How to create a sinusoidal wave in Python using Bokeh and NumPy 🐍
👉 @DataScience4
import numpy as np
from bokeh.layouts import gridplot
from bokeh.plotting import figure, output_file, show
N = 100
x = np.linspace(0, 4 * np.pi, N)
y0 = np.sin(x)
output_file('sinewave.html')
sine = figure(width=500, plot_height=500, noscript='Sine')
sine.circle(x, y0, size=10, color="navy", alpha=0.5)
p = gridplot([[sine]], toolbar_location=None)
show(p)
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📖 The elapsed time between a request and the observable response.
🏷️ #Python
📖 The elapsed time between a request and the observable response.
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📖 The automated collection and transmission of measurements or event data from remote or distributed systems.
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Forwarded from Machine Learning with Python
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━━━━━━━━━━━━━━━
By: @DataScience4 ✨
📢 Build powerful backend APIs effortlessly! This guide teaches you to unlock Django's full potential using the Django REST Framework (DRF).
⚡ Tap to unlock the complete answer and gain instant insight.
━━━━━━━━━━━━━━━
By: @DataScience4 ✨
Telegraph
Build Backend APIs with DRF
📌 How to Use the Django REST Framework - Build Backend APIs with DRF
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📖 A language model optimized for multi-step problem solving.
🏷️ #Python
📖 A language model optimized for multi-step problem solving.
🏷️ #Python
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#PyWhatKit is one of the most popular libraries for automating #WhatsApp and #YouTube.
Repository link: https://github.com/Ankit404butfound/PyWhatKit
👉 @DataScience4
Repository link: https://github.com/Ankit404butfound/PyWhatKit
👉 @DataScience4
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Oxylabs is a fairly well-known company in the web scraping field with ten years of experience.
They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.
Here is a simple example of parsing Bing results:
Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:
- Amazon
- Google
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Trannoscript
You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub
👉 @DataScience4
They have released a Python package for web parsing. With its help, you can extract data from e-commerce sites, search engines, real estate services, and much more.
Here is a simple example of parsing Bing results:
from oxylabs import RealtimeClient
# Specify credentials for Oxylabs API authorization
username = "username"
password = "password"
# Create a Realtime client with our credentials
client = RealtimeClient(username, password)
# Use bing_search to get Bing results for the query "nike"
result = client.bing.scrape_search("nike")
# Print raw data (as is)
print(result.raw)
Oxylabs can work with almost any websites, but they have separate, more specialized APIs for popular platforms:
- Amazon
- Google Shopping
- Bing
- Kroger
- Wayfair
- YouTube Trannoscript
You can learn more about Oxylabs on their website
If you only need the Python package for web scraping, it can be found on GitHub
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📖 An AI coding agent that acts as a collaborative software engineering teammate.
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To quickly get the minimum and maximum value from a sequence, use the built-in functions
min() and max(). Both support the
default parameter — it sets the default value if the sequence is empty. Subscribe for more tips every day!
numbers = [3, 7, 2, 9]
print(min(numbers)) # 2
print(max(numbers)) # 9
# example with an empty list
print(min([], default=0)) # 0
print(max([], default=0)) # 0
https://news.1rj.ru/str/DataScience4
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Django tip:
Use
Example👇
👉 @DataScience4
Use
python manage.py dumpdata to export the database to JSON or other formats. If you save the output to a file, it can be used as a fixture for tests or as initial data for new projects.Example
# Export the entire database to a JSON file
python manage.py dumpdata > data.json
# Export data of a specific app
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