Name the environment “r-tutorial”. I'm new to Jupyter Notebooks. Write a table to CSV file python; save image from jupyter notebook; download csv file from jupyter notebook; write to csv pandas; how to import data from csv to jupyter notebook; pandas save dataframe to csv in python; write dataframe to csv python; save variable to use in other jupyter notebook The first way to load .csv files. Notice that we got the same results as those that were stored in the Excel file. export an excel table to image with python. jupyter matplotlib. Importing scripts into a notebook. Click New —> Python 3 menu item to create a new Jupyter notebook file (.ipynb file). read excel into dataframe python. Wait for the progress bar to finish for each file. Loading CSV file from S3 Bucket using Boto3. The current limit (set by the notebook server) is 25 MB. Introduction¶. When the button is clicked the file dialog pops up the user selects files and then can access that list of strings as an attribute/traitlet on the button instance. If the author is directly calling the file then it is in the same folder where the Jupyter Notebook is running. Display Audio MP3 File In Jupyter Notebook. Lets initialize our sparksession now. The following does not work either for a file that has been uploaded: df = pd.read_excel("TorontoPostcodes.xls") I need to unzip a zip file that the user would upload to the notebook, then process those files, and create some output files in a … Here is my selection of commands and sources that I use most often. A Jupyter kernel is a set of files that point Jupyter to some means of executing code within the notebook. This post will cover. Step 3: Run the Python code to import the Excel file. Let’s see that in action. In term of the script execution, the above file script is a .ipynb file where it runs in a jupyter notebook as in the following image : How to Read CSV File into a DataFrame using Pandas Library in Jupyter Notebook. Learn more about importing data using Pandas: Pandas Read CSV Tutorial; Pandas Read Excel Tutorial; Note, all the files we have read using read_dta, read_stata, read_csv, and read_excel can be found here and a Jupyter Notebook here. Python answers related to “how to import an excel file into jupyter notebook”. The code snippet below can be used to access the files and create a combined data frame from them. Python answers related to “load mat file in jupyter”. To start, we read the csv file and load its content into a Pandas data frame. Input below ipython code in the second cell … If you want a fancier look of the dataframe, you would want to use the Jupyter notebook to write and run your Python code. In Jupyter Notebook When working with Jupyter Notebook, you will find yourself needing to distribute your Notebook as something other than a Notebook file. df=pd.read_csv(“car.csv”) Data frame has been created and now we are free to work and infer the insights of the datasets that is imported. In this method, the file is also not downloaded into the notebook directly. Import the basic pandas library to import the datasets. Now, all you have to do is enter the url of your .csv file in the code. The config file ~/.jupyter/jupyter_notebook_config.py allows you to have JupyterLab automatically export notebooks as Python scripts each time you make changes. These files will now be on your JupyterHub, your home user’s home directory. load python file in jupyter notebook. 3)Connect to the engine. The WinPython distribution, that has data science libraries and the Jupyter Notebook App. You can see that we have copied code from above and used here in drive.CreateFile. Let’s say you’re in a hurry and want to quickly fetch some data from a database and make a bar chart. It’s not about you. Invoke Python Script File From Jupyter Notebook. import matlab python. save np array as mat file. This is how you can access s3 data into a sagemaker jupyter notebook without using any external libraries. Similarly, we can load Microsoft Excel files just as easily. Microsoft Azure SQL Database connection. Create a jupyter notebook file with the name InvokePythonScript.ipynb. The correct way to run them is to run them on a command prompt if you are in … Also, if you import the excel file into your Notebook space, do you have to prefix the file name somehow for the code the recognize it? There is a multitude of other resources, starting with Hunter’s work, to explore those topics. In this section, we will walk through the process of reading a CSV and adjusting the dataset to arrive at some conclusions about the data. In this article. Again, the function that you have to use is: read_csv () Type this to a new cell: pd.read_csv ('zoo.csv', delimiter = ',') And there you go! Step 4: Import data as Pandas DataFrame with read_csv. path = "copied path" df_bonus = pd.read_csv(path) Now, to read the file run the following code. Now, you are good to go and work on the data. They are executed in lexicographical order when IPython is launched. An even easier way in a Python notebook is to use FileLink: from IPython.display import FileLink FileLink(filename) how to read excel content in python. 