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PyTorch recently announced that their new release would utilise the GPU on M1 arm chipset macs. This was indeed a delight for deep learning enthusiasts who own an M1 mac. In order to check out the performance of this new release, I went ahead and ran some tests. …

Building powerful dashboards using python, elasticsearch, apache Kafka and Kibana — Stream processing is an extremely powerful data processing paradigm which helps us process massive amounts of data points and records in the form of a continuous stream and allows us to achieve real time processing speeds. Apache Kafka is an extremely powerful tool when it comes to data streams. It…

Python is fantastic language for learning objected-oriented programming. An important pillar of objected-oriented programming is using inheritance in your code. Writing two classes which represent a similar real world object but bear not relationship with each other is actually on not much use. This is the short blog on how…

As the number of digital data transactions are increasing, it is becoming extremely important to get some insights out of this ever increasing data pile and organizations are looking towards to creating analytics of this data in a real-time manner. Many analytics engines and systems use batch processing to perform…

Rest APIs are beautiful pieces of software that enable applications to communicate with a database or with other software very effectively. The kind of operations which you can perform are as follows are GET, POST, PUT, DELETE, TRACE, etc. The GET method is generally used for fetching some information from…

I decided to revisit the concepts of deep learning and chose PyTorch as a framework for this task. I started off with the implementation of a basic neural network in PyTorch using the various tools this framework provides such as Dataloader, the nn module and LR scheduler and more. I…

At many stages during a developer’s career, he/she has to build systems capable of communicating with another. For example, there may be two python programs and the second program’s operations might depend on the output of the first program. There can be multiple programs in that linear sequence, with every…

I have come across many developers who face serious issues when it comes to installing tensorflow on a linux distro such as Ubuntu. There are very few instances when the installation goes smoothly the first time itself. Mostly, the developer has to face a plethora of error messages which get…