Download Blaze Tv App
Honorato Overmyer
Now is a good time to sign up for my newsletter. Shortly, I will be sending out to everyone a new short story in a new universe, and it will only be available for folks who sign up for the newsletter in the future. It is a lovely story about an octopus inventor and his invention, exploring the lands beyond the high tide, and the people he will meet.
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Blaze Ward writes science fiction in the Alexandria Station universe as well as The Collective. There are also some superhero tales in Modern Gods. And he writes fantasy stories with several characters and series, from an alternate Rome to epic high fantasy in the desert. You can find out more at his website www.blazeward.com, as well as Facebook, Goodreads, and other places.
Think multiple Admin-, Back- and Frontend-Interfaces for users in different roles. Think lots of different views. Custom & Handcrafted UI & Styling, all built on a fork of a CSS / UI Framework abandoned years ago (Meteor-Ionic, Based on Ionic Framework 1 I think ). SCSS, obviously.
The sentence above is designed to induce terror in anybody having built anything substantial on Blaze, to get in gear to get more eyeballs to look at this & finally start converting their apps to ASYNC!
Also its data-available-everywhere model when using the minimongo liberally leads to really big issues with data not being fetched centrally, but things being re-run granularly in all different kinds of places in more complex projects / templates.
There are measures to work around this, but they all orbit around the idea of trying to store the current computation somewhere, locally, and passing it into and around all reactive code, around the async/await callbacks, mostly using lexical scoping.
This PR: # Allow await-ing autoruns by adding firstRunPromise to computation objects adds a new, await-able field, Computation.firstRunPromise to newly created computations to allow autorun blocks with async autorun functions to be run in a predictable manner.
b) we can continue to try to mitigate issues the best we can as they pop up and try to convert our existing codebases to ASYNC - for the short term. But Blaze will probably never become a fully supported citizen of the ASYNC world of Meteor 3.0 .
Also really nice to see that some of the old fellow meteor experts are around - props to @radekmie (thanks for putting react autoform out - it had helped me a lot back in the days) and @dr.dimitru I think I once used some mongo package of yours.
I have been out of the dev-game for a while now but still look back with a LOT OF LOVE to meteor. I really hope that you guys find a good solution for this. In my world I had left blaze for good and switched to react with meteor.
I would like to emphasize that Blaze is important to us and we care about it. In fact, most of the work done by @radekmie was during the partnership that Meteor Software had with Vazco. @radekmie is very knowledgeable, a great developer and our team loved working with him.
I agree we could find a way to centralize the work and discussion around Blaze. I tried to find some discussions we had on Slack, but unfortunately the messages were removed due to it being a free account. My suggestion is to use the GitHub Discussions, creating a new one just for this.
We use dask.array, a small cluster on EC2, and distributed Read dask distributed Wed 28 October 2015
PyData on HDFS without Java by Matthew Rocklin We use snakebite and distributed to run Pandas on CSV data in HDFS
tl;dr: We use dask to accelerate parameter searches over machine learning pipelines by naming consistently. Read dask sklearn dasklearn Wed 16 September 2015
Analyzing 1.7 Billion Reddit Comments with Blaze and Impala by Daniel Rodriguez and Kristopher Overholt Blaze is a Python library and interface to query data on different storage systems. Blaze works by translating a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze gives Python users a familiar interface to query data living in other data storage systems such as SQL databases, NoSQL data stores, Spark, Hive, Impala, and raw data files such as CSV, JSON, and HDF5. Hive Read blaze impala hive reddit Tue 08 September 2015
Analyzing Reddit Comments with Dask and Castra by Jim Crist The scientific Python ecosystem is great for doing data analysis. Packages like NumPy and Pandas provide an excellent interface to doing complicated computations on datasets. With only a few lines of code one can load some data into a Pandas DataFrame, run some analysis, and generate a plot of the results. However, this workflow starts to falter when working with data that's larger than the RAM on your computer. At this point people often move their workflow from a Python based one into some other larger system like Spark or Hadoop. These are great at what they do, but for small problems are a bit overkill Read dask castra reddit
Talks and Tutorials
- Scale your data, not your process. Welcome to the Blaze ecosystem.
EuroPython 2015, Christine Doig
What Is This Horse Thinking? Fill in the thought balloon shown here. Mail your answer along with your name, address and age to: Blaze magazine, Horse Talk, P.O. Box 2660, Niagara Falls, NY 14302-2660. Or, email your caption to bre...@blazekids.com (put Horse Talk in Subject Line!)
A blaze is a hostile mob that spawns in nether fortresses and is the only source of blaze rods. Blazes attack at range by firing a trio of fireballs or can attack the player that gets too close to them with their spinning rods.[1]
Blazes may spawn naturally in nether fortresses in groups of 2 or 3 at a light level of 11 or less. Blazes spawn from monster spawners in nether fortresses. The spawners are located on small platforms with a three-block staircase leading up to it.
A blaze that touches its target performs a melee attack that does 6 damage on normal difficulty, once per second. This attack is not considered fire damage and does not ignite the target. This cannot be prevented by the Fire Resistance status effect.
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