#pyscript

[habilelabs]

As you know Javascript & Python languages are known for their flexibility. Let's introduce with amazing newer development in the coding world — “PyScript”.

[billtj]

PyScript vs. JavaScript: A Battle of Web Titans | Towards Data Science

[cromacampusinstitute]

Python is popular for full-stack development because of its simplicity, versatility, and extensive library support. It enables developers to build robust back-end systems using frameworks like Django and Flask while also supporting front-end development with tools like PyScript and integrations with JavaScript libraries.

[hackernewsrobot]

PyScript: An open source platform for Python in the browser

https://pyscript.net/

[uswanth123]

ORACLE APEX AND PYTHON

Unlocking the Power of Oracle APEX with Python

Oracle APEX (Application Express) is a renowned low-code development platform enabling you to rapidly build scalable, secure, and visually appealing web applications directly within your Oracle Database. Python stands as a highly popular, general-purpose programming language celebrated for its readability, vast libraries, and robust community support. Integrating these two technologies creates remarkable opportunities to enhance your APEX applications.

Why Combine Oracle APEX and Python?

Here’s a breakdown of the compelling reasons to bring Oracle APEX and Python together:

Tap into Python’s Specialized Libraries: Expand APEX’s capabilities by exploiting Python’s rich collection of libraries. Unleash advanced machine learning models, implement intricate data analysis, or perform scientific calculations that extend far beyond native APEX features.

Leverage Existing Investments: If you possess pre-existing Python code or scripts, you can seamlessly integrate them into your APEX applications. This saves time and effort, preventing the need to reinvent the wheel within APEX.

Flexibility and Power: Python grants you extensive flexibility, making it suitable for tackling complex use cases that could push the limits of APEX’s declarative capabilities.

Methods of Integration

Let’s explore popular ways to connect Oracle APEX with Python:

ORDS (Oracle REST Data Services) and REST APIs:

Build a Python-based REST API, perhaps using frameworks like Flask or FastAPI.

From your APEX application, utilize the built-in web service features to consume data from these Python-powered RESTful endpoints.

This approach provides flexibility for data exchange and processing.

Oracle Database’s Multilingual Engine (MLE): (This requires a specific Oracle database version.)

Directly execute Python code inside your Oracle Database leveraging MLE.

Access and manipulate database data with the ease Python offers, allowing for streamlined data-centric operations.

PyScript: (An experimental approach)

PyScript brings the ability to run Python scripts directly within your APEX pages.

Harness client-side Python processing for interactive elements and visualizations while keeping in mind that PyScript is still under active development.

Example: Machine Learning Integration

Let’s imagine a scenario where you want to incorporate a sentiment analysis model into your APEX application. Here’s how you would approach it:

Develop a Python Model: Train and save a machine learning model using a library like scikit-learn to perform sentiment analysis on text data.

Create a REST API: Expose your Python model through a REST API (using Flask or similar). This API will accept text input and return the sentiment (e.g., positive, negative, neutral).

APEX Integration: From your APEX application, send text inputs to your Python REST API. Display the returned sentiment analysis results to your users.

Note: To execute these steps, you’ll need basic proficiency in both Oracle APEX and Python.

The Future is Bright

As Oracle continues to enhance APEX and Python integration capabilities, we can anticipate a future where these technologies mesh even more smoothly. The possibilities are boundless: from creating intelligent APEX applications to driving data-driven decision-making.

If you’re looking to take your Oracle APEX development to the next level, don’t hesitate to explore the exciting intersection with Python!

You can find more information about  Oracle Apex in this  Oracle Apex Link

Conclusion:

Unogeeks is the No.1 IT Training Institute for Oracle Apex  Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Oracle Apex here – Oarcle Apex Blogs

You can check out our Best In Class Oracle Apex Details here – Oracle Apex Training

Follow & Connect with us:

———————————-

For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at: info@unogeeks.com

Our Website ➜ https://unogeeks.com

Follow us: 

Instagram: https://www.instagram.com/unogeeks

Facebook: https://www.facebook.com/UnogeeksSoftwareTrainingInstitute

Twitter: https://twitter.com/unogeeks

[jcmarchi]

Peter Wang, CEO & Co-Founder of Anaconda – Interview Series

New Post has been published on https://thedigitalinsider.com/peter-wang-ceo-co-founder-of-anaconda-interview-series/

Peter Wang, CEO & Co-Founder of Anaconda – Interview Series

Peter Wang is the CEO and co-founder of Anaconda. Prior to founding Anaconda (formerly Continuum Analytics), Peter spent 15 years in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.

As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating for increasing data literacy around the world. Peter holds a BA in Physics from Cornell University.

With more than 35 million users, Anaconda is the world’s most popular platform to develop and deploy secure Python solutions, faster.

What initially attracted you to computer science?

