautifulsoup
Use the Anaconda package manager to install the required package and its
dependent packages.
conda install Beaustifulsoap
Reading the HTML file
In the below example we make a request to an url to be loaded into the python
environment. Then use the html parser parameter to read the entire html file.
Next, we print first few lines of the html page.
2. • import urllib2
• from BeautifulSoup4 import BeautifulSoup
• # Fetch the html file
• response = urllib2.urlopen(https://avanthimca.ac.in/')
• html_doc = response.read()
• # Parse the html file
• soup = BeautifulSoup(html_doc, 'html.parser')
• # Format the parsed html file
• strhtm = soup.prettify()
• # Print the first few characters
• print (strhtm[:225])
3. Extracting Tag Value
• We can extract tag value from the first instance of the tag using the following code.
• import urllib2
• from bs4 import BeautifulSoup
• response = urllib2.urlopen(https://www.osmania.ac.in/examination-results0.php')
• html_doc = response.read()
• soup = BeautifulSoup(html_doc, 'html.parser')
• print (soup.title)
• print(soup.title.string)
• print(soup.a.string)
• print(soup.b.string)
4. Extracting All Tags
• We can extract tag value from all the instances of a tag using the following code.
• import urllib2
• from bs4 import BeautifulSoup
• response =
urllib2.urlopen('http://tutorialspoint.com/python/python_overview.htm')
• html_doc = response.read()
• soup = BeautifulSoup(html_doc, 'html.parser')
• for x in soup.find_all('b'): print(x.string)
5. • Creating an HTML file in python
• We will be storing HTML tags in a multi-line Python string and saving
the contents to a new file. This file will be saved with a .html
extension rather than a .txt extension.
6. • f = open('GFG.html', 'w')
•
• # the html code which will go in the file GFG.html
• html_template = """<html>
• <head>
• <title>Title</title>
• </head>
• <body>
• <h2>Welcome To GFG</h2>
•
• <p>Default code has been loaded into the Editor.</p>
•
• </body>
• </html>
• """
•
• # writing the code into the file
• f.write(html_template)
•
• # close the file
• f.close()
7. Viewing the HTML source file
• In order to display the HTML file as a python output, we will be using
the codecs library. This library is used to open files which have a
certain encoding. It takes a parameter encoding which makes it
different from the built-in open() function. The open() function does
not contain any parameter to specify the file encoding, which most of
the time makes it difficult for viewing files which are not ASCII but
UTF-8.
8. • # import module
• import codecs
•
• # to open/create a new html file in the write mode
• f = open('GFG.html', 'w')
•
• # the html code which will go in the file GFG.html
• html_template = """
• <html>
• <head></head>
• <body>
• <p>Hello World! </p>
•
• </body>
• </html>
• """
•
• # writing the code into the file
9. • f.write(html_template)
•
• # close the file
• f.close()
•
• # viewing html files
• # below code creates a
• # codecs.StreamReaderWriter object
• file = codecs.open("GFG.html", 'r', "utf-8")
•
• # using .read method to view the html
• # code from our object
• print(file.read())
10. Viewing the HTML web file
• In Python, webbrowser module provides a high-level interface which
allows displaying Web-based documents to users.
The webbrowser module can be used to launch a browser in a
platform-independent manner as shown below:
• # import module
• import webbrowser
•
• # open html file
• webbrowser.open('GFG.html')
11. Regular Expressions with GLOB module
• With the help of the Python glob module, we can search for all the
path names which are looking for files matching a specific pattern
(which is defined by us).
• The specified pattern for file matching is defined according to the
rules dictated by the Unix shell.
• The result obtained by following these rules for a specific pattern file
matching is returned in the arbitrary order in the output of the
program.
• While using the file matching pattern, we have to fulfil some
requirements of the glob module because the module can travel
through the list of the files at some location in our local disk.
12. Glob Module Functions
• Now, we will discuss various more functions of the glob module and
understand their working inside a Python program.
• We will also learn that how these functions help us in the pattern
matching task.
• Look at the following list of functions that we have in the glob
module, and with the help of these functions, we can carry out the
task of filename pattern matching very smoothly:
• iglob()
• glob()
• escape()
13. • 1. iglob() Function: The iglob() function of the glob module is very
helpful in yielding the arbitrary values of the list of files in the output.
• We can create a Python generator with the iglob() method. We can
use the Python generator created by the glob module to list down the
files under a given directory.
• This function also returns an iterator when called, and the iterator
returned by it yields the values (list of files) without storing all of the
filenames simultaneously.
• Syntax: Following is the syntax for using the iglob() function of glob
module inside a Python program:
• iglob(pathname, *, recursive=False)
14. • # Import glob module in the program
• import glob as gb
• # Initialize a variable
• inVar = gb.iglob("*.py") # Set Pattern in iglob() function
• # Returning class type of variable
• print(type(inVar))
• # Printing list of names of all files that matched the pattern
• print("List of the all the files in the directory having extension .py: ")
• for py in inVar:
• print(py)
15. glob() Function:
• With the help of the glob() function, we can also get the list of files
that matching a specific pattern (We have to define that specific
pattern inside the function).
• The list returned by the glob() function will be a string that should
contain a path specification according to the path we have defined
inside the function.
• The string or iterator for glob() function actually returns the same
value as returned by the iglob() function without actually storing
these values (filenames) in it.
• glob(pathname, *, recursive = True
16. • # Import glob module in the program
• import glob as gb
• # Initialize a variable
• genVar = gb.glob("*.py") # Set Pattern in glob() function
• # Printing list of names of all files that matched the pattern
• print("List of the all the files in the directory having extension .py: ")
• for py in genVar:
• print(py)
17. escape() Function:
• The escape() becomes very impactful as it allows us to escape the
given character sequence, which we defined in the function.
• The escape() function is very handy for locating files that having
certain characters (as we will define in the function) in their file
names.
• It will match the sequence by matching an arbitrary literal string in
the file names with that special character in them.
• escape(pathname)
18. • # Import glob module in the program
• import glob as gb
• # Initialize a variable
• charSeq = "-_#"
• print("Following is the list of filenames that match the special character seq
uence of escape function: ")
• # Using nested for loop to get the filenames
• for splChar in charSeq:
• # Pathname for the glob() function
• escSet = "*" + gb.escape(splChar) + "*" + ".py"
• # Printing list of filenames with glob() function
• for py in (gb.glob(escSet)):
• print(py)