Ford dives into esports with Fordzilla racing team

first_img More From Roadshow 2019 GMC Sierra Denali review: So close to greatness Car Culture Car Games and Apps Honda RidgelineAgain keeping the status quo, the Honda Ridgeline maintains third place on the American Made Index. This crossover-that-looks-like-a-truck provides a better ride than a traditional pickup and gets an awesome lockable trunk right in the floor of the bed. And it doesn’t do the truck stuff too badly, either, as it’s able to carry 1,860 pounds of payload and tow 3,500 pounds.The Ridgeline is powered by a 3.5-liter V6 good for 280 horsepower and 262 pound-feet of torque. That is channeled through a six-speed automatic transmission with available all-wheel drive. It’s built in Lincoln, Alabama. Now playing: Watch this: 68 Photos 2019 Jeep Cherokee can handle the rough stuff Chevrolet ColoradoMaking its debut in the top 10 is the Chevrolet Colorado. Shown here in the tough ZR2 Bison off-road spec, the Chevy Colorado is an excellent truck and one of the two midsize pickups you can get with a diesel engine. Adding to the ZR2’s two-inch lift and front and rear locking differentials, the Bison gets beefier skid plates (trust me, that’s a good thing), steel bumpers and integrated recovery points. Heck, you can even get a snorkel.Base models get a 2.5-liter four-cylinder engine with a six-speed manual transmission, but a more popular choice is the 3.6-liter V6 gas engine with 308 horsepower and 275 pound-feet of torque, mated to an eight-speed automatic transmission. Meanwhile, the 2.8-liter diesel pumps out 186 horsepower and a delicious 369 pound-feet of twist and is mated to a six-speed automatic. The Chevy Colorado is built in Wentzville, Missouri. Honda OdysseyThe feature-rich Honda Odyssey minivan also retains its number-two slot from last year’s list. While the 2019 model doesn’t see any changes from last, it’s still a darn good choice for families on the go with reconfigurable seats, Wi-Fi and an excellent rear-seat entertainment system. The Cabin Watch video system lets parents keep an eye on their little darlings without turning around in their seats, while Cabin Talk amplifies their voice so no yelling is required.The Odyssey is powered by a 3.5-liter V6 rated for 280 horsepower and 262 pound-feet of torque. Most trims get a nine-speed automatic but the top Touring and Elite trims now use a 10-speed automatic with stop-start technology. The Honda Odyssey is made in Lincoln, Alabama. 2019 Acura MDX adds new features and an A-Spec model Share your voice The Ford GT MkII shows what a race car can be when you… Chevrolet CorvetteMoving up from the 10th-place slot last year is the 2019 Chevrolet Corvette. While we’ve all been ogling the new mid-engine Corvette, it’s easy to forget what a performance bargain the current-generation ‘Vette is. From the base trim to the Grand Sport to the bonkers ZR1, the Corvette is an American icon.My preference is for the Grand Sport, which strikes a perfect balance between everyday drivability and canyon-carving performance. The 6.2-liter V8 puts out 460 horsepower and 465 pound-feet of torque. You can get it with a seven-speed manual or eight-speed automatic transmission, but the kicker is the borrowed chassis and aero parts from the beefier Z06. Like I said, perfect balance. The Corvette is made in Bowling Green, Kentucky. Tags Gamescom Ford 2020 Porsche 718 Cayman GT4 first drive: A standout track star Esports Ford,Enlarge ImageIt’s all in a day’s work for the Jeep Cherokee, the most American-made car in 2019. Jeep With high trade tensions looming and increasing talk of tariffs, more and more consumers are looking to buy American. Cars.com has released its annual American Made Index, showcasing companies that use the most American-sourced parts and labor in their vehicles. The results may surprise you.Cars.com analyzed more than 100 US-built vehicles for five key data points: manufacturing location, parts sourcing, US employment, engine sourcing and transmission sourcing. You might think something like the Ford F-150 would top the list, but it drops from its No. 5 spot for 2018 and out of the top 10 completely. Even the first-place holder, the Jeep Cherokee, is a pretty global product. It’s a Jeep, sure, but that brand is part of Fiat Chrysler Automobiles, an Italian-owned business.Cars.com surveyed 1,000 people and found that half are concerned about automotive import tariffs, with 41% saying they are unsure if tariffs would make them more likely to buy American. Either way, we’re big fans of all the vehicles on this list. These days, buying American doesn’t necessarily mean sticking with a US-based automaker. Tags 2019 GMC Canyon: A fancier Colorado General Motors Chevrolet Honda Jeep Acura 71 Photos 12 Photos 2020 BMW M340i review: A dash of M makes everything better 2019 Honda Pilot Elite: A smoother, tech-rich crossover SUV 81 Photos 2019 Chevy Colorado ZR2 Bison: An off-road animal 52 Photos 26 Photos 2020 Hyundai Palisade review: Posh enough to make Genesis jealous 63 Photos 69 Photos 18 Photos 2019 Honda Ridgeline review: Light duty, heavy punch 2019 Chevrolet Colorado ZR2 Bison: A tougher off-roader 2019 Honda Ridgeline: The commuter’s pickup truck GMC CanyonIf you’re looking for a slightly fancier version of the Colorado that’s more focused on luxe than dirt, check out the GMC Canyon. The top Denali trim gets standard heated and ventilated front seats as well as a heated steering wheel. Maximum payload capability is 1,665 pounds while max towing is a fairly healthy 7,600 pounds.The Canyon is available with the same 2.5-liter four-cylinder engine, 3.6-liter V6 or 2.8-liter diesel as the Chevrolet Colorado. It’s also built in Wentzville, Missouri. Car Industry Comment 10 Photos 4:41 49 Photos Team Fordzilla is looking for star video game drivers in Europe. Ford The annual Gamescom video game conference in Germany isn’t just about gaming. Ford Europe took the opportunity to announce it wants to be more involved in the virtual world, launching its Fordzilla esports racing team at the conference. The team will focus on “highest level” of racing on the virtual stage and recruitment began this week at Gamescom. The automaker plans to recruit national teams for France, Germany, the UK and Spain. From there, Ford will create a European team with a star player from each country.While Fordzilla will likely tackle multiple racing games in the future, the team will begin with a presence in “Forza Motorsport 7,” the latest driving simulator game for the Xbox One console. Ford has a good relationship with Turn 10, the studio behind the Forza Motorsport franchise. It worked with Turn 10 to make the second-generation Ford GT the “Forza Motorsport 6” cover car back in 2015.Like other companies that are increasingly turning to the virtual sport, Ford eyes a piece of the growing revenue stream esports brings in. According to data Ford cited, esports is expected to generate over $1 billion in revenue this year — a 26.7% jump over 2018. The automaker also said the synergies between gaming and future mobility solutions intrigues the company.Ford isn’t alone in esports involvement. Earlier this month, Honda expanded its involvement to become the official partner of the Riot Games League of Legends Championship Series. The Japanese automaker also serves as the official partner of Team Liquid in the series. Acura MDXMoving up one slot to sixth place on the American Made Index is the non-hybrid variant of the Acura MDX. With its SH-AWD system, the MDX is one of the better handling midsize luxury crossovers, and for 2019 the company gives us the A-Spec treatment with a new front fascia and side skirts, 20-inch wheels, wider exhaust tips, unique gauges, a new steering wheel, carbon fiber trim and various Alcantara interior touches.However, both the standard and A-Spec models get a 3.5-liter V6 engine, rated for 290 horsepower and 267 pound-feet of torque going through a nine-speed automatic transmission. The Acura MDX is made in East Liberty, Ohio.  2019 Acura RDX A-Spec: Sharp handling, sharper looks 3 Comments More From Roadshow Acura RDXThe third-generation Acura RDX squeaks into the top ten list with larger proportions, plenty of interior space and better handling than its predecessor. Forward collision warning with collision mitigation braking, adaptive cruise control that works even in low-speed traffic, lane-keeping steering assist and road departure mitigation are all standard across the board. Like its MDX counterpart, the RDX is available with the A-Spec styling package.The RDX sports a 2.0-liter, turbocharged, four-cylinder engine. Output is stated at 273 horsepower and 280 pound-feet of torque, and it’s mated to a 10-speed automatic transmission. The new RDX is built in East Liberty, Ohio. 2019 Honda Passport: A well-rounded midsize offering Jeep CherokeeKeeping its top-of-the-list placement, the Jeep Cherokee is 2019’s most American-made car. Refreshed for 2019, the compact crossover now features more tech, better cargo space and a slightly tweaked look. It’s available in no fewer the nine trims, including the off-road specific Trailhawk and a fancy-pants Trailhawk Elite.For 2019, the Cherokee gets a new 2.0-liter, turbocharged, four-cylinder engine with 270 horsepower and 295 pound-feet of torque, though naturally aspirated I4 and V6 choices are also available. Regardless of engine, a nine-speed automatic transmission gets the power to the pavement — or dirt as the case may be. The Cherokee is made in Belvidere, Illinois. 2019 Ford Mustang Shelby GT350: A friendlier track animal Share your voice Honda PassportThe Honda Passport is a new (well, reborn) entry to both the Honda lineup and the American Made Index. This midsize crossover comes to the fray with great driving dynamics and plenty of tech like the standard Honda Sensing suite of active safety features. An available 8-inch touchscreen gets Apple CarPlay and Android Auto as well as a Wi-Fi hotspot.Under the hood is the stalwart 3.5-liter V6 producing 280 horsepower and 262 pound-feet of torque. However unlike the Ridgeline, the Passport sends that power through a nine-speed automatic transmission. Having said that, just like the Ridgeline, this is the only powertrain available. The Honda Passport is built in Lincoln, Alabama. 2019 Honda Odyssey offers plenty of room and features for families 1 2019 Chevrolet Corvette Grand Sport loves to hustle Honda PilotDropping down to seventh place for 2019 is the Honda Pilot. Like its two-row Passport sibling, the three-row Pilot offers parent-focused technology like Cabin Talk as well as myriad standard driver-assistance features through the Honda Sensing tech suite. Honda’s largest crossover offers up nearly 84 cubic feet of cargo space. Honda’s 3.5-liter V6 engine shows up again, making a serviceable 280 horsepower and 262 pound-feet of torque. Touring and Elite trims get a nine-speed automatic transmission while lower trims have to make do with a six-speed auto. The Honda Pilot is made in Lincoln, Alabama.last_img read more

Hillary says Comey letter Russian hackers cost her US presidency

first_imgHillary ClintonHillary Clinton said on Tuesday she was on the path to victory in the 2016 presidential election until late interference by Russian hackers and FBI Director James Comey scared off some potential supporters.In her most extensive public comments on the 8 November election, Clinton told a New York conference she was derailed by Comey’s 28 October letter informing Congress the Federal Bureau of Investigation had reopened a probe of her use of a private email server and by the WikiLeaks release of campaign chairman John Podesta’s emails, allegedly stolen by Russian hackers.“If the election had been on 27 October, I would be your president,” she told a women’s conference moderated by CNN’s Christiane Amanpour.“It wasn’t a perfect campaign, but I was on the way to winning until a combination of Comey’s letter and Russian WikiLeaks,” the Democrat said of the loss to Republican Donald Trump. “The reason why I believe we lost were the intervening events in the last 10 days.”Clinton, who said she is going through the “painful process” of writing a book dealing in part with the election, also said misogyny played a role in her defeat. Becoming the first woman US president would have been “a really big deal,” she said.Clinton took personal responsibility for the campaign’s mistakes, but did not question her strategy or her staff. “I was the candidate, I was the person who was on the ballot. I am very aware of the challenges, the problems, the shortfalls that we had,” Clinton said.She said she had no doubt that Russian President Vladimir Putin tried to influence the election for Trump, and bluntly criticised the new US president for some of his foreign policy views and for tweeting too much.“I’m back to being an activist citizen – and part of the resistance,” she said.Clinton said broader negotiations involving China and other countries in the region were critical for convincing North Korea to rein in its nuclear programme. She questioned Trump’s recent suggestion he would be willing to meet with North Korean leader Kim Jong Un under the right circumstances.“You should not offer that in the absence of a broader strategic framework to try to get China, Japan, Russia, South Korea, to put the kind of pressure on the regime that will finally bring them to the negotiating table,” Clinton said.She also said she supported the recent missile strikes ordered by Trump in Syria but was unsure if they would make a difference. “There is a lot that we don’t really yet fully know about what was part of that strike,” she said.last_img read more

Schools to open on June 10 as govt clips summer vacation

first_imgKolkata: The state Education department on Thursday shortened the duration of summer holidays in state schools and announced that classes in both primary and secondary schools will commence from June 10.A notification in this regard was brought out by the department after state Education minister Partha Chatterjee posted on his Facebook page earlier in the day that schools will open from June 10. The earlier notification of the department had declared summer holidays till June 30. It may be mentioned that Chatterjee had held a meeting with the West Bengal Board of Secondary Education and other concerned officials on Tuesday and had said that the decision to have summer holidays in schools till June 30 was being reviewed. He had said that he would also speak with the weather office and Chief Minister Mamata Banerjee, before bringing out any fresh notification in this regard. There have been requests from students, a section of teachers as well as guardians to reconsider the decision of closure of schools till June 30. It was May 3 when the Education department had issued a notification declaring that all government, government-sponsored and non-government aided schools in the state will remain closed on May 3 and May 4 due to the predicted severe cyclonic storm Fani. It had further stated that all these schools will also remain closed from May 6 to May 20 until commencement of summer vacation, due to the prevailing heat wave. It had added that schools will remain closed till June 30 due to anticipated extreme weather conditions.last_img read more

Why TensorFlow always tops machine learning and artificial intelligence tool surveys

first_imgTensorFlow is an open source machine learning framework for carrying out high-performance numerical computations. It provides excellent architecture support which allows easy deployment of computations across a variety of platforms ranging from desktops to clusters of servers, mobiles, and edge devices. Have you ever thought, why TensorFlow has become so popular in such a short span of time? What made TensorFlow so special, that we seeing a huge surge of developers and researchers opting for the TensorFlow framework? Interestingly, when it comes to artificial intelligence frameworks showdown, you will find TensorFlow emerging as a clear winner most of the time. The major credit goes to the soaring popularity and contributions across various forums such as GitHub, Stack Overflow, and Quora. The fact is, TensorFlow is being used in over 6000 open source repositories showing their roots in many real-world research and applications. How TensorFlow came to be The library was developed by a group of researchers and engineers from the Google Brain team within Google AI organization. They wanted a library that provides strong support for machine learning and deep learning and advanced numerical computations across different scientific domains. Since the time Google open sourced its machine learning framework in 2015, TensorFlow has grown in popularity with more than 1500 projects mentions on GitHub. The constant updates made to the TensorFlow ecosystem is the real cherry on the cake. This has ensured all the new challenges developers and researchers face are addressed, thus easing the complex computations and providing newer features, promises, and performance improvements with the support of high-level APIs. By open sourcing the library, the Google research team have received all the benefits from a huge set of contributors outside their existing core team. Their idea was to make TensorFlow popular by open sourcing it, thus making sure all new research ideas are implemented in TensorFlow first allowing Google to productize those ideas. Read Also: 6 reasons why Google open sourced TensorFlow What makes TensorFlow different from the rest? With more and more research and real-life use cases going mainstream, we can see a big trend among programmers, and developers flocking towards the tool called TensorFlow. The popularity for TensorFlow is quite evident, with big names adopting TensorFlow for carrying out artificial intelligence tasks. Many popular companies such as NVIDIA, Twitter, Snapchat, Uber and more are using TensorFlow for all their major operations and research areas. On one hand, someone can make a case that TensorFlow’s popularity is based on its origins/legacy. TensorFlow being developed under the house of “Google” enjoys the reputation of the household name. There’s no doubt, TensorFlow has been better marketed than some of its competitors. Source: The Data Incubator However that’s not the full story. There are many other compelling reasons why small scale to large scale companies prefer using TensorFlow over other machine learning tools TensorFlow key functionalities TensorFlow provides an accessible and readable syntax which is essential for making these programming resources easier to use. The complex syntax is the last thing developers need to know given machine learning’s advanced nature. TensorFlow provides excellent functionalities and services when compared to other popular deep learning frameworks. These high-level operations are essential for carrying out complex parallel computations and for building advanced neural network models. TensorFlow is a low-level library which provides more flexibility. Thus you can define your own functionalities or services for your models. This is a very important parameter for researchers because it allows them to change the model based on changing user requirements. TensorFlow provides more network control. Thus allowing developers and researchers to understand how operations are implemented across the network. They can always keep track of new changes done over time. Distributed training The trend of distributed deep learning began in 2017, when Facebook released a paper showing a set of methods to reduce the training time of a convolutional neural network model. The test was done on RESNET-50 model on ImageNet dataset which took one hour to train instead of two weeks. 256 GPUs spread over 32 servers were used. This revolutionary test has open the gates for many research work which have massively reduced the experimentation time by running many tasks in parallel on multiple GPUs. Google’s distributed TensorFlow has allowed all the researchers and developers to scale out complex distributed training using in-built methods and operations that optimizes distributed deep learning among servers. . Google’s distributed TensorFlow engine which is part of the regular TensorFlow repo, works exceptionally well with the existing TensorFlow’s operations and functionalities. It has allowed exploring two of the most important distributed methods: Distribute the training time of a neural network model over many servers to reduce the training time. Searching for good hyperparameters by running parallel experiments over multiple servers. Google has given distributed TensorFlow engine the required power to steal the share of the market acquired by other distributed projects such as Microsoft’s CNTK, AMPLab’s SparkNet, and CaffeOnSpark. Even though the competition is tough, Google has still managed to become more popular when compared to the other alternatives in the market. From research to production Google has, in some ways, democratized deep learning., The key reason is TensorFlow’s high-level APIs making deep learning accessible to everyone. TensorFlow provides pre-built functions and advanced operations to ease the task of building different neural network models. It provides the required infrastructure and