I started coding at a young age, without a formal computer science degree. While initially drawn to it for the thrill of commanding a computer to perform tasks, my interest deepened when I discovered the creative possibilities – crafting games and expressing ideas. For me, a computer transcends mere functionality; it’s an endless canvas for self-expression. In the early era of computing, creativity knew no bounds, and there was a seamless flow between different pursuits. However, with the current industrialization and layers of abstraction, unleashing creativity has become more challenging.

Could you share the genesis story behind Anaconda, Inc?

My co-founder and I started Anaconda in 2012, but the origins of the business can be traced back to when we were software consultants. We saw the developing grassroots adoption of the Python programming language for business data analysis and knew that a revolution was under way. Industries that required heavy numerical computing capabilities like finance flocked to Python, and over time the language saw rapid adoption in healthcare, manufacturing, retail, and every industry pursuing advanced analytics to make better business decisions. But despite the widespread organic growth of Python, we felt the industry was missing the real story: the massive need for high-performance advanced analytics tools that could be harnessed by non-programmers. At first, investors were uncertain of programming languages or open-source ecosystems and didn’t see the value in the Python data community that Anaconda had stewarded. But this practitioner-led growth strategy ultimately led to Anaconda and the Python ecosystem rapidly gaining adoption across every industry all over the world.

Anaconda is committed to fostering open-source innovation, why is open-source so important?

I am a firm believer that transparency and collaboration are key factors for successful development of technology and solutions for society as a whole. Open-source not only guarantees transparency, but also enhances collaboration and fosters an innovation culture among developers. The more perspectives and knowledge there are working together to develop solutions, the better the outcome. The principles behind open-source closely align with Anaconda’s mission to democratize technology and enhance education as well – open-source software provides valuable learning opportunities for developers, students, and enthusiasts where they can study the code, learn best practices, and gain practical experience by contributing to open-source projects.

In 2022 Anaconda launched PyScript, a web-based tool for coding in the browser and deploying apps with the click of a button. Could you share some details regarding this tool and what makes it so powerful?

After debuting the open-source PyScript project last year as proof of concept, in March 2023 we released PyScript.com, a site that allows anyone to build rich, interactive, shareable Python-powered web applications directly in the browser. This flexible coding platform has a plug-and-play modular development environment and can create next-generation web applications with Python-powered data interactivity and computation, drastically reducing the entry barriers that make programming overwhelming for 99% of citizens who don’t have existing coding skills. With this launch, Anaconda is increasing accessibility by providing a framework that equips anyone to gain experience in Python development.

The data science industry has boomed over the last decade as data-driven decision-making has become the norm—boosting data scientists to #3 on Glassdoor’s ​​50 Best Jobs in America for 2022. But while the industry is thriving, there is still room to upskill the current workforce and remove existing barriers of entry to those curious about the world of coding. This launch was the first step in democratizing data science. Additionally, individuals and organizations that focus on upskilling and reskilling will always be at a competitive advantage. By providing an online platform that anyone can access, without the burden of downloading files and configuring environments, PyScript provides a great opportunity to learn Python, the most popular programming language in the world.

What are your views on the future of coding?

The evolution ahead entails a surge in overall code production, with a significant portion generated by machines. However, human validation will remain integral. The conventional image of programming – inputting code into a text file – will transform. The future of constructing information systems will diverge from traditional coding practices, embracing a landscape where code is generated. I also predict that emerging systems will center around data specification and modeling, reshaping coding as we know it today.

Anaconda now serves over 35 million users, what do you attribute this success to?

I believe that we have reached this scale of users by offering a wide variety of educational materials and tools catered to all types of users – ranging from students to professional coders. As technological innovation continues, there has continually become more need for Python skills in nearly every industry. With our mission to democratize Python, making coding and the fundamentals accessible to all, we’re able to provide the resources needed to build skills for jobs now and in the future.

One of your passions is expanding access to data literacy, could you share some details regarding your efforts with this?

I believe that if we reach students as they get started with data science, we can make more significant progress on our mission to achieve worldwide data literacy. To support that, Anaconda has started engaging with high schools in the US and globally to host a Data Science Expo that brings students together to showcase Python skills, share innovative projects, and potentially win college scholarships. Additionally, we recently introduced Anaconda Learning, which offers over twelve courses, granting students who successfully finish them a certificate that can enhance their prospects of securing employment or advancing in their educational journey. Anaconda Notebooks is also designed to help people immediately jump into data science and Python coding. In May of 2023, Anaconda acquired EduBlocks, a free platform bringing fundamental coding skills to K-12 students and beginner professionals. Through the acquisition, EduBlocks will further Anaconda’s mission to democratize data and Python skills for the future workforce. As data science and AI/ML models continue to gain prevalence in work and life, Anaconda can be the source for guidance and training to take advantage of this new world.

Why should the future of AI be completely open?

