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python模块的name属性

https://segmentfault.com/a/1190000041893410

SegmentFault 思否

python模块的name属性

一个模块被另一个程序第一次引入时，其主程序将运行。1、如果想在模块被引入时，模块中的某一程序块不执行，可以用name属性来使该程序块仅在该模块自身运行时...

1 view03:50

开源 Python 发行版 Anaconda 适配苹果 M1 Mac

https://segmentfault.com/a/1190000041893260

SegmentFault 思否

开源 Python 发行版 Anaconda 适配苹果 M1 Mac

本月 Anaconda 发行版 2022.05 版本正式发布，根据官方介绍 2022.05 具有针对苹果 M1 的 ARM64 架构（计算速度提高 20%）、Anaconda Navigator 2.1.4、conda...

1 view03:50

Python常用标准库（pickle序列化和JSON序列化） - 小小垂髫

https://www.cnblogs.com/msr20666/p/16308669.html#at?hmsr=toutiao.io&utm_campaign=toutiao.io&utm_medium=toutiao.io&utm_source=toutiao.io

Python常用标准库（pickle序列化和JSON序列化） - 小小垂髫 - 博客园

常用的标准库序列化模块 import pickle 序列化和反序列化把不能直接存储的数据变得可存储，这个过程叫做序列化。把文件中的数据拿出来，回复称原来的数据类型，这个过程叫做反序列化。在文件中

1 view04:33

用python爬取“北邮家教部”公众号文章

https://juejin.cn/post/7101470609757962277

用python爬取“北邮家教部”公众号文章 - 掘金

前几天，鱼问我能不能爬取微信公众号“北邮家教部”的历史推送，分析一下其中最多的年级和科目。我之前还没有做过微信公众号的爬虫，于是去研究了一下，就有了这篇文章。

1 view04:33

4 Tools To Get into Data Science

https://jjdiamondreivich.medium.com/4-tools-to-get-into-data-science-c28c59535f84

4 Tools To Get into Data Science

1 view04:34

90个Numpy的有用的代码片段

https://segmentfault.com/a/1190000041893533

SegmentFault 思否

90个Numpy的有用的代码片段

这些有用的片段在面试中会经常出现，也可以作为日常的numpy练习。1、导入numpy {代码...} 2、打印numpy信息 {代码...} 3、创建空向量 {代码...} 4、获取numpy...

1 view04:34

Django Managers

https://medium.com/@bastian.vargas.videla/django-managers-af98d0c7875

Django Managers

¿Qué son los manager?

1 view05:53

Python List Comprehensions

https://medium.com/@sunilrana123/python-list-comprehensions-623479457598

Python List Comprehensions

List comprehension is a powerful python functionality within a single line of code. List comprehensions provide a concise way to create…

1 view05:53

TECH EYE

https://medium.com/@shubhambiswas_67655/tech-eye-e74d64247a1

Abstract — Everything in the fast-paced modern world is changing for the betterment of humanity. This is now a reality thanks to recent…

1 view06:34

Funciones útiles para pandas.DataFrame — De búsqueda y de eliminación

https://medium.com/@jtimana7/funciones-%C3%BAtiles-para-pandas-dataframe-de-b%C3%BAsqueda-y-de-eliminaci%C3%B3n-ee3f7a4e6211

Funciones útiles para pandas.DataFrame — De búsqueda y de eliminación

Esta va ser la primera de dos partes en las que se mostrarán diversas funciones que posee la librería de pandas. Aprender estas funciones…

1 view06:34

How to Create a Repl.it Template

https://shreya-chaudhary.medium.com/how-to-create-a-repl-it-template-d94d88fd6f5d

How to Create a Repl.it Template

A Step-by-Step Guide to Creating a “Hello World” pyTigerGraph Template on Repl.it

1 view06:35

What if Programming Language Could Ever Speak to Humans

https://javascript.plainenglish.io/what-if-programming-language-could-ever-speak-to-humans-a6132225f8b0

What if Programming Language Could Ever Speak to Humans

Funny Introductory statements from programming languages if they could ever speak with you

1 view06:35

The domain for the Python Requests library is expired

https://docs.python-requests.org/#at?hmsr=toutiao.io&utm_campaign=toutiao.io&utm_medium=toutiao.io&utm_source=toutiao.io

1 view07:15

Satellite Imagery Processing using Python — Creating a raster mosaic

https://medium.com/@the_geo/satellite-imagery-processing-using-python-creating-a-raster-mosaic-b194f371014d

Satellite Imagery Processing using Python — Creating a raster mosaic

What is Mosaicing in image processing?

1 view07:16

gRPC with Python and Unity

https://medium.com/@atiwat.deepo/grpc-with-python-and-unity-38280c330c7e

gRPC with Python and Unity

gRPC คือ open source Remote Procedure Call (RPC) framework สามารถเขียนได้ในหลายภาษา เช่น C#, C++, Dart, Go, Java, Kotlin, Node…

1 view08:36

Deploying a language model filter with no data using Humingbird

https://landongarrison.medium.com/deploying-a-language-model-filter-with-no-data-using-humingbird-7472c4e45f70

Deploying a language model filter with no data using Humingbird

Keep it PG for your users in the age of language models.

1 view08:36

Handling Missing data using Pandas

https://medium.com/@betaspyder/handling-missing-data-using-pandas-3ab22f87fa8a

Handling Missing data using Pandas

In this article, let’s understand how to handle missing data using pandas.

1 view08:36

The Blind 75 Leetcode Series: Maximum Subarray

https://jonathan-ck-chao.medium.com/the-blind-75-leetcode-series-maximum-subarray-e576794913e4

The Blind 75 Leetcode Series: Maximum Subarray

Today, we will be working on 53. Maximum Subarray.

1 view08:36

Satellite Imagery Analysis using Python — Importing Packages and Reading Satellite data

https://medium.com/@the_geo/satellite-imagery-analysis-using-python-importing-packages-and-reading-satellite-data-835edc3ed165

The Satellite Imagery Analysis using Python — Importing Packages and Reading Satellite data

To perform different operations on the data, we are going to use libraries such as EarthPy, RasterIO, Matplotlib, Plotly for Data…

1 view08:37

Satellite Imagery Analysis using Python — Soil Indices (SAVI and VARI)

https://medium.com/@the_geo/satellite-imagery-analysis-using-python-soil-indices-savi-and-vari-9526bf7201e1

Satellite Imagery Analysis using Python — Soil Indices (SAVI and VARI)

There is a large number of spectral indices that can analyze various aspects such as vegetation, water resources, snow, soil, fire, among…

1 view08:37