uncleflo

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Some cool dude. Higher order of decision making. Absolute.

Registered since September 28th, 2017

Has a total of 4246 bookmarks.

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GitHub - mrjbq7/ta-lib: Python wrapper for TA-Lib (http://ta-lib.org/).

https://github.com/mrjbq7/ta-lib

Saved by uncleflo on January 16th, 2022.

This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. The original Python bindings included with TA-Lib use SWIG which unfortunately are difficult to install and aren't as efficient as they could be. Therefore this project uses Cython and Numpy to efficiently and cleanly bind to TA-Lib -- producing results 2-4 times faster than the SWIG interface.

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SimScale - CFD, FEA, and Thermal Simulation in the Cloud | CAE

https://www.simscale.com/

Saved by uncleflo on October 11th, 2019.

SimScale supports all standard 3D files so you can continue using the CAD system you are familiar with. Use the SimScale add-ons to make your workflow as simple as possible. Most simulation tools are complex and difficult to understand. SimScale uses a lean simulation workflow that guides you through the process step-by-step. And with the help of ready-to-use simulation templates, you never have to start from scratch.

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Replicating Amazon Aurora MySQL DB Clusters Across AWS Regions - Amazon Aurora

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Replication.CrossRegion.html#AuroraMySQL.Replication.CrossRegion.Promote

Saved by uncleflo on July 24th, 2019.

You can create an Amazon Aurora MySQL DB cluster as a Read Replica in a different AWS Region than the source DB cluster. Taking this approach can improve your disaster recovery capabilities, let you scale read operations into an AWS Region that is closer to your users, and make it easier to migrate from one AWS Region to another. For each source DB cluster, you can have up to five cross-region DB clusters that are Read Replicas. When you create an Aurora MySQL DB cluster Read Replica in another AWS Region, you should be aware of some pitfalls.

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AWS Autoscaling | Autoscaling and Load Balancing in AWS | AWS Training | Edureka - YouTube

https://www.youtube.com/watch?v=-hFAWk6hyZA

Saved by uncleflo on May 24th, 2019.

In this Edureka tutorial on AWS Autoscaling and Load balancing, you will learn how to implement Autoscaling and Load Balacing service in AWS practically. Also, we will see how we can divert our traffic to different servers based on their path name. We have covered the following topics in this tutorial: What are Snapshots and AMIs? Why AutoScaling? What is AutoScaling? What is a Load Balancer? Hands-on.

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Containers: A Complete Guide | IBM

https://www.ibm.com/cloud/learn/containers

Saved by uncleflo on May 12th, 2019.

This guide looks at the importance of containers in cloud computing, highlighting the benefits and showing how containers figure into such technologies as Docker, Kubernetes, Istio, VMs, and Knative. A container is a small file that packages together application code along with all the libraries and other dependencies that it needs to run. By packaging together applications, libraries, environment variables, other software binaries and configuration files, a container guarantees that it has everything needed to run the application out of the box, regardless of the operating environment in which the container runs. A key characteristic of a container is that it is small and fast because it uses some of the underlying host operating system's resources to run rather than containing a whole OS of its own.

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word2vec - Google Code Archive

https://code.google.com/archive/p/word2vec/

Saved by uncleflo on December 23rd, 2018.

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research. The word2vec tool takes a text corpus as input and produces the word vectors as output. It first constructs a vocabulary from the training text data and then learns vector representation of words. The resulting word vector file can be used as features in many natural language processing and machine learning applications. A simple way to investigate the learned representations is to find the closest words for a user-specified word. The distance tool serves that purpose. For example, if you enter 'france', distance will display the most similar words and their distances to 'france', which should look like:

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Weighting words using Tf-Idf - NLP-FOR-HACKERS

https://nlpforhackers.io/tf-idf/

Saved by uncleflo on December 23rd, 2018.

If I ask you “Do you remember the article about electrons in NY Times?” there’s a better chance you will remember it than if I asked you “Do you remember the article about electrons in the Physics books?”. Here’s why: an article about electrons in NY Times is far less common than in a collection of physics books. It is less likely to stumble upon the “electron” concept in NY Times than in a physics book. Let’s consider now the scenario of a single article. Suppose you read an article and you’re asked to rank the concepts found in the article by importance. The chances are you’ll basically order the concepts by frequency. The reason is simply that important stuff would be mentioned repeatedly because the narrative gravitates around them. Combining the 2 insights, given a term, a document and a collection of documents we can loosely say that:importance ~ appearances(term, document) / count(documents containing term in collection).

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The FEniCS computing platform

https://fenicsproject.org/

Saved by uncleflo on October 26th, 2018.

FEniCS is a popular open-source (LGPLv3) computing platform for solving partial differential equations (PDEs). FEniCS enables users to quickly translate scientific models into efficient finite element code. With the high-level Python and C++ interfaces to FEniCS, it is easy to get started, but FEniCS offers also powerful capabilities for more experienced programmers. FEniCS runs on a multitude of platforms ranging from laptops to high-performance clusters.

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ANSYS Free Student Software Downloads

https://www.ansys.com/academic/free-student-products

Saved by uncleflo on October 23rd, 2018.

ANSYS provides free student software products perfect for work done outside the classroom, such as homework, capstone projects, student competitions and more. Our renewable products can be downloaded by students across the globe. ANSYS Student products can be installed on any supported MS Windows 64-bit machine. Learn more about Discovery Live Student, ANSYS AIM Student and ANSYS Student so you can download them today.

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Ansys - Products - Fluids

https://www.ansys.com/products/fluids

Saved by uncleflo on October 23rd, 2018.

Computational Fluid Dynamics. Computational Fluid Dynamics (CFD) is a tool with amazing flexibility, accuracy and breadth of application. But serious CFD, the kind that provides insights to help you optimize your designs, could be out of reach unless you choose your software carefully. To get serious CFD results, you need serious software. ANSYS CFD goes beyond qualitative results to deliver accurate quantitative predictions of fluid interactions and trade-offs. These insights reveal unexpected opportunities for your product— opportunities that even experienced engineering analysts can otherwise miss. CFD simulation for every engineer. While ANSYS CFD empowers experienced analysts to deliver deep insights, serious CFD is not just for experts modeling rocket ships and racing cars. Engineers at every level across diverse industries are getting great value from CFD. The ANSYS Customer Excellence (ACE) team has seen and solved a vast array of CFD simulation challenges and are ready to help you solve yours. More CFD solutions. Go further and faster with well-validated CFD results across the widest range of general, specialty and multiphysics applications. ANSYS Fluent and ANSYS CFX provide fast results for virtually any fluid or multiphysics application, with industry-leading accuracy and robustness. This serious CFD software has the wide ranging capabilities needed to solve your design problems today and in the future. Solve complex fluid problems. Best-in-class CFD solvers extend the limits of what is possible so you can maximize your product’s performance and efficiency.

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Total Bitcoin network hashing rate

http://bitcoin.sipa.be/

Saved by uncleflo on May 8th, 2013.

Click on the graphs to see larger versions. Total network hashing rate and other graphs analysed.

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