Similar to my sentiments around open-source, transparency and collaboration will lead to more successful development of AI technology and benefit the greater good for society as a whole. While there is no denying that the AI arms race is an exciting moment in technology, the widespread usage of AI models could flood the Internet with information not generated by real-world events that will contaminate future training data sets for future models. This will lead to a “model cannibalism” effect where future models amplify and are forever biased by the output of past models. At the rate of new models rolling out, ethical debates surrounding AI, such as legal/copyright concerns, and bias in model training can no longer remain on the back burner. With open development comes more accessibility, and the ability for a wider group of backgrounds, skillsets, and experience to work together – creating a domino effect towards more successful (and ethical) outcomes.

What is your vision for the future of AI?

I anticipate the rise of more compact, comprehensible AI models. Resolving issues related to content rights and copyright will be pivotal. Expect widespread adoption of these AI technologies in real business scenarios and customer experiences. The focus will shift to guiding and training AI for positive utilization. This transition can be compared to the evolution of engines – moving from large to small, with a newfound emphasis on motor applications.

We now have access to a form of “basic” intelligence capable of performing tasks that once demanded human expertise – not necessarily difficult, but requiring dynamic agility. These are use cases previously overlooked due to the need for human intervention, but with the advent of AI, the once challenging is now achievable.

Thank you for the great interviews, readers who wish to learn more should visit Anaconda.

[edujournalblogs]

Full Stack Python Developer

Python has become one of the most popular programming language ever since the growth of Data Science, Machine Learning and Artificial Intelligence etc., over the years. In the web application development, python has a large number of modules, libraries, framework like Django, Flask etc to make web development easier. You need to follow a roadmap to become a Full Stack Python Developer.

Some major roles of Full Stack Developers are as follows:

Designing User Interface (UI)

Developing Backend Business Logic

Handling Server and Database connectivity and operations

Developing API to interact with external applications

Integrating third party widgets into your application

Unit Testing and Debugging

Testing and Hosting on Server

Collaborating with cross-functional teams to deliver innovative solutions that meet customer requirement and expectations.

To become a Full Stack Python Web Developer, you need to be proficient in HTML, CSS and Java Script, have a good knowledge of database management, good understanding of the libraries, framework like Django, Flask, CherryPy etc which will help in streamlining the process of writing web applications. Frameworks are collections of modules or packages that provide a default application structure facilitating quick and easy development of web applications. These frameworks ease the development of both the front-end (HTML, CSS, JavaScript, PyScript, Brython etc) , back-end (Django, Flask, CherryPy, Pyramid ) and Database Management tasks to design, manipulate, and decipher queries (MySql, MongoDB, SQLite), GIT etc for web application development.

if you wish to make a career in Data Science, you need to have a good understanding of mathematics and statistics, good understanding of the database concepts, understanding of various libraries and tools associated with Python, various Algorithms used for Machine Learning, Artificial Intelligence, NLP, Manipulating data, Data Analytics and Visualization etc. if you are performing tasks like Automation, Data Analytics, machine learning, robotics, chatbot with AI etc python does make your life easier.

Conclusion: Python is a versatile and in-demand programming language, and it is easier for anyone to pivot from one field to another easily. If you have a passion and dedication to learn new technologies and develop your skills and knowledge, you can become a full stack developer by joining our Edujournal Bootcamp, which will enable you to learn job-relevant skills. With opportunities in Data Science and Web Application Development growing by the day for Python Developers, do not miss this wonderful opportunity to make a great career out of it. You will get an opportunity to work with our experienced professionals along with their overwhelming support. Happy coding !

URL : www.edujournal.com

[thethinkingaurora]

Yeah sure sounds good to me

I’m currently making a PyScript page for it so it should be useable in a reasonable amount of time

I just had a stupid idea.

Inspired by this post

I can't code worth a chip of flaming chull dung, but I'll do what I can, so here's what we should do: we should create a new incorrect quotes generator using samples from our own WIPs, and then have everyone run their characters through it and turn it into like a tag game where you create three incorrect quotes using the generator and then propose one from your own writing to be added into it or something. Get the vision?

Anyway, here's who I'm recruiting for my crack idea that may never get off the ground (Note: I started working on it right after typing those words. I'm not very far, but progress is being made. If someone else thinks they can get it all coded and stuff before I get it done [which you'd probably be right in thinking], feel free and I'll hand the reins over to you): All my mutuals. All of 'em. Feel free to bring more people into this as well.

So to begin with the tagging: @tildeathiwillwrite, @somethingclevermahogony, @the-ellia-west, @smudged-red-ink (wake up pls I'm still worried), @aesthetic-writer18,

@pastellbg (ik you're not a writing mutual exactly but I said all), @illarian-rambling, @lunaeuphternal, @thewritingautisticat, @aalinaaaaaa,

@elizaellwrites, @cybercelestian, @pluppsauthor, and @corinneglass!

