Dash for macOS Reviews

1. Stan

   · Founder at SaaSHub · over 4 years ago
   One of my favourite productivity tools as a software developer

   Once you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.

   As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.

   p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.

   🏁 Competitors: aText

TensorFlow Reviews

Dash for macOS mentions (90)

• Man pages are great, man readers are the problem

  Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / about 1 month ago

• Why "alias" is my last resort for aliases

  Yeah, I do something kind of similar, using Dash [1] snippets which expand to full commands. Since I'm almost always on my mac, it means they're available in every shell, including remote shells, and in other situations like on Slack or writing documentation. I mostly use § as a prefix so I don't type them accidentally (although my git shortcuts are all `gg`-consonant which is not likely to appear in real typing).... - Source: Hacker News / 3 months ago

• Patterns for Personal Web Sites (2003)

  Yeah, I keep thinking that CHM was the peak format for offline docs. Today we have Kiwix [0] and Dash/Zeal [1] – both amazing projects, but somehow they feel more complex, and the formats they use aren’t as ubiquitous. [0]: https://kiwix.org/en/ [1]: https://kapeli.com/dash for macOS, https://zealdocs.org/ for others. - Source: Hacker News / 4 months ago

• Ask HN: What is one software product that boosted your productivity?

  Dash https://kapeli.com/dash Mac app. A native standardised search and browsing interface for the documentation of almost every programming language out there (and in some cases, their third-party libraries too). - Source: Hacker News / 8 months ago

• Rerun: Visualize Multimodal Data over Time

  Rerun is great. I wish they prioritize rerun_sdk build for iOS and/or Android - so that you can log remotely from mobile devices. Serializing and streaming images, depthmaps, sensors data in own code is a pain and rerun has done great work with that. A little worrying for me that rerun seems getting more complicated and verbose and API changes frequently. The whole vizualization code can clutter algorithm/code... - Source: Hacker News / 9 months ago

TensorFlow mentions (7)

• Creating Image Frames from Videos for Deep Learning Models

  Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago

• Need help with a Tensorflow function

  So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago

• Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7

  Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago

• [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?

  I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago