Why is 'Microsoft Visual C 14.0 is required' Error Appearing During pip Installation and How Can I Fix It?-Python Tutorial-php.cn

Home

Backend Development

Python Tutorial

Why is 'Microsoft Visual C 14.0 is required' Error Appearing During pip Installation and How Can I Fix It?

DDD

Dec 05, 2024 pm 06:14 PM

Why is

Pip Error: Microsoft Visual C 14.0 Required

Encountering the error message "Microsoft Visual C 14.0 is required" while attempting to install steem using pip can be frustrating. To address this issue, let's delve into the cause and the necessary steps to resolve it.

The error message indicates that your Python installation requires Microsoft Visual C 14.0 to complete the pycrypto installation. Pycrypto, a dependency for steem, relies on a compiler for building its C extensions.

Solution

To install Microsoft Visual C 14.0, follow these steps:

Navigate to https://wiki.python.org/moin/WindowsCompilers#Microsoft_Visual_C.2B-.2B-_14.2_standalone:_Build_Tools_for_Visual_Studio_2019_.28x86.2C_x64.2C_ARM.2C_ARM64.29
Click on the link to "Visual C 2015 Build Tools."
Download and install the build tools.

Alternate Solution

If you prefer not to install a compiler, you can consider the following alternate approach:

Download a binary version of pycrypto that is compatible with Python 3.x.
Ensure that the downloaded binary is trusted and has not been compromised.
Place the binary in a location where Python can find it.

Next Steps

Once Visual C 14.0 is installed or the binary has been placed, re-run the original command to install steem:

pip install -U steem

If you encounter any further issues, consider consulting the official pip documentation for additional troubleshooting steps.

The above is the detailed content of Why is 'Microsoft Visual C 14.0 is required' Error Appearing During pip Installation and How Can I Fix It?. For more information, please follow other related articles on the PHP Chinese website!

Statement

The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

Learn the Differences Between Python's 'for' and 'while' LoopsMay 08, 2025 am 12:11 AM

ThekeydifferencesbetweenPython's"for"and"while"loopsare:1)"For"loopsareidealforiteratingoversequencesorknowniterations,while2)"while"loopsarebetterforcontinuinguntilaconditionismetwithoutpredefinediterations.Un

Python concatenate lists with duplicatesMay 08, 2025 am 12:09 AM

In Python, you can connect lists and manage duplicate elements through a variety of methods: 1) Use operators or extend() to retain all duplicate elements; 2) Convert to sets and then return to lists to remove all duplicate elements, but the original order will be lost; 3) Use loops or list comprehensions to combine sets to remove duplicate elements and maintain the original order.

See all articles