Accelerating Data-on-Demand Services, C++, & Podcast Recommendation
Hi there! Thanks for stopping by. Here, in Scraping Digest, we share top news on everything tech & data gathering. If you’re new to the community, make sure to subscribe and join the conversation by sharing your thoughts and ideas for future editions in the comments below.
How to collect data from tens of thousands of pages in a few minutes? Is C++ a must-know in 2023? And how to go from beginner to expert in Python? Find all the answers inside the freshly-baked edition!
Just last week, we hosted OxyCon 2023 – a yearly event full of inspiring presentations on public web data gathering.
One of the lectures was delivered by Alex Lebedev , Software Engineer at Hotjar, who walked us through server and AWS matters, proxies, and how to save money while building a scraping infrastructure.
Check out the full presentation to hear about Alexander’s extensive experience creating data-on-demand web services, ranging from video analytics to AI-powered assistants:
Moving on from scraping to programming languages, let’s talk about C++ – a general-purpose programming language that has been in use for nearly 40 years.?
The question is – is it worth learning and understanding in 2023? Check out several important reasons you may want to immerse in C++ as well as some of the reasons why you might consider avoiding it:
While C++ is incredibly complex (which you’ll see explained in the video), getting started in Python is more or less easy. However, going from writing variables and creating loops to more sophisticated projects can be quite challenging.
Tune in to one of the recent episodes of the Talk Python To Me podcast, where Eric Matthes , author of the best-selling Python introductory book, shares his 10 tips for moving from Python beginner to expert.
领英推荐
Oxylabs now offers Datasets – collections of fresh, specific-field data that streamline the entire data gathering process and let you focus on data analysis rather than data delivery!
Choose from ready-to-use datasets:
Or go for a Custom option to get data from any public web domain fully tailored to your specific data needs.
Learn more about the features and key benefits of Datasets in our blog post.
It’s common for companies and scraping enthusiasts to encounter situations when scraped public data, especially text data (natural language), is unstructured.
Learn how Natural Language Processing (NLP) helps understand the extracted public data and discover NLP tools that identify speech patterns and thus detect entities in parsed HTML with Adi Andrei , Founder and CEO at Technosophics.
If you have any suggestions or feel like we haven’t covered your questions in this issue, don't hesitate to contact me via LinkedIn.?
Looking forward to hearing from you!
Cheers,
Liza
Tecnico informatico
11 个月??♂?