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Tag: programming

How low-code can benefit large enterprises like Mondelēz

Join gaming leaders online at GamesBeat Summit Next this upcoming November 9-10. Learn more about what comes next.

The implications of the growth of low- and no-code platforms — platforms that allow users without programming knowledge to build apps — are profound. By 2024, low-code app development will be responsible for more than 65% of all app development activity, according to Gartner. Moreover, the firm predicts that 75% of enterprises will be using at least four low-code…… Read more...

Low code/no code increases efficiency in retail and beyond

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!

Low- and no-code platforms allow developers and non-developers alike to create software through visual dashboards instead of traditional programming. Adoption is on the rise, with a recent OutSystems report showing that 41% of organizations were using a low- or no-code tool in 2019/2020, up from 34% in 2018/2019.
If the current trend holds, the market for low- and…… Read more...

🧙🏻‍♂️ Edge#130: The ML Engineering Magic Behind OpenAI Codex

What’s New in AI, a deep dive into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter.

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💥 What’s New in AI: The ML Engineering Magic Behind OpenAI Codex

OpenAI Codex is one of the most impressive deep learning models ever created. Released a few months ago, Codex can generate code based on natural language sentences. The model is proficient in more than a dozen programming languages and can produce code for fairly complex instructions.… Read more...

Here’s Why You Need Python Skills as a Machine Learning Engineer

If you want to learn how to apply Python programming skills in the context of AI applications, the UC San Diego Extension Machine Learning Engineering Bootcamp can help. Read on to find out more about how machine learning engineers use Python, and why the language dominates today’s machine learning landscape.

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Python is one of the most popular programming languages used in the field of machine learning. According to Kaggle’s annual survey of machine learning…

https://www.kdnuggets.com/2021/10/bootcamp-python-skills-machine-learning-engineer.html… Read more...

Need a New Programming Language? Try Zig

Maybe you’ve heard of it, maybe you haven’t. Zig is a new programming language that seems to be growing in popularity. Let’s do a quick dive into what it is, why it’s unique, and what sort of things you would use it for. (Ed Note: Other than “for great justice“, naturally.)
What Is It? You’ve likely heard of Rust as it has made significant inroads in critical low-level infrastructures such as operating systems and embedded microcontrollers. As a gross…… Read more...

Awesome Python Video Tutorials Keep You Motivated

Programming languages are one of those topics that we geeks have some very strong and often rather polarised opinions about. As new concepts in computing are dreamt up, older languages may grow new features, if viable, or get left behind when new upstarts come along and shake things up a bit. This scribe can remember his early days programming embedded systems, and the arguments that ensued when someone came along with a project that required embedded C++ or worse, Java, when we were mostly diehard C programmers. Fast forward a decade or two, and things are way more complicated. So much choice, so much opinion.… Read more...

Reasons to choose flutter for app development

Flutter is a cross-platform technology developed by Google, that allows creating application programs for mobile, desktop, and web use. It uses the Dart programming language, which is based on the notorious Java. If you know Java/C#, assume you can program with Dart. The technology keeps up with the latest developments and is used by developers around the world. Most importantly, it is open-source and completely free.

Reasons to choose Flutter

Low-cost app development

An ideal cross-platform should meet two requirements: provide a high-quality user experience (smooth animations, native UI elements without slowing down), and be cost-friendly from the development perspective.

The advantage of Flutter is not only in making one application instead of two.… Read more...

TICO Robot Plays Tic-Tac-Toe By Drawing On A Tiny Whiteboard

Tic-tac-toe (or “Noughts and Crosses”) is a game simple enough to implement in any computer system: indeed it’s often used in beginner’s programming courses. A more challenging project, and arguably more interesting and useful, is to make some kind of hardware that can play it in real life. [mircemk] built a simple yet elegant machine that can play tic-tac-toe against a human player in a way that looks quite similar to the way humans play against one another: by drawing.

The robot’s design and programming were developed at PlayRobotics, who named the project TICO. The mechanical parts are available as STL files, to be printed by any 3D printer, and a comprehensive manual explains how to assemble and program the whole thing.

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5 Spectacular Features From Julia I Wish Were In Python

One thing that has to be loved about Julia by all programmers is its robust type system. For my personal preference when it comes to the strength of typing, Julia fits the bill quite well. That being said, Python sits around the same area in terms of the strength of the types, although perhaps a little more implicit with type changing. That being said, I think that Julia’s type-hierarchies and base data-types are far superior to that of Python’s.

This is not to say that Python’s type system is not robust, but there are certainly improvements that could be made. This is especially the case when it comes to inheritance of numerical types and iterables.

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5 Things To Learn As A Data Science Foundation In 2021

This first point might seem kind-of obvious, given that a lot of Data Science is programming and working on a computer, but you might be surprised how often individuals wish to work in the Data Science field and do not know much about computers….

Continue reading: https://towardsdatascience.com/5-things-to-learn-as-a-data-science-foundation-in-2021-1b22c1098e2?source=rss—-7f60cf5620c9—4

Source: towardsdatascience.com
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Weird Python Stuff You Might Not Have Seen Before

If you are a C programmer, it is likely that you are familiar with return types. For all of the non-C programmers out there (or other languages with this feature, Java, C++, etc.) the return type is simply the type of the data that is going to be…

Continue reading: https://towardsdatascience.com/weird-python-stuff-you-might-not-have-seen-before-950a965235fd?source=rss—-7f60cf5620c9—4

Source: towardsdatascience.com
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Data Analysis Using Scala – KDnuggets

By Roman Zykov, Founder/Data Scientist @ TopDataLab

It is very important to choose the right tool for data analysis. On the Kaggle.com forums, where international Data Science competitions are held, people often ask which tool is better. R and Python are at the top of the list. In this article we will tell you about an alternative stack of data analysis technologies, based on Scala programming language and Spark distributed computing platform.

How did we come up with it? At Retail Rocket we do a lot of machine learning on very large data sets. We used to use a bunch of IPython + Pyhs2 (hive driver for Python) + Pandas + Sklearn to develop prototypes.

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A Breakdown of Deep Learning Frameworks – KDnuggets

What is a Deep Learning Framework?

A deep learning framework is a software package used by researchers and data scientists to design and train deep learning models. The idea with these frameworks is to allow people to train their models without digging into the algorithms underlying deep learning, neural networks, and machine learning.

These frameworks offer building blocks for designing, training, and validating models through a high-level programming interface. Widely used deep learning frameworks such as PyTorch, TensorFlow, MXNet, and others can also use GPU-accelerated libraries such as cuDNN and NCCL to deliver high-performance multi-GPU accelerated training.

Why Use a Deep Learning Framework?

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Linear programming with Python and Julia

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AI Architects: The New Programmers

On the nature of the novel paradigm of programming

Artifical Intelligence success stories have become so ubiquitous that it seems that every piece of software will soon incorporate AI in one way or another. But what does an AI program do? AI programs can learn and adapt with experience. The difference in building AI programs from building non-AI ones is bringing about a paradigm shift in our understanding of what programming is. In this article, I explore the essentials of the new paradigm and possible future routes it can take.

Karpathy, in his article “Software 2.0“, describes an AI-triggered paradigm shift.

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Destroying Every Programming Concept You Know With Julia

Before the release of the Lisp programming language, the existence of programming paradigms was really not as defined as it was prior. Prior to this, there were some languages which we would now say are imperative programming languages, but languages and their respective type systems were much like they are today — jumbled.

The Lisp programming language introduced the functional programming paradigm, which was followed later by another well-known and modern programming paradigm, object-oriented programming. Many programmers might be familiar with these two topics, but unsure as to exactly what they mean.

A programming paradigm is the way that different defined data interacts with operations in a programming language.

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9 Outstanding Reasons to Learn Python for Finance – KDnuggets

By Zulie Rane, Freelance Writer and Coding Enthusiast

If you’re thinking about dipping your toe into the finance sector for your career and you stumble across this article, you may be wondering, “How can Python help in finance?”

You, like me, may be surprised to learn that you should learn to code altogether – and even more surprised to learn that the best language for finance is a popular data science language, Python. Learning financial programming with Python is becoming a requirement.

Finance and banking have a reputation for very high salaries, so the job field attracts a large number of applicants.

