1611327900
Web Scraping exercise for anyone (especially beginners) who wants get more hand on experience on web scraping using Python and Beautiful Soup (BeautifulSoup). In this video, I will walk through each step on how to web scrape Udemy course information.
🔔 Subscribe: https://www.youtube.com/channel/UCvVZ19DRSLIC2-RUOeWx8ug
Source Code:
import requests
from bs4 import BeautifulSoup
def extract_text(soup_obj, tag, attribute_name, attribute_value):
response = soup_obj.find(tag, {attribute_name: attribute_value}).text.strip() if soup_obj.find(tag, {attribute_name: attribute_value}) else ''
return response
def main(url):
try:
print(url)
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
course_title = extract_text(soup, 'h1', 'data-purpose', 'lead-title')
if course_title:
headline = extract_text(soup, 'div', 'data-purpose', 'lead-headline')
rating = extract_text(soup, 'span', 'data-purpose', 'rating-number')
last_updated = extract_text(soup, 'div', 'data-purpose', 'last-update-date')
course_objectives = soup.find('ul', {'class': 'unstyled-list udlite-block-list what-you-will-learn--objectives-list--2cWZN'})
object_items = course_objectives.find_all('li')
summary_bullets = {}
for indx, val in enumerate(object_items):
summary_bullets[indx] = val.text
course_description = extract_text(soup, 'div', 'data-purpose', 'safely-set-inner-html:description:description')
course_content = soup.find('div', {'data-purpose': 'course-curriculum'})
lesson_names = course_content.find_all('li')
lessons = []
for lesson_name in lesson_names:
lessons.append('- ' + lesson_name.span.text.strip())
print('Course Title: {0}'.format(course_title))
print('Headline: {0}'.format(headline))
print('Rating: {0}'.format(rating))
print(last_updated)
print('Course Description:')
print(course_description)
print('')
print('Course Objectives')
print('*' * 50)
print(*summary_bullets.items(), sep='\n')
print('')
print('Lessons:')
print('-' * 50)
print(*lessons, sep='\n')
except Exception as e:
print('Information not available')
url = input('Enter course URL: ')
if url:
main(url)
#python
1593156510
At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Table of Contents hide
III Built-in data types in Python
The Size and declared value and its sequence of the object can able to be modified called mutable objects.
Mutable Data Types are list, dict, set, byte array
The Size and declared value and its sequence of the object can able to be modified.
Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.
id() and type() is used to know the Identity and data type of the object
a**=25+**85j
type**(a)**
output**:<class’complex’>**
b**={1:10,2:“Pinky”****}**
id**(b)**
output**:**238989244168
a**=str(“Hello python world”)****#str**
b**=int(18)****#int**
c**=float(20482.5)****#float**
d**=complex(5+85j)****#complex**
e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**
f**=tuple((“python”,“easy”,“learning”))****#tuple**
g**=range(10)****#range**
h**=dict(name=“Vidu”,age=36)****#dict**
i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**
j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**
k**=bool(18)****#bool**
l**=bytes(8)****#bytes**
m**=bytearray(8)****#bytearray**
n**=memoryview(bytes(18))****#memoryview**
Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.
#signed interger
age**=**18
print**(age)**
Output**:**18
Python supports 3 types of numeric data.
int (signed integers like 20, 2, 225, etc.)
float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)
complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)
A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).
The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.
# String Handling
‘Hello Python’
#single (') Quoted String
“Hello Python”
# Double (") Quoted String
“”“Hello Python”“”
‘’‘Hello Python’‘’
# triple (‘’') (“”") Quoted String
In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.
The operator “+” is used to concatenate strings and “*” is used to repeat the string.
“Hello”+“python”
output**:****‘Hello python’**
"python "*****2
'Output : Python python ’
#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type
1626775355
No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Robust frameworks
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Progressive applications
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
#python development services #python development company #python app development #python development #python in web development #python software development
1624291780
This course will give you a full introduction into all of the core concepts in python. Follow along with the videos and you’ll be a python programmer in no time!
