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The most loved and most disliked programming languages revealed in Stack Overflow survey

The annual Stack Overflow survey is one of the most comprehensive snapshots of how programmers work.

Additional TechRepublic resources

​Survey: How to win with prescriptive analytics

Windows XP dies final death as Embedded POSReady 2009 reaches end of life

Brexit: Tech firms express dismay at continued uncertainty after delay

Why it's cheaper than ever to buy stolen identities on the Dark Web to steal tax refunds

Most popular programming languages: C++ knocks Python out of top three

The 10 highest-paying entry-level tech jobs

Why IT pros fear employee error, not hackers, will cause the most breaches

Half of organizations don't test their incident response plans

Half of security pros would rather walk barefoot in a public restroom than use public Wi-Fi

Most senior leaders can't define digital transformation

Python: 5 use cases for programmers

5 ways to improve AI/ML deployments

Why almost half of employed tech pros are looking for a new job

10 questions to consider when developing a disaster recovery plan

8 things that should be on every CIO's to-do list

5 ways for CISOs to show executives real results

​Top 5 ways tech leaders can ruin their reputations

3 ways managers can promote a healthy work-life balance

Linus Torvalds offers the secret to Linux's long-term success (the answer won't surprise you)

Mac Deploy Stick offers admins a fast way to deploy Macs

Is there room for ethics and the law in military AI?

SQL injection attacks: A cheat sheet for business pros

Serverless computing: A cheat sheet

Featured Webcast

Live Webcast: Better, Faster and More Scalable: Learn How HPC Managed Services Enable Supercom puting

Leading enterprises understand the value of optimizing their high performance computing (HPC) resources, but they struggle with bringing meaningful change to their processes, assets, and infrastructure. For organizations looking to scale their HPC efforts and maximize resources, it is vital that they understand what is driving the industry today.

Samsung SDS invites you to join us for an educational webinar on April 23, 2019 when we will review the im plementation of optimal HPC configurations and discuss the benefits of creating a cost-effective, high core count, high performance-based HPC environment that will provide a very competitive ROI.

We will discuss:

  • How enterprises can improve their HPC infrastructure
  • The competitive landscape for HPC managed services
  • Designing and implementing optimal HPC cluster configurations
  • Incorporating Hybrid Cloud physical infrastructure such as Microsoft Azure
  • Ensuring the optimal performance of operation centers

Register today!

Featured multimedia

Wi-Fi 6: An insider's guide (free PDF)

The arrival of Wi-Fi 6 later this year promises an increase in wireless speeds, along with better reliability. This ebook explains the new technology and outlines its availability and potential use cases for consumers and business professionals.

The data scientist job interview: Questions to expect and questions to ask (free PDF)

Before you walk into your next interview for a data scientist job, be sure you prep with this ebook. It offers a list of questions interviewers may ask—and a list of questions you can ask <i>them</i>, to demonstrate your knowledge and business focus.

Today's recommended downloads

Kinetic Infrastructure and Dell EMC PowerEdge MX

(Microsoft - Dell EMC)

IBM's Db2 in a Multi-Cloud World

(IBM)

How To Achieve The Greatest Success As You Automate

(Microsoft - Dell EMC)

5 Ways PowerEdge MX Meets Changing IT Demands

(Microsoft - Dell EMC)

Moving Your Databases To The Cloud

(Quest Software)

Featured survey

Does your organization use prescriptive analytics? If so, how? We want to know. Take this 5-minute survey and get a free copy of the final research report.

A special feature from ZDNet and TechRepublic

Managing AI and ML in the enterprise

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build.

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