While the crypto economy shed billions in value this week, 18 different digital assets have accrued double-digit gains during the last week. At the same time, the top two leading crypto assets by market capitalization, bitcoin and ethereum, have lost between 2.8% to 6.2% in value in seven days.

Bitcoin (BTC) and ethereum (ETH) have lost a bit of value according to weekly statistics, and a number of alternative digital assets have done a whole lot better. Today, the crypto economy is worth $2.36 trillion and it is down 2.9% during the last day. BTC has shed 2.8% in value during the last seven days, and ETH has lost 6.2% since last week. However, 18 crypto tokens have accrued double-digit gains against the U.S. dollar this past week.

For instance, Sushiswaps decentralized exchange (dex) token sushi (SUSHI) has gained 67% during the last seven days. Near (NEAR) jumped 57.8%, fantom (FTM) climbed 49.6%, and oasis network (ROSE) spiked 48% during the course of the week. Other top weekly gainers included convex finance (+35.7%), aave (+33%), theta network (+24.8%), uniswap (+19.2%), osmosis (+18.2%), kadena (+16.8%), iota (+15.8%), and the sandbox (+15%).

Cosmos, polkadot, enjin, monero, celo and curve token also saw double digit gains this week as well. Out of the $2.36 trillion in value, across more than 12,000 crypto assets, BTCs dominance is 38.3% while ethereums dominance is 19.1%. Discussing bitcoin (BTC) prices with Bitcoin.com News, the co-founder of Huobi Group, Du Jun, said that the price of bitcoin tends to stabilize and traders should pay attention to the changes in price direction.

According to data from Huobi Global, BTCs price stabilized during [the] daytime, after a sharp drop at night, fluctuating back and forth from $47,500, changing directions several times, Huobis co-founder explained to our newsdesk. From the 4h k-line, three EMA lines descended steeply, k-line was located near the lower rail of the Bollinger Bands, and the opening of the Bollinger Bands expanded significantly, Jun added. The analyst further added:

Although the decline has been blocked, the short side is still relatively strong, especially seen from the daily line. This decline has caused the BTC price to fall again at a similar rate after a one-week price increase, and there is a trend of forming a downward channel again. Short-term upside is less likely. In short term, pay attention to the changes in the price direction and the support of the $45,500 position below.

While the values of bitcoin (BTC) and ethereum (ETH) have both seen declines, numerous alternative crypto assets are gaining on the dominant crypto markets. A recently published study indicates that altcoins have surged threefold since 2014, and 2021s top ten performing crypto assets outshined BTC and ETH by a longshot in terms of gains. Despite the losses bitcoin (BTC) is still up 76.1% year-to-date (YTD) and ethereums YTD metrics indicate ether has gained 416%.

As far as ethereum (ETH) markets are concerned, Huobi Globals Du Jun said that ethereum markets were very similar to BTCs market patterns. [The] price of ETH stabilized during daytime after a sharp drop at night, oscillating slightly back and forth, changing directions several times, echoing the BTC price trend, and it is now near $3,800, Jun added on Wednesday. Juns ethereum (ETH) market outlook continued:

From the 4h k-line, the downward adjustment is strong and the momentum is relatively large. Each moving average descended steeply, and the trading volume increased. From [the] daily level, the downside trend is less obvious. In the short term, pay attention to the support of the 4680 position below. Once it breaks through, the price downward trend will be formed.

What do you think about the 18 crypto assets that have recorded double-digit gains this past week? What do you think about the two leading crypto market assets recent performance? Let us know what you think about this subject in the comments section below.

Jamie Redman is the News Lead at Bitcoin.com News and a financial tech journalist living in Florida. Redman has been an active member of the cryptocurrency community since 2011. He has a passion for Bitcoin, open-source code, and decentralized applications. Since September 2015, Redman has written more than 5,000 articles for Bitcoin.com News about the disruptive protocols emerging today.

Image Credits: Shutterstock, Pixabay, Wiki Commons

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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As Bitcoin and Ethereum See Sharp Drops, 18 Crypto Assets Captured Double-Digit Gains Last Week Markets and Prices Bitcoin News - Bitcoin News

When you hear raytracing, you might think of complex dark algorithms that to stare too long at their source code invites the beginning of madness. And youre technically not far off from the truth, but [h3r2tic] put a small open-source ray tracing game demo up on GitHub. The actual rust code powering the game is relatively short (just four files), with the longest file being the physics file. But, of course, there is a small mountain of code under this sample in the form of libraries.

Kajiya, physx-rs, and dolly are the three libraries that make this little demo possible. Kajiya, in particular, is what makes raytracing possible as it uses the newer RTX features (so only more recent Nvidia and AMD cards are supported) and Vulkan bindings. But, of course, it isnt wholly ray-traced as we are still several years out from proper real-time raytracing. Nevertheless, the blend between raytracing and traditional rasterization looks incredible. The most important thing about this simple tiny sample isnt the game itself but what it stands for. It shows how easy it is to create a sample like this. Even just five years, creating a demo like this required massive effort and expertise.

