I was bored and came across a post about reading and writing csv files. As a newbie in testing, I have always been fond of python. On a whim, I decided to play with it and share it with those who need it. Bai, for the python masters, it is simply childish. For a testing novice like me, seeing the code is like getting a shot of chicken blood. Well, good stuff, good stuff!
Writing of csv files: (Recommended learning: Python video tutorial)
stu1 = ['marry',26] stu2 = ['bob',23]
Writing The first step is also to open the file. Because we want to write, the mode we use is the 'a' mode to append content. As for "newline=", it means that because of the type of our csv file, if we do not add this , when we write something, a blank line will appear. You can try this without adding it, or you can "Old Turtle's Butt" (regulation)
out = open('Stu_csv.csv','a', newline='')
Let's define a variable below. Write, pass in the file variable just now, dialect is to define the type of the file, we define it as excel type
csv_write = csv.writer(out,dialect='excel')
and then write the data, blah blah blah, it is finally over, write The method is writerow. By writing the mode object, calling the method to write
csv_write.writerow(stu1) csv_write.writerow(stu2)
Finally, all newbies can use the syntax you are most familiar with to finish beautifully, 66666
print ("write over")
More For Python related technical articles, please visit the Python Tutorial column to learn!
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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