TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15072 · Aug 18
#other#automation#automation_templates#integration#n8n#n8n_automation#n8n_template#no_code_ai#no_code_automation#workflow_automation You can use a large collection of ready-made automation templates for n8n, an open-source, low-code workflow automation tool that connects over 350 apps. These templates help automate tasks like email labeling, social media posting, document processing, chatbots, and data analysis without needing to build workflows from scratch. This saves you time and effort by letting you quickly implement smart automations for business, marketing, support, and more. n8n’s visual editor and AI integrations make it easy to customize workflows, improving your productivity and operational efficiency with minimal coding. https://github.com/enescingoz/awesome-n8n-templates
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@djangoproject · Post #574 · 02/25/2018, 02:34 PM
http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort
@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.