1. Preface
Temporary files are usually used to save data that cannot be saved in memory, or to pass to data that must be read from the file. external program. Generally we will generate a unique file name in the /tmp directory, but creating temporary files safely is not that simple and needs to follow many rules. Never try to do this yourself, instead use library functions to do it. Also be careful to clean up temporary files.
The biggest problem caused by temporary files is that the file name can be predicted, allowing malicious users to predict the temporary file name and create soft links to hijack the temporary file.
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##2. Introduction to the tempfile module
The module generally used to create temporary files is tempfile. The commonly used functions of this module library are the following:- tempfile.mktemp # Unsafe, prohibited to use
- tempfile.mkstemp # Randomly create tmp files. The files created by default are in the /tmp directory. Of course, you can also specify (can use)
- tempfile.TemporaryFile # Create files in memory. The files will not be stored on the disk. After closing That is, delete (can be used)
- tempfile.NamedTemporaryFile(delete=True) When delete=True, the effect is the same as above. When it is False, it will be stored on the disk (can be used)
3. Example introduction
The following methods introduce safe and unsafe ways to create temporary files.3.1 Incorrect example:
Incorrect 1:
import os import tempfile # This will most certainly put you at risk tmp = os.path.join(tempfile.gettempdir(), filename) if not os.path.exists(tmp): with open(tmp, "w") file: file.write("defaults")
Incorrect 2:
import os import tempfile open(tempfile.mktemp(), "w")
Incorrect 3:
filename = "{}/{}.tmp".format(tempfile.gettempdir(), os.getpid()) open(filename, "w")
3.2 Correct example
Correct 1:
fd, path = tempfile.mkstemp() try: with os.fdopen(fd, 'w') as tmp: # do stuff with temp file tmp.write('stuff') finally: os.remove(path)
Correct 2:
# 句柄关闭,文件即删除 with tempfile.TemporaryFile() as tmp: # Do stuff with tmp tmp.write('stuff')
Correct 3:
tmp = tempfile.NamedTemporaryFile(delete=True) try: # do stuff with temp tmp.write('stuff') finally: tmp.close() # 文件关闭即删除
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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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