Smartproxy
Bright Data
Oxylabs
NetNut.io
IPRoyal
Zyte
Storm Proxies
Apify
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Smartproxy has been a promising proxy provider since its first days in 2018. They offer a wide selection of proxies (residential, shared and private datacenter proxies) and three full-stack scraping APIs with 100% success rates and a no-code scraper. It has an easy-to-use dashboard, public API, and flexible payment methods. Being awarded for its consumer-centric approach, Smartproxy continues to look for ways to make public data gathering as simple and accessible to everyone as possible.
The key things Smartproxy offers for you:
40M+ high-quality residential IPs with an average speed of <0.5 sec.
Global coverage – target 195+ locations, including cities and 50 US states.
Pay As You Go option - $12.5 per 1GB.
100K+ shared datacenter IPs from the US and Europe.
400K pool of dedicated datacenter IPs from the US.
Unlimited connections and threads.
Full anonymity and security.
30 minutes sticky sessions.
Smart Wallet for easy payment management.
Fantastic 24/7 support.
User-friendly dashboard with a quick and easy proxy setup.
Detailed documentation and an informative blog.
A bunch of free tools with any plan subscription.
3-day money back option.
SmartproxyResidential proxy is quite good. High success rate with their proxies even though it is quite expensive
Smartproxy, in my experience, is a solid choice for heavy-duty web scraping tasks. Been using it for bulk data mining. Their proxy pool's massive – good for avoiding blocks and captchas. Speed's decent, uptime mostly consistent. Setup? Straightforward. But yeah, pricing's a bit on the higher side, especially for large-scale operations. Overall, Smartproxy delivers, especially for those heavy scraping needs.
Based on our record, NumPy seems to be a lot more popular than Smartproxy. While we know about 107 links to NumPy, we've tracked only 5 mentions of Smartproxy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Smartproxy: Offers residential proxies with support for HTTP(S) and SOCKS5. It is known for its high success rate and 24/7 technical support. Smartproxy provides a balance between price and performance, making it accessible to less experienced users (Smartproxy). - Source: dev.to / 17 days ago
For instance, imagine you are conducting market research and need to scrape data from various websites for analysis. By using a residential proxy service like anyip.io or Smart Proxy, you can ensure that your scraping activities are secure and undetectable while maintaining anonymity. Additionally, these services effortlessly handle throttling of threads and swiftly manage captchas. Source: 6 months ago
Smartproxy Rotating residential IPs for multi-accounting. Large rotating residential proxy pool, 195+ countries, no subnets, an easy setup process. The IPs are from both desktop and mobile devices. Different tools for IG automation and affordable price plans ($75/5 GB ($15/GB). However the residential IPs are still P2P, so you have sticky sessions up to 30 min and then proxies rotate. - Source: dev.to / over 1 year ago
Smartproxy is one of the latest rotating residential proxy services to hit the market. Smartproxy offers its users immense features and functionality at affordable rates. If you’re looking for a long-term proxy service to stick to, it’s worth looking at Smartproxy’s unique offerings. - Source: dev.to / almost 3 years ago
This is not so with free proxies because since it’s free, thousands of people have access to it and there are little or no benefits attached to them. With paid proxies, there is better compatibility between the servers that help to prevent constant disconnection each time your proxy server is trying to connect with your internet service provider. Also, with paid proxies, such as Bright Data, Smartproxy, Shifter,... - Source: dev.to / about 3 years ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
OpenCV - OpenCV is the world's biggest computer vision library
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
