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Source channel @githubtrending · Post #14922 · Jul 6
#go#dev_tools#development_environment#go#golang#ide#jetbrains#remote_development#terraform#vscode Coder lets you create and manage cloud-based development environments on your own servers or cloud accounts, using Terraform to define setups like VMs, containers, or Kubernetes pods. It securely connects your workspace via a fast tunnel and automatically shuts down idle environments to save money. You can start coding quickly without waiting days to onboard, and use your favorite IDEs like VS Code or JetBrains with easy integration. This means you get flexible, secure, and cost-efficient development spaces that speed up work, protect your code, and let your team collaborate smoothly from anywhere[1][3][5]. https://github.com/coder/coder
Search: #sequential
@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@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.