![]() And remember that “compiling” toĮxe files like that is not a security measure - your source code is stillĮasily recoverable. Run it on the destination operating system. There are tools for this - PyInstaller is the best one. Read more: Python distributions on Python Wiki Can I make. You can still do data science using the official distribution. I’ve seen bugs that were not reproducible outside of Anaconda. It’s provided by some random for-profit company. You waste disk space for packages Anaconda installs that you won’t ever need. Making the installation as simple as pip install numpy. Most packages have binary wheels for Windows, macOS and Linux (yes, Linux!) I personally recommend to avoid Anaconda: It’s popularįor data scientists, and includes over 100 packages, with extra pre-builtīinaries available from the conda package manager. The most popular third-party distribution is Anaconda from Continuum Analytics. Interpreter and add some extra packages/features. There are also Python (CPython) distributions. Read more: Python Implementations on Python Wiki Distributions It can run all pure Python code, and many PyPy is a fast implementation, written in a subset of Python. Most Python features are first implemented in CPython, and then they are This is the implementationĭistributed on and as part of many operating systems. Some of them are:ĬPython is the reference implementation. Language, an interpreter or compiler needs to be written. ImplementationsĪ programming language is an abstract construct. Python isīackwards-compatible within the major release, so Python 2.7 runs code It’s best to limit yourself to the latest Python 2 and 3 versions. You need to specify which interpreter to use when installing Their own pip and packages, and you can’t run Python 2 code in a Python 3 Note that multiple Python interpreters are completely separate: they have Read more: Python 2 or Python 3 on Python Wiki Can I run multiple Pythons on the same machine? ![]() Python 2 will go EOL and lose official support and updates in 2020. Time, using the same codebase (most libraries out there do that). You can easily write code that is compatible with Python 2 and 3 at the same ![]() Some features that made porting easier were added (back).īut what if you end up needing Python 2 later? No problem: you can learn theĭifferences in a short time, and with the help of a few libraries (eg. The early bugs were ironed out in the first few point releases, Most popular packages support Python 3, and many of them support both Pythons at Range), and completely remodelled strings (which are now Unicode byĭefault, and the interpreter behavior is stricter when the wrong type is used)įor new code, you should use Python 3. Original Python 2 function that ran code input by users is gone print()īecame a function many things that returned lists now are iterators - zip, Pythonģ, released in 2008, broke backwards compatibility: deprecated some badĬonstructs and libraries (eg. The Python community has undergone sort of a schism in recent years. Glossary and questions Python versions: 2 vs 3 Where to learn Python? Where to get help? Questions may stump new developers, or people wanting to use Python.Ĭan I run multiple Pythons on the same machine?Ĭan I make. What versions are there? What’s theĭifference between Python, CPython, Anaconda, PyPy? Those and many other (and experienced users) need to be careful. Setting up Python is usually simple, but there are some places where newcomers
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