Visually, it is stunning to look at. While the reflections are most apparent, the takeaway from this is the ease that real-time global illumination brings. A quick look through the code shows that there are very few lights in the scene, despite looking well lit with soft shadows. Traditional video games spend a significant amount of development time lighting a scene, placing additional lights, and tweaking them to make up for all the shortcuts that lighting has to take in a rasterized environment. As more and more games are built with raytracing in mind rather than tacked on at the end, we can ditch the small crumbling mountain of hacks that we are forced to use in games today and just rely on the rays to accurately light a scene.

If using a library for your raytracing seems too easy, perhaps youd like to take on the challenge of raytracing in excel. Video after the break.

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Whipping Together A Little Ray Tracer Racer - Hackaday

Ethereum network is facing many operational challenges that put ETHER token at risk

In 2021, Ethereum has outperformed major cryptocurrencies like Bitcoin when it comes to growth. Although it is currently showing no signs of recovery from its recent crash on December 4th, cryptocurrency investors believe that Ethereum will make a far better comeback in 2022. Unfortunately, that seems very unlikely with the current deteriorating situation. The Ethereum network is facing many operational challenges that put the cryptocurrency at the risk of losing to its rivals such as Cardano and Solana.

Over the past few years, Ethereum and ETHER have become synonymous with each other. While Etheruem is the blockchain network that backs the ETHER token, people consider them both as an amazing decentralized model and a cryptocurrency. Therefore, the Ethereum networks challenges often directly reflect on ETHERs price. Ethereums connection with Bitcoin is also inevitable. Yes, ETHER price is also pegged to BTCs price rallies quite often. In a nutshell, Etheruem network and its digital token are highly influenced by the mechanism behind it and the cryptocurrencies surrounding it. However, Ethereum is having a hard time combating its technical challenges recently. This has paved the way for other potential virtual tokens like Solana and Cardano to step on their accelerator. If the challenges prevail and Ethereum fails to address them in 2022, then its competitors will take over ETHERs position real soon.

Without evaluating its capabilities, many investors are coming forward to invest in Ether tokens and institutional investors are also crowding the space. Besides, the Ethereum network also houses other applications that are relatively complex and difficult. Although its features are pretty amazing, it leaves us to the question, Can Etheruem network really handle all this? Using an open-source code with algorithms that is backed by supply and demand, the site runs many applications.

While Ethereums DeFi application is often considered a top choice, the practical numbers suggest otherwise. According to research by Dune Analytics, 2-5% of transactions on Ethereum-based decentralized exchanges failed due to complications such as slippage or insufficient gas price. Besides, the Ethereum network is also facing bumps due to its inability o scale to meet demands. Although its recent upgrade, Ethereum 2.0, is launched to address these underlying technical issues, it might take years for the platform to completely streamline the revisions.

In August, Etheruem ran into unexpected trouble when the network was split into two separate chains after falling victim to a bug in the software. Since the platform serves as a major source to develop applications like Dapps, NFTs, smart contracts, etc, it shook the users for a while. Ethereum initially panicked as it couldve been a double-spent attack that could put all its users data and billions of dollars at risk. Fortunately, the attack left most of its features unscathed. The incident brought to light that although Ethereum is fueled by amazing technology, it is relatively new and needs time to attain maturity.

Currently, Etheruem runs on a proof-of-work (PoW) system, which is capable of making 15 transactions in a second. It is double times what the Bitcoin network can do. When the number of transactions increases and the fee reduces after Etheruem 2.0 upgrade, the platform has more responsibility than ever before to make sure that the work goes seamless. Besides, building Dapps, NFTs, and smart contracts in Ethereum 2.0 is complicated as it demands more technical skills. Many users might lack sufficient education to get the best out of the platform.

As mentioned earlier, the Ethereum platform and its functionalities have a direct impact on ETHERs price. Therefore, if the network fails to address user problems, it will eventually reflect on ETHERs market presence and its stand in the market.

Solana and Cardano are two amazing Etheruem Killers that are in the line to take over its position anytime. Solana has surged more than 17,500% in 2021 alone, outperforming many other cryptocurrencies. It gives heavy competition to Ethereum over the smart contract capabilities. Solana is more quicker and efficient compared to its counterpart.

Many believe that Cardano is the direct competitor of Ethereum as the long-term project is developed by Ehtereum co-founder at its helm. Cardani is one of the few L1 blockchains that refuse to compromise their attributes in favor of scalability. Besides, its grand vision for the future keeps it at the forefront of adoption.

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Ethereum Might Get Crushed Between Solana and Cardano in 2022 - Analytics Insight

With three days left until the end of 2021, the Ethereum network and its native token ether have had a phenomenal year as ether has increased more than 450% in value in 12 months. 145 days ago, on August 5, the Ethereum network implemented the London hard fork and since that day, 1,283,226 ether worth close to $5 billion has been burned.

Around four months ago, Ethereum implemented the London upgrade which added a number of new rule-sets to the chain. The most transformative included EIP-1559, an Ethereum rule-set improvement that created a new fee rate scheme allowing the network to burn a portion of ether.

