Preface
Why programmers have a 35-year-old crisis
The 35-year-old crisis among programmers is a relatively common phenomenon. This is because many companies tend to hire younger programmers because they are often able to offer lower salaries while also being more receptive to the company's culture and values. In addition, with the rapid development of technology, many older programmers may feel overwhelmed because they need to spend more time and energy learning new technologies. These factors will cause programmers to encounter a career crisis around the age of 35.
In addition, the 35-year-old crisis for programmers is also related to the fiercely competitive industry environment. The software development industry has relatively low barriers to entry, so there are plenty of programmers in the market, and companies can stay competitive by recruiting younger programmers. In addition, with the development of artificial intelligence and automation technology, some simple and repetitive programming tasks may be replaced by machines, resulting in fewer job opportunities for programmers.
However, it should be pointed out that age should not be a limiting factor for a programmer. Programmers can stay competitive by constantly learning new skills and mastering new tools. In addition, programmers can consider transitioning to other careers, such as technical consultants, project managers, or freelancers, creating new opportunities and prospects.
What is the way out for older programmers?
Programmers are a high-paying, high-demand profession, but as they grow older, some programmers may consider changing careers or looking for a job that is more suitable for them. So, what kind of career can programmers pursue after the age of 35?
- Transformed into a technical consultant
Technical consultants are a good transition choice. Programmers have accumulated a lot of skills and experience during their careers and can play an important role in this field. A technology consultant's job is to help businesses adopt the right technology solutions to increase efficiency and reduce costs.
- Transition to project manager
Project manager is a very promising career, a field that requires a combination of technical and management skills. Programmers can apply their technical knowledge and experience to project management, thus becoming a good project manager.
- Transformation into a Technology Educator
With the popularity of the Internet, technical education has become a huge market. Programmers can transform their technical knowledge and experience into teaching resources and provide online courses or teaching services to help beginners or others who want to learn technology.
- Transition to freelance
Freelancing is an increasingly popular career choice. Programmers can turn their skills and experience into work-from-home opportunities, providing services to businesses as independent developers, website developers, app developers, IT consultants, and more.
In conclusion, after the age of 35, programmers can choose to transition into other careers that require combining technical knowledge with other skills. Programmers can use their skills and experience to find a career path that suits them and inject new vitality into their careers.
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.
Through crawler technology, relevant content can be collected, analyzed and selected 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 huge 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) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.
5. Machine Learning
Machine learning is to learn from a part of the computer data, and then predict and judge other data.
The core of 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 does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.
Data collection
This complete version of Python's full set of learning materials has been uploaded to CSDN official. If you need it, friends can click on the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
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Understand the prospects of python: https://blog.csdn.net/SpringJavaMyBatis/article/details/127194835
Learn about python’s part-time side job: https://blog.csdn.net/SpringJavaMyBatis/article/details/127196603