If you want Python programs to use external functions, the most direct way is to import packages. The core methods include: 1. Use the import module name to import the entire module, such as import math; 2. Use the import function of the from module to import specific content, such as from math import sqrt; 3. Use alias to simplify the code, such as import numpy as np; 4. If the module is not recognized, check the running environment, restart the IDE or manually add the path; 5. Customize the module to ensure the reasonable file structure and pay attention to avoid loop import problems.
If you want Python programs to use external functions, the most direct way is to import packages. The key is to figure out whether the module name and path you want to use are correct, and how to write the import statement.
Basic usage: Standard import method
The most common way is to use the import
keyword plus the module name. For example, if you want to use mathematical calculations to calculate related functions, you can write this:
import math
If only a part of these functions is needed, you can use from ... import ...
to introduce specific content:
from math import sqrt
The advantage of this method is that it is clear and clear, and you can see at a glance which modules and functions are used.
If the module name is too long or you want to simplify the code, you can add an alias:
import numpy as np
Note: Importing the entire module is suitable for situations where there are many functions; importing only the required parts can make the code lighter.
Package path problem: What should I do if the module cannot be found?
Sometimes you clearly have a library installed, but you report an error when running it says ModuleNotFoundError
. This is usually because the Python interpreter does not find the path to which the module is located.
Common Cases and Solutions:
Check whether it is running in the correct environment (especially when using a virtual environment)
Restart the IDE or terminal after installation using pip
Manually add paths (frequent use is not recommended, but temporary fixes are available):
import sys sys.path.append('/your/package/path')
If you are not sure which paths are currently identified, you can print them out and take a look:
import sys print(sys.path)
How to import custom modules?
In addition to third-party libraries and standard libraries, the .py
files you wrote yourself can also be imported as modules. For example, if you have an utils.py
file in the same directory, you can directly:
import utils
If the file is in a subdirectory, such as my_project/utils.py
, then make sure that there is a __init__.py
file in that directory (it can be not available in Python 3.3), and then import it like this:
from my_project import utils
Notes:
- The file structure should be reasonable to avoid excessive nesting
- It is not recommended to modify
__init__.py
frequently unless you want to do automatic loading. - Avoid loop import (A imports B, B imports A again), making errors prone
Basically that's it. At first, it may feel a bit confusing, but as long as you remember whether the module name is correct, whether the path is present, and whether the structure is reasonable, most of the problems can be solved.
The above is the detailed content of How to import packages?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

The difference between HashMap and Hashtable is mainly reflected in thread safety, null value support and performance. 1. In terms of thread safety, Hashtable is thread-safe, and its methods are mostly synchronous methods, while HashMap does not perform synchronization processing, which is not thread-safe; 2. In terms of null value support, HashMap allows one null key and multiple null values, while Hashtable does not allow null keys or values, otherwise a NullPointerException will be thrown; 3. In terms of performance, HashMap is more efficient because there is no synchronization mechanism, and Hashtable has a low locking performance for each operation. It is recommended to use ConcurrentHashMap instead.

Java uses wrapper classes because basic data types cannot directly participate in object-oriented operations, and object forms are often required in actual needs; 1. Collection classes can only store objects, such as Lists use automatic boxing to store numerical values; 2. Generics do not support basic types, and packaging classes must be used as type parameters; 3. Packaging classes can represent null values ??to distinguish unset or missing data; 4. Packaging classes provide practical methods such as string conversion to facilitate data parsing and processing, so in scenarios where these characteristics are needed, packaging classes are indispensable.

StaticmethodsininterfaceswereintroducedinJava8toallowutilityfunctionswithintheinterfaceitself.BeforeJava8,suchfunctionsrequiredseparatehelperclasses,leadingtodisorganizedcode.Now,staticmethodsprovidethreekeybenefits:1)theyenableutilitymethodsdirectly

The JIT compiler optimizes code through four methods: method inline, hot spot detection and compilation, type speculation and devirtualization, and redundant operation elimination. 1. Method inline reduces call overhead and inserts frequently called small methods directly into the call; 2. Hot spot detection and high-frequency code execution and centrally optimize it to save resources; 3. Type speculation collects runtime type information to achieve devirtualization calls, improving efficiency; 4. Redundant operations eliminate useless calculations and inspections based on operational data deletion, enhancing performance.

Instance initialization blocks are used in Java to run initialization logic when creating objects, which are executed before the constructor. It is suitable for scenarios where multiple constructors share initialization code, complex field initialization, or anonymous class initialization scenarios. Unlike static initialization blocks, it is executed every time it is instantiated, while static initialization blocks only run once when the class is loaded.

InJava,thefinalkeywordpreventsavariable’svaluefrombeingchangedafterassignment,butitsbehaviordiffersforprimitivesandobjectreferences.Forprimitivevariables,finalmakesthevalueconstant,asinfinalintMAX_SPEED=100;wherereassignmentcausesanerror.Forobjectref

Factory mode is used to encapsulate object creation logic, making the code more flexible, easy to maintain, and loosely coupled. The core answer is: by centrally managing object creation logic, hiding implementation details, and supporting the creation of multiple related objects. The specific description is as follows: the factory mode handes object creation to a special factory class or method for processing, avoiding the use of newClass() directly; it is suitable for scenarios where multiple types of related objects are created, creation logic may change, and implementation details need to be hidden; for example, in the payment processor, Stripe, PayPal and other instances are created through factories; its implementation includes the object returned by the factory class based on input parameters, and all objects realize a common interface; common variants include simple factories, factory methods and abstract factories, which are suitable for different complexities.

There are two types of conversion: implicit and explicit. 1. Implicit conversion occurs automatically, such as converting int to double; 2. Explicit conversion requires manual operation, such as using (int)myDouble. A case where type conversion is required includes processing user input, mathematical operations, or passing different types of values ??between functions. Issues that need to be noted are: turning floating-point numbers into integers will truncate the fractional part, turning large types into small types may lead to data loss, and some languages ??do not allow direct conversion of specific types. A proper understanding of language conversion rules helps avoid errors.
