python vs anaconda
Share
1,111,111 TRP = 11,111 USD
1,111,111 TRP = 11,111 USD
1,111,111 TRP = 11,111 USD
Reset Your New Password Now!
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this memory should be reported.
Please briefly explain why you feel this user should be reported.
Python is a versatile, open-source programming language known for its simplicity and readability. It’s widely used for web development, data science, AI, and automation. Python’s strength lies in its vast ecosystem of libraries (e.g., NumPy, Pandas) and frameworks (e.g., Django, Flask).
Anaconda is a distribution of Python tailored for data science and machine learning. It bundles Python with pre-installed libraries (like SciPy, Jupyter) and tools (Conda for package management). Key differences:
Purpose:
Python: General-purpose coding.
Anaconda: Optimized for data-heavy tasks.
Package Management:
Python uses pip ; Anaconda uses conda , which handles non-Python dependencies better.
Ease of Setup:
Anaconda simplifies installation of data science tools; vanilla Python requires manual library setup.
Performance:
Both use the same Python core, but Anaconda’s pre-compiled libraries (e.g., MKL for NumPy) may offer speed boosts.
Size:
Anaconda (~3GB) is bulkier than minimal Python (~25MB).
Choose Python for lightweight projects or web development. Pick Anaconda for data science, as it reduces dependency conflicts. Both are free and cross-platform.