foreword
The three emo moments in life: the work is not smooth, the salary does not rise, and the job search is rejected.
It is said that there is no easy word in the world of adults. This sentence is vividly reflected in the workplace:
- After 5 years of work, I haven't had time to get promoted, the salary is upside down, and the position is optimized;
- At 11 o'clock in the evening, my colleagues are working overtime, I dare not leave first, and strive to be the first person in the scroll king;
- On the 38th day of graduating and looking for a job, all resumes are lost, and interviews are always rejected;
- …
My classmates and colleagues are getting promotions and salary increases , but I can't even find a suitable job opportunity...
I couldn't help shouting in my heart: How can we break the current predicament in the workplace and successfully find a high-paying job? ! Can you only watch others surpass yourself step by step?
Therefore, when the degree of education is not comparable, it is more necessary to grasp the technology. Although it is an era of education, as long as the technology is hard enough, it is still possible to enter the big factory.
Python itself is extremely powerful because of its rich libraries. It can develop Flask, AI, data analysis, crawlers, etc. from the background with ease.
Python is also very quick to get started, and it is very friendly to newbies, non-majors, or students who want to learn a language and experience programming.
Python is very popular due to its concise syntax, cross-platform, rich class library, extensibility, and open source . Many programmers around us choose Python as the main language or second language to improve their competitiveness in the workplace. .
In particular, the widespread use of Python in deep learning, machine learning and other fields has made Python a "net celebrity" language in the era of artificial intelligence. Whether you are engaged in web-related development in the future, or engage in artificial intelligence, data analysis, back-end development, automated testing/operation and maintenance, crawler, etc., learning Python is very necessary.
If you want to engage in artificial intelligence, machine learning, or want to improve your workplace competitiveness, learn Python well, it will indeed become one of the most convenient and powerful tools for your learning and work.
Moreover, using Python to complete the development of scripts or small tools such as multi-threading, database, browser, etc. can save at least half of the code compared to languages such as Java, C, and C++ , and even BATZJ's technical masters are undeniable. The importance of Python for a programmer's development right now.
Important is important, but many people still have a lot of confusion when learning, such as:
I have been writing C before, is it difficult to learn Python?
How to get started with Python the fastest?
Where can I find Python projects that can practice hands-on projects?
What are some useful crawler tools?
There are too many Python application directions, how to choose?
…
I believe many people have encountered these problems, and I am no exception. But I have also accumulated a lot of experience in learning Python over the years. Let me share with you:
1. Solid foundation; whether doing data analysis or web development, follow a complete learning path;
2. Multi-practice projects
; level and broaden the horizon of the industry.
Python is easy to learn but difficult to master, and it is not easy to master it overnight. Here I share my treasured "learning Python knowledge framework diagram" , which systematically sorts out the necessary knowledge points for getting started with Python, and it is recommended to save it.
About Python technical reserve
Now that the competition is so fierce, only by constantly learning and improving ourselves can we remain competitive.
⭐Python essential development tools⭐
The technical points in all directions of Python are organized to form a summary of knowledge points in various fields. Its usefulness is that you can find corresponding learning resources according to the above knowledge points to ensure that you can learn more comprehensively.
⭐Python essential development tools⭐
⭐Excellent Python learning books⭐
⭐Python Video 600 Collection⭐
From introductory to proficient, you can study with videos while reading books, and you can actually write programming while watching videos, which makes it easier to learn.
Reminder: The space is limited, the folder has been packaged, and the way to obtain it is at the end of the article
⭐Practical Cases⭐
When we watch videos to learn, we can’t move our eyes and brains without hands. The more scientific learning method is to use them after understanding. At this time, the hands-on project is very suitable.
⭐99 Python practice questions⭐
⭐Interview Questions⭐
Summary (get address)
Full version of Python complete set of learning materials: https://shimo.im/docs/HgKhKrYGDYxpY8dp/
Being a programmer is really a profession that will pay off when you study. It doesn't matter if you are tall or you have academic qualifications. As long as your skills reach the required level, you can get the corresponding rewards.
There is a saying, life is too short, I want to learn Python.