Comments are pieces of text that live in your code but are ignored by the Python interpreter as it executes the code. You can use comments to describe the code so that you and other developers can quickly understand what the code does or why the code is written in a given way. To writ...
pandas is memory-based. It does a great job when the to-be-manipulated data can fit into the memory. It is inconvenient, even unable, to deal with big data, which can’t be wholly loaded into the memory. Large files, however, like those containing data imported from the databas...
line110,inload_backendreturnimport_module('%s.base'% backend_name)File"/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/importlib/__init__.py", line127,inimport_modulereturn_bootstrap._gcd_import(name[level:], package, level)File...
Why do I need to fix the ‘/usr/bin/python’ symlink before I can even do the install? Why am I still working with the old version of Python after installing a newer version? Why is the package I was working with before I upgraded now “not found?” In other cases, it’s not Py...
With Poetry, Python finally has a graceful way to manage virtual environments and dependencies for development projects. Here’s how to get started.
Here are some ways to highlight your Python expertise in the workplace: Optimise code performance. Try to identify areas in the code that need optimising through code review, monitoring resource utilisation, profiling and extensive testing. Then, you might use caching, memory, parallel and ...
Django supports all the protocols thatflupdoes, namelyfastcgi,SCGIandAJP1.3(the Apache JServ Protocol, version 1.3). Select your preferred protocol by using theprotocol=<protocol_name>option with./manage.pyrunfcgi– where<protocol_name>may be one of:fcgi(the default),scgiorajp. For example: ...
Python provides a rich set of tools for developing and debugging code, but errors can still occur during development or execution. Being able to track, analyze, and manage errors in real-time can help you proceed with more confidence. Rollbar automates error monitoring and triaging, makingfixin...
Multithreading and Python's global interpreter lock The global interpreter lock (GIL) in Python enables the interpreter to easily and safely manage memory, or Python objects. However, the GIL causes performance problems for certain types of applications, because it only allows one thread to execute...
Let's examine how you should create and manage your Python virtual environments with the various management tools available. How Virtual Environments Work When you create a virtual environment, you're instructing your machine to make an additional temporary copy of Python. That copy is independent ...