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  • How to Change Timestamp From Yyyy-Dd-Mm to Yyyy-Mm-Dd In Pandas? preview
    3 min read
    To change the timestamp format from yyyy-dd-mm to yyyy-mm-dd in pandas, you can use the pd.to_datetime() function to convert the timestamp column to datetime format. Then, you can use the dt.strftime() function to specify the desired date format ("%Y-%m-%d") and apply it to the datetime column. This will change the timestamp format from yyyy-dd-mm to yyyy-mm-dd in pandas.

  • How to Run Two Command Simultaneously In Powershell? preview
    3 min read
    To run two commands simultaneously in PowerShell, you can use the Start-Process cmdlet with the -NoNewWindow parameter. This allows you to run both commands in separate windows without waiting for the first command to finish before starting the next one. Here's an example of how you can do this: Start-Process -NoNewWindow cmd.exe "/c command1" Start-Process -NoNewWindow cmd.

  • How to Process 50 Million Rows Fast In Pandas? preview
    4 min read
    To process 50 million rows quickly in pandas, it is important to optimize your code and use efficient techniques. One approach is to use vectorized operations instead of looping through each row individually, as this can significantly improve performance. Additionally, consider using the built-in functions in pandas, such as groupby, apply, and agg, as they are optimized for speed.Another tip is to avoid unnecessary operations and only select the columns that you need for analysis.

  • How to Sort A Multi Dimensional Array In Powershell? preview
    5 min read
    To sort a multi dimensional array in PowerShell, you can use the Sort-Object cmdlet with the -Property parameter. This parameter allows you to specify which property or properties to sort the array by. You can also use the -Descending parameter to sort the array in descending order. Additionally, you can use the .Sort() method on the array to sort it in place. Sorting a multi-dimensional array in PowerShell allows you to organize your data in a way that makes it easier to work with and analyze.

  • How to Search Specific Word In Csv File With Pandas? preview
    4 min read
    To search for a specific word in a CSV file using pandas, you can read the CSV file into a pandas dataframe using the read_csv() function. Once the data is loaded into the dataframe, you can use the str.contains() method to search for the specific word in a particular column or across all columns. This method will return a boolean series indicating whether the word is present in each cell.

  • How to Properly Export Xml to File Using Powershell? preview
    4 min read
    To properly export XML to a file using PowerShell, you can use the Export-Clixml cmdlet. This cmdlet allows you to export objects to an XML file in a format that can be easily imported back into PowerShell.To export XML to a file, you can use the following command: $object | Export-Clixml -Path "C:\path\to\output.xml"Replace $object with the object you want to export to XML and "C:\path\to\output.xml" with the path where you want to save the XML file.

  • How to Create A Data Frame From Two Pandas Series? preview
    2 min read
    To create a DataFrame from two Pandas Series, you can simply pass the Series objects as a dictionary to the DataFrame constructor. For example, if you have two Series called 's1' and 's2', you can create a DataFrame like this: import pandas as pd # Create two Series objects s1 = pd.Series([1, 2, 3, 4, 5]) s2 = pd.Series(['a', 'b', 'c', 'd', 'e']) # Create a DataFrame from the two Series df = pd.

  • How to Start And Stop Processes In Powershell? preview
    2 min read
    To start a process in PowerShell, you can use the Start-Process cmdlet followed by the path to the executable file you want to run. For example, to start Notepad, you would use the command Start-Process "notepad.exe".To stop a process in PowerShell, you can use the Stop-Process cmdlet followed by either the process ID or the name of the process. For example, to stop Notepad, you can use the command Stop-Process -Name "notepad".

  • How to Split/Sort the Dataframe Into Multiple Ones In Pandas? preview
    6 min read
    To split and sort a dataframe into multiple ones in pandas, you can use the groupby function along with the sort_values function. First, you can group the dataframe by a specific column or multiple columns using the groupby function. Then, you can use the sort_values function to sort the data within each group based on a specified column. This will allow you to split the dataframe into multiple smaller dataframes based on the grouped criteria and have them sorted accordingly.

  • How to Properly Set Path In Powershell And 7Zip? preview
    5 min read
    To properly set the path in PowerShell and 7zip, you need to first locate the directory where the 7zip executable file is stored on your computer. Once you have found the location, you will need to add this directory to the system's PATH environment variable.In PowerShell, you can do this by using the following command: $env:Path += ";C:\Path\To\7zip"Replace "C:\Path\To\7zip" with the actual path where the 7zip executable file is located on your computer.

  • How to Define A Pandas Column As A List? preview
    3 min read
    To define a pandas column as a list, you can simply convert the column to a list using the .tolist() method. This will create a list containing all the values in the column. You can then assign this list to a new variable, or use it as needed in your data analysis or manipulation tasks.[rating:b1c44d88-9206-437e-9aff-ba3e2c424e8f]What is the purpose of converting a pandas column to a list.

  • How to Get the Process Start Time In Powershell? preview
    3 min read
    To get the process start time in PowerShell, you can use the Get-Process cmdlet along with the StartTime property. By running the command "Get-Process -Name processname | Select-Object StartTime", you can retrieve the start time of a specific process. This will display the exact date and time when the process was initiated. You can also use this method to get the start time of all running processes by simply omitting the process name parameter.