The algorithm results in the base fee per gas increasing when blocks are above the gas target, and decreasing when blocks are below the gas target. The base fee per gas is burned, EIP-1559s description notes.

As of today, December 28, 2021, 1.28 million ether has been destroyed by the burn process, which equates to close to $5 billion in USD value using todays ETH/USD exchange rate. The amount of value burned to-date is 31.57% higher than what had been burned on November 24, when the burn rate crossed 1 million ether. Estimates indicate that theres 118,926,664 ether in circulation today.

The biggest burner has been the non-fungible token (NFT) marketplace Opensea as it has burned 134,126 ether worth $498 million across 9.5 million transactions. Traditional ether transfers by network participants burned 122,365 ether since August 5, which equates to $483 million using todays ETH exchange rates. The decentralized exchange (dex) Uniswap v2 has burned 112,159 ether worth $457 million.

The stablecoin tether (USDT), used on Ethereum, has burned 67,932 ether worth $268 million and Uniswap v3 has burned 42,020 ether worth $167 million. The top five ETH burners are followed by Metamask (29.2K ether burned), USDC (25.9K ether burned), Axie Infinity (16.7K ether burned), Sushiswap (15.1K ether burned), and the Opensea Registry (14.8K ether burned).

What do you think about the 1.2 million ether burned since August 5? Let us know what you think about this subject in the comments section below.

Jamie Redman is the News Lead at Bitcoin.com News and a financial tech journalist living in Florida. Redman has been an active member of the cryptocurrency community since 2011. He has a passion for Bitcoin, open-source code, and decentralized applications. Since September 2015, Redman has written more than 5,000 articles for Bitcoin.com News about the disruptive protocols emerging today.

Image Credits: Shutterstock, Pixabay, Wiki Commons

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

Originally posted here:

Ethereum Has Burned 1.2 Million ETH in 4 Months, Close to $5 Billion in Ether Destroyed Technology Bitcoin News - Bitcoin News

The term open source refers to something people can modify and share because its design is publicly accessible.

The term originated in the context of software development to designate a specific approach to creating computer programs. Today, however, "open source" designates a broader set of valueswhat we call "the open source way." Open source projects, products, or initiatives embrace and celebrate principles of open exchange, collaborative participation, rapid prototyping, transparency, meritocracy, and community-oriented development.

Open source software is software with source code that anyone can inspect, modify, and enhance.

"Source code" is the part of software that most computer users don't ever see; it's the code computer programmers can manipulate to change how a piece of softwarea "program" or "application"works. Programmers who have access to a computer program's source code can improve that program by adding features to it or fixing parts that don't always work correctly.

Only the original authors of proprietary software can legally copy, inspect, and alter that software. And in order to use proprietary software, computer users must agree (usually by signing a license displayed the first time they run this software) that they will not do anything with the software that the software's authors have not expressly permitted. Microsoft Office and Adobe Photoshop are examples of proprietary software.

Open source software is different. Its authors make its source code available to others who would like to view that code, copy it, learn from it, alter it, or share it. LibreOffice and the GNU Image Manipulation Program are examples of open source software.

As they do with proprietary software, users must accept the terms of a license when they use open source softwarebut the legal terms of open source licenses differ dramatically from those of proprietary licenses.

Open source licenses affect the way people can use, study, modify, and distribute software. In general, open source licenses grant computer users permission to use open source software for any purpose they wish. Some open source licenseswhat some people call "copyleft" licensesstipulate that anyone who releases a modified open source program must also release the source code for that program alongside it. Moreover, some open source licenses stipulate that anyone who alters and shares a program with others must also share that program's source code without charging a licensing fee for it.

By design, open source software licenses promote collaboration and sharing because they permit other people to make modifications to source code and incorporate those changes into their own projects. They encourage computer programmers to access, view, and modify open source software whenever they like, as long as they let others do the same when they share their work.

No. Open source technology and open source thinking both benefit programmers and non-programmers.

Because early inventors built much of the Internet itself on open source technologieslike the Linux operating system and the Apache Web server applicationanyone using the Internet today benefits from open source software.

Every time computer users view web pages, check email, chat with friends, stream music online, or play multiplayer video games, their computers, mobile phones, or gaming consoles connect to a global network of computers using open source software to route and transmit their data to the "local" devices they have in front of them. The computers that do all this important work are typically located in faraway places that users don't actually see or can't physically accesswhich is why some people call these computers "remote computers."

More and more, people rely on remote computers when performing tasks they might otherwise perform on their local devices. For example, they may use online word processing, email management, and image editing software that they don't install and run on their personal computers. Instead, they simply access these programs on remote computers by using a Web browser or mobile phone application. When they do this, they're engaged in "remote computing."

Some people call remote computing "cloud computing," because it involves activities (like storing files, sharing photos, or watching videos) that incorporate not only local devices but also a global network of remote computers that form an "atmosphere" around them.

Cloud computing is an increasingly important aspect of everyday life with Internet-connected devices. Some cloud computing applications, like Google Apps, are proprietary. Others, like ownCloud and Nextcloud, are open source.

