Luigi- Luigi is a Python module that helps you build complex pipelines of batch jobs. CronQ- An application cron-like system.Usedw/Luige. Deprecated. Cascading- Java based application development platform. Airflow- Airflow is a system to programmatically author, schedule, and monitor data pipeline...
Hydrosphere Mist a service for exposing Apache Spark analytics jobs and machine learning models as realtime, batch or reactive web services. Data Mechanics A data science and engineering platform making Apache Spark more developer-friendly and cost-effective. Caffe Deep Learning Framework Torch A SCIEN...
Let's say there's a webpage with information about you on it you'd like to get rid of -- like your former employer's staff page, months after you've changed jobs. You reach out to get them to update the page. They do, but when you Google your name, the page still shows up ...
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Python environment management can sometimes give you that awful feeling in the pit of your stomach. So don't do it: just use Docker containers. By Matthew Mayo, KDnuggets Managing Editor on January 28, 2025 in Python See More Latest From Our Partners Learn Python for Data Science in 6 Wee...
Looking for a flexible way to earn money from home? Data entry jobs might be the perfect fit. These roles offer the freedom to work on your own schedule, making them a good option for students, parents, or anyone needing extra income....
My only complaint is how jobs are paid out in little increments instead of all at once at the end of the week. This is to be expected since the hours are so flexible, just a wish I personally have. Pros Work any hours, work when you want, work from home Cons Projects come and go...
Click to share on Reddit (Opens in new window) Click to share on Pocket (Opens in new window) Like this:LikeLoading... Larger PDF version (opens in a new tab). Data Strategy creation is one of the main pieces of work that I have been engaged in over the last decade[1]. In my ...
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from bs4 import BeautifulSoup file = open('linkedin-jobs.csv', 'a') writer = csv.writer(file) writer.writerow(['Title', 'Company', 'Location', 'Apply']) def linkedin_scraper(webpage, page_number): next_page = webpage + str(page_number) print(str(next_page)) response = requests....