hardware which makes them one of the leading libraries used extensively by researchers and students in the deep learning domain. In addition to research tools, TensorFlow extends the services by bringing the model in production using TensorFlow Serving. It is specifically designed for production environments, which provides a flexible, high-performance serving system for machine learning models. It provides all the functionalities and operations which makes it easy to deploy new algorithms and experiments as per changing requirements and preferences. It provides an excellent feature of out-of-the-box integration with TensorFlow models which can be easily extended to serve other types of models and data. TensorFlow’s API is a complete package which is easier to use and read, plus provides helpful operators, debugging and monitoring tools, and deployment features. This has led to growing use of TensorFlow library as a complete package within the ecosystem by the emerging body of students, researchers, developers, production engineers from various fields who are gravitating towards artificial intelligence. There is a TensorFlow for web, mobile, edge, embedded and more TensorFlow provides a range of services and modules within their existing ecosystem making them as one of the ground-breaking end-to-end tools to provide state-of-the-art deep learning. TensorFlow.js for machine learning on the web JavaScript library for training and deploying machine learning models in the browser. This library provides flexible and intuitive APIs to build and train new and pre-existing models from scratch right in the browser or under Node.js. TensorFlow Lite for mobile and embedded ML It is a TensorFlow lightweight solution used for mobile and embedded devices. It is fast since it enables on-device machine learning inference with low latency. It supports hardware acceleration with the Android Neural Networks API. The future releases of TensorFlow Lite will bring more built-in operators, performance improvements, and will support more models to simplify the developer’s experience of bringing machine learning services within mobile devices. TensorFlow Hub for reusable machine learning A library which is used extensively to reuse machine learning models. Thus you can transfer learning by reusing parts of machine learning models. TensorBoard for visual debugging While training a complex neural network model, the computations you use in TensorFlow can be very confusing. TensorBoard makes it very easy to understand and debug your TensorFlow programs in the form of visualizations. It allows you to easily inspect and understand your TensorFlow runs and graphs. Sonnet Sonnet is a DeepMind library which is built on top of TensorFlow extensively used to build complex neural network models. All of this factors have made the TensorFlow library immensely appealing for building a wide spectrum of machine learning and deep learning projects. This tool has become a preferred choice for everyone from space research giant NASA and other confidential government agencies, to an impressive roster of private sector giants. Road Ahead for TensorFlow TensorFlow no doubt is better marketed compared to the other deep learning frameworks. The community appears to be moving very fast. In any given hour, there are approximately 10 people around the world contributing or improving the TensorFlow project on GitHub. TensorFlow dominates the field with the largest active community. It will be interesting to see what new advances TensorFlow and other utilities make possible for the future of our digital world. Continuing the recent trend of rapid updates, the TensorFlow team is making sure they address all the current and active challenges faced by the contributors and the developers while building machine learning and deep learning models. TensorFlow 2.0 will be a major update, we can expect the release candidate by next year early March. The preview version of this major milestone is expected to hit later this year. The major focus will be on ease of use, additional support for more platforms and languages, and eager execution will be the central feature of TensorFlow 2.0. This breakthrough version will add more functionalities and operations to handle current research areas such as reinforcement learning, GANs, building advanced neural network models more efficiently. Google will continue to invest and upgrade their existing TensorFlow ecosystem. According to Google’s CEO, Sundar Pichai “artificial intelligence is more important than electricity or fire.” TensorFlow is the solution they have come up with to bring artificial intelligence into reality and provide a stepping stone to revolutionize humankind. Read more The 5 biggest announcements from TensorFlow Developer Summit 2018 The Deep Learning Framework Showdown: TensorFlow vs CNTK Tensor Processing Unit (TPU) 3.0: Google’s answer to cloud-ready Artificial Intelligencelast_img read more

Stack Overflow survey data further confirms Pythons popularity as it moves above