Cloud computing applications run "on top" of additional software that helps them operate smoothly and efficiently, so people will often say that software running "underneath" cloud computing applications acts as a "platform" for those applications. Cloud computing platforms can be open source or closed source. OpenStack is an example of an open source cloud computing platform.

People prefer open source software to proprietary software for a number of reasons, including:

Control. Many people prefer open source software because they have more control over that kind of software. They can examine the code to make sure it's not doing anything they don't want it to do, and they can change parts of it they don't like. Users who aren't programmers also benefit from open source software, because they can use this software for any purpose they wishnot merely the way someone else thinks they should.

Training. Other people like open source software because it helps them become better programmers. Because open source code is publicly accessible, students can easily study it as they learn to make better software. Students can also share their work with others, inviting comment and critique, as they develop their skills. When people discover mistakes in programs' source code, they can share those mistakes with others to help them avoid making those same mistakes themselves.

Security. Some people prefer open source software because they consider it more secure and stable than proprietary software. Because anyone can view and modify open source software, someone might spot and correct errors or omissions that a program's original authors might have missed. And because so many programmers can work on a piece of open source software without asking for permission from original authors, they can fix, update, and upgrade open source software more quickly than they can proprietary software.

Stability. Many users prefer open source software to proprietary software for important, long-term projects. Because programmers publicly distribute the source code for open source software, users relying on that software for critical tasks can be sure their tools won't disappear or fall into disrepair if their original creators stop working on them. Additionally, open source software tends to both incorporate and operate according to open standards.

Community. Open source software often inspires a community of users and developers to form around it. That's not unique to open source; many popular applications are the subject of meetups and user groups. But in the case of open source, the community isn't just a fanbase that buys in (emotionally or financially) to an elite user group; it's the people who produce, test, use, promote, and ultimately affect the software they love.

No. This is a common misconception about what "open source" implies, and the concept's implications are not only economic.

Open source software programmers can charge money for the open source software they create or to which they contribute. But in some cases, because an open source license might require them to release their source code when they sell software to others, some programmers find that charging users money for software services and support (rather than for the software itself) is more lucrative. This way, their software remains free of charge, and they make money helping others install, use, and troubleshoot it.

While some open source software may be free of charge, skill in programming and troubleshooting open source software can be quite valuable. Many employers specifically seek to hire programmers with experience working on open source software.

At Opensource.com, we like to say that we're interested in the ways open source values and principles apply to the world beyond software. We like to think of open source as not only a way to develop and license computer software, but also an attitude.

Approaching all aspects of life "the open source way" means expressing a willingness to share, collaborating with others in ways that are transparent (so that others can watch and join too), embracing failure as a means of improving, and expectingeven encouragingeveryone else to do the same.

It also means committing to playing an active role in improving the world, which is possible only when everyone has access to the way that world is designed.

The world is full of "source code"blueprints, recipes, rulesthat guide and shape the way we think and act in it. We believe this underlying code (whatever its form) should be open, accessible, and sharedso many people can have a hand in altering it for the better.

Here, we tell stories about the impact of open source values on all areas of lifescience, education, government, manufacturing, health, law, and organizational dynamics. We're a community committed to telling others how the open source way is the best way, because a love of open source is just like anything else: it's better when it's shared.

We've compiled several resources designed to help you learn more about open source. We recommend you read our open source FAQs, how-to guides, and tutorials to get started.

Excerpt from:
What is open source software? | Opensource.com

Matplotlib is the most well-established Python data visualization tool, focusing primarily on two-dimensional plots (line charts, bar charts, scatter plots, histograms, and many others). It works with many GUI interfaces and file formats, but has relatively limited interactive support in web browsers.

Matplotlib

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications.

Bokeh

Plotly's Python graphing library makes interactive, publication-quality graphs. It is a popular and powerful browser-based visualization library that lets you create interactive, JavaScript-based plotsfrom Python.

Plotly

HoloViz is an Anaconda project to simplify and improve Python-based visualization by adding high-performance server-side rendering (Datashader), simple plug-in replacement for static visualizations with interactive Bokeh-based plots (hvPlot), and declarative high-level interfaces for building large and complex systems (HoloViews and Param).

HoloViz

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Anaconda | Open Source

What is common between Netflix, Google, Uber, Spotify, Apple and Microsoft? All these giants of their industries believe the answer to the question "What is the future of Python?" is that it is extremely bright. In 2021, Python celebrated the 30th anniversary of its launch and showed no signs of slowing down in developing as the most preferred programming language in the contemporary world.

With more than 25 million amateur users and more than 8 million professional developers trusting Python as their go-to language, it seems to be in the lead position going into the third decade of the 21st Century. In this blog post, we will look at what the future has in store for Python and what Python has in store for us in the future.

It must be mentioned that Python's future-making ability is no mere accident: years of steady corporate investments from companies like Google and Amazon Web Services have ensured that Python has the best support ecosystem it needs to thrive as a programming language. The dues seem to have paid off: Python today boasts of an extremely immersive and trustworthy community that stands by its programmers and developers by offering well-rounded peer to peer support.

