Follow 👆 the public account, reply with 'python' to get the zero-based tutorial! Source from the internet, please delete if infringing.1. Introduction to Python
1. Why Learn Python?
[Details on how to obtain are at the end of the article!!]
[Details on how to obtain are at the end of the article!!]
Before learning Python, don’t worry if you have no foundation or think you are “dumb.” I firmly believe that as long as you want to learn and put in the effort, you can learn well and use Python to do many things. In this noisy era, many technologies or concepts will continue to emerge. I hope you can calm down and study, don’t be eager for quick success, and take it step by step. When you master a certain technology, you can still achieve something, even find a job you like or complete practical projects.
No programming language is the best; there is only the most suitable one. As a beginner, I highly recommend you learn Python. Why? On one hand, it has clear syntax, friendly code, and high readability. At the same time, Python has powerful third-party libraries, including web scraping, data analysis, visualization, and artificial intelligence. On the other hand, Python is both an interpreted programming language and an object-oriented language, with high operability and portability, widely used in data mining, information collection, artificial intelligence, network security, and automated testing. Even many elementary and high school courses and computer level two have gradually added Python.
2. Advantages of Python
The biggest advantage of Python is its efficiency. Sometimes, the efficiency of programmers or researchers is more important than that of machines. For many complex functions, using a clearer language can reduce the burden on the program, significantly enhancing the program’s quality. Its ease of learning and extensibility also allow beginners to quickly get started. Although Python’s underlying running speed is slower than that of C language, its clear structure can free up programmers’ time and conveniently integrate with other programming languages (like C language).
Therefore, no programming language has ever rooted itself in so many fields like Python. Python supports cross-platform operation and is open-source, with powerful third-party libraries. Especially with the continuous heat of artificial intelligence, Python has repeatedly ranked first among the most popular languages released by IEEE in recent years, and more and more programming enthusiasts and technology followers are starting to learn Python.
3. Suggestions for Learning Python
During the learning process, don’t feel like you have a weak foundation or have never been in contact with it before and want to give up; many people choose to withdraw before even starting. I believe that as long as you calm down and put in the effort, you can learn well. During the learning process, you must write code, write code, and write code. Only by truly practicing can you gradually accumulate knowledge.
Also, making mistakes while writing code is common. If I don’t make mistakes in my Python code every day, I feel anxious. Therefore, when you encounter errors, learning to use Baidu or Google to solve them is very important; it is also a way to improve your learning ability. If you really can’t find the error, you can ask in open-source forums, communities, or learning groups, and you are welcome to find me in the public account or CSDN.
Next, I will provide the Python programmer growth roadmap recommended by senior teacher Xu Xiangwu, which includes: Basic Syntax –> Syntax Training –> Project Practice –> Continue Learning in Specific Directions –> Intermediate Programmer –> Expand Depth and Breadth –> Senior Programmer.
Here, I will share some of my experiences and tips for learning Python. I first came into contact with Python in 2013, mainly because my graduate research direction was natural language processing, which required me to scrape data and analyze it using Python. Back then, there was very little material on Python, and it wasn’t so popular, but I persisted. Specific suggestions are as follows:
First, install the environment and start writing your first Python code; don’t wait until tomorrow.
During the learning process, do not just watch videos (or read books); while drinking milk tea, you should definitely practice coding.
Usually, start by understanding Python’s basic syntax. I recommend the videos by Teacher Song Tian from MOOC and the syntax from runoob. Of course, there are also many free resources on Bilibili and CSDN that you can choose from.
Once you roughly grasp the basic syntax, you can try learning Python web scraping because whether it’s data analysis, machine learning, or penetration testing, it will involve scraping technology. Only by having your own corpus can you solve more problems. You don’t need to go too deep into scraping; mastering two technologies is sufficient.
Urllib, Requests, BeautifulSoup, XPath, Selenium, Scrapy, Distributed Scraping
Next, learn Python visualization analysis (word clouds), WeChat operations, email sending, and other functions; this knowledge can effectively increase your programming interest.
Artificial Intelligence Direction: Includes machine learning (Regression | Clustering | Classification), deep learning (TensorFlow | Keras | Pytorch) learning; it is recommended to conduct in-depth research in conjunction with actual research or projects.
Image Recognition Direction: Includes image processing, OpenCV, pattern recognition, machine learning, deep learning, and target detection learning; it is also recommended to conduct in-depth research in conjunction with actual research or projects.
Other Learning Directions: Web development, network security, automated testing, application programming.
There are no shortcuts on the learning path, only persistence, but you can continuously enhance your interest in learning through Python and do things you like, growing to love this language. Finally, here’s a motivational quote I used when I was learning Python in my junior year:
If not now, when? If not me, who?
If not for myself, who else; if not now, when will I start?
About Python Technical Preparation
Mastering Python is good for both employment and making extra money, but to learn Python, you still need a learning plan. Finally, I’ll share a complete set of Python learning materials for those who want to learn Python!
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