...

I'm not exactly sure what you're supposed to do with this information quite yet, but... I dunno. It's still very possible I'll forget about this within the week, so someone make sure to remind me I started another stupid project, k?

[mentalisttraceur-software]

An aimless rambly post about in-browser Pythons, with the approximate theme of:

I think I'd recommend PyScript at least as much as Brython for quick practical Python-in-the-browser web development if you don't really need to optimize performance.

PyScript is much more "heavy" since the underlying Pyodide is a full compile of CPython to WebAssembly, plus libraries, one of which gives it a built-in ability to download modules from PyPI from within the Python running in your browser. The heaviness and slow load time used to annoy me, but it buys you much more compatibility and certainty of compatibility with CPython.

The killer feature for me is being able to just import most packages that you might want to use without any of the hassle of "how do I get this into the browser?". Just `await micropip.install(foo)` in your browser-side Python code before `import foo` and you're good to go. Python has always been the language you reach for, first and foremost, when you strongly prefer to optimize for developer time+work instead of computer time+work, or when you want a great ability to tinker or modify code in situ. And doing something resembling "pip install" in the browser is very much a good example of that.

Right now, if you wanted to use one of my Python modules on Brython and you didn't know where to start, I'd have to write several sentences - grab the source, put it over there, maybe run the right brython-cli command to bundle it. If you want to use one of my Python modules on PyScript, you just grab it from PyPI with micropip and it just works (barring some edge cases which I recently helped them fix, which is in micropip v0.2.0 already and should be coming to Pyodide in v0.22).

One thing I liked about Brython is that it ships with some quality-of-life improvements for manipulating the DOM through its `browser` module, which tries to provide some ergonomics that you can't get in JavaScript for lack of operator overloads and the like. But PyScript has a good enough FFI to JavaScript that we can just start with the DOM manipulation that we would do in JavaScript, and then code whatever Python ergonomics we want around it (which could then just be uploaded to PyPI).

I also have mixed feelings about how PyScript gets all over the HTML namespaces - tags like `<py-script>` and `<py-config>`, attributes on HTML elements like `py-onclick` or whatever, that kind of thing. It's adding complication/coupling/non-orthogonality to buy a little developer experience friendliness. It feels fine now but I expect it'll prove clunky and annoying over time in various little ways - although to be fair, that's a problem that in part requires browsers and web standards to solve, and once that's standardized it shouldn't be too hard to migrate.

PyScript load times and download size can be pretty bad, but they're working on it. Admittedly an inherently hard problem, but I still think in the long term that gets solved out-of-band. Anecdotally, comparing the Brython website's demo REPL and the Pyodide (which PyScript uses) website's demo REPL, Brython loads perceptibly faster. But I haven't done any hard thorough measurements for real-world websites. For example, Brython lets you build a .js file with just the modules you're using, while the REPL on their website includes the whole standard library just in case. I'm not sure what PyScript's story is for that, but the out-of-band solutions are obvious and similar - bundlers and so forth.

Thing is, if you're really angling for performant Python-in-browser, you either transpile Python to JavaScript (something like Transcrypt, trading some semantic/feature consistency for speed), or you compile your Python to WebAssembly (conceptually something like Cython+Emscripten, but I haven't tried it or looked into how to actually do it) - and if you do that last thing, well incidentally you can upload that as yet another pre-compiled WASM wheel to PyPI which can then be used with PyScript too. And that looks a lot like the modern Python world where CPython speed is fine and if it isn't you compile the hot path Python code into native code.

Just like the Python of old, it will be one of the slower languages on the block for a while. Longer start up or page load times, more memory usage, more overheads all over the place just in case you're using the dynamic flexibility at execution time. That's fine. Humanity used Python twenty years ago, and it was fast enough for many uses. Today I think PyScript is in a similar boat. It will be slow, at first. That's fine. People will use it when they need to go fast, when the productivity or expressiveness or flexibility benefits of Python matter more than the fact that the page took a little while longer to load. Especially since you might be writing a web page that gets opened once and then stays open for hours or days on the user's computer.

Slowly but surely the automatic optimizations will catch up, and in the meantime, PyScript seems like the best contender for the cases where you want Python, not almost-Python but really Python, in the browser.

[yesitlabsllc]

✏Pyscript is a new way of running python in HTML just like Java script. Now you can run python straight from browser.

✏A more powerful scripting language that runs in the browser.

[raulprtech]

En la reciente PyCon US 2022 tuvimos una gran sorpresa. PyScript permite utilizar Python directamente en el navegador. Y viene con muchas ventajas. Aquí te dejo algunas. #javascript #python #developer #web #desarrolloweb #pyscript https://www.instagram.com/p/CdL5NOOLbrY/?igshid=NGJjMDIxMWI=