Let's take a quick peek at why Python is the programming language of the future.

The Millenial Coding Language: Python's Growing Open Source Community Appeal

One of the most important reasons that Python is both already popular and still growing in terms of users is the accessibility and readability of the code it generates. Python was deliberately designed such that it would be similar to the standard English language. This has made coding and programming a simple task that anyone can accomplish as quickly as they can learn to speak English.

The Millennial Appeal: 40% of all Python users belong to the age group of 21-29 years, with an additional 10% belonging to the 18-20 years cohort.

Perfect for Beginners: Additionally, as of 2020, almost a third of all Python users have less than one year of coding experience. This statistic speaks for itself insofar as Python's mass appeal and upward trajectory in the app and web development community are concerned!

Preferred Tool for Independent Development: Not only this, almost 50% of Python users work on their projects as independent contractors or freelance creators, with estimates suggesting that the development and analytics industry is looking to hire more than 40,000 Python Developers.

The rise in Python's popularity also has to do with its community of trustworthy and acclaimed peers who leave no stone unturned in helping each other. While many other programming languages have lost their ability to accommodate evolution and facilitate smoother integration with the innovations of its time, Python has been consistently keeping in touch with the latest trends. In this respect, Python has undoubtedly succeeded, as a result of which it holds one of the keys to the future of technological progress.

Delivering Tomorrow More Efficiently: Python's Future in Data Science and Smart Analytics

As the global business and entertainment ecosystems take a giant leap through the advancements offered by big data analysis, Python is poised to enable the pivot. By making tools built specifically for tasks such as complex calculations, data visualisation problems, and traffic-based content management, Python is fast becoming the bedrock of Data Science and Smart Analytics. Let's take a closer look at how and why:

Pythons Meteoric Rise: From 2016-2018, KDNuggets and Kaggle report that Python overtook R as the most used programming language for data science-related purposes: today, more than 65% of all analytics professionals use Python as their primary language. Python has thus made itself indispensable to data scientists.

Python's rise is already visible from the use of Python by companies like Amazon Web Services, Spotify and Google, to mention a few. Therefore, Python's symbiotic relationship with Data Science is one of the essential reasons why Python is the language of the future!

Learning for the Future: AI, Automation and Machine Learning

It is no secret that we are edging closer to a time where practical applications of machine learning and automation will be introduced in the forms of self-driving cars, social administration programmes, medical diagnosis, and many more! This new reality will most certainly be written in the language of Python.

Achieve Basis Tasks Faster in the Future: Python's future growth looks like an upward curve as more and more developers and companies seek to eliminate redundancies to save both time and money lost for basic tasks.

Great for Traffic-Based Content Management: Python's libraries, such as Scikit, Pandas, and Tensorflow, provide a flexible and dynamic foundation based on which projects such as big-data processing pipelines and targeted content delivery can be effectively achieved at a minimal cost. Think of, for instance, how the Spotify algorithm decides precisely the right music to show you: this is made possible because of Python-based app development!

Flawless Compatibility with Other Languages: Python is a blessing for machine learning and robotics programmes written in C or C++ as it enables smooth integration, which can interface with almost any other programming language. Thus, Python opens up the possibility of reviving projects that might have earlier not been feasible in other languages!

Tailor-made for Neural Networking: In projects involving neural networking (to programme reactions to recurrent patterns), a language like Python, which is close to the language of speech, is essential for any probability of success. Thus, for all such projects involving deep learning and analysis of patterns in data, Python is almost a necessity.

The future of Python is thus set in stone as the go-to language for developers engaging in deep machine learning projects, companies looking to scale up by using big data analytics or efforts aimed at achieving social applications of automation!

Not Just Writing the Future, But Bringing It To You: Python's Persistence in the Rise of Web Development

We already know that human beings will spend a lot of the 21st Century on the internet. It means preparing technological innovation for social application and coming up with the tools to deliver the applications themselves. This is the place where Python has already traditionally thrived: even though it competes with other web development languages, till the late 2010s, companies used to hire python developers mainly for the task of web development services.

Today, Python Development Companies and App Developers are making a resurgence as "DevOps Managers" and are still working on the unwavering foundation of Python because:

Seamless Integration: Python further offers a smooth integration experience with other programming languages such that developers can utilise it in the creation of embedded applications. Application and web development thus consistently rank amongst the biggest tasks for which the Python database is utilised.

Rich Library Resources: The existence of frameworks such as Django, Pyramid, and Flask makes Python App and Web development particularly faster. Python Web Development Services ensure that developers don't have to start from scratch but can utilise some elements already built-in into the network through its numerous libraries and packages.

Python thus possesses versatile capabilities of withering today's storms while also preparing for tomorrow: this is what makes it the programming language of the future. In 2022, the number of data scientists and machine learning experts using Python is only slated to increase because of the investment of money and human resources into delivering applications of technological innovations. While they may be less in proportion, the absolute number of web developers and DevOps managers using Python is also sure to move upward.

