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I don’t know whether you are a novice who loves programming and is new to programming, or an experienced veteran? But no matter what stage you are at, you may have heard this sentence: "As a programmer, you only need to be proficient in one programming language." Does this sound tempting? After all, mastering a language in depth is hard enough, so why bother with something else?
But let’s calm down and think about it for a moment. Is it true that you only need to be proficient in one programming language to be able to navigate the world of programming with ease? Or, are there more considerations and factors that we need to consider? In this article, Xiaoshimei will delve into this issue, analyzing whether programmers really only need to be proficient in one programming language, and the complexity behind this issue.
Can be proficient in one language and then master multiple languages
Let's make it clear that programmers are unlikely to master only one programming language . Because in real software development, there is seldom a technology that can fully meet all needs and scenarios from beginning to end. Usually need to use multiple technologies to work together to achieve more complex and efficient functions and effects.
For example, in a Web project, you may need to use HTML, CSS, JavaScript and other languages to build the front-end interface; use Python, Java, PHP and other languages to write back-end logic; use SQL, MongoDB, Redis and other languages to operate the database; use Git, Docker, Jenkins and other tools for version control, containerization and continuous integration.
As a programmer, if you only master one programming language, you will face many limitations and difficulties . When encountering unfamiliar technologies, you will feel unable to start or inefficient; when working with other developers, you will feel difficulty in communication or poor coordination; when looking for a job or promotion, you will feel insufficient competitiveness or lack of coordination. Don’t wait for the opportunity.
But this does not mean that programmers are required to master all programming languages . Because among the many programming languages, not all languages have the same importance and value. Some languages are very popular and general, and some are very specialized and specific. Some languages are very basic and core, and some languages are very advanced and derivative. Some languages are very stable and mature, and some languages are very new and changing.
As a programmer, you can choose to be proficient in one programming language, and then master multiple programming languages . Proficiency in a programming language means having a deep understanding and proficient use of the language. Mastering multiple programming languages means having a basic understanding and application of those languages. This allows programmers to give full play to their strengths and abilities in different fields and scenarios.
Once you understand a language, you can know everything
We need to understand that when they say that programmers only need to be proficient in one programming language, many people actually want to express the following meaning: Beginners should focus on learning one language, and then they can master everything. This is a suggestion and encouragement for programming learning, not a regulation and restriction for programming practice.
Many programming languages have some common features and rules, such as variables, data types, operators, expressions, statements, functions, classes, objects, etc. These are the embodiment of programming ideas and methods, which can cross the boundaries of programming languages and apply to different languages. Therefore, if beginners can understand one language, they can master these programming ideas and methods, making it easier to learn and use other languages.
Of course, this does not mean that beginners can ignore the differences and characteristics of other languages as long as they learn one language well . Because there are some unique characteristics and rules among different programming languages, such as grammar, style, paradigm, library, framework and so on. These are the embodiment of programming techniques and tools, which can reflect the advantages and limitations of programming languages, and are suitable for different fields and scenarios. Therefore, beginners should also pay attention to the use and understanding of these programming techniques and tools when learning other languages.
It is unrealistic to be proficient in only one language
Finally, we have to admit that it is unrealistic to be proficient in only one programming language. Because if you want to understand a language deeply, you often need to understand other languages; and if you want to solve practical problems, you often need to use a variety of technologies.
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Take Python as an example. If you want to be proficient in Python (especially the optimization of Python code), you must have an understanding of the source code of the Python virtual machine. The Python virtual machine has multiple versions, including the C language version, the Java version, and the .Net version. Take the most common C Python as an example. Its source code is very skillfully written, and it has been optimized by many people for many years, so it is quite difficult to read. For those who are not fully familiar with the C language, it is difficult to understand the key points. So the question becomes - to be proficient in Python, one must be familiar enough with the C language.
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Take web development as an example. To do a good job in web development, you not only need to master back-end languages such as Python, but also need to master front-end languages such as HTML, CSS, and JavaScript. You also need to understand network technologies such as HTTP protocol, TCP/IP protocol, database system, Web server, Web framework, etc. If you are only proficient in Python, you will not be able to complete a complete web project.
Do programmers only need to be proficient in one programming language? There is no definite answer to this question, it depends on your own goals and circumstances. Different programming languages have different characteristics and advantages and are suitable for different fields and scenarios. Learning multiple programming languages can broaden your horizons and abilities, but you cannot ignore the in-depth learning and mastery of a programming language!
Hope this article can be helpful to you!
1. Introduction to Python
The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article！！！
Include:
Computer Basics
python basics
Python introductory video episode 600:
Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.
2. Python crawler
As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.
Relevant content can be collected through crawler technology, analyzed and deleted to get the information we really need.
This information collection, analysis and integration work can be applied to a very wide range of areas. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.
Python crawler video information
3. Data analysis
The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.
With such a big talent gap, data analysis is like a vast blue ocean! Starting salary of 10K is really commonplace.
4. Database and ETL data warehouse
Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.
The traditional data warehouse integrated processing architecture is ETL. Using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) calculation of different business rules), T = load the processed tables to the data warehouse incrementally, in full, and at different times.
5. Machine Learning
Machine learning is to learn part of the computer data, and then predict and judge other data.
At its core, machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.
Machine learning materials:
6. Advanced Python
From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.
At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .
But learning programming is not achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
It can be achieved overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can review some technical points myself. Whether you are a novice in programming or an experienced programmer who needs to be advanced, I believe that everyone can gain something from it.
Data collection
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