The TIOBE Programming Language Rankings for March 2024 have been released, with the official title: The gap between Python and the rest has never been that large.
The TIOBE index showed a relatively calm trend in February, but there were still some notable changes. According to TIOBE CEO Paul Jansen, the most striking point is that Python currently leads other languages by 4.5%, while Scratch has returned to the top ten.
At the same time, Rust continues its upward momentum.
Python, as a high-level programming language, has a wide range of applications and diverse advantages in today’s software development and data science fields.Advantages of Python:
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Easy to Learn: Python’s syntax is simple and clear, resembling natural language, making it easy to learn and understand. This makes Python the preferred language for beginners, non-computer professionals, and in the education sector.
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Diverse Application Areas: Python can be used in various fields, including web development, data science, artificial intelligence, machine learning, scientific computing, natural language processing, and network programming. Its flexibility and versatility make Python a comprehensive programming language.
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Powerful Ecosystem: Python has a large and active community and ecosystem, with rich third-party libraries and tool support, such as NumPy, Pandas, TensorFlow, and PyTorch, which can greatly simplify the development process and improve efficiency.
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Cross-Platform: Python is a cross-platform language that can run on various operating systems, including Windows, Linux, and macOS, allowing developers to easily deploy their applications in different environments.
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Rapid Development: Python features rapid development and iteration capabilities, allowing for quick prototyping and iterative development through dynamic typing and automatic memory management.
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Rich Community Support and Documentation: Python has a large developer community with extensive documentation, tutorials, and Q&A sites, such as the official Python documentation and Stack Overflow, making it easy for developers to access the help and resources they need.
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Wide Tool Support: Python supports various integrated development environments (IDEs), such as PyCharm and Jupyter Notebook, as well as text editors like Sublime Text and VS Code, allowing developers to choose the tools that suit their preferences for development.
In terms of application scope, Python is virtually ubiquitous:
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Web Development: Python excels in building web applications through frameworks like Django and Flask.
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Data Science and Artificial Intelligence: Python has extensive applications in data analysis, data visualization, machine learning, and artificial intelligence, supported by libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib.
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Scientific Computing: Python is also widely used in scientific computing and engineering, with libraries like SciPy and SymPy providing rich scientific computing capabilities.
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Natural Language Processing: Python has strong capabilities in handling text data and natural language processing, with libraries like NLTK and spaCy providing developers with rich tools and algorithms.
History of Python Language Versions:
Support Timeline for Each Version:
Official Python Website: https://www.python.org/
Python Beginner Tutorial: https://www.runoob.com/python3/python3-tutorial.html
Scan the QR code below to access the Python beginner tutorial:
Python Historical Ranking Change Chart:
This month, the top ten rankings are:
Python, C, C++, Java, C#, JavaScript, SQL, Go, Scratch, Visual Basic.
Historical Change Curve of Python, C, C++, Java, C#, JavaScript, SQL, Go, Scratch, Visual Basic:
Ranking of Programming Languages 11-20, PHP has dropped out of the top 10:
Ranking of Programming Languages 21-50:
51-100 Programming Languages: ABAP, ABC, ActionScript, Algol, Apex, APL, Awk, bc, Bourne shell, Carbon, CFML, CHILL, CLIPS, Clojure, Crystal, Curl, DiBOL, Eiffel, Elixir, Groovy, Hack, Icon, IDL, Io, J, J#, JScript, LabVIEW, Ladder Logic, LiveCode, Modula-2, NATURAL, Nim, OCaml, OpenCL, OpenEdge ABL, PL/I, PL/SQL, PostScript, Q, Racket, REXX, Ring, Smalltalk, SPARK, SPSS, Tcl, VHDL, Wolfram, ZigHistorical Rankings of Major Programming Languages (1988-2024):
Programming Language “Hall of Fame” (2003-2023):
The TIOBE index publishes a programming language ranking every month, based on the number of global technical engineers, courses, and third-party vendors, including popular search engines and technical communities such as Google, Baidu, and Wikipedia.The data reflects the current trends in mainstream programming languages and can serve as a reference for our learning and work, but each language has its own suitable application scenarios, so there is no need to be overly concerned, as the quality of a language depends on how it is used.The following video shows the trend of programming languages over the past few decades:Reference: https://www.tiobe.com/tiobe-index/