Pathbreaking Python: The Democratic Future of Programming Languages

Four factors have thus contributed to the rise of bright prospects for the future of Python:

Corporate investments and dedicated developer community;

The promise of smooth integration and faultless compatibility with other languages;

Endless libraries and packages for specialised tasks such as ML and AI;

The open-source nature of the network that makes programming inexpensive.

Through Python, creating new services more efficiently and integrating these services with the aim of effectively delivering them to the end consumer has become a relatively simpler process. This is evident because, even in academic spaces, Python-based Development has become a mandatory skill to be acquired in the 21st Century. It is the primary instrument through which students can translate knowledge and information into questions and hypotheses.

Python, therefore, holds the key to the future application of technological advancements being materialised into tangible reality. Are you ready to speak in the language of Python and open the door to the new world?

Author Bio:

Mahipalsinh Rana is a CTO of Inexture Solutions, he has more than 15 years of experience in software development with a strong focus on mobile app development for all kinds of platforms including iOS and Android. Along with his guidelines, many agencieshire python developersto build their online presence & complete complex project. He loves to write and share about technology, startups, entrepreneurship, and business

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Python: The Programming and Development Language of the Future - Finextra

Open source, as a technology, has been massively adopted by companies in recent years. Finding the right talent, though, is still a challenge for recruiters. 92% of hiring managers surveyed have reported difficulty finding open source talent, according to the latest 2021 Open Source Jobs Report by the Linux Foundation and EdX, with 97% of hiring managers saying that hiring open source talent is a priority.

In order to tap into the huge potential held by open source technologies, it is essential for tech professionals to pursue the right kind of certifications to build a solid career in this space. Lets take a look at a few of these certifications professionals can pursue.

The certifications from the Linux Foundation can be very helpful to jumpstart a career in Linux Kernel Internals and Development, Developing Applications For Linux, Developing Linux Device Drivers, etc. Here are a few certifications that the Linux Foundation provides that you should keep your eye on:

This is for experienced developers required to be proficient in C programming and familiar with basic Linux utilities and text editors. Through this course, the students will get to learn about the tools and methods for developing C programs and systems programming under Linux. They will also learn debugging techniques, process management, Linux specific paid and system calls, among others.

For more details, click here.

This will provide experienced programmers with a good understanding of the Linux kernel. To pursue this course, students have to be proficient in the C programming language and basic Linux (UNIX) utilities (ls, grep and tar). They should also have knowledge of available text editors (.emacs, vi, etc.). This course will teach students how Linux is architected, how kernel algorithms work, hardware and memory management, how the kernel developer community operates and how to efficiently work with it, among other concepts.

For more details, click here.

It is for experienced developers who want to understand the methods and internal infrastructure of the Linux kernel. It comes with hands-on exercises and demonstrations designed to give necessary tools to develop and debug Linux kernel code.

For more details, click here.

Red Hat says that an IT professional who is a Red Hat Certified Specialist in OpenShift Administration will possess the skills, knowledge, and abilities needed to create, configure and manage a cloud application platform using Red HatOpenShift. They will also be able to manage users and policies, control access to resources, create and manage applications, configure cluster scaling, etc.

Red Hat says that the kind of people that may be interested in becoming a Red Hat Certified Specialist in OpenShift Administration will be system administrators or developers who want to demonstrate their OpenShift Container Platform skills, and site reliability engineers who work in a DevOps environment and want to show their capabilities with Red Hat OpenShift Container Platform.

To become a Red Hat Certified Specialist in OpenShift Administration, Red Hat recommends taking the Red Hat OpenShift I: Containers & Kubernetes (DO180) and Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) courses.

For more details, click here.

This certification is for DevOps engineers to build their capabilities in the management of binary repositories, security, and CI/CD pipelines using Artifactory. After completing this certification, professionals will be able to show their expertise in DevOps practice to accelerate their careers. It is for DevOps engineers who have a fundamental knowledge of JFrog Artifactory, binary repository management and CI/CD pipelines.

The company says that the skills and abilities of Artifactory needed for this certification include describing key JFrog Artifactory features,configuring local, virtual and remote repositories in Artifactory,automating tasks in Artifactory using the REST API and the JFrog CLI, integrating CI servers with Artifactory, managing metadata and properties in Artifactory, troubleshooting common issues and logs, among others.

For more details, click here.

MongoDB says that when one becomes MongoDB Certified, they will get exposure to MongoDB Certified Professionals Finder, where employers go to seek out their top-choice candidates.

General coding knowledge is needed for both of these certifications, along with fundamental database concepts, system programming, basic JavaScript programming, and fundamentals of software development.For more details, click here.

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Top Certifications To Pursue In The Open Source Software Domain - Analytics India Magazine

Analysis The disclosure of a critical security hole in Log4j last week has renewed calls to rethink how open-source software gets developed, paid for, and maintained, not that the long-simmering issue ever really went away.

The Log4j bug, an unauthenticated remote code execution flaw (CVE-2021-44228) in Apache's open-source Log4j Java-based logging library, is particularly serious and far-reaching because exploitation is not difficult and the software is widely used and buried deep within many programs.

Annoyance with the handful of project maintainers for failing to catch the bug prompted one, developer Volkan Yazici, to voice indignation about all the people bashing the maintainers for their unpaid, volunteer labor without offering any financial support or contributed code fixes.