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GitHub Copilot and the Rise of AI Language Models in Programming Automation

Should I Use Github Copilot?

 
If you are a software engineer, or count any of them among your circle of acquaintances, then you’re probably already aware at some level of Copilot. Copilot is GitHub’s new deep learning code completion tool.

Autocomplete tools for programmers are nothing new, and Copilot is not even the first to make use of deep learning nor even the first to use a GPT transformer. After all, TabNine sprung out of a summer project by OpenAI alum Jacob Jackson and makes use of the GPT-2 general purpose transformer.

Microsoft (which owns GitHub) has packaged their own IntelliSense code completion tool with programming products since at least 1996, and autocomplete and text correction has been an active area of research since the 1950s.

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5 Uncharted Interesting Facts In Python

Those mysterious behaviours of Python need to be noticed

Every programming language will have some weird behaviours. Those are usually not because of bugs or faults but are more likely to be the decision about some dilemma. Just like when we are facing some options, by choosing one item usually means give up the possibilities provided by others. This happens to Python as well, of course.

In this article, I’ve picked several “weird” behaviours in Python. I believe not everyone would know all of them. Hope you can enjoy reading these interesting facts about Python.

Image by photosforyou from Pixabay

The generator is one of the most popular syntax sugar in Python.

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10 Essential Tips to Avoid Programming Burnout

Although some of this advice might be simple, I still think it is vital to consider next time you go to sit down for an extra long programming session. The first thing I want to advise is that the actual work you are doing is something you love. This is even the case if the work is not programming; make sure that you pursue your goals. You only have one life.

If you are like me and you love computers, and science, then Data Science is a no-brainer. That being said, Data Science is certainly not for everyone. Furthermore, Data Science is not for every single programmer on Earth.

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A comprehensive study of Mixed Integer Programming with JuMP on Julia (Part 3)

I am solving a problem with an exponential number of constraints with the Branch-and-Cut framework

Photo by Claudio Schwarz on Unsplash

Yes, it’s possible.

Even though it’s very counter-intuitive, we can handle a linear program with an exponential number of constraints provided that we have a practical (even approached) way of separating these constraints.

This story is a continuation of this one and this one, where I explained how we could use linear programming in order to solve large combinatorial problems, and now we will go to the level above and see how we could use stronger formulations that may contain an exponential number of constraints.

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Programming An Intuitive Image Classifier, Part 1

Image classification is one of the hottest fields of machine learning, data science, and AI, and often used to benchmark certain types of AI algorithms — from logistic regression to deep neural networks.

But for now, I want to take your mind away from those hot techniques, and ask ourselves a question: if us humans saw an image of a handwritten character, or a dog or cat, how would our brains intuitively classify different types of images? Below is an example of digits in an image; “2”, “0”, “1” and “9”.

Photo by NordWood Themes on Unsplash

In the example above of digits (or numbers/numerals), how would our brains differentiate between, say, the 1 and 9 at the bottom?

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Introduction to Automated Machine Learning

What Are AutoML Systems?

 
 
Machine learning (ML) – as a subfield of the broader domain of Artificial Intelligence (AI) – is taking over all kinds of industries and business domains. This includes retail, healthcare, automotive, finance, entertainment, and more. With this wider adoption across all kinds of operations and by a workforce with a diverse set of skills, learning how to work with machine learning is becoming increasingly important.

Due to this expansion of ML usage by the ever-increasing cross-section of employees in an organization, it has become critical to develop systems that can be used by business professionals of all sorts of backgrounds.

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How to get Python PCAP Certification: Roadmap, Resources, Tips For Success, Based On My Experience

By Mehul Varsha Singh, AI Undergrad at U. of Nottingham.

Python is the most popular programming language of this decade. Period.

Regardless of the reason you start to learn Python, you will need to validate your knowledge at some point in your journey against International Standards.

“If you are learning it, you might as well get a certification out of it.” – Mehul

Certificate RoadMap by the Python Institute OpenEDG

Perhaps the 4 most important and talked about Python certificates are ones offered by The Python Institute OpenEDG.

Python Institute Certification Roadmap By OpenEDG.

I have achieved the PCAP (Python Certified Associate Programming) Certification on August 11, 2021 with 90%.

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