Docopt. Ditch optparse and argparse and use docstrings to build elegant, readable, and (if you need it) complex command line interfaces. IMO the best library created in 2013.
Requests, or HTTP as humans use it, is a more pythonic way of handling HTTP requests that is better and easier to use than urllib2. The reputation can be seen, he has been downloaded more than 5,000,000 times on PyPI :)
lxml is a combination of libxml2 and libxslt. If you are dealing with XML or HTML, lxml is your best choice.
Bottle is a fast, simple, lightweight WSGI micro web framework. Build small sites and APIs in seconds. All frameworks have only one py file, and you can even put it in any directory.
sh is a mature Python subprocess interface tool that allows you to run any program like a function. Super easy to use.
Structlog is an advanced logging processor. It integrates multiple existing logging tools, including the Python standard library. You can create plain loggers and add content as you wish, making your logs durable and readable.
Watchdog is a cross-platform Python library and shell tool that can monitor file system events. Super easy to use and easy to use.
Delorean can be a very convenient way for you to process data and time. Set time zones, truncate to seconds, minutes, hours, or even use special methods to iterate from one piece of data to another. Browse the documentation, there are many examples.
PEW. I discovered this project a month ago and already like it. PEW is a set of tools for managing multiple virtual environments and runs perfectly on bash, zsh, fish and powershell. Go try it.
antigravity. Run a Python shell (version >= 2.7) and enter import antigravity.

InPython,youappendelementstoalistusingtheappend()method.1)Useappend()forsingleelements:my_list.append(4).2)Useextend()or =formultipleelements:my_list.extend(another_list)ormy_list =[4,5,6].3)Useinsert()forspecificpositions:my_list.insert(1,5).Beaware

The methods to debug the shebang problem include: 1. Check the shebang line to make sure it is the first line of the script and there are no prefixed spaces; 2. Verify whether the interpreter path is correct; 3. Call the interpreter directly to run the script to isolate the shebang problem; 4. Use strace or trusts to track the system calls; 5. Check the impact of environment variables on shebang.

Pythonlistscanbemanipulatedusingseveralmethodstoremoveelements:1)Theremove()methodremovesthefirstoccurrenceofaspecifiedvalue.2)Thepop()methodremovesandreturnsanelementatagivenindex.3)Thedelstatementcanremoveanitemorslicebyindex.4)Listcomprehensionscr

Pythonlistscanstoreanydatatype,includingintegers,strings,floats,booleans,otherlists,anddictionaries.Thisversatilityallowsformixed-typelists,whichcanbemanagedeffectivelyusingtypechecks,typehints,andspecializedlibrarieslikenumpyforperformance.Documenti

Pythonlistssupportnumerousoperations:1)Addingelementswithappend(),extend(),andinsert().2)Removingitemsusingremove(),pop(),andclear().3)Accessingandmodifyingwithindexingandslicing.4)Searchingandsortingwithindex(),sort(),andreverse().5)Advancedoperatio

Create multi-dimensional arrays with NumPy can be achieved through the following steps: 1) Use the numpy.array() function to create an array, such as np.array([[1,2,3],[4,5,6]]) to create a 2D array; 2) Use np.zeros(), np.ones(), np.random.random() and other functions to create an array filled with specific values; 3) Understand the shape and size properties of the array to ensure that the length of the sub-array is consistent and avoid errors; 4) Use the np.reshape() function to change the shape of the array; 5) Pay attention to memory usage to ensure that the code is clear and efficient.

BroadcastinginNumPyisamethodtoperformoperationsonarraysofdifferentshapesbyautomaticallyaligningthem.Itsimplifiescode,enhancesreadability,andboostsperformance.Here'showitworks:1)Smallerarraysarepaddedwithonestomatchdimensions.2)Compatibledimensionsare

ForPythondatastorage,chooselistsforflexibilitywithmixeddatatypes,array.arrayformemory-efficienthomogeneousnumericaldata,andNumPyarraysforadvancednumericalcomputing.Listsareversatilebutlessefficientforlargenumericaldatasets;array.arrayoffersamiddlegro


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