Rebalancing: What the fuss is all about?

Apache Kafka is ruling in the world of Big Data. It is just not a messaging queue but a full-fledged event streaming platform. We have looked through the basic idea of Kafka and what makes it faster than any other messaging queue. You can read about it from my previous blog. Also, we looked through Partitions, Replicas, and ISR. We are now ready for our next learning- Rebalancing. Often heard, but never bothered to look at what is going on under the hood. Let’s find out!

Rebalancing means to balance out. Working on a real-time cluster comes with a bunch of problems. Nothing different with Apache Kafka. There will be scenarios when your application shuts down, or one of the nodes is unreachable, consumers are being added or removed from the consumer group, etc. The aim is to rebalance the uneven load in the cluster.

#apache kafka #big data and fast data #scala #tech blogs #consumer rebalancing

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Rebalancing: What the fuss is all about?

Apache Kafka is ruling in the world of Big Data. It is just not a messaging queue but a full-fledged event streaming platform. We have looked through the basic idea of Kafka and what makes it faster than any other messaging queue. You can read about it from my previous blog. Also, we looked through Partitions, Replicas, and ISR. We are now ready for our next learning- Rebalancing. Often heard, but never bothered to look at what is going on under the hood. Let’s find out!

Rebalancing means to balance out. Working on a real-time cluster comes with a bunch of problems. Nothing different with Apache Kafka. There will be scenarios when your application shuts down, or one of the nodes is unreachable, consumers are being added or removed from the consumer group, etc. The aim is to rebalance the uneven load in the cluster.

#apache kafka #big data and fast data #scala #tech blogs #consumer rebalancing

Pattern Matching Statements in Python: What's the Fuss All About?

Python is one of the most popular programming languages on the planet right now. Gone are the days when Java used to come up in conversations as a solution for every software development issue. Today, even though Java and other languages are being used extensively in industries it is Python that has taken the command of all.

Be it the field of research and development to enterprise mobility solutions. Python is finding its way to the top of every field. In one of the instances, the cloud storage giant Dropbox developed a Python code for their application that was more than two thousand lines of length.

The Fuss About Python

Not only this but with the growing popularity of Python and its large open community contributions, developers are becoming more and more drawn towards using the language. This provides an opportunity for small enterprises to leverage Python’s latest features that are input from the open community. Similarly, it also provides an opportunity to bug enterprises especially in the domain of research and development to look at Python’s features and add value to them with new modules and frameworks. One of the biggest examples of this is Facebook’s PyTorch framework. It gives people working in the domain of machine learning and deep learning to design models more conveniently and with the support of a robust framework.

The fuss about Python is not only due to its open-source contributions but due to many reasons. First, Python can be used as a scripting language, making programming much convenient for desirable tasks. On the other hand, it is a dynamic language and offers a greater deal of flexibility when it comes to writing codes. Thus, developers find writing scripts in Python much easier than any other language.

Even though Python offers a lot of flexibility, sometimes that can be an issue. Especially when writing large programs, when multiple teams are working on it, heavy documentation is required and the code is always not very clear. This being the reason, Python is generally not used for writing long codes and pother alternatives are explored.

This and other factors in Python make development a little cumbersome, which is why Python developers often crib over the unclear syntax of the language. However, this calls for improvements and updates in Python, which is what the parent organization does. The Python Software Foundation manages the software and makes sure that the shortcomings of the language are addressed in subsequent updates.

One of the most talked-about updates of the programming language Python that is yet under construction but being considered seriously is that of pattern matching syntax. Regardless of whether you’re familiar with this statement before, we’ll help you understand it in a clear context.

Pattern Matching Syntax

In most languages, the string is passed and handled using regular expressions. This regular expression is used for matching patterns in a programming language. For example, in Python there is a ‘re’ module that provides support for the regular expressions. Implying from this, a search result is often written as:

Python

Match = re.search(pattern, string)

The above statement takes an expression pattern and a string. It then looks up the pattern within that string. If the desirable pattern is identified or found within the string provided, the function returns a match object. In all other cases, it returns a ‘None’.

#python #pattern #fuss

What is all the Fuss About Python?

The Python programming language has been around for over 20 years but recently it feels like its an overnight sensation. Python has moved from being a fringe language for beginners, biologists, and natural language analysis to being the go-to language in nearly every domain of computing.

Whlie there is a lot of inertia in the choice of a programming language for a project, the adoption pattern of Python is quite different than "that cool new language that came out a few years ago". While most new programming languages are exciting for early adopters, by the time they are a few years old, many early adopters have moved on to the next big thing and the languages never find their way into the mainstream. Python seems different - Python seems to have a solid and continuously growing market share - and in particular Python seems to invade and take over application areas previously dominated by well-established technologies. We will look at some of the inherent aspects of Python that make it "sticky" - once you go Python you rarely go back or go anywhere else.

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Further reading about Python

☞ Complete Python Bootcamp: Go from zero to hero in Python 3

☞ An A-Z of useful Python tricks

☞ A Complete Machine Learning Project Walk-Through in Python

☞ Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

☞ Top 10 Python Frameworks for Web Development In 2019

#python #machine-learning #web-development

What is all the Fuss About Python?

The Python programming language has been around for over 20 years but recently it feels like its an overnight sensation. Python has moved from being a fringe language for beginners, biologists, and natural language analysis to being the go-to language in nearly every domain of computing. Whlie there is a lot of inertia in the choice of a programming language for a project, the adoption pattern of Python is quite different than “that cool new language that came out a few years ago”. While most new programming languages are exciting for early adopters, by the time they are a few years old, many early adopters have moved on to the next big thing and the languages never find their way into the mainstream. Python seems different - Python seems to have a solid and continuously growing market share - and in particular Python seems to invade and take over application areas previously dominated by well-established technologies. We will look at some of the inherent aspects of Python that make it “sticky” - once you go Python you rarely go back or go anywhere else. …

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☞ Beginner’s guide on Python: Learn python from scratch! (New)

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#python #web-development

GPT-3: What Is All the Fuss About?

In recent years, the AI circus really has come to town and we’ve been treated to a veritable parade of technical aberrations seeking to dazzle us with their human-like intelligence. Many of these sideshows have been “embodied” AI, where the physical form usually functions as a cunning disguise for a clunky, pre-programmed bot. Like the world’s first “AI anchor”, launched by a Chinese TV network and — how could we ever forget — Sophia, Saudi Arabia’s first robotic citizen.

But last month there was a furore around something altogether more serious. A system The Verge called, “an invention that could end up defining the decade to come.” It’s name is GPT-3, and it could certainly make our future a lot more complicated.

So, what is all the fuss about? And how might this supposed tectonic shift in technological development change the lives of the rest of us ?

An Autocomplete For Thought

The GPT-3 software was built by San Francisco-based, OpenAI, and The New York Times has described it “…by far the most powerful “language model” ever created,” adding:

_A language model is an artificial intelligence system that has been trained on an enormous corpus of text; with enough text and enough processing, the machine begins to learn probabilistic connections between words. More plainly: GPT-3 can read and write. And not badly, either…GPT-3 is capable of generating entirely original, coherent and sometimes even factual prose. And not just prose — it can write poetry, dialogue, memes, computer code and who knows what else. — _Farhad Manjoo, New York Times

In this case, “enormous” is something of an understatement. Reportedly, the entirety of the English Wikipedia — spanning some 6 million articles — makes up just 0.6 percent of GPT-3’s training data.

#creativity #nlp #artificial-intelligence #ethics #future #artificial intelligence