大家好！我很荣幸能在今天和大家一起分享《步履不止：一部女性行走史》这本书。这本书通过介绍18世纪以来的十位热爱行走的女性行者，记录了女性行走的历史和心理变化。

可参考这篇文章：http://m.suzhou.bendibao.com/live/101799.shtm

2月份体检完，体检中心有打电话跟我说TCT异常，让我去医院进一步检查。

TCT是ThinPrep细胞学检查（ThinPrep Cytology Test）的简称，是一种常用的宫颈癌筛查方法。该检查利用刷子采集宫颈表面的细胞，并将其涂片制备后进行显微镜检查，以检测是否存在异常细胞。TCT检查通常用于早期发现宫颈癌前病变，以便进行及时治疗。TCT检查的结果会根据细胞的异常程度被分为多个等级，例如NILM（阴性细胞学结果）、ASC-US（炎症细胞）、LSIL（低度鳞状上皮内病变）和HSIL（高度鳞状上皮内病变）等等。如果TCT结果显示异常细胞，可能需要进一步进行活检或其他检查以确诊是否存在宫颈癌或其它疾病。

理论考试：

理论考试时间是早上8点半到10点五分。其中开始五分钟是实操的简答题，一般是工作日志填写或工作区域清洁保养流程。（20分） 理论考试由80道选择题（80分）和20道判断题（20分），培训老师会给题库，题库看个两遍就差不多了。大部分人在20分钟左右就做完。

为什么要养龟背竹？

1. 好养：去年上海封城期间，其他植物都死了，龟背竹虽然疏于照顾，但也活得好好的。
2. 好看：是否好看是主观上的想法，但龟背竹作为多年的网红植物，还是有一定实力的。
3. grow fast：基本十天半个月就会长一片新叶，每天看看都有新变化。
4. 少虫害：种过月季的都懂，红蜘蛛真是噩梦。

install

git clone https://github.com/pjreddie/darknet.git
cd darknet
make

如果需要支持gpu。make前修改Makefile中GPU=1和CUDNN=1。

写在最前面：克罗地亚签证办好后，酒店和飞机是不能更改的，否则会被收回签证，拒绝入境。

Just for reminding.

pickle

The easiest way is to use pickle, it can support all kinds of data formats, list & dict.

import pickle
test = [1, 2, 3, 4]
# write
with open('test.txt', 'wb') as fp:
    pickle.dump(test, fp)
# read
with open('test.txt', 'rb') as fp:
    read_test = pickle.load(fp)
print(read_test)
# [1, 2, 3, 4]

The problem with pickle is that the output file needs to be opened in binary mode. The following code will output an error. So the file is not readable using text edit tool.

with open('test.txt', 'w') as fp:
    pickle.dump(test, fp)

json

While, the json library can do the same work with readable output file.

import json
data = {"a": 1, "b": 2, "c": 3}
# write
with open('test.txt', 'w') as fp:
    json.dump(data, fp)
# read
with open('test.txt', 'r') as fp:
    data = json.load(fp)
print(data)
# {'a': 1, 'b': 2, 'c': 3}

Recently, I am reading <What Are You Looking At?: 150 Years of Modern Art in the Blink of an Eye>. It’s an interesting book. However, most of the paintings mentioned in the book are not given. I spent a lot of time searching and finding good quality photos. I upload my results to this album. Wish others can save time and have a more enjoyable reading experience.

1. The Photo.Net dataset and The DPChallenge dataset The Photo.Net dataset contains 20,278 images with at least 10 scores ratings per image. The rating ranges from 0 to 7. The DPChallenge dataset contains 16,509 images in total and has been later replaced by the AVA dataset. You can find some useful information in this website.

记得当时是周四交的申请材料，周一接到查询的电话，大概询问了我跟被邀请人之间的关系以及这次去冰岛干什么。两天后就拿到寄回的签证啦。

Here is a small gift sent by Google Developer days.