看懂数据的人，正在悄悄拿走高薪岗位 你有没有这样的经历：每天在终端跑客户、理货、促单，报表填了一堆，却总觉得离"专业"的销售分析岗位还差一口气？简历投出去，往往石沉大海，似乎 总被"学历不够"挡在门外。 但真相，或许并非如此。 我接触过不少像你这样的销售朋友。他们真正遇到的瓶颈，其实不是学历，而是缺了一项关键能力——把日常琐碎的销售动作，变成清晰的数据洞察，用数 据证明自己的价值。 举个例子。 宝洁早就在终端推行"数字化路线系统"，业务员每拜访一家店，系统就会自动记录陈列情况、库存数据、竞品动态。后台的分析师通过建模，直接指 导销售团队下一步的行动重点。 可口可乐的销售分析岗不仅要会看数据，还要能用数据工具（如Power BI、SQL）自主提取和分析终端动销数据，甚至撰写数据报告推动产品调整。 小张原来是一名普通饮料销售，每天巡店、理货、谈订单。但他不一样的是，会默默记录每个门店的动销数据、货架排面变化甚至天气对销量的影响。后来 在一次业务会上，他直接用数据指出：某款产品在小学旁边的网点下午3-5点销量会突增，建议调整补货时间。 就是这次用数据说话的发言，让他被区域经理注意到，三个月后调岗成了终端分析专员。 ...

SQL（Structured Query Language）即结构化查询语言，是用于管理关系数据库的标准语言。SQL算是大数据中最常用的语言，对于数据产品来说具备基础 的SQL技能是必不可少的。 了解基础概念 数据库基本概念 先了解数据库的基本概念，如数据库（Database）是存储数据的仓库；表（Table）是数据库中数据的逻辑组织形式，由行（记录）和列（字段）组成；字 段（Field）表示表中的一个列，每个字段有特定的数据类型，如整数、文本、日期等。 01 SQL 基本功能分类 SQL 主要分为数据定义语言（DDL）、数据操作语言（DML）、数据查询语言（DQL）和数据控制语言（DCL）。 DDL 用于定义数据库对象，如创建、修改和删除数据库、表等，常用语句有CREATE、ALTER、DROP。 DML 用于对数据库中的数据进行操作，包括插入（INSERT）、更新（UPDATE）和删除（DELETE）。 DQL 用于从数据库中查询数据，最常用的语句是SELECT。 DCL 用于控制用户对数据库的访问权限，如授予（GRANT）和撤销（REVOKE）权限。 主键（Primary Key）是用于唯一标识表中每一 ...

Core Insights - C has regained the title of "Programming Language of the Year" in the 2025 TIOBE index, marking a significant rise in its ranking after three years [1] - The programming landscape is shifting, with C and C++ swapping positions, and C language maintaining its dominance in the embedded systems market [1] - Perl has made a remarkable leap from 32nd to 11th place, while R language has returned to the top ten, driven by growth in the data science sector [1] - Go language has fallen out of the top ten, and Ruby has dropped out of the top twenty, indicating a potential decline in their usage [1] Ranking Summary - Python remains the top programming language with a rating of 22.61%, although it has seen a slight decrease of 0.68% [2] - C has moved up to the second position with a rating of 10.99%, showing an increase of 2.13% [2] - Java and C++ have dropped to third and fourth positions, respectively, with Java at 8.71% (down 1.44%) and C++ at 8.67% (down 1.62%) [2] - C holds the fifth position with a rating of 7.39%, reflecting an increase of 2.94% [2] - Visual Basic and SQL are in sixth and eighth positions, respectively, with ratings of 2.41% and 2.27% [2] - R has climbed to the tenth position with a rating of 1.82%, up by 0.81% [2] - Perl's rise to 11th place with a rating of 1.63% marks a significant increase of 1.14% [2] - Rust has moved to 13th place with a rating of 1.51%, showing a modest increase of 0.34% [2] - Go has dropped to 16th place with a rating of 1.24%, down by 1.37% [2]