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (1:45) Installing Python & PyCharm
⌨️ (6:40) Setup & Hello World
⌨️ (10:23) Drawing a Shape
⌨️ (15:06) Variables & Data Types
⌨️ (27:03) Working With Strings
⌨️ (38:18) Working With Numbers
⌨️ (48:26) Getting Input From Users
⌨️ (52:37) Building a Basic Calculator
⌨️ (58:27) Mad Libs Game
⌨️ (1:03:10) Lists
⌨️ (1:10:44) List Functions
⌨️ (1:18:57) Tuples
⌨️ (1:24:15) Functions
⌨️ (1:34:11) Return Statement
⌨️ (1:40:06) If Statements
⌨️ (1:54:07) If Statements & Comparisons
⌨️ (2:00:37) Building a better Calculator
⌨️ (2:07:17) Dictionaries
⌨️ (2:14:13) While Loop
⌨️ (2:20:21) Building a Guessing Game
⌨️ (2:32:44) For Loops
⌨️ (2:41:20) Exponent Function
⌨️ (2:47:13) 2D Lists & Nested Loops
⌨️ (2:52:41) Building a Translator
⌨️ (3:00:18) Comments
⌨️ (3:04:17) Try / Except
⌨️ (3:12:41) Reading Files
⌨️ (3:21:26) Writing to Files
⌨️ (3:28:13) Modules & Pip
⌨️ (3:43:56) Classes & Objects
⌨️ (3:57:37) Building a Multiple Choice Quiz
⌨️ (4:08:28) Object Functions
⌨️ (4:12:37) Inheritance
⌨️ (4:20:43) Python Interpreter
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3
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#python #learn python #learn python for beginners #learn python - full course for beginners [tutorial] #python programmer #concepts in python
1624378020
Learn the Python Django framework with this free full course. Django is an extremely popular and fully featured server-side web framework, written in Python. Django allows you to quickly create web apps.
⭐️Course Contents ⭐️
⌨️ (0:00:00) 1 - Welcome
⌨️ (0:01:14) 2 - Installing to Get Started
⌨️ (0:05:02) 3 - Setup your Virtual Environment for Django
⌨️ (0:14:39) 4 - Create a Blank Django Project
⌨️ (0:18:54) 5 - Setup Your Code Text Editor
⌨️ (0:22:27) 6 - Settings
⌨️ (0:29:58) 7 - Built-In Components
⌨️ (0:33:57) 8 - Your First App Component
⌨️ (0:42:34) 9 - Create Product Objects in the Python Shell
⌨️ (0:46:18) 10 - New Model Fields
⌨️ (0:52:52) 11 - Change a Model
⌨️ (0:59:27) 12 - Default Homepage to Custom Homepage
⌨️ (1:04:48) 13 - URL Routing and Requests
⌨️ (1:10:23) 14 - Django Templates
⌨️ (1:16:50) 15 - Django Templating Engine Basics
⌨️ (1:24:00) 16 - Include Template Tag
⌨️ (1:26:49) 17 - Rendering Context in a Template
⌨️ (1:33:21) 18 - For Loop in a Template
⌨️ (1:37:01) 19 - Using Conditions in a Template
⌨️ (1:42:17) 20 - Template Tags and Filters
⌨️ (1:48:59) 21 - Render Data from the Database with a Model
⌨️ (1:59:55) 22 - How Django Templates Load with Apps
⌨️ (2:06:50) 23 - Django Model Forms
⌨️ (2:14:16) 24 - Raw HTML Form
⌨️ (2:25:33) 25 - Pure Django Form
⌨️ (2:35:30) 26 - Form Widgets
⌨️ (2:41:29) 27 - Form Validation Methods
⌨️ (2:48:59) 28 - Initial Values for Forms
⌨️ (2:51:42) 29 - Dynamic URL Routing
⌨️ (2:54:26) 30 - Handle DoesNotExist
⌨️ (2:56:24) 31 - Delete and Confirm
⌨️ (2:58:24) 32 - View of a List of Database Objects
⌨️ (3:00:00) 33 - Dynamic Linking of URLs
⌨️ (3:01:17) 34 - Django URLs Reverse
⌨️ (3:03:10) 35 - In App URLs and Namespacing
⌨️ (3:07:35) 36 - Class Based Views - ListView
⌨️ (3:10:45) 37 - Class Based Views - DetailView
⌨️ (3:15:38) 38 - Class Based Views - CreateView and UpdateView
⌨️ (3:21:23) 39 - Class Based Views - DeleteView
⌨️ (3:24:02) 40 - Function Based View to Class Based View
⌨️ (3:27:15) 41 - Raw Detail Class Based View
⌨️ (3:30:31) 42 - Raw List Class Based View
⌨️ (3:33:32) 43 - Raw Create Class Based View
⌨️ (3:26:03) 44 - Form Validation on a Post Method
⌨️ (3:37:58) 45 - Raw Update Class Based View
⌨️ (3:41:13) 46 - Raw Delete Class Based View
⌨️ (3:42:17) 47 - Custom Mixin for Class Based Views
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=F5mRW0jo-U4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=6
🔥 If you’re a beginner. I believe the article below will be useful to you ☞ What You Should Know Before Investing in Cryptocurrency - For Beginner
⭐ ⭐ ⭐The project is of interest to the community. Join to Get free ‘GEEK coin’ (GEEKCASH coin)!
☞ **-----CLICK HERE-----**⭐ ⭐ ⭐
Thanks for visiting and watching! Please don’t forget to leave a like, comment and share!
#python #django #python django web framework #beginners #full course #python django web framework - full course for beginners
1618217374
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#python web development #hire python developers #hiring python developers #hire python developer #web-development #python