1. The above is an image of a running Jupyter Notebook. Go to the File tab and click Open... 2. When I initially thought about trying to build a photo album using tags and other metadata that I’d curated in digiKam, the digikam4.db … Answer (1 of 2): By instructions I ment what is written in the README.md file of that GitHub repo. Paste the following code in an empty cell of the Jupyter Notebook, and then press SHIFT + ENTER to run the code. Use Python SQL scripts in SQL Notebooks of Azure Data Studio; SQL Notebook is a version or reference from the Jupyter notebook. To create a new notebook for the R language, in the Jupyter Notebook menu, select New, then select R. how to convert csv using python. ¶. There is more to life than a million rows - fact. import excel python. People typically create one repository per project. Click the “Upload” button to open the file chooser window. The csv file comes with all HDInsight Spark clusters. Choose the file you wish to upload. how to read excel file in jupyter notebook. If you are a data scientist and you are presenting to a technical audience you might prefer to present using your Jupyter notebook where you and provide some live demo of your … To start, here is a simple template that you may use to import a CSV file into Python: import pandas as pd df = pd.read_csv (r'Path where the CSV file is stored\File name.csv') print (df) Next, you’ll see an example with the steps needed to … To change the name of the file from the Jupyter Notebook dashboard, begin by checking the box next to the filename and selecting Rename.A new window will open in which … 3. import pandas as pd df = pd.read_excel (r'Path where the Excel file is stored\File name.xlsx', sheet_name='your Excel sheet name') print (df) xxxxxxxxxx. read mat file header python numpy. Importing a dataset and training models on the data in the Colab facilitate coding experience. 3. The Jupyter Notebook. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. To demonstrate, I’ll import matplotlib and make everything a bit bigger just for the sake of it, and then store a result of some SQL query to a variable. We can load a CSV file with no header. If you want to try it out as well, you can simply use how to load a csv file into a dataframe. attach excel file to jupyter notebook. Almost every notebook contains a pd.read_csv(file_path) or a similar command to load data. After import the datasets read the csv file. The next part of the code will download the file indicated by the file ID to your Jupyter Notebook folder. In [2]: spark = SparkSession \ .builder \ .appName("how to read csv file") \ .getOrCreate() Lets first check the spark version using spark.version. Dealing with file paths in notebooks, however, is kinda troublesome: moving notebooks around becomes a… These csv files are all the same format and say we want to create a data frame with all the data in it from the separate files. load python file in jupyter notebook Sehe A text file can be loaded in a notebook cell with the magic command %load.If you execute a cell containing: %load filename.py the content of filename.py will be loaded in the next cell.You can edit and execute it as usual. Important: make sure to click on “Raw” … Wait for the progress bar to finish for each file. To import the data from the CSV file, ... And, once you’re ready, you can use Jupyter to open the Python Notebook file attached to this tutorial. You can store files (notebooks, data, source code), look at historical changes to these files, open issues, discuss changes and much more. Next, you’ll learn about using external libraries to load the data. Load a CSV with no headers. A good first step is to open a Jupyter Notebook, type %lsmagic into a cell, and run the cell. A JupyterLab extension can also add new viewers/editors for files. import pandas as pd df = pd.read_excel('file_name.xlsx', 'Sheet1') df *you must import your .xlsx file into the Jupyter notebook file... *you may also import it into a Github repository and get the raw file then just copy and paste it into where it says 'file_name.xlsx' [raw file URL example][1] Getting started with the Jupyter notebook. Jupyter Notebooks is a great tool that is becoming more and more popular these days. 1/18/22, 1:24 PM women-analysis - Jupyter Notebook In … We have the following script: Step 2: Get the data from the URL containing the tar file using wget inside jupyter notebook.Step 3: After using wget to download the tar file, you should see the tar file in the folder you are working with. In Jupyter, when I was a newbie, I often needed to reference some Python library code located in some weird place on my PC, so I did this at the top of each Jupyter notebook I created: import sys sys.path.append(‘C:\\users\\name\\code\\my-Python-object-location’) Doing so made the path (temporarily) part of sys.path for as long as that session … Continue reading … ( There are also 2 python script files list_file.py and list_file_path.py which we will introduce later. ) You can create content with Jupyter notebooks. Tell a story with a dashboard. annots = loadmat ('cars_train_annos.mat') Spark - Check out how to install spark. What little exposure I had had to phpMyAdmin and Microsoft Access had conveyed an impression of obscure and dangerous fiddliness, coalescing to a weighty sense of tedium. Scipy is a really popular python library used for scientific computing and quite naturally, they have a method which lets you read in .mat files. To launch a Jupyter notebook, open your terminal and navigate to the directory where you would like to save your notebook. Then type the command jupyter notebook and the program will instantiate a local server at localhost:8888 (or another specified port). To open a file in a non-default viewer/editor, right-click on its name in the file browser and use the “Open With…” submenu to select the viewer/editor: Click Create. Line magics operate on a single line of a code cell. It is also quite versatile as it can support many programming languages via kernels such as Julia, Python, Ruby, Scala, Haskell and R. For example, the content for the current page is contained in this notebook file. I have just imported a CSV file and viewed the first 5 rows. You can get it done in one line of code: from scipy.io import loadmat. passwd() I'm trying to create a class to make viewing my data very quick and simple within Jupyter Notebook. Config file and command line options . export_excel file python. jupyter read excel. Pyspark - Check out how to install pyspark in Python 3. Plotting. Many files types have multiple viewers/editors.For example, you can open a Markdown file in a text editor or as rendered HTML. Your Jupyter notebook will contain cells, where you can type small pieces of code. Click “Upload” for each file that you wish to upload. Jupyter is a great tool that provides a python environment in a web browser. It extends more or less the interactive python interpreter on the command line with a web-based user interface and some enhanced visualization capabilities (e.g. matplotlib). It is one of the cloud services that support GPU and TPU for free. The file can be named anything ( start.py is easy to remember) and you can have multiple files in startup/. 1. import pandas as pd. export a dataframe to excel pandas. 2)Create the database engine. See, the files in this repo are [code ].py[/code] files and not [code ].ipynb[/code] files. Then copy the path of the CSV file in a variable in your notebook, and read the file using read_csv(). Until very recently, I had a mysterious aversion to databases. Getting started with building, deploying, and trusting models ... Microsoft Azure File Storage connection. This will output a list of the available line magics and cell magics, and it will also tell you whether "automagic" is turned on. Importing Jupyter Notebooks as Modules . While you can launch Jupyter or JupyterLab, you can also edit and run your notebooks without leaving the workspace.. For information on how to create and manage files, including notebooks, see Create and manage files in your workspace. View women-analysis - Jupyter Notebook.pdf from CSE 51A at Pace Institute Of Technology & Sciences. Jupyter notebook would be a good option in one of these cases and many more:demonstrate the scientific model to someone;conduct an experiment including the models;capture and visualize the scientific journey;communicate a certain message;share the scientific concept;operate the complex ideas;make an impressive product demo;teach to use the product/ feature;engage in learning & training. The IPython.display.Audio class constructor has the below parameters to specify the audio file path. Firstly, you’ll need to import the necessary Python libraries, before you can read or write any files. csvFile = "C:\\Users\\...\\myData.csv" b. Photo by Pat Whelen on Unsplash. SQLite. import pandas as pd df = pd.read_excel (r'path where the excel file is stored\file name.xlsx') reading xls table into python. Input below ipython code in the first cell line, then click the Run button to run it to create file abc.txt and write text data to it. I'm hoping to automate an onerous task using a notebook built around an R code node. Adding data from your local machine. Originally published Feb 7, 2019. Replace single quotes with double quotes and escape the slashes ex. Jupyter Notebook (previously referred to as IPython Notebook) allows you to easily share your code, data, plots, and explanation in a … It makes life so much more easier for data scientists and data analysts when they need stunning visuals to communicate their findings. Importing packages in Jupyter notebooks. Say your file is in the same folder as your Jupyter notebook and is called “datafile.txt”. python csv file. Tableau a great visualisation and storey telling tool. It’s used to create, train, and deploy machine learning models, but it’s also great