This year, over 100,000 developers told us how they learn, build their careers, which tools they’re using, and what they want in a job.
Each year, we ask the developer community about everything from their favorite technologies to their job preferences. This year marks the eighth year we’ve published our Annual Developer Survey results—with the largest number of respondents yet. Over 100,000 developers took the 30-minute survey this past January.
This year, we covered a few new topics ranging from artificial intelligence to ethics in coding. Here are a few of the top takeaways from this year’s results:
- DevOps and machine learning are important trends in the software industry today. Languages and frameworks associated with these kinds of works are on the rise, and developers working in these areas command the highest salaries.
- Only tiny fractions of developers say that they would write unethical code or that they have no obligation to consider the ethical implications of code, but beyond that, respondents see a lot of ethical gray. Developers are not sure how they would report ethical problems, and have differing ideas about who ultimately is responsible for unethical code.
- Developers are overall optimistic about the possibilities that artificial intelligence offers, but are not in agreement about what the dangers of AI are.
- Python has risen in the ranks of programming languages on our survey, surpassing C# in popularity this year, much like it surpassed PHP last year.
- When assessing a prospective job, different kinds of developers apply different sets of priorities. Women say their highest priorities are company culture and opportunities for professional development, while men say their highest priorities are compensation and working with specific technologies.
Want to dive into the results yourself? In a few weeks, we’ll make the anonymized results of the survey available for download under the Open Database License (ODbL). We look forward to seeing what you find!
Setup my recently arrived Google AIY/Voice Project and am busy going about customizing the interface. Short a MicroSD card but Amazon will fix that soon enough.
Note: Enjoying the Linux nature of Raspberry Pi as well as all the Python tools and use. Clearly a Confluence Project.
urlwatch: a tool for monitoring webpages for updates
urlwatch is intended to help you watch changes in webpages and get notified (via email, in your terminal or with a custom-written reporter class) of any changes. The change notification will include the URL that has changed and a unified diff of what has changed.
Cloud Machine Learning Engine -- Managed ML (TensorFlow)
Cloud Job Discovery -- ML Job Search/Discovery
Cloud Natural Language -- Text Parsing and Analysis
Cloud Speech -- Convert Speech to Text
Cloud Translation -- Language Detection and Translation
Cloud Vision -- Image Recognition and Classification
Cloud Video Intelligence -- Scene-level Video Annotation
Internet of Things
Cloud IoT Core -- Data Ingestion/Device Management
BigQuery -- Data Warehouse/Analytics
Cloud Dataflow -- Stream/batch data processing
Cloud Dataproc -- Managed Spark and Hadoop
Cloud Datalab -- Visualize and Explore Data
Cloud Dataprep -- Transform/Clean Raw Data
Cloud Pub/Sub -- Global Real-time Messaging
Genomics -- Managed Genomics Platform
Data Studio -- Collaborative Dashboards
Cloud SQL -- Managed MySQL and PostgreSQL
Cloud Bigtable -- HBase compatible nonrelational
Cloud Datastore -- Horizontally scalable nonrelational
Cloud Spanner -- Horizontally scalable relational
Cloud Storage -- Object Storage and Serving
Nearline -- Archival Storage
Coldline -- Archival Cold Storage
Persistent Disk -- VM-attached disks
Google Transfer Appliance -- Hardware for Data Migration
Cloud Storage Transfer Service -- Cloud to Cloud Transfers
BigQuery Data Transfer Service -- Bulk Import Analytics Data
Compute Engine -- Virtual Machines, Disks, Network
App Engine -- Managed App Platform
Container Engine -- Managed Kubernetes/Containers
Cloud Functions -- Event-driven serverless applications
Virtual Private Cloud -- Software Defined Networking
Cloud Load Balancing -- Multi-region Load Distribution
Cloud CDN -- Content Delivery Network
Cloud DNS -- Programmable DNS Serving
Dedicated Interconnect -- Dedicated private network connection
IPsec VPN -- Virtual private network connection
Direct Peering -- Peer with GCP
Carrier Peering -- Peer with a carrier
Identity and Security
Cloud IAM -- Resource Access Control
Cloud Identity-Aware Proxy -- Identity-based App Signin
Cloud Data Loss Prevention API -- Classify, Redact Sensitive Data
Cloud Key Management Service -- Hosted Key Management Service
Cloud Resource Manager -- Cloud Project Metadata Management
Cloud Security Scanner -- App Engine Security Scanner
Security Key Enforcement -- Two-step Key Verification
Stackdriver Monitoring -- Infrastructure and Application Monitoring
Stackdriver Logging -- Centralized Logging
Stackdriver Error Reporting -- App Error Reporting
Stackdriver Trace -- App Performance Insights
Stackdriver Debugger -- Live Production Debugging
Cloud Deployment Manager -- Templated Infrastructure Deployment
Cloud Console -- Web-based Management Console
Cloud Shell -- Browser-based Terminal/CLI
Cloud Mobile App -- iOS/Android GCP Manager App
Cloud Billing API -- Programmatically Manage GCP Billing
Cloud APIs -- APIs for Cloud Services
Cloud SDK -- CLI for GCP
Container Registry -- Private Container Registry/Storage
Container Builder -- Build/Package Container Artifacts
Cloud Source Repositories -- Hosted Private Git Repos
Cloud Tools for Android Studio -- Android Studio GCP Tools
Cloud Tools for IntelliJ -- IntelliJ GCP Tools
Cloud Tools for PowerShell -- PowerShell GCP Tools
Cloud Tools for Visual Studio -- Visual Studio GCP Tools
Cloud Tools for Eclipse -- Eclipse GCP Tools
Gradle App Engine Plugin -- Gradle App Engine Plugin
Maven App Engine Plugin -- Maven App Engine Plugin
API Platform and Ecosystems
Apigee API Platform -- Develop, secure, monitor APIs
Apigee Sense -- API protection from attacks
API Monetization -- Monetize APIs
API Analytics -- API Metrics
Cloud Endpoints -- Cloud API Gateway
Realtime Database -- Real-time Data Synchronization
Cloud Firestore -- Document Store and Sync
Cloud Storage -- File Storage and Serving
Hosting -- Web Hosting with CDN/SSL
Authentication -- Drop-in Authentication
Cloud Functions -- Event-driven Serverless Applications
Test Lab for Android -- Mobile Device Testing Service
Performance Monitoring -- App Performance Monitoring
Crashlytics -- Crash Reporting and Analytics
Cloud Messaging -- Send Messages to Devices
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Published by Class Central, the Top 50 List
What I noticed is that the most popular programming language listed is Python with THREE entries including the NUMBER ONE course listed.
According to the authors a quick summary of the Top 50 list:
- Coursera is the top provider with 28 courses in the Top 50, and edX is second with 9 courses;
- Stanford and MIT top the list with four courses each, and the University of Cape Town has three courses in the Top 50 — two on FutureLearn and one on Coursera;
- the list includes courses from 35 universities and one research institute (Santa Fe), of which 22 universities are in the US; and
- Barbara Oakley and Terry Sejnowski, the instructors of the most popular online courses in the world, have two courses in the top 50. Their new course Mindshift joins Learning How To Learn in the top 50.