What are programming languages?

Programming languages are languages that are made up of instructions for computers and other machines to solve problems, perform tasks, or analyze data. A computer processes every action or bit of data into binary code, which consists of ones and zeroes. A programming language takes command from a human language and translates it into binary code for the computer to process. There are two types of programming languages: low-level and high-level. Low-level languages are closer to binary code and easier for the computer to understand, while high-level languages are more sophisticated and take more time for a machine to process.

Why is learning programming languages important?

Learning programming languages is important because you can use them to develop new software and applications that others can use. Computer programming is increasingly important in a technologically connected world, and if you know how to use programming languages, you can help create innovative technologies that make life easier and better for consumers. The computer industry will continue to grow, and companies are constantly looking for employees with a thorough knowledge of programming languages who can work to develop the next generation of applications and devices.

What career opportunities can arise from learning programming languages?

The computer programming industry has a vast array of lucrative jobs for employees who understand programming languages, from software and app developers to systems administrators to network security engineers. Opportunities include designing and programming apps and software as well as working as a programmer who helps correct errors in existing software packages. A job as a database administrator allows you to help clients analyze large amounts of information and even recover data that’s been lost. You can also find work as a systems or intelligence analyst and help companies match their computing power to their business objectives and take advantage of new trends.

How can online courses help me learn programming languages?

Online courses in programming languages can show you the basic structure and concepts behind the languages that computers and machines use today so that you can put them to use in your current workplace or in a brand new career. You might also learn the applications of various programming languages in different environments. Courses can help you understand Python, C++, Java, or other popular languages, as well as learn specific uses of these languages across multiple industries. You may also have the opportunity to discover the new programming languages that are on the horizon.

浏览
Programming Languages

筛选依据

''programming languages'的 2601 个结果

免费
免费
IBM Skills Network
AI Foundations for Everyone
您将获得的技能： Computer Science, Machine Learning, Applied Machine Learning, Data Science, Computational Thinking, Cloud Computing, IBM Cloud, Natural Language Processing, Computer Programming, Theoretical Computer Science, Deep Learning, Machine Learning Software, Computational Logic, Design and Product, Human Computer Interaction, Interactive Design, Product Design, Computer Vision, Machine Learning Algorithms, Software Engineering, Software Engineering Tools, Web Development, Web Development Tools
4.7
（12.6k 条评论）
Beginner · Specialization · 3-6 Months
Google
Google Data Analytics
您将获得的技能： Data Analysis, Data Science, Statistical Programming, Business Analysis, SQL, Spreadsheet Software, Business, Data Visualization, Data Management, R Programming, Exploratory Data Analysis, Statistical Visualization, Communication, Statistical Analysis, Data Analysis Software, Business Communication, Data Structures, Data Visualization Software, Tableau Software, Big Data, Cloud Computing, Collaboration, Conflict Management, Critical Thinking, Customer Analysis, General Statistics, Leadership and Management, Plot (Graphics), Probability & Statistics, Small Data, Algorithms, Application Development, Budget Management, Change Management, Computational Logic, Computer Architecture, Computer Networking, Computer Programming, Computer Programming Tools, Cryptography, Data Mining, Data Model, Database Administration, Database Design, Databases, Decision Making, Design and Product, Distributed Computing Architecture, Entrepreneurship, Extract, Transform, Load, Feature Engineering, Finance, Financial Analysis, Full-Stack Web Development, Interactive Data Visualization, Machine Learning, Mathematical Theory & Analysis, Mathematics, Network Security, Other Programming Languages, Problem Solving, Product Design, Programming Principles, Project Management, Research and Design, Security Engineering, Security Strategy, Software Engineering, Software Security, Storytelling, Strategy and Operations, Theoretical Computer Science, Visual Design, Visualization (Computer Graphics), Web Development
4.8
（102.1k 条评论）
Beginner · Professional Certificate · 3-6 Months
免费
IBM Skills Network
IBM Data Engineering
您将获得的技能： Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science
4.6
（40.5k 条评论）
Beginner · Professional Certificate · 3-6 Months
IBM
IBM Cybersecurity Analyst
您将获得的技能： Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Network Model, Computer Networking, Cryptography, Security Strategy, Python Programming, System Software, Cloud Infrastructure, Human Factors (Security), Operating Systems, Computer Programming, Databases, Other Programming Languages, Cloud Computing, Cloud Engineering, DevOps, Linux, Mobile Security, Software Security, Agile Software Development, Application Development, Cloud Management, Computer Architecture, Computer Security Models, Data Analysis, Data Management, Data Structures, Data Warehousing, Database Administration, Database Application, Distributed Computing Architecture, Entrepreneurship, Finance, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Network Architecture, Networking Hardware, Regulations and Compliance, SQL, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science
4.6
（18.9k 条评论）
Beginner · Professional Certificate · 3-6 Months
Google
Google IT Automation with Python
您将获得的技能： Computer Programming, Python Programming, Cloud Computing, Computer Programming Tools, Google Cloud Platform, Information Technology, Leadership and Management, Statistical Programming, Theoretical Computer Science, Computational Thinking, Cloud Management, Cloud-Based Integration, Software Engineering, Software Testing, Application Development, Cloud Platforms, Computational Logic, Data Structures, Entrepreneurship, Mathematical Theory & Analysis, Mathematics, Other Programming Languages, Problem Solving, Programming Principles, Research and Design, Software Engineering Tools
4.7
（35.6k 条评论）
Beginner · Professional Certificate · 3-6 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
您将获得的技能： Mathematics, Linear Algebra, Algebra, Mathematical Theory & Analysis, Algorithms, Artificial Neural Networks, Computer Programming, Deep Learning, Machine Learning, Probability & Statistics, Python Programming, Regression, Statistical Programming, Theoretical Computer Science, Calculus, Statistical Analysis
4.3
（39 条评论）
Beginner · Specialization · 1-3 Months