for doing exploratory data analysis and prototyping. how to connect excel to python. Next to Packages, select Python 3.7 and R. Select r from the dropdown menu. How to Use Magics in Jupyter. read a function of excel in python. In [3]: In this section, you’ll use the Boto3. G oogle Colaboratory, known as Colab, is a free Jupyter Notebook environment with many pre-installed libraries like Tensorflow, Pytorch, Keras, OpenCV, and many more. This is made difficult by the fact that Notebooks are not plain Python files, and thus cannot be imported by the regular Python machinery. It’s fairly simple we start by importing pandas as pd: import pandas as pd # Read JSON as a dataframe with Pandas: df = pd.read_json ( 'data.json' ) df. The Jupyter folder is in your home directory, ~/.jupyter. There are two ways to rename Jupyter Notebook files:. In order to create that file, you need to run: jupyter notebook --generate-config. After opening a Jupyter Notebook in your CodeSignal live interview session and selecting a kernel (like R or Python), you or your candidate can easily upload data to work with. Jupyter Notebook is a web-based interactive application that enables users to create notebook documents that feature live code, interactive plots, widgets, equations, images etc., and share these documents easily. Jupyter word is derived from the popular programming languages – Julia, Python, and R. Starting from the top, let’s quickly … Lesson 02: Creating a file select button in jupyter notebook import pandas as pd file=pd.read_csv ('vg-stats/vgsales.csv') file pip. If you need to upload larger files, please use the Data Lab command line client to upload the file(s) to your vospace. If you are already familiar with Python and have your own preferred Python Editor, you can skip the introductory section and start reading the section "Importing JSON Files". load python file in jupyter notebook Sehe A text file can be loaded in a notebook cell with the magic command %load.If you execute a cell containing: %load filename.py the content of filename.py will be loaded in the next cell.You can edit and execute it as usual. A file dragged in such a manner in iPython notebooks will be available under the "/resources" path, which you can then reference in your Zeppelin notebooks. By doing so, you can elimitate the step to manually export scripts. The Training Dataset. different ways to import csv files in python. Seeing “ImportError: No module named tensorflow” but you know you installed it? 4)Query the database. The only drawback is it only works for individual files; not directories or multiple files. Use pandas to read Excel files in Jupyter. June 4, 2021. show jpg in jupyter notebook. open a excel file with ptyhon. After creating your configuration file, you will need to generate a password for your Jupyter Notebook using ipython: Enter the IPython command line: ipython. This is the zoo.csv data file, brought to pandas. Code language: Python (python) The output, when working with Jupyter Notebooks, will look like this: Click file InvokePythonScript.ipynb to edit it. !pip install tensorflow sometimes just does not work? In this article, we will take an overview of the Jupyter notebook. 1)Import packages and functions. Let’s go ahead & create a repository on GitHub. The iPython/Jupyter Notebooks in Data Scientist Workbench allow data files to be dragged from your desktop and dropped onto a notebook. jupyterthemes jplot. The data captures the temperature variations of some buildings. For example, the Excel file for the same Titanic dataset is available at vandebilt.edu (full link in following script). (Note: this screenshot was taken in the R kernel.) Photo by Sayan Nath on Unsplash. Rename Jupyter Notebook Files. Now, we can access the data with same file name and load it as pandas dataframe. python by Smoggy Seal on May 12 2020 Comment. ! Arrays and data frames - Loading a data file into a local Jupyter notebook under Mac OS open mat file in python. We practice the following steps for relational database management systems. First, navigate to the Jupyter Notebook interface home page. Amazon SageMaker is a powerful, cloud-hosted Jupyter Notebook service offered by Amazon Web Services (AWS). manipulate csv python. Now, we will be getting content of file by using id. You can run Jupyter notebook in the cloud using a service like try.jupyter.org or you can install and run it locally. One of the following should work to call files from different locations: a. The notebook server can be run with a variety of command line arguments. Reading them in is definitely the easy part. These are pre-written software packages that have specific purposes. Jupyter has a beautiful notebook that lets you write and execute code, analyze data, embed content, and share reproducible work. Learn how to run your Jupyter notebooks directly in your workspace in Azure Machine Learning studio. It helps you to follow and understand how the researcher got to his conclusions. Coding and running notebooks. Import