first_imgThis year’s Stack Overflow Developer Survey results provided a useful insight into how the programming language ecosystem is evolving. Perhaps the most remarkable – if unsurprising – insight was the continued and irresistible rise of Python. This year, for the first time, it finished higher in the rankings than Java. We probably don’t need another sign that Python is taking over the world, but this is certainly another one to add to the collection. What we already know about Python’s popularity as a programming language Okay, so the Stack overflow survey results weren’t that surprising because Python’s growth is well-documented. The language has been shooting up the TIOBE rankings, coming third for the first time back in September 2018. The most recent ranking has seen it slip to fourth ( C++ is making a resurgence – but that’s a story for another time…), but it isn’t in decline – it’s still growing. In fact, despite moving back into fourth, it’s still growing at the fastest rate of any programming language, with 2.36% growth in its rating. For comparison, C++’s rate of growth in the rankings is 1.62%. But it’s not just about TIOBE rankings. Even back in September 2017 the Stack Overflow team were well aware of Python’s particularly astonishing growth in high-income countries. Read next: 8 programming languages to learn in 2019 Python’s growth in the Stack Overflow survey since 2013 It has been pretty easy to trace the growth in the use of Python through the results of every recent Stack Overflow survey. From 2016, it has consistently been on the up: 2013: 21.9% (6th position in the rankings) 2014: 23.4% (again, 6th position in the rankings) 2015: 23.8% (6th) 2016: 24.9% (6th) 2017: 32% (moving up to 5th…) 2018: 38.8% (down to 7th but with a big percentage increase) 2019: 41.7% (4th position) But more interestingly, it would seem that this growth in usage has been driving demand for it. Let’s take a look at how things have changed in the ‘most wanted’ programming language since 2015 – this is the “percentage of developers who are not developing with the language or technology but have expressed interest in developing with it:” 2015: 14.8% (3rd) 2016: 13.3% (4th) 2017: 20.6% (1st) 2018: 25.1% (1st) 2019: 25.7% (1st) Alongside that, it’s also worth considering just how well-loved Python is. A big part of this is probably the fact that Python is so effective for the people using it, and helps them solve the problems they want to solve. Those percentages are growing, even though it didn’t take top position this year (this is described by Stack Overflow as the “percentage of developers who are developing with the language or technology and have expressed interest in continuing to develop with it”): 2015: 66.6% (10th position) 2016: 62.5% (9th) 2017: 62.7% (6th) 2018: 68% (3rd) 2019: 73.1% (2nd, this time pipped by Rust to the top spot) What’s clear here is that Python has a really strong foothold both in the developer mind share (ie. developers believe it’s something worth learning) and in terms of literal language use. Obviously, it’s highly likely that both things are related – but whatever the reality, it’s good to see that process happening in data from the last half a decade. Read next: 5 blog posts that could make you a better Python programmer What’s driving the popularity of Python? The obvious question, then, is why Python is growing so quickly. There are plenty of theories out there, and there are certainly plenty of blog posts on the topic. But ultimately, Python’s popularity boils down to a few key things. Python is a flexible language One of the key reasons for Python’s growth is its flexibility. It isn’t confined to a specific domain. This would go some way of explaining its growth – because it’s not limited to a specific job role or task, a huge range of developers are finding uses for it. This has a knock on effect – because the community of users continues to grow, there is much more impetus on developing tools that can support and facilitate the use of Python in diverse domains. Indeed, with the exception of JavaScript, Python is a language that many  developers experience through its huge range of related tools and libraries. The growth of data science and machine learning While Python isn’t limited to a specific domain, the immense rise in interest in machine learning and data analytics has been integral to Python’s popularity. With so much data available to organizations and their employees, Python is a language that allows them to actually leverage it. Read next: Why is Python so good for AI and Machine Learning? 5 Python Experts Explain Python’s easy to learn The final key driver of Python’s growth is the fact that it is relatively easy to learn. It’s actually a pretty good place to begin if you’re new to programming. Going back to the first point, it’s precisely because it’s flexible that people that might not typically write code or see themselves as developers could see Python as a neat solution to a problem they’re trying to solve. Because it’s not a particularly steep learning curve, it introduces these people to the foundational elements of programming. Something which can only be a good thing, right? The future of Python It’s easy to get excited about Python’s growth, but what’s particularly intriguing about it is what it can indicate about the wider software landscape. That’s perhaps a whole new question, but from a burgeoning army of non-developer professionals powered by Python to every engineer wanting to unlock automation, it would appear that the growth of Python both a response and a symptom of significant changes.last_img read more