foreword
There is a sentence that has been held in my heart for a long, long time! ! ! Someone said: "A man is not as good as a dog when he reaches middle age."
There is nothing wrong with that.
[----Help Python learning, all the following learning materials are free at the end of the article! ----】
This is the life one must face at this age, and at the same time, one has to face all kinds of crises brought about by middle age: physical weakness, aging appearance...
When a person reaches middle age and struggles for half his life, he suddenly raises his head, draws his sword and looks around in a daze, not knowing where to rely.
Age is a flaw, but it is also a gift.
Just like the story of eating buns: How many buns will you be full? I was full after eating three, but we didn't eat the first two, and we couldn't feel full no matter how much we ate.
The leak in the house happens to rain overnight, the boat is late and the wind hits the head!
Not long after I was persuaded to quit, I lost another close relative, and I still owed a loan, and my phone was ringing off the hook every day. The whole of 2019 is like making a movie! !
I often feel that I have the whole world one day, but feel that the world is leaving me the next day.
I have to say that when you are young, you want to achieve a great and exciting career, you want to have a vigorous relationship for a lifetime, and you want to live a unique life... At that time, everything is possible.
People really only grow in suffering. Perhaps it is because of a clear understanding of the reality that it makes people work harder. It didn't take long for me to start learning computer languages by myself, because I have been engaged in operation and maintenance work before, repairing this, repairing that, wherever I need people, I will go there.
Before learning computer language, because of my age, I struggled for a long time and struggled for a long time. I checked a lot of information and asked a lot of people.
The answer is different, and then I summed it up in one sentence:
People are defeated by themselves, and it is over before it starts.
Fortunately, I have always been eager to learn and never gave up. After being introduced by a friend, I chose to learn the Python language by myself.
Before that, I have been exposed to C and JAVA, but I have already returned it to the school, so it can be said that I started from scratch.
When I first started learning, I bought a basic book and read it. I couldn’t understand it at all, and I couldn’t read it. It took a long time to understand just one variable.
It is not clear to install a Pycharm, it is completely unfamiliar, but I still have a foundation for the LINUX system.
I learned and learned, and found that the method was wrong, so I immediately changed the method. From a certain treasure, I found a zero-based video tutorial. From a cooperative point of view, I still don’t understand these variables! if! for! Basic knowledge such as where loop statement, I gave up halfway for more than a month.
Persistence and self-discipline are the keys to success. Not long after, I bought another video tutorial, and later I bought another zero-based tutorial to watch. After repeated learning, watching, and practicing, it suddenly seemed that I had opened up the two veins of Ren and Du. The difficult-to-understand Pycharm became It becomes clear.
Draw from a self-taught experience:
Conceptual things must be presented in the form of drawings; abstract concepts must be turned into images. Then there will be impressions, and then there will be images, and slowly, the whole thinking will become clear (I wanted to share with you the variable memory map I drew for the first time, but I couldn't find it).
Then, after you understand the concept, practice more and practice more.
To sum up, this theory is like the mind of martial arts, and the actual practice is the moves of martial arts, so that you can play a whole set of very solid kung fu.
Draw pictures - take notes - do more exercises - read the knowledge points that you don't understand immediately and repeatedly until you really understand.
If you don’t understand the code, type it, write it down, and then type it again yourself.
In this way, I studied by myself for about half a year, and then I got a job as a substitute teacher in a technical secondary school.
When we reach middle age, we also have a certain network of contacts, which is relatively rare. Just a few years ago, a friend learned that I had learned a little Python, so he asked me to go to their company for software testing. His position in the company is the director , Therefore, it is always good to have one more technology.
It's nothing, don't lose confidence, what's the matter, don't be sick!
The aging of appearance does not mean the aging of life. There is a sentence that still impresses me deeply: "Hold the time and live up to yourself".
A mid-life crisis is inevitable, but whether you are old or not, you decide for yourself, as Takeshi Kitano said in "The Truth of Hypocrisy":
Life is not as distinct as the four seasons of the year. A sumo wrestler in his 40s is considered old, but a politician in his 50s is considered a rookie. It is difficult to distinguish exactly how much is old. We have to decide whether we are old or not.
Finally, I will introduce a complete python learning route, from entry to advanced, including mind maps, classic books, and supporting videos, to help those who want to learn python and data analysis!
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 learn them first. Anything tall is built on primitive foundations. With a solid foundation, the road ahead will be more stable.
Include:
Computer Basics
python basics
Python introductory video 600 episodes:
Watching the zero-based learning video is the fastest and most effective way to learn. Following the teacher's ideas in the video, it is still very easy to get started from the basics to the in-depth.
2. Python crawler
As a popular direction, reptiles are a good choice whether it is a part-time job 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 in a wide range of fields. 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 material
3. Data analysis
According to the report "Digital Transformation of China's Economy: Talents and Employment" released by the School of Economics and Management of Tsinghua University, the gap in data analysis talents is expected to reach 2.3 million in 2025.
With such a big talent gap, data analysis is like a vast blue ocean! A 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 integration 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 conform to the rules), transform (different dimension and different granularity of 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, a computer uses the obtained data to obtain a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, people can predict new problems after obtaining certain experience.
Machine Learning Materials:
6. Advanced Python
From basic grammatical content, to a lot of in-depth advanced knowledge points, to understand programming language design, after learning here, you basically understand all the knowledge points from python entry to advanced.
At this point, you can basically meet the employment requirements of the company. If you still don’t know where to find interview materials and resume templates, I have also compiled a copy for you. It can really be said to be a systematic learning route for nanny and .
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
This full version of the full set of Python learning materials has been uploaded to the official CSDN. If you need it, you can click the CSDN official certification WeChat card below to get it for free ↓↓↓ [Guaranteed 100% free]
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