Because of its legible style and wide applicability, Python has become one of the most popular programming languages. Ranked fourth in the TIOBE rankings, it is a veritable artificial intelligence first language.
Another reason for the popularity is that Python has a lot of third-party libraries. Such as Django/Flask for web development, Numpy/Scipy for scientific computing, Scikit-Learn for machine learning, Supervisor/Fabric for operations, BeautifulSoup/Scrapy for web crawlers, etc. You can easily call the implementation without recreating the wheel.
Using Python for data analysis
Crawl web data with Python
Write a small game using Python
After studying the week carefully, you can write a greedy snake.
Write a tool script using Python
Write an auto grab ticket script in Python
Do you think these are still far from you? But many scenes of programming in your work and life can be used.
For example, if the data is slightly larger, the performance of Office cannot meet the requirements at all, but it can be easily handled and analyzed in Python. Microsoft is also considering Python as an official scripting language for Excel. Due to the applicability of Python, it can not only implement VBA functionality, but also replace field functions.
For example, if you want to do some market research, then write a reptile in Python, you can get Internet data in batches, which are valuable raw materials.
You can also write some useful tool scripts, such as automatic jumping tools, such as automatic ticket grabbers, file batch processing tools...
If you think this is difficult, it may be that technology limits your imagination.
Python wide application scenario
So whether it's practical or easy to use, Python is the most cost-effective choice for learning to program. If you have studied other languages, studying Python will greatly broaden your skills tree and allow you to get involved in more fields.
There are countless people learning to program from entry to give up, largely because output and input are not directly proportional. Learning Python, a few lines of code can achieve a crawler, several functions can do simple data analysis, write a small tool, a small game is also a matter of minutes ... This sense of accomplishment will stimulate you the most original interest .
How to learn Python systematically? Generally we will go through the following stages.
01
Understand Python programming basics
One is variables, programming specifications, basic grammar, etc. This is also a prerequisite for getting started writing Python code.
The second is the data structure. Strings, lists, dictionaries, and tuples need to be very proficient, and the data types will run through your entire programming.
Some simple exercises in this section are to construct a data type yourself and then implement basic usage. For example, if you construct a list yourself, you can implement basic operations such as accessing, updating, and deleting data in lists, such as len(), max(), and min() functions, and append(), count(), and extend() methods.
Functions and methods are the basic ways to implement data addition, deletion, and modification. If you encounter data manipulation problems in actual operations, you can find related usages under specific data types.
02
Python functions and flow control
Learning Python's functions and control statements is the process of truly solving the problem. How to achieve judgment and recycling, how to encapsulate fixed function modules into functions, these are not only necessary conditions for writing code, but also the only way to train programming thinking.
This part of the function is nothing more than the definition of the function, the function call and the parameter transfer, but to be able to skillfully write the function corresponding to the function, there are many details that need attention, and also need to continue training.
Process control is relatively good to master some of the conditional statements and bad statements in different scenarios to practice several times, know the judgment and loop implementation process, basically no problem.
In fact, to this place, you have mastered the basic Python knowledge, you can do some small projects on your own, such as guessing numbers, various converters, accounting tools...
03
Do something with Python
Usually after a period of study, you will have a process of self-doubt. It looks like you really understand it, but it is far from making the actual things. Is it useful?
This time may wish to understand some third-party libraries, you can do more things. For example, using pandas for data processing, using matplotlib for data visualization analysis, using BeautifulSoup to write reptiles, and using Flask to build websites... These other people's good-looking wheels can be used directly. Of course, like writing reptiles and websites, you also need to understand some other aspects of knowledge (such as HTTP, HTML, JS, databases, etc.).
For different libraries, you need to familiarize yourself with the internal methods and functions. When you start, you need to master a few of the most common methods. When you encounter actual problems, you can check the corresponding more usages. Efficient.
04
In-depth Python programming
In fact, the third stage is practiced again and again, and you already have some basic skills, such as Python data analysis, web crawlers, writing tool scripts...
First you need to understand the advanced features of Python, such as iterators, generators, decorators, etc., to understand class and object-oriented concepts. Going further, you can explore Python's implementation principles. Python's performance optimization, jumping out of the Python language itself, and understanding the principles of computer interaction have a long way to go, but not everyone needs this process.
However, these high-profile housing developments are also an important condition for your rooting in this field. This process is necessary for those who are determined to take technical direction. This time you will go to the application level, and you will have a deeper understanding.
To sum up, learn Python, the most common pit has these:
1. It is difficult to find suitable and high-quality learning resources, it is difficult to start, or just find some materials to start learning, it is very easy to get from start to give up;
2. I don't know how to find a solution to the problem. Even the problem is unclear. I often get stuck with some minor problems. The efficiency of learning is not high.
3. In the theoretical study can not extricate themselves, after learning for a long time, found that still do not know how to apply in the actual project, the lack of ability to solve problems;
4. Seeing someone else's case feels like it's the right thing to do, but it's still very difficult to write code yourself, and you can't train programming thinking.
..................
If you successfully cross these pits, then congratulations, you have become a qualified Pythoner!
Ring And Fork Type Insulated Terminals
Ring And Fork Type Insulated Terminals,High quality insulated terminal,copper tube terminal
Taixing Longyi Terminals Co.,Ltd. , https://www.lycopperlugs.com