Core Viewpoint - Python continues to dominate as the most popular programming language, achieving a remarkable lead over its competitors, particularly Java, in the IEEE Spectrum 2025 programming language rankings [2][4][5]. Group 1: Python's Dominance - Python has secured its position as the top programming language for ten consecutive years, marking a significant achievement in the IEEE Spectrum rankings [6]. - This year, Python has not only topped the overall ranking but also led in growth rate and employment orientation, making it the first language to achieve this triple crown in the 12-year history of the IEEE rankings [7]. - The gap between Python and Java is substantial, indicating Python's strong growth trajectory [4][5]. Group 2: Python's Ecosystem and AI Influence - Python's rise can be attributed to its simplicity and the development of powerful libraries such as NumPy, SciPy, matplotlib, and pandas, which have made it a favorite in scientific, financial, and data analysis fields [10]. - The network effect has played a crucial role, with an increasing number of developers choosing Python and contributing to its ecosystem, creating a robust community around it [11]. - AI has further amplified Python's advantages, as it possesses richer training data compared to other languages, making it the preferred choice for AI applications [12][13]. Group 3: Other Languages' Challenges - JavaScript has experienced the most significant decline, dropping from the top three to sixth place in the rankings, indicating a shift in its relevance [15]. - SQL, traditionally a highly valued skill, has also faced challenges from Python, which has encroached on its territory, although SQL remains a critical skill for database access [18][21][23]. Group 4: Changes in Programming Culture - The community culture among programmers is declining, with a noticeable drop in activity on platforms like Stack Overflow, as many now prefer to consult AI for problem-solving [25][26]. - The way programmers work is evolving, with AI taking over many tedious tasks, allowing developers to focus less on programming details [30][31]. - The diversity of programming languages may decrease as AI supports only mainstream languages, leading to a stronger emphasis on a few dominant languages [37][39]. Group 5: Future of Programming - The programming landscape is undergoing a significant transformation, potentially leading to a future where traditional programming languages may become less relevant [41]. - While high-level languages like Python have simplified programming, the ultimate goal may shift towards direct interaction with compilers through natural language prompts [46]. - The role of programmers may evolve, focusing more on architecture design and algorithm selection rather than maintaining extensive source code [49][50].

Core Viewpoint - The article discusses the evolving landscape of programming languages, highlighting the dominance of Python and the decline of JavaScript, while emphasizing the impact of AI on programming practices and the potential stagnation of new language development [2][4][19]. Programming Language Rankings - IEEE Spectrum's 2025 ranking includes 64 programming languages, evaluated based on usage by programmers, employer demand, and current trends, with Python retaining the top position [2][4]. - JavaScript dropped from third to sixth place, attributed to the rise of AI tools that reduce the need for traditional coding practices [4][10]. Metrics and Methodology - The ranking process utilized seven different metrics, including Google search traffic, Stack Exchange questions, research paper mentions, and GitHub activity, reflecting the attention garnered by various languages [3][4]. AI's Influence on Programming - The article notes a significant reduction in questions posted on Stack Exchange, with 2025's volume at only 22% of 2024's, indicating a shift towards AI-assisted coding [12][13]. - Developers are increasingly relying on AI models like Claude and ChatGPT for coding assistance, leading to a diminished focus on specific programming languages [12][13]. Future of Programming Languages - The article raises concerns about the potential decline in the emergence of new programming languages, as AI tools may address many coding challenges, reducing the need for new languages [15][19]. - It speculates that programming may evolve towards a model where AI generates code from high-level prompts, potentially rendering traditional programming languages less relevant [18][19].

Core Insights - The TIOBE Index for July 2025 reveals that Python, C, C++, Java, C, JavaScript, and Go have maintained their positions in the top seven programming languages for three consecutive years, forming a strong "first camp" [1][4] - The competition for the 8th to 12th positions is fierce among older languages like Visual Basic, SQL, Fortran, Ada, Perl, and Delphi, showcasing a "twilight of the gods" in the programming world [1][3] - Despite the emergence of newer languages like Rust, Kotlin, Dart, and Julia, they have not yet broken into the top ten due to the resilience of established languages [4][5] Rankings and Market Share - Python's market share has surged to 26.98%, significantly widening the gap with the second-ranked C++ at 9.80%, marking a dramatic lead [7][10] - The top ten programming languages in July 2025 are: Python, C++, C, Java, C, JavaScript, Go, Visual Basic, Ada, and Delphi/Object Pascal [14][16] Language Characteristics and Trends - Python is recognized for its ease of use and active community, despite criticisms regarding its performance speed [11][12] - Older languages like Visual Basic and SQL maintain relevance due to their roles in enterprise legacy systems and database foundations, respectively [5][4] - Ada is experiencing a resurgence in high-security applications, while Fortran remains entrenched in scientific computing [5][4] Historical Context - The TIOBE Index is updated monthly and reflects trends in programming languages based on the number of engineers, courses, and third-party vendors, providing insights into the current landscape of programming languages [20]

