Kezhi's Blog

Introduction to NLTK

NLTK is a leading platform for building Python programs that use human language data. It provides an easy-to-use interface for over 50 corpora and lexical resources (such as WordNet), as well as a text processing library for classification, tokenization, stemming, tagging, parsing, and semantic inference. NLTK is a famous natural language processing library on Python, which comes with its own corpus, part-of-speech tagging library, tokenization, and other functions.

社会中的自我

自我概念：我是谁

The Self in Society

Self-concept: Who am I

1. People often see themselves as the center of everything, overestimating how much others pay attention to us. This is known as the spotlight effect.
2. We are sensitive to changes in our emotions and believe that others also notice them clearly. However, the number of people who actually notice us is often fewer than we think. This is known as the transparency illusion.
3. Social environment influences self-perception, and our understanding of ourselves in different environments is influenced by the differences in those environments. For example, when abroad, we may identify ourselves as Chinese, but when in our home country, we may identify more with a specific region (e.g. being from Shaanxi or Xi'an).
4. Self-perception is often biased towards self-interest. When problems arise, people tend to blame others, while when achievements are made, people often feel that their contributions are underestimated.
5. We define ourselves in social relationships. Our behavior may vary when interacting with different people, and these variations help us understand and define our own roles.
6. Self-schemas play a significant role in our self-perception and information processing. They determine how we perceive, remember, and evaluate others and ourselves. For example, a professional athlete may pay particular attention to others' bodies and skills.
7. The self-reference effect leads us to have a stronger memory for things related to ourselves. Because we see ourselves as the center of the world, we tend to overestimate the extent to which events are directed towards us (we always believe that we are the central figure in accomplishing something).

Self-awareness

1. When explaining our own behavior, we tend to overestimate the role of our thoughts and consciousness while underestimating the influence of external factors. For example, people often believe that they are not influenced by the media and think that the media only affects others.
2. Others can often predict our behavior more accurately than we can predict it ourselves. This is because when making self-predictions, we tend to focus on prominent factors in the present and overlook important but unnoticed factors. This leads to errors in future expectations.
3. In negative events, we tend to exhibit impact bias, overestimating the lasting impact of the events and underestimating our own resilience. Moreover, significant negative events can trigger our psychological defense mechanisms, which may result in shorter durations of distress compared to minor emotional fluctuations.
4. One viewpoint suggests that our actual thinking process and our explanations of our thinking are two different things. For example, when asked to explain why they like a particular painting, participants who were required to provide reasons showed lower satisfaction with the painting several weeks later compared to those who did not provide attributions. This suggests that rational attributions of our mental processes can render our future predictions invalid, indicating that there are many aspects of our actual thinking process that cannot be captured when analyzing our own thoughts.

Self-control

1. Self-control is a depletable resource, similar to muscle strength. It becomes weaker after being used and recovers after rest, and it can be strengthened through continuous training. Self-control is limited, and when we expend a significant amount of energy on self-control in daily life (e.g. resisting food or suppressing thoughts), we may become powerless when facing challenges.
2. Self-efficacy, the optimistic belief in one's own abilities and efficiency, can lead to greater rewards. Individuals with high self-efficacy are more resilient and live healthier lives.
3. Locus of control refers to whether we believe that we control our own destiny (internal locus of control) or that external forces control it (external locus of control). Whether we feel that we have control over our destiny depends on how we interpret setbacks. Individuals with an internal locus of control tend to attribute failures to unexpected circumstances or the need to try new approaches. On the other hand, individuals with an external locus of control attribute failures to factors they believe they cannot control (e.g. attributing poor academic performance to being dumb or disliking the teacher).
4. Learned helplessness occurs when individuals feel that they have no control over their own actions or the actions of others, leading to a loss of control over events. In contrast, self-determination involves having some control over oneself and the environment. Learned helplessness often leads to increased stress, weakness, and rapid aging. Increasing self-control can enhance individual happiness and health. However, excessive freedom and self-determination can also lead to decreased life satisfaction and increased rates of depression. Having too many choices can leave individuals feeling overwhelmed.

