Download all your kindle books script. pip3 install -r requirements.txt python no_kindle.py -e ${email} -p ${password} [...] Cli 安装使用 python3 requirements python3 --version # 查看 python 版本 pip3 install kindle_download # 使用 pip 安装 git clone https://github.com/yihong0618/Kindle_download_helper.git && cd Kindle_download_helper pip3 install -r requirements.txt python kindle.py -h # 查看使用参数 usage: kindle.py [-h] [--cookie COOKIE | --cookie-file COOKIE_FILE] [--cn] [--jp] [--de] [--uk] [--resume-from INDEX] [--cut-length CUT_LENGTH] [-o OUTDIR] [-od OUTDEDRMDIR] [-s SESSION_FILE] [--pdoc] [--resolve_duplicate_names] [--readme] [--dedrm] [--list] [--device_sn DEVICE_SN] [--mode MODE] [csrf_token] positional arguments: csrf_token amazon or amazon cn csrf token optional arguments: -h, --help show this help message and exit --cookie COOKIE amazon or amazon cn cookie --cookie-file COOKIE_FILE load cookie local file --cn if your account is an amazon.cn account --jp if your account is an amazon.co.jp account --de if your account is an amazon.de account --uk if your account is an amazon.co.uk account --resume-from INDEX resume from the index if download failed --cut-length CUT_LENGTH truncate the file name dwonload output dir -od OUTDEDRMDIR, --outdedrmdir OUTDEDRMDIR dwonload output dedrm dir -s SESSION_FILE, --session-file SESSION_FILE The reusable session dump file --pdoc to download personal documents or ebook --resolve_duplicate_names Resolve duplicate names files to download --readme If you want to generate kindle readme stats --dedrm If you want to dedrm directly --list just list books/pdoc, not to download --device_sn DEVICE_SN Download file for device with this serial number --mode MODE Mode of download, all : download all files at once, sel: download selected files 下载 kindle 书籍 [...] python3 kindle.py --cn ${csrfToken} # Both cookie and CSRF Token python3 kindle.py --cn --cookie ${cookie} ${csrfToken} 自动获取 cookie 如果你的运行环境是本机，项目可以使用 https://github.com/borisbabic/browser_cookie3 库自动从浏览器中获取 cookie。 使用 amazon.cn 登陆 amazon.cn 访问 https://www.amazon.cn/hz/mycd/myx#/home/content/booksAll/dateDsc/ 右键查看源码，搜索 csrfToken 复制后面的 value 执行 python3 kindle.py --cn 如果下载推送文件 python3 kindle.py --cn --pdoc 如果想直接 dedrm 解密 (不保证好用) python3 kindle.py --cn --pdoc --dedrm how to amazon.com login amazon.com visit https://www.amazon.com/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py if is doc file python3 kindle.py --pdoc how to amazon.de login amazon.de visit https://www.amazon.de/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py --de if is doc file python3 kindle.py --de --pdoc how to amazon.co.uk login amazon.co.uk visit https://www.amazon.co.uk/hz/mycd/myx#/home/content/booksAll/dateDsc/ right click this page source then find csrfToken value copy run: python3 kindle.py --uk if is doc file python3 kindle.py --uk --pdoc amazon.jp を使用する amazon.co.jp にログインする。

Powered by open source tech Built at Google to scale YouTube.com to billions of users, Vitess is the world’s most scalable open source database. [...] Our team wants to focus on helping our customers meet their health and fitness goals, not the database servers.” [...] Make your PlanetScale data accessible across your organization by safely extracting and loading data from PlanetScale into other databases, such as BigQuery, Snowflake, or Redshift. Extract data to other sources Supports analytical workflows

Claims free games periodically on This will run node epic-games; node prime-gaming; node gog - if you only want to claim games for one of the stores, you can override the default command by appending e.g. [...] Data (including json files with claimed games, codes to redeem, screenshots) is stored in the Docker volume fgc. [...] When running the first time, you have to login for each store you want to claim games on. [...] Claiming the Amazon Games works out-of-the-box, however, for games on external stores you need to either link your account or redeem a key.

Unified Model Serving Framework

🏹 Scalable with powerful performance optimizations

abstraction scales model inference separately from your custom code and multi-core CPU utilization with automatic provisioning [...]

We strip out as much potentially sensitive information as possible, and we will never collect user code, model data, model names, or stack traces.