The exploitation of open-source software by companies that use freely available works without giving back to the community has been a sore spot among open source project maintainers for years.

It's sometimes referred to as the open source sustainability problem, a characterization that downplays corporate determination to minimize costs and maximize profits.

Among open-source projects that aspire to become profitable companies and to avoid having their uncompensated labor co-opted by more established rivals, the issue has been described in adversarial terms predatory tech giants strip-mining open source instead of ecological euphemisms that avoid assigning blame.

Weighing in on the current state of affairs, Filippo Valsorda, a Google cryptographer and security lead of the internet giant's Go programming language, on Saturday called for open source maintainers to engage with companies using their software on a more professional level, in order to get paid and make open source more sustainable.

"Maintainers need to be legible to the big company department that approves and processes those invoices," he wrote in a personal blog post. "Think about it: no company pays their law firm on Patreon."

Think about it: no company pays their law firm on Patreon

Dan Lorenc, who left Google in October after almost nine years to found security startup Chainguard, said that in terms of Google's interactions with open-source projects, the problem was distribution rather than funding.

"Corporations have a budget and are willing to spend, but it takes too much time," he said via Twitter. "Finding projects that need help and maintainers willing to help in exchange for money is hard."

Yet the notion that companies will ante up if just asked nicely using corporate vernacular, rather than gig economy tooling, doesn't sit well with everyone. For one thing, there is little enthusiasm, among individual users as well as Big Tech, for paying for open-source software at the heart of larger products, projects, and services.

"I've had this kind of conversation with people before and I've gotten a surprising amount of resistance to the prospect of actually making sure that the random smattering of volunteers that LITERALLY MAKE THEIR COMPANY RUN are able to make rent," said developer Christine Dodrill in a blog post. "There is this culture of taking from open source without giving anything back. It is like the problems of the people who make the dependencies are irrelevant."

Others participating in the discussion contend funding isn't the issue. David Crawshaw, CTO of Tailscale, in a blog post said while Yazici's post about lack of support for Log4j has been receiving attention "because highly profitable companies are using infrastructure they do not pay for," funding "would not clearly have contributed to preventing this bug."

Curl creator and WolfSSL developer Daniel Stenberg seemed to be in alignment with that, reminding us of the goto fail bug in Apple's encryption code: "The Log4j case is not a showcase for bad open-source software funding. It is a showcase for naive and cheap users not doing their due diligence, code review, and testing before using components. Remember goto fail? Silly bugs are shipped even with the greatest funding."

Developer Gabriella Gonzalez elaborated on that point, arguing that the Log4j vulnerability underscores the problem of catering to big business because the bug arose from a feature maintained to appease companies concerned about backward compatibility LDAP/JNDI URLs.

"The maintainers of the log4j project knew that one of the lesser-known features was potentially problematic (although perhaps they underestimated the impact)," Gonzalez wrote in a blog post. "However, [they] did not remove the feature out of concern for breaking backwards compatibility."

Gonzalez argues that Log4j is a symptom of a larger problem: that public companies are exploitative and abusive toward open-source projects.

But the self-interested behavior of large companies extends beyond software. Whenever money or power are at issue, companies try to shape the rules to their advantage.

Uber and Lyft managed to get Californians to vote for an exemption to a law (found by a judge to be unconstitutional) that would have required drivers to be classified as employees, so they could avoid paying for benefits and reduce costs. Amazon and Google, among many other mega-corporations, fight unions for fear they will negotiate better pay and benefits for workers, thereby increasing costs. Companies like Oracle and IBM have been accused of capping or withholding sales commissions owed to their own salespeople. Employment contracts routinely impose onerous terms that benefit employers and disadvantage workers.

Businesses are simply not in the business of fair dealing. Those prioritizing their own concerns are simply doing what the law or the software license allows. The problem is not payment; it is permission many popular open-source licenses are extremely permissive while lacking the reciprocity requirements of copyleft licenses. Licenses like the Apache license and the MIT license offer a lot and ask very little.

"Open source maintainers create massive amounts of value and capture almost none of it," said Feross Aboukhadijeh, an open-source developer who runs Socket, in an email to The Register. "Many of the most important open source projects that power the Fortune 500 are maintained by volunteers in their spare time, after work hours.

The software industry needs to find a way to help maintainers start capturing at least a portion of the value they create so they can continue to write new features, fix bugs, improve documentation, and most importantly, fix critical security issues in a timely manner

"The software industry needs to find a way to help maintainers start capturing at least a portion of the value they create so they can continue to write new features, fix bugs, improve documentation, and most importantly, fix critical security issues in a timely manner.

"I expect to see more maintainers explore alternative licensing options, restricting the ways and types of organizations that can use their software or decide to let their projects stagnate which will only increase the number of security incidents that we'll continue to face."

Aboukhadijeh added that the Log4j incident also illustrates how almost no company using open-source code in their applications bothers to review it.

"At the end of the day, companies are responsible for ensuring the code they ship to production is safe, secure, and reliable," he said.

