PyCharm/Anaconda-Python开发的利器

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1、为什么选择PyCharm/Anaconda?

大浪淘沙,python发展到现在,由于其代码简洁,可读性好,开发效率高且易学等众多优点,已经成了各大公司的标配开发语言。那么“工欲善其事,必先利其器”,选择一款趁手好用的IDE成为提升我们工作效率的重要部分。Anaconda是一个基于Python的数据处理和科学计算平台,它内置了非常多的第三方库,安装了Anaconda,就相当于安装了python和一些numpy,pandas,matplotlib等一系列常用的第三方库,另外jupyter notebook也非常适合。当然Miniconda可以认为是Anaconda的纯净版,Miniconda并不会内置numpy和pandas等第三方库,只保留了Anaconda中的python和conda。PyCharm是由JetBrains打造的一款IDE,十分强大,而且JetBrains旗下的IDE风格都很像,如果使用IDEA做java或者scala开发再用PyCharm做python开发,过度会很自然。

2、下载安装PyCharm

官方链接(2018专业版):https://www.jetbrains.com/pycharm/download/#section=windows 


安装PyCharm

设置PyCharm的配置参数

完成安装

下载补丁链接:https://pan.baidu.com/s/1ekEw_QE5thMYoFw2BGyEeA    

首先检查目录C:\Windows\System32\drivers\etc下hosts文件是否包含 account.jetbrains.com如果存在则去掉。然后将下载好的补丁文件jetbrains-agent.jar放到PyCharm 2018.3.3的bin目录下,默认安装位置为:C:\Program Files\JetBrains\PyCharm 2018.3.3


修改相应的配置文件

修改hosts文件,新加0.0.0.0 account.jetbrains.com  和 0.0.0.0 www.jetbrains.com

打开PyCharm,输入激活码(激活码2020年3月11日过期):

56ZS5PQ1RF-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-SYSsDcgL1WJmHnsiGaHUWbaZLPIe2oI3QiIneDtaIbh/SZOqu63G7RGudSjf3ssPb1zxroMti/bK9II1ugHz/nTjw31Uah7D0HqeaCO7Zc0q9BeHysiWmBZ+8bABs5vr25GgIa5pO7CJhL7RitXQbWpAajrMBAeZ2En3wCgNwT6D6hNmiMlhXsWgwkw2OKnyHZ2dl8yEL+oV5SW14t7bdjYGKQrYjSd4+2zc4FnaX88yLnGNO9B3U6G+BuM37pxS5MjHrkHqMTK8W3I66mIj6IB6dYXD5nvKKO1OZREBAr6LV0BqRYSbuJKFhZ8nd6YDG20GvW6leimv0rHVBFmA0w==-MIIElTCCAn2gAwIBAgIBCTANBgkqhkiG9w0BAQsFADAYMRYwFAYDVQQDDA1KZXRQcm9maWxlIENBMB4XDTE4MTEwMTEyMjk0NloXDTIwMTEwMjEyMjk0NlowaDELMAkGA1UEBhMCQ1oxDjAMBgNVBAgMBU51c2xlMQ8wDQYDVQQHDAZQcmFndWUxGTAXBgNVBAoMEEpldEJyYWlucyBzLnIuby4xHTAbBgNVBAMMFHByb2QzeS1mcm9tLTIwMTgxMTAxMIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxcQkq+zdxlR2mmRYBPzGbUNdMN6OaXiXzxIWtMEkrJMO/5oUfQJbLLuMSMK0QHFmaI37WShyxZcfRCidwXjot4zmNBKnlyHodDij/78TmVqFl8nOeD5+07B8VEaIu7c3E1N+e1doC6wht4I4+IEmtsPAdoaj5WCQVQbrI8KeT8M9VcBIWX7fD0fhexfg3ZRt0xqwMcXGNp3DdJHiO0rCdU+Itv7EmtnSVq9jBG1usMSFvMowR25mju2JcPFp1+I4ZI+FqgR8gyG8oiNDyNEoAbsR3lOpI7grUYSvkB/xVy/VoklPCK2h0f0GJxFjnye8NT1PAywoyl7RmiAVRE/EKwIDAQABo4GZMIGWMAkGA1UdEwQCMAAwHQYDVR0OBBYEFGEpG9oZGcfLMGNBkY7SgHiMGgTcMEgGA1UdIwRBMD+AFKOetkhnQhI2Qb1t4Lm0oFKLl/GzoRykGjAYMRYwFAYDVQQDDA1KZXRQcm9maWxlIENBggkA0myxg7KDeeEwEwYDVR0lBAwwCgYIKwYBBQUHAwEwCwYDVR0PBAQDAgWgMA0GCSqGSIb3DQEBCwUAA4ICAQAF8uc+YJOHHwOFcPzmbjcxNDuGoOUIP+2h1R75Lecswb7ru2LWWSUMtXVKQzChLNPn/72W0k+oI056tgiwuG7M49LXp4zQVlQnFmWU1wwGvVhq5R63Rpjx1zjGUhcXgayu7+9zMUW596Lbomsg8qVve6euqsrFicYkIIuUu4zYPndJwfe0YkS5nY72SHnNdbPhEnN8wcB2Kz+OIG0lih3yz5EqFhld03bGp222ZQCIghCTVL6QBNadGsiN/lWLl4JdR3lJkZzlpFdiHijoVRdWeSWqM4y0t23c92HXKrgppoSV18XMxrWVdoSM3nuMHwxGhFyde05OdDtLpCv+jlWf5REAHHA201pAU6bJSZINyHDUTB+Beo28rRXSwSh3OUIvYwKNVeoBY+KwOJ7WnuTCUq1meE6GkKc4D/cXmgpOyW/1SmBz3XjVIi/zprZ0zf3qH5mkphtg6ksjKgKjmx1cXfZAAX6wcDBNaCL+Ortep1Dh8xDUbqbBVNBL4jbiL3i3xsfNiyJgaZ5sX7i8tmStEpLbPwvHcByuf59qJhV/bZOl8KqJBETCDJcY6O2aqhTUy+9x93ThKs1GKrRPePrWPluud7ttlgtRveit/pcBrnQcXOl1rHq7ByB8CFAxNotRUYL9IF5n3wJOgkPojMy6jetQA5Ogc8Sm7RG6vg1yow==


新建python项目

2、下载安装Anaconda(Miniconda)

Miniconda官方链接:https://docs.conda.io/en/latest/miniconda.html

Anaconda与Miniconda的区别在标题1中已经提过,这里以在linux环境下安装Miniconda为例介绍:


下载linux64位的Miniconda

得到一个Miniconda3-latest-Linux-x86_64.sh文件,我们将这个文件用XShell6工具通过 rz -be命令上传到linux服务器上,然后只需要 sh Miniconda3-latest-Linux-x86_64.sh 即可完成安装。


显卡配置信息

由于服务器的配置显著好于桌面电脑,而Miniconda和Anaconda主要用在数据科学计算上,所以,通常的做法是将Miniconda部署到服务器上,并在Miniconda上安装jupyter notebook,用本地电脑的浏览器打开服务器上的jupyter notebook进行相关的交互计算。

conda create –name learning python=3.6  #用Miniconda创建一个虚拟环境

source activate learning   #激活learning环境(windows用户可以省略source)

source deactivate learning  #退出learning环境(windows用户可以省略source)

https://www.jianshu.com/p/577311a100bc

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