csv file to Jupyter. To learn how to share this data with new users on the JupyterHub, see Share data with your users. from the Jupyter Notebook dashboard and; from title textbox at the top of an open notebook. IPython.display.Audio class is used to display the audio files in the Jupyter notebook. Click “Upload” for each file that you wish to upload. Starting Python At ParseHub, we use the free and easy-to-use Jupyter Notebooks , formerly called iPython Notebooks, to run our JSON data analysis. This post will not cover how to use Jupyter notebooks with SAS or other languages. For your needs, the two most important ones are numpy and pandas. A dataframe from jupyterlab can be saved in a format like CSV, Xls, JSON but in Real-time analysis when the data keeps updating on day to day basis it will be inefficient to download data daily from jupyter notebook and uploading it into Tableau. Load python file in jupyter notebook Code Example trend iqcode.com. read csv in jupyter notebook. Upload data to Jupyter Notebook. Click the Upload button in the top right. The code imports the types required for this scenario: from pyspark.sql import * from pyspark.sql.types import * 1. Does anyone know how to access google drive files inside Jupyter notebook? In this case you will first start by storing your file name in an arbitary variable, let’s say “filename”, like this: filename = 'datafile.txt'. It is, of course, possible to open SPSS and SAS files using Pandas and save them as .dta files as well. A GitHub repository is like your supercharged folder in the cloud. Most data journalists start in excel, then progress to SQL and so forth but once your data swells in size most people struggle to clean millions of rows of dirty data. Now follow these steps to generate your password: from IPython.lib import passwd. Where the file itself is in the same directory with the file script. answered May 29, 2017 by robnik ( 1,040 points) read a daa value from a excel in python. how to import csv file pandas. 5 hours ago Step 1: Import Wget. You may select multiple files if you wish. Yeah, the data look right, the type is okay, so we can proceed. Open the environment with the R package using the Open with Jupyter Notebook option. You can export Pandas DataFrame to an Excel file using to_excel. One of the standards for file formats is CSV. Load python file in jupyter notebook Code Example trend iqcode.com. Jupyter Evidencen.com Show details . If you’d like to write in plain-text files, but still keep a notebook structure, you can write Jupyter notebooks with MyST Markdown, which are then automatically converted to notebooks. A list of available options can be found below in the options section.. Defaults for these options can also be set by creating a file named jupyter_notebook_config.py in your Jupyter folder. Example data used in this lecture: FBOne.csvhttps://drive.google.com/file/d/1luLaEPCWIPiy74ohsV-Xpkx79vtSnRUG/view?usp=sharingFacebook stock price. That’s how it looks on a basic Python shell. Here is a template that you may apply in Python to export your DataFrame: df.to_excel (r'Path where the exported excel file will be stored\File Name.xlsx', index = False) And if you want to export your DataFrame to a specific Excel Sheet, then you may use this template: Now Let me walk you through the rest of the steps. Sometimes you can import packages from the console, but not from the Jupyter notebook? how to produce other file formats in SAS, Python, and R.. I’ll outline multiple methods including a point-and-click method, how to write inline code directly in the … Analyze data in a Jupyter notebook. Ensure to import pandas as pd before running the above method. Add the first line cell and input below source code. Jupyter Notebook files. You will need Pythonversion 3.3+ or 2.7+. Now in the Notebook, at the top-left there is File menu and then click on Locate in Drive, and then find your data. 4 Ways To Load Data In Jupyter Notebook And Visual Studio . This stores the name of your file in the variable “filename”. Run the Python code (adjusted to your path), and you’ll get the following dataset: Product Price 0 Desktop Computer 700 1 Tablet 250 2 Printer 120 3 Laptop 1200. It is a common problem that people want to import code from Jupyter Notebooks. We will work with census data that comes with SAP Predictive Analytics. Click Create. [I have my dataset uploaded inside my google drive ] PS - In google collab it is as simple as *from google.colab import drive* Thanks in advance for the help ! 2. . Cleaning dirty data using Pandas and Jupyter notebook. Now, go back to your Jupyter Notebook (that I named ‘pandas_tutorial_1’) and open this freshly created .csv file in it! import numpy as np import pandas as pd. In [1]: from pyspark.sql import SparkSession. ; IPython.display.Audio(data=None, filename=None, url=None, embed=None, rate=None, autoplay=False): filename is the local audio file path and … Jupyter Notebook combines live code execution with textual comments, equations and graphical visualizations. The most likely reason is that you want to share the content of your Notebook to non-technical users that don't want to install Python or the other dependencies necessary to use your Notebook. 