与 programming languages 相关的搜索

programming languages, part a

programming languages, part b

programming languages, part c

programming languages ⅰ

programming languages ⅱ

rust (programming language)

c programming: language foundations - 2

learn fundamentals of computer programming with c language

总之，这是我们最受欢迎的 programming languages 门课程中的 10 门

Programming Languages, Part A: University of Washington
Programming Languages, Part B: University of Washington
AI Foundations for Everyone: IBM Skills Network
Programming Languages Ⅰ: Korea Advanced Institute of Science and Technology(KAIST)
Google Data Analytics: Google
Programming Languages Ⅱ: Korea Advanced Institute of Science and Technology(KAIST)
Programming Languages, Part C: University of Washington
C Programming: Language Foundations - 2: Dartmouth College
IBM Data Engineering: IBM Skills Network
IBM Cybersecurity Analyst: IBM

您可以在 Software Development 中学到的技能

关于 Programming Languages 的常见问题

Programming languages are languages that are made up of instructions for computers and other machines to solve problems, perform tasks, or analyze data. A computer processes every action or bit of data into binary code, which consists of ones and zeroes. A programming language takes command from a human language and translates it into binary code for the computer to process. There are two types of programming languages: low-level and high-level. Low-level languages are closer to binary code and easier for the computer to understand, while high-level languages are more sophisticated and take more time for a machine to process.‎
Learning programming languages is important because you can use them to develop new software and applications that others can use. Computer programming is increasingly important in a technologically connected world, and if you know how to use programming languages, you can help create innovative technologies that make life easier and better for consumers. The computer industry will continue to grow, and companies are constantly looking for employees with a thorough knowledge of programming languages who can work to develop the next generation of applications and devices.‎
The computer programming industry has a vast array of lucrative jobs for employees who understand programming languages, from software and app developers to systems administrators to network security engineers. Opportunities include designing and programming apps and software as well as working as a programmer who helps correct errors in existing software packages. A job as a database administrator allows you to help clients analyze large amounts of information and even recover data that’s been lost. You can also find work as a systems or intelligence analyst and help companies match their computing power to their business objectives and take advantage of new trends.‎
Online courses in programming languages can show you the basic structure and concepts behind the languages that computers and machines use today so that you can put them to use in your current workplace or in a brand new career. You might also learn the applications of various programming languages in different environments. Courses can help you understand Python, C++, Java, or other popular languages, as well as learn specific uses of these languages across multiple industries. You may also have the opportunity to discover the new programming languages that are on the horizon.‎