Vue

与Flask一起使用时的注意事项

Vue与Flask一起使用时会出现冲突，更改配置即可解决。

• Flask

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if __name__ == '__main__':
    app.jinja_env.variable_start_string = '[['
    app.jinja_env.variable_end_string = ']]'
    app.run(debug=True)

• Vue

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new Vue({
    delimiters: ['[[',']]']
})

指令

JavaScript

Truthy（真值）和Falsy（虚值）

在 JavaScript 中，truthy（真值）指的是在布尔值上下文中，转换后的值为 true 的值。被定义为假值以外的任何值都为真值。（即所有除 false、0、-0、0n、""、null、undefined 和 NaN 以外的皆为真值）。

JavaScript 中的真值示例如下

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if (true)
if ({})
if ([])
if (42)
if ("0")
if ("false")
if (new Date())
if (-42)
if (12n)
if (3.14)
if (-3.14)
if (Infinity)
if (-Infinity)

JavaScript的逻辑与运算中，如果第一个操作数为真值，则逻辑与运算返回第二个操作数

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true && "dog"
// returns "dog"

[] && "dog"
// returns "dog"

falsy 值（虚值）是在 Boolean 上下文中认定为 false 的值。

JavaScript 在需要用到布尔类型值的上下文中使用强制类型转换 (Type Conversion ) 将值转换为布尔值，例如条件语句和循环语句。

在 JavaScript 中只有 8 个 falsy 值。

Vue

Notes on Using Vue with Flask

There may be conflicts when using Vue with Flask, but they can be resolved by changing the configuration.

• Flask

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if __name__ == '__main__':
    app.jinja_env.variable_start_string = '[['
    app.jinja_env.variable_end_string = ']]'
    app.run(debug=True)

• Vue

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new Vue({
    delimiters: ['[[',']]']
})

Directives

请求伪装

在爬取腾讯天气时，发现无法成功爬取到天气数据，经过尝试发现是请求头除了问题。爬虫在爬取网页时的默认请求头为：

这种默认的请求头在爬取很多网站时会被禁止，无法获取到网页数据，因此需要使用请求头伪装，让网站认为是浏览器在访问。操作步骤如下：

Request Spoofing

When crawling Tencent weather data, it was found that the weather data could not be successfully crawled. After some attempts, it was discovered that the issue lies in the request headers. The default request headers used by the spider when crawling web pages are:

This default request header may be blocked when crawling many websites, making it impossible to obtain web page data. Therefore, request header spoofing is needed to make the website think it is a browser accessing it. The operation steps are as follows:

简介

Bilibili（以下简称B站）中有大量的番剧版权，截止目前一共有3161部。每一部番剧都可以找到它的播放量，追番量，弹幕数量等播放数据，除此之外，每部番剧还有其相应的标签（如“漫画改”，“热血”，“搞笑”）。本项目旨在分析番剧播放数据与番剧标签之间的关系，同时也是一项数据分析的大作业，采用APriori频繁项集挖掘进行分析。

GitHub地址：https://github.com/KezhiAdore/BilibiliAnimeData_Analysis

码云地址：https://gitee.com/KezhiAdore/BilibiliAnimeData_Analysis

Introduction

Bilibili (referred to as B station) has a large number of anime copyrights, with a total of 3161 as of now. Each anime can be found with its play count, follow count, barrage count, and other playback data. In addition, each anime has its corresponding tags (such as "comic adaptation", "hot-blooded", "comedy"). This project aims to analyze the relationship between anime playback data and anime tags, and it is also a data analysis project that uses APriori frequent itemset mining for analysis.

GitHub address: https://github.com/KezhiAdore/BilibiliAnimeData_Analysis

Gitee address: https://gitee.com/KezhiAdore/BilibiliAnimeData_Analysis

GitHub地址：https://github.com/KezhiAdore/MultiRobots_CoverMap

码云地址：https://gitee.com/KezhiAdore/MultiRobots_CoverMap

一、问题提出

1. 背景

机器人在工业、国防和科学技术中的应用日益广泛， 它能够在枯燥和危险的复杂非结构化环境下工作。使用机器人大大提高了人们的工作效率， 改变了人们的生活方式， 带来了巨大的经济和社会效益， 有力地推动了有关学科和技术领域的发展。

区域覆盖是指携带有一定探测范围的传感器如激光、声纳等的机器人探索访问整个区域， 并完成相应任务的过程。区域覆盖是自主移动机器人的一项基本任务。