Python - The Simplest Programming Language

 

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It's high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. When the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.

Why is Python used?

Python is one of the simplest programming languages and we mean that in a good way. it’s especially great for using on back end web development projects, shortening the amount of time you spend on projects by allowing you to repurpose chunks of code. Python is also used for scientific research and computing and even has several science-friendly or science-specific libraries including:

• Astropy for astronomy
• Biopython for biology and bioinformatics
• Graph-tool for statistical analysis of graphs
• Psychology for neuroscience and experimental psychology

Using Python for machine learning is cool, so it felt like it warranted an additional line item. Machine learning includes things like speech recognition, financial services, even the recommendations Netflix serves up every time you log in. Python is used for machine learning via specific machine-learning libraries and frameworks including scikit-learn. This seems like an odd item to include on the list, but it’s true: Startups, and especially tech startups, love Python because it’s easy to use and scalable.

Advantages of Python

1. Readable and Maintainable Code:

 

While writing a software application, you must focus on the quality of its source code to simplify maintenance and updates. The syntax rules of Python allow you to express concepts without writing additional code. At the same time, Python, unlike other programming languages, emphasizes on code readability, and allows you to use English keywords instead of punctuations.

 

2. Multiple Programming Paradigms:

 

Like other modern programming languages, Python also supports several programming paradigms. It supports object-oriented and structured programming fully. Also, its language features to support various concepts in functional and aspect-oriented programming. At the same time, Python also features a dynamic type system and automatic memory management.

 

3. Compatible with Major Platforms and Systems:

 

At present, Python is supporting many operating systems. You can even use Python interpreters to run the code on specific platforms and tools. Also, Python is an interpreted programming language. It allows you to run the same code on multiple platforms without recompilation. Hence, you are not required to recompile the code after making any alteration.

 

4 Robust Standard Library:

 

Its large and robust standard library makes Python score over other programming languages. The standard library allows you to choose from a wide range of modules according to your precise needs. Each module further enables you to add functionality to the Python application without writing additional code.

 

5. Many Open Source Frameworks and Tools:

 

As an open-source programming language, Python helps you to curtail software development cost significantly. You can even use several open-source Python frameworks, libraries, and development tools to curtail development time without increasing development costs. You even have the option to choose from a wide range of open-source Python frameworks and development tools according to your precise needs.

 

6. Simplify Complex Software Development:

 

Python is a general-purpose programming language. Hence, you can use the programming language for developing both desktop and web applications. Also, you can use Python for developing complex scientific and numeric applications. Python is designed with features to facilitate data analysis and visualization. You can take advantage of the data analysis features of Python to create custom big data solutions without putting in extra time and effort. At the same time, the data visualization libraries and APIs provided by Python help you to visualize and present data in a more appealing and effective way.

 

7. Adopt Test Driven Development:

 

You can use Python to create a prototype of the software application rapidly. Also, you can build the software application directly from the prototype simply by refactoring the Python code. Python even makes it easier for you to perform coding and testing simultaneously by adopting test-driven development (TDD) approach. You can easily write the required tests before writing code and use the tests to assess the application code continuously. The tests can also be used for checking if the application meets predefined requirements based on its source code.

 

Common Industries Using Python:

 

Insurance: Creating business insights with machine learning

Retail Banking: Flexible data transformation and manipulation

Aerospace: Meeting software system deadlines

Finance: Data mining to identify cross-sell opportunities

Business Services: API access to financial information

Hardware: Automating network administration

Healthcare: Predicting disease prognosis

Consulting Services: Bespoke web development

InfoTech: IT modernization

Software: Adding extensibility to legacy applications

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3D Print - Future of New Technology Way Forward

 

Think of a light bulb, steam engine or, more latterly, cars and airplanes, not to mention the rise and rise of the world wide web. These technologies have made our lives improved in many ways, opened new paths and potentials, but typically it takes time, sometimes even years, before the truly disruptive nature of the technology becomes seeming. It is widely believed that 3D printing or additive manufacturing (AM) has the vast potential to become one of these technologies. 3D printing has now been covered across many television channels, mainstream newspapers, and online resources. What really is this 3D printing that some have claimed will put an end to outdated manufacturing as we know it, revolutionize design and impose geopolitical, economic, social, demographic, environmental, and security insinuations to our everyday lives?

The most basic, differentiating principle behind 3D printing is that it is an additive manufacturing process. And this is indeed the key because 3D printing is a drastically different manufacturing method based on advanced technology that builds up parts, additively, in layers at the sub-mm scale. This is basically different from any other existing traditional manufacturing techniques. 3D printing is an enabling technology that encourages and drives innovation with unparalleled design freedom while being a tool-less process that diminishes prohibitive costs and lead times. Components can be designed specifically to evade assembly requirements with complex geometry and complex features created at no extra cost. 3D printing is also evolving as an energy-efficient technology that can offer environmental efficiencies in terms of both the manufacturing process itself, utilizing up to 90% of the standard materials, and throughout the products operating life, through lighter and stronger design.

Adoption of 3D printing has touched critical mass as those who have yet to assimilate additive manufacturing somewhere in their supply chain are now part of an ever-shrinking minority. Where 3D printing was only appropriate for prototyping and one-off manufacturing in the early stages, it is now quickly transforming into a production technology.

 

3D printing includes many forms of technologies and materials as 3D printing is being used in almost all industries you could think of. It’s important to see it as a bunch of diverse industries with a myriad of different applications. A few examples:

Consumer products (eyewear, footwear, design, furniture)

• Industrial products (manufacturing tools, prototypes, functional end-use parts)
• Dental product
• Prosthetics
• Architectural scale models & maquettes
• Reconstructing fossils
• Replicating ancient artifacts
• Reconstructing evidence in forensic pathology
• Movie props

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Big Data is the Next BIG Thing...

Systems that process and stock big data have become a common constituent of data management architectures in organizations. Big data is often considered by the 3Vs: the large volume of data in many environments, the wide variety of data types stored in big data systems and the velocity at which the data is generated, collected, and processed. These characteristics were first identified by Doug Laney, then an analyst at Meta Group Inc., in 2001; Gartner further popularized them after it acquired Meta Group in 2005. Several other Vs have been added to different descriptions of big data, including veracity, value and variability. While big data doesn't connect to any specific volume of data, big data deployments often involve terabytes, petabytes and even exabytes of data captured over time.

Importance of Big Data: Companies use the big data collected in their systems to improve operations, provide better customer service, create personalized marketing campaigns based on specific customer likings and, ultimately, increase viability. Businesses that utilize big data hold a possible competitive advantage over those that don't since they're able to make faster and more informed business decisions, provided they use the data effectively. For example, big data can deliver companies with valued insights into their customers that can be used to improve marketing campaigns and techniques in order to increase customer engagement and adaptation rates. Furthermore, utilizing big data allows companies to become progressively customer centric. Historical and real-time data can be used to assess the evolving preferences of consumers, consequently enabling businesses to update and improve their marketing strategies and become more responsive to customer desires and needs.

Big data is also used by medical researchers to identify disease risk factors and by doctors to help diagnose illnesses and conditions in individual patients. In addition, data resulting from electronic health records (EHRs), social media, the web and other sources provides healthcare organizations and government agencies with up-to-the-minute information on infectious disease threats or outbreaks. In the energy industry, big data helps oil and gas companies recognize potential drilling locations and monitor pipeline operations; likewise, utilities use it to track electrical grids. Financial services firms use big data systems for risk management and real-time analysis of market data. Manufacturers and transportation companies rely on big data to manage their supply chains and optimize delivery routes. Other government uses include emergency response, crime prevention and smart city initiatives.

Examples of Big Data: Big data comes from innumerable different sources, such as business operation systems, customer databases, medical records, internet clickstream logs, mobile applications, social networks, scientific research repositories, machine-generated data and real-time data sensors used in internet of things environments. The data may be left in its raw form in big data systems or preprocessed using data mining tools or data preparation software so it's ready for analytics uses. Using customer data as an example, the different branches of analytics that can be done with the information found in sets of big data include the following:

Comparative analysis: This includes the examination of user behavior metrics and the observation of real-time customer engagement in order to compare one company's products, services and brand authority with those of its competition.

Social media listening: This is information about what people are saying on social media about a specific business or product that goes beyond what can be delivered in a poll or survey. This data can be used to help identify target audiences for marketing campaigns by observing the activity surrounding specific topics across various sources.

Marketing analysis: This includes information that can be used to make the promotion of new products, services and initiatives more informed and innovative.

Customer satisfaction and sentiment analysis: All the data gathered can disclose how customers are feeling about a company or brand, if any possible issues may arise, how brand loyalty might be conserved and how customer service efforts might be enhanced.

Breaking down the Vs of big data: Volume is the most cited characteristic of big data. A big data environment doesn't have to comprise a large amount of data, but most do because of the nature of the data being collected and stored in them. Clickstreams, system logs and stream processing systems are among the sources that typically produce enormous volumes of big data on an ongoing basis.

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Virtual Reality is not Virtual Now!

The impression of virtual workspaces is nothing new, but recent developments in hardware and bandwidth have made this possibility almost a certain certainty. According to the developing technology strategist, the future of work will center on a private, virtual workspace that immerses the user in a 3D desktop customized to provide the ideal working environment.

Several of the major HMD producers, like the Windows Mixed Reality platform and Oculus Rift are providing virtual desktop knowledge for their users. There are also numerous apps like Big screen and Virtual Desktop working to make Latta’s vision a reality, but the experience has a long way to go before becoming flawlessly integrated with our daily work lives. Drive time becomes down time.

No more daily commute, instead any type of road-based transportation will be finished within a personalized and autonomous, immersive environment permitting the passenger to work or enjoy immersive entertainment. Building upon his vision for a private, VR workspace, the future of commuting could comprise taking this workspace with you, as today’s “drive to work” becomes “drive and work.” The race toward building fully autonomous vehicles has reached a fever pitch with Google, Uber and almost every major car manufacturer working to capitalize on the new era of “mobility as a service.” There is also a host of start-ups like Seattle-based Might AI and AI Motive working to make available innovative solutions to help usher in this new era of transportation.

No more screen time, AR and merged reality will take away our necessity to look at screens – smartphones, watches, tablets, laptops, will all become a thing of the past. According to Cyril Tuschi, the CEO and founder of You-VR, super-lightweight AR glasses and XR contact lenses will soon develop our standard companion. He has confidence in that worries over the negative effects of screen time will be mitigated as our digital world will become seamlessly integrated with the real world. There will be early education programs to help children navigate this new merged reality along with an AI driven opt-in program to mindfully deliver only relevant experiences to users.

Smarter Planet – global knowledge and collaboration network Immersive technology will permit collaboration between vast distributed teams, across languages, time zones and geographies thereby linking large populations to rich digital information, in the physical world. The implications for this type of knowledge network are robust and could help solve global encounters related to geographically isolated populations and shortages of natural resources. Ultimately a global knowledge network powered by AI could “optimize” the planet to ensure resources are distributed to sustain the global population.