Sooner or later someone's going to pay for open-source software, if not in goodwill then in damage control.

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Log4j doesn't just blow a hole in your servers, it's reopening that can of worms: Is Big Biz exploiting open source? - The Register

Programmer's glasses show code lines

As the year draws to a close, it is a good time to consider where different technologies are going and what we can expect not just next year but in the years that follow. As part of my recent adventures in EdTech, I have had a chance to consider where the world of coding is going, how the industry sees coding, how it compares to how the education world sees coding, and how both are likely to change in the coming years. With that in mind, here are 7 trends I see in the world of coding, that much of the industry and the educational world will likely want to consider and adapt to.

What is Coding anyway?

Most of us know generally what coding means. However, since the nature of coding itself is changing, it may be good to revisit this briefly. Coding has classically been defined as the process of creating computer programs (or programming). It is also the process of specifying a solution to a problem in a language that computers can understand (which by definition needs to be precise).

Trend 1: Coding for everyone

Coding is no longer just for computer scientists or those looking for jobs in the IT industry. In 2020, India made coding mandatory for all students of 6th grade and above. In the US, discussions have been ongoing for several years about whether coding should be considered equivalent to a foreign language requirement (with strong support and opposition). Such legislation made it to a state government proposal earlier in 2021, indicating that the idea is not going away and may even be gaining some momentum.

Trend 2: NoCode, LowCode and CodeGen

Oddly enough, while the world is setting up for everyone to learn coding, the industry is seeing growth in NoCode, Low-Code and CodeGen. What are these things? They are a recognition that not all coding tasks are equally important uses of an individuals time. These tools enable automation of the low level tasks of coding, freeing up the user to focus on higher level tasks such as code design, user experience and algorithm choices. Some of these solve problems (like analyze data), some generate apps, and others generate code that the user can run themselves - such as auto-generated AI code in a Google colaboratory notebook.

Is this in conflict with Trend 1? I don't think so. If you see coding as mastery of a computer language - yes this can be conflicting. However, coding, in my opinion, should not be seen that way. Coding is about specifying a solution to a problem and describing that solution and its constraints and outcomes in a logical and specific way. Put this way - automating the lower levels of coding is a natural part of making coding accessible to all.

Trend 3: AI that Codes

While Trend2 is more about straightforward automation in a constrained environment, the natural extension of this is AI that can take even higher level instructions and generate code, drawing from many sources. We are seeing this already in OpenAIs Codex. Over time, the distinction may become less relevant. As the algorithms inside LowCode/NoCode/CodeGen tools become more sophisticated, the distinctions between these two trends will disappear.

Trend 4: Open Source

This is not a new trend by any means, but I decided to include it here since its impact on the world of coding cannot be overstated. The last few years have seen the growth of not just open source but the growth of open source monetization models. However, what does any of this have to do with coding? While in the early days we would think of open source examples that are large powerful software bases like Linux, or MySQL, these days - open code is everywhere and in every possible size. Say that I wanted to learn sorting algorithms? A quick Google search will turn up countless examples, each with their own pros and cons (and bugs!). Open source has gone beyond individual apps to a sea of code with growth that shows no signs of stopping - it is in itself a form of content.

Trend 5: APIs

Developers now have another powerful resource in addition to code snippets all over the internet - and that is APIs. The Software as a Service (SaaS) boom now means that many powerful services (from databases to AIs that can detect objects and read OCR) can now be accessed with a few lines of code. This makes it not just simpler to build powerful solutions, but also makes it easier to create elastic and scalable solutions. Want to build an app that scales to thousands of users? You still need to think about how parts of the solution will accommodate that scale, but common services like databases can now accommodate that scale for you automatically, removing the need for you to become a database expert.

Trend 6: Apps and Websites

Where Trends 1-5 provide people with the foundation for coding, Trend 6 provides a destination. The worldwide app ecosystem has grown rapidly in recent years, for example with Apple demonstrating robust growth of the AppStore even during the pandemic. Where democratization of coding makes it easier for people to learn how to code, apps and websites provide a way to package up their creations for use by others. The synergy between coding and apps is further driven by governments, such as the US with the Congressional App Challenge, which encourages high school students to create unique and impactful apps. These trends are not independent either - app development is also benefiting from NoCode/LowCode/CodeGen tools as well as declarative programming approaches that make coding easier - like SwiftUI from Apple.

Trend 7: Creativity and Community

The world has known for quite a while that coding fosters logical thinking and provides a way to express creativity in the form of problem solving and solution creation. Trend 6 further reinforces this, but we can expect more outlets for creative expression with code. Musicians are already using AI programs to augment their own creativity. Is this a form of coding expression? I think so. Environments like Roblox allow users to create code for the platform, thereby injecting their own creativity into the virtual. The emerging metaverse promises more of this, with examples like Nvidias Omniverse.

Takeaways

So, what do these trends suggest? While some may seem contradictory, they are not really. What they imply are two fundamental things in 2022 and beyond.

Happy Coding!

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Where Is Coding Headed? 7 Trends For 2022 And Beyond - Forbes