Core Viewpoint - The article discusses the recurring narrative of "programmers being replaced by machines" throughout the history of computing, emphasizing that each technological advancement has led to the evolution rather than the extinction of the programming profession [2][50]. Group 1: Historical Waves of Programmer Replacement - The first wave of replacement occurred in the 1950s with the advent of compilers, which allowed for higher-level programming languages, leading to the emergence of a new profession: software programmers [8][10]. - The 1960s saw the introduction of COBOL, aimed at making programming accessible to business managers, which instead resulted in a new class of specialized COBOL programmers [12][13]. - The 1970s introduced fourth-generation programming languages (4GL), which promised to simplify programming by allowing users to declare what they wanted rather than how to achieve it, but ultimately led to the rise of hybrid roles rather than the elimination of programmers [22][23]. - The 1980s brought about Computer-Aided Software Engineering (CASE) tools, which aimed for full automation of coding but revealed that the core challenges of software development lay in defining requirements rather than coding itself [26][28]. - The 1990s saw the rise of Rapid Application Development (RAD) tools like Visual Basic, which democratized programming but also created a clear division between application developers and system developers [38][39]. - The 2000s introduced outsourcing as a cost-saving measure, leading to a new division of labor in the IT industry, but also highlighted the importance of communication and collaboration skills in software development [43][45]. - The 2010s witnessed the emergence of Low-Code/No-Code platforms, empowering business users to create applications, yet reinforcing the role of professional developers in governance and control [48][49]. Group 2: The Impact of AI on Programming - The current wave driven by AI and large language models (LLMs) raises concerns about the end of coding as a profession, but practical experience shows that AI-generated code often lacks context and requires human oversight [50][54]. - The historical pattern indicates that each technological advancement has led to a redefinition of the programmer's role, with increasing complexity and demand for higher-level skills rather than outright replacement [57][58]. - The enduring value of software engineers lies in their deep business understanding, rigorous system design, and critical thinking, which remain essential despite the rise of AI tools [59].

Core Viewpoint - The TIOBE programming language ranking for June 2025 indicates a decline in SQL's popularity, dropping to 12th place, marking its historical low, while Python continues to dominate the rankings with a significant lead over other languages [2][20]. SQL's Historical Context - SQL reached its peak ranking at 6th place in October 2003 but was removed from the TIOBE index from 2004 to 2018 due to debates about its classification as a programming language [5]. - SQL was reintroduced to the rankings in 2018, benefiting from its stronghold in the database domain, and returned to the top ten [5]. SQL's Applications - SQL is integral to various sectors, including banking, e-commerce, healthcare, and education, where it manages vast amounts of structured data [7]. SQL Database Overview - A list of common SQL databases includes MySQL, PostgreSQL, SQLite, MariaDB, Oracle, SQL Server, and IBM Db2, with most being open-source [9]. Rise of NoSQL - The emergence of NoSQL databases poses a significant threat to SQL, as NoSQL is designed to handle unstructured data and offers greater flexibility, making it suitable for rapidly changing requirements [10][12]. - NoSQL databases, such as MongoDB and Redis, are increasingly favored for their ability to manage big data and high concurrency scenarios [13][16]. Programming Language Rankings - As of June 2025, the top programming languages are Python, C++, C, Java, C, JavaScript, Go, Visual Basic, Delphi/Object Pascal, and Fortran, with Python holding a commanding lead at 25.87% [20][22]. - SQL's ranking has dropped significantly, now positioned at 12th place, reflecting a shift in developer preferences towards more flexible programming languages [26]. Historical Trends - The TIOBE index tracks the popularity of programming languages based on various metrics, including search engine queries and community engagement, providing insights into industry trends [29].