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What are the key differences between Python 2 and Python 3?

PrintisafunctionrequiringparenthesesinPython3,enablingflexibleoutputwithkeywordarguments.2.Python3usesUnicodebydefaultandclearlyseparatesstrings(str)frombytes,improvingtexthandling.3.DivisionofintegersinPython3returnsafloat(truedivision),whilefloordi

Aug 03, 2025 pm 01:14 PM

How to use Plotly for creating interactive charts and dashboards in Python?

PlotlyisaflexiblePythonlibraryforcreatinginteractivechartsanddashboards.1.Installitviapipinstallplotlyandimportmoduleslikeplotly.expressforquickcharts,graph_objectsforcustomization,andmake_subplotsformulti-chartlayouts.2.Useplotly.expresstocreateinte

Aug 03, 2025 pm 01:05 PM

What is the difference between a daemon thread and a non-daemon thread in Python?

ThekeydifferenceisthatPythonwaitsfornon-daemonthreadstofinishbeforeexiting,butterminatesdaemonthreadsimmediatelywhenthemainthreadends.1)Non-daemonthreads(default)ensuretaskscompletebeforeprogramexit,usedforcriticaloperationslikesavingdataorclosingcon

Aug 03, 2025 pm 12:59 PM

Python线程守护线程

Survival Analysis with Python

Survival analysis is used to study the time of events, and is commonly implemented in Python using lifelines and scikit-survival. 1. Install the lifelines library and prepare data containing time and event status; 2. Use the Kaplan-Meier estimator to draw the survival curve to visualize the probability that the event does not occur; 3. Analyze the impact of variables on event time through the Cox proportional hazards model and check the model assumptions; 4. Pay attention to the processing of censored data to ensure that the event column correctly marks censored and event occurrences.

Aug 03, 2025 pm 12:58 PM

Python生存分析

How to use dataclasses with inheritance in Python?

Dataclassessupportinheritance,allowingchildclassestoextendfieldsfromparentdataclasses.2.Inheritedfieldsappearfirstininit__,andnon-defaultfieldsmustprecededefaultonestoavoiderrors.3.Wheninheritingfromnon-dataclassparents,theirattributesaren’tauto-incl

Aug 03, 2025 pm 12:29 PM

How to implement a FizzBuzz solution in Python?

TheFizzBuzzproblemrequiresprintingnumbersfrom1to100with"Fizz"formultiplesof3,"Buzz"formultiplesof5,and"FizzBuzz"formultiplesofboth.1.Useaforloopfrom1to100.2.Checkifanumberisdivisibleby15(leastcommonmultipleof3and5)andpri

Aug 03, 2025 pm 12:28 PM

What are the best practices for handling exceptions in Python?

BespecificwhencatchingexceptionsbytargetingonlyexpectedtypeslikeValueErrororFileNotFoundErrorinsteadofusingbareexceptclauses.2.Usefinallyblocksforcleanuporprefercontextmanagerslikewithtoautomaticallyhandleresourcerelease.3.Useelseintry-exceptblocksto

Aug 03, 2025 pm 12:23 PM

How to check the data type of a variable in Python?

TocheckthedatatypeofavariableinPython,usethetype()functionorisinstance()function;1.Usetype(variable)togettheexacttypeofthevariable,suchas;2.Usetype(variable).__name__toobtainthetypeasastring,like'int'or'str';3.Useisinstance(variable,Type)forcondition

Aug 03, 2025 pm 12:17 PM

python pandas merge dataframes example

pandas.merge() is used to merge DataFrame, 1. The inner connection only retains common key values; 2. The left connection retains all rows in the left table, and if there is no match for the right table, NaN will be supplemented; 3. The right connection retains all rows in the right table, and if there is no match for the left table, NaN will be supplemented; 4. The outer connection retains all key values, and if there is no match for the missing ones, NaN will be supplemented; multiple column merging, connections with different column names and column names can also be realized through parameters such as on, left_on and right_on, and suffixes. The complete mastery of merge operations will help to efficiently complete data cleaning and analysis tasks.

Aug 03, 2025 am 11:49 AM

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What are some useful Python libraries for data science?

Pandasisessentialfordatamanipulationandanalysis,offeringDataFramesforstructureddatahandling,missingdatamanagement,merging,grouping,reshaping,andtimeseriesanalysis.2.NumPyunderpinsnumericalcomputingwithefficientmulti-dimensionalarraysandmathematicalop

Aug 03, 2025 am 11:47 AM

What is the role of the event loop in Python's asyncio library?

TheeventloopinPython'sasyncioisthecentralenginethatenablesasynchronousconcurrencybymanagingtasks,coroutines,andI/Ooperationsefficiently.1.Itschedulesandrunscoroutinesdefinedwithasyncdef,executingthemuntilcompletionbypausingandresumingatawaitpoints,as

Aug 03, 2025 am 11:46 AM

How to create an object from a class in Python?

TocreateanobjectfromaclassinPython,youcalltheclassasafunctionusingparentheses.1.Defineaclasswiththeclasskeyword,includinganinitmethodtoinitializeattributes.2.Createaninstancebycallingtheclasswithrequiredarguments,whichautomaticallyinvokesinittosetupt

Aug 03, 2025 am 11:45 AM

Python Collections.deque Example

collections.deque performs better than list when operating on both ends. 1. Use append()/appendleft() and pop()/popleft() to add or delete elements on the right/left side; 2. Set the maxlen parameter to implement a fixed-length queue, and the left element will automatically pop up when it exceeds; 3. Extend() is added in batches from the right side, extendleft() is added in batches from the left side but the element order is reversed; 4. The FIFO task queue can be implemented, and the tasks are processed through popleft(); 5. It can also be used as a LIFO stack, and the operation is applied through append() and pop(); rotate(n) can loop to move elements, and the positive number is rotated right,

Aug 03, 2025 am 11:29 AM

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How to add comments and docstrings to your Python code?

Use#forcommentstoexplainthe"why"behindcomplexlogic,notobviousactions.2.Writetriple-quoteddocstringsforfunctions,classes,andmodulestodescribepurpose,parameters,returns,andexamples.3.FollowconsistentstyleslikeGoogleorNumPyforreadabilityandtoo

Aug 03, 2025 am 11:23 AM