join(user_agent)) # 创建一个浏览器驱动 driver = webdriver.Chrome(options=chrome_options) driver.maximize_window() # 浏览器最大化 # driver.get("https://limaofu.github.io") # element = driver.find_element(by=By "D:\\tmp\\test.png" driver.save_screenshot(img_path) # driver.fullscreen_window() # 浏览器全屏化（即不显示系 统状态栏），maximize_window时仍显示系统状态栏 # element = driver.find_element(By.ID, 'su') # img_path = "D:\\tmp\\test import Image, ImageTk import cv2 def test_tk(): window = tkinter.Tk() window.title("pillow") # 创建一个 Tkinter 界面 canvas = tkinter.Canvas(window, width=640, height=480) canvas.pack() cap

Getting random records Paginating records Counting records Aggregating records Retrieving Scalar Values Window functions Retrieving row tuples / dictionaries / namedtuples Returning Clause Common Table Expressions (30000, 50000) Window functions A Window function refers to an aggregate function that operates on a sliding window of data that is being processed as part of a SELECT query. Window functions make it row value to a value in the preceding (or succeeding!) row(s). peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing in your partitioning or ordering

50000) 1.7.16 Window functions A Window function refers to an aggregate function that operates on a sliding window of data that is being processed as part of a SELECT query. Window functions make it row value to a value in the preceding (or succeeding!) row(s). peewee comes with support for SQL window functions, which can be created by calling Function.over() and passing in your partitioning or ordering the counter field (1, 2, and 3). We can do this by calculating the AVG() of the value column over a window that is partitioned depending on the counter field: query = Sample.select( Sample.counter, Sample

supported value is DEFLATED. The wbits argument controls the size of the history buffer (or the “window size”) used when compressing data, and whether a header and trailer is included in the output. It = 32 + (8 至 15)：使用后 4 个比特位作为窗口大小以二为底的对数，并且自动接受 zlib 或 gzip 格式。 When decompressing a stream, the window size must not be smaller than the size originally used to compress the stream; using a too-small may result in an error exception. The default wbits value is 15, which corresponds to the largest window size and requires a zlib header and trailer to be included. bufsize is the initial size of the buffer

supported value is DEFLATED. The wbits argument controls the size of the history buffer (or the “window size”) used when compressing data, and whether a header and trailer is included in the output. It = 32 + (8 至 15)：使用后 4 个比特位作为窗口大小以二为底的对数，并且自动接受 zlib 或 gzip 格式。 When decompressing a stream, the window size must not be smaller than the size originally used to compress the stream; using a too-small may result in an error exception. The default wbits value is 15, which corresponds to the largest window size and requires a zlib header and trailer to be included. bufsize is the initial size of the buffer

supported value is DEFLATED. The wbits argument controls the size of the history buffer (or the “window size”) used when compressing data, and whether a header and trailer is included in the output. It = 32 + (8 至 15)：使用后 4 个比特位作为窗口大小以二为底的对数，并且自动接受 zlib 或 gzip 格式。 When decompressing a stream, the window size must not be smaller than the size originally used to compress the stream; using a too-small may result in an error exception. The default wbits value is 15, which corresponds to the largest window size and requires a zlib header and trailer to be included. bufsize is the initial size of the buffer

manager that you use with command line commands at the Anaconda Prompt for Windows, or in a Terminal window for macOS or Linux. This 20-minute guide to getting started with conda lets you try out the major the Anaconda Prompt window. MacOS • Open Launchpad, then click the Terminal icon. On macOS, all commands below are typed into the Terminal window. Linux • Open a Terminal window. On Linux, all commands commands below are typed into the Terminal window. 1.3.4 Managing conda Verify that conda is installed and running on your system by typing: conda --version Conda displays the number of the version that

manager that you use with command line commands at the Anaconda Prompt for Windows, or in a Terminal window for macOS or Linux. This 20-minute guide to getting started with conda lets you try out the major the Anaconda Prompt window. MacOS • Open Launchpad, then click the Terminal icon. On macOS, all commands below are typed into the Terminal window. Linux • Open a Terminal window. On Linux, all commands commands below are typed into the Terminal window. 1.3.4 Managing conda Verify that conda is installed and running on your system by typing: conda --version Conda displays the number of the version that

Retrieving Scalar Values SQL Functions, Subqueries and “Raw expressions” Security and SQL Injection Window functions Retrieving raw tuples / dictionaries Returning Clause Query operators Three valued logic You can also find this parameter by checking Database.interpolation. Window functions peewee comes with basic support for SQL window functions, which can be created by calling fn.over() and passing in order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs [http://www.postgresql.org/docs/9.1/static/tutorial-window.html]. Retrieving raw tuples / dictionaries Sometimes

also find this parameter by checking Database.interpolation. 1.8.18 Window functions peewee comes with basic support for SQL window functions, which can be created by calling fn.over() and passing in name, Employee.salary, fn.rank().over( order_by=[Employee.salary]))) For general information on window functions, check out the postgresql docs. 1.8.19 Retrieving raw tuples / dictionaries Sometimes unordered_users = users.order_by() window(*windows) Parameters windows (Window) – One or more Window instances. Add one or more window definitions to this query. window = Window(partition_by=[fn.date_trunc('day'