1. Formats < /a > Config file and load it as pandas dataframe and visualizations! Notebook server can be run with a variety of command line options Check how! The temperature variations of some buildings walk you through the rest of csv. //Jupyterbook.Org/File-Types/Notebooks.Html '' > how to share this data with new users on the data in the notebook! Intelligence Tips & Tricks < /a > the csv file and load it as pandas dataframe to Excel!: //medium.com/kodluyoruz/importing-data-in-python-fe337f280df1 '' > Jupyter notebook files: load it as pandas dataframe to Excel. Instantiate a local server at localhost:8888 ( or another specified port ) copied code from above and used here drive.CreateFile!: //towardsdatascience.com/how-to-read-data-files-on-s3-from-amazon-sagemaker-f288850bfe8f '' > how to easily import data... < /a > use to! An onerous task using a notebook built around an R code node your notebook, type % lsmagic into pandas! 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Possible to open SPSS and SAS files using pandas and save them as.dta files as well we. With all HDInsight Spark clusters Importing a dataset and training models on the JupyterHub, your home directory your,. S go ahead & create a Jupyter notebook packages, select python and. The variable “ filename ” with SAP Predictive Analytics: \\Users\\... \\myData.csv '' b good to go work. With census data that comes with all HDInsight Spark clusters HDInsight Spark.. Python libraries, before you can read or write any files example data used this! You installed it can read or write any files Excel in python an R code.... A code cell as pd df = pd.read_excel ( r'path where the Excel file using read_csv ( ) in script. For your needs, the content for the current page is contained in this lecture: FBOne.csvhttps: //drive.google.com/file/d/1luLaEPCWIPiy74ohsV-Xpkx79vtSnRUG/view usp=sharingFacebook... Variety of command line arguments extension can also add new viewers/editors for files an file... Data analysts when they need stunning visuals to communicate their findings type % into..., before you can read or write any files Importing packages in Jupyter class is used to the... Work with census data that comes with all HDInsight Spark clusters a beautiful notebook lets... Go ahead & create a repository on GitHub the cell home directory, ~/.jupyter are executed in lexicographical when... Environment in a web browser facilitate coding experience, numerical simulation, statistical modeling, data,. Share this data with your users frame from them local server at localhost:8888 ( another. Xls table into python lecture: FBOne.csvhttps: //drive.google.com/file/d/1luLaEPCWIPiy74ohsV-Xpkx79vtSnRUG/view? usp=sharingFacebook stock price JupyterLab extension also! Same Titanic dataset is available at vandebilt.edu ( full link in following script.... Rest of the steps the below parameters to specify the audio file.... Then copy the path of the cloud services that support GPU and TPU for free sometimes can. We have copied code from Jupyter notebooks analysts when they need stunning visuals to communicate their findings not... The directory where you would how to import data file in jupyter notebook to save your notebook, see share data with users! In this method, the content for the same Titanic dataset is available at vandebilt.edu full. Two ways to Rename Jupyter notebook course, possible to open a Jupyter notebook interface home page '' import. No module named tensorflow ” but you how to import data file in jupyter notebook you installed it pre-written packages! Using pandas and save them as.dta files as well title textbox at the top of an open notebook doing! With a variety of command line arguments: //medium.com/kodluyoruz/importing-data-in-python-fe337f280df1 '' > how run! ' ) file pip press SHIFT + enter to run the cell GPU and TPU free... Modeling, data visualization, machine learning, and share reproducible work this section, you ’ ll need import..., machine learning, and then press SHIFT + enter to run your Jupyter notebooks path '' df_bonus = (... Usp=Sharingfacebook stock price in Azure machine learning, and read the file is also not downloaded into notebook. Code snippet below can be used to display the audio files in Jupyter notebook files is! `` C: \\Users\\... \\myData.csv '' b census data that comes with all HDInsight Spark clusters files just easily! Makes life so much more easier for data scientists and data analysts they! Got to his conclusions this is the zoo.csv data file, brought to pandas python by Smoggy on... For files Excel file in a variable in your notebook is a great that. Before you can read or write any files using external libraries to the. Instantiate a local server at localhost:8888 how to import data file in jupyter notebook or another specified port ) that!