Hyper-real intimate practices become the norm: How we connect intimately and sexually, with others as well as ourselves, will be dramatically different in 20 years. Dr. Holly Richmond, Ph.D. and working sex therapist, believes that “most first dates and first sexual experiences will happen virtually, the term “digisexual” will be ubiquitous, and the idea of sex positivity will finally transcend the technology bias it has previously and currently been up against. Richmond is working to normalize the sex tech industry and her soon to be published book, Next-Sex, delivers research and insights into how technology is bringing us closer together. How we connect intimately and sexually, with others as well as ourselves, will be dramatically different in 20 years. Companies like Kiiroo and WeVibe are working to create extremely realistic immersive intimate experiences. Kiiroo CTO, Maurice Op de Beek, believes we’ll achieve hyper-real, sexual experiences in our lifetime. Other technology companies are developing software and hardware to help expand today’s VR experience beyond the HMD. Tobii, is working on eye-tracking capabilities which according to Richmond, will produce a much more connected and intimate experience. While HardLight VR has developed a haptic bodysuit allowing users to feel what’s happening within a virtual experience. You can read more about technology and the future of sex in my recent post, The technological evolution of love, connection and intimacy.

Teleporting becomes real: Be anywhere, anytime in seconds with numerous digital selves. Founder of VP Capital and technology investor Viktor Prokopenya believes “we will have a complete avatar, several bodies in different parts of the world and the travel time will be zero.” This bold vision draws upon numerous existing day technologies and unifies them into a plausible future. Researchers are already studying the effects of embodying a virtual avatar and social, 3D virtual worlds such as Sansar and High Fidelity allow for instant teleportation to different regions on the grid. Combine this functionality with augmented reality capabilities of overlaying digital content in the real world and it’s not too hard to imagine beaming a virtual self into a real location. Pain and Suffering is a thing of the past VR and immersive technology are composed to put an end to both physical and emotional pain. According to Chimeren Peerbhai, Global Digital Product Management Lead for GlaxoSmithKline, “VR as a distraction therapy during difficult treatments; such as those administered to cancer patients or burn victims has proven to be quite effective. The End of loneliness and isolation Westworld here we come! Along with ending physical pain, Chimeren Peerbhai also believes the future of today’s virtual assistant technology will eventually include “more progressive integration with AI and machine learning to create compellingly realistic virtual humans. Imagine having a virtual assistant that’s like a real person or having a mate to keep you company as you grow older. Or even bolder, being able to accurately recreate a loved one who’s passed on, in a virtual world. Who will be able to respond to you and behave just as they would have in real life!” This exciting and perhaps worrisome vision of the future has been played out in movies like Blade Runner 2049 where arguably one of the most lovable characters was an AI-driven, robot taking the form of a beautiful, young assistant to the hero of the film.

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Digital Thoughts in the Changing Technology 

Thought about what it might be like to recall the best moments of your life, and be able to share them with others? Maybe it’s the dance floor at your wedding. Or the birth of your child or his/her first birthday. Maybe it’s that touchdown that led your team to victory in the last seconds of a game. With today’s mobile virtual reality technology, it’s possible to create virtual remembrances and it has never been easier to get happening.

All today is digitally related whether at home or on the go. Connected technology saves you time with all from smartphones to smart homes! four brands for a look at some great smart tech for that helps simplify your life. We not living on Mars or traveling to work using jet packs, but there's no doubt the coming decade will bring many exciting technological developments. We’re privileged to be living in a time where science and technology can back us, make our lives easier and rethink the ways we go about our daily lives. The technology we’re already exposed and habituated to has paved the way for us to innovate further and this list of current and future technologies certainly have the potential to change our lives even more.

Digital technologies are currently determining and converting whole societies. Increasing access to data and digital technologies empower people. However, the digital divide still exists, and it plays out along different dimensions. By 2030, I foresee an inclusive world where partitions have been reduced - especially the gender divide. For this to work, we need to make sure three things happen.

 

First, solidification digital technologies skills and lifelong learning to include everyone, notably women and low-income individuals. Second, we will need to tackle dangers like cybersecurity risks and the mismanagement of information. Third, we will need to use the digital technologies such as Artificial Intelligence and Machine Learning to help us addressing joint challenges like improving healthcare and curing diseases. Smearing these policies will lead to improved lives for all - notably women and low-income groups.

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