Python is an interpreted high-level general-purpose programming language. It is is dynamically-typed and garbage-collected. Its language constructs and object-oriented approach aims to help programmers write clear, logical code for small and large-scale projects.
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Pandas dataframe is a two-dimensional data structure that allows you to store data in rows and columns format. You can change the order of columns in the pandas dataframe using … Read more →
Pandas dataframe is a two-dimensional data structure to store and retrieve data in rows and columns format. You can convert pandas dataframe to numpy array using the df.to_numpy() method. Numpy … Read more →
Pandas dataframe is a two-dimensional data structure. You can add rows to the pandas dataframe using df.iLOC[i] = [‘col-1-value’, ‘col-2-value‘, ‘ col-3-value ‘] statement. You can use the below code … Read more →
S3 is an object storage service provided by AWS. You may need to upload data or files to S3 when working with AWS SageMaker notebook or a normal jupyter notebook … Read more →
Lists are changeable and ordered, and it also allows duplicate values. The values are enclosed in square brackets. You can concatenate Lists to one single list in Python using the … Read more →
Python Dictionaries are used to store data in a key-value pair. Dictionaries are changeable and it doesn’t allow duplicate keys. You can check if a key exists in a dictionary … Read more →
Pandas dataframe is a 2-dimensional table structured data structure used to store data in rows and columns format. You can pretty print pandas dataframe using pd.set_option(‘display.max_columns’, None) statement. Usecase: Your … Read more →
Pandas Dataframe stores data in a two-dimensional format. You may need to select rows from Dataframe for various data analysis purposes. You can select rows from Pandas Dataframe using df.loc[0:] … Read more →
Pandas Dataframe is a two-dimensional data structure that can be used to store the data in rows and columns format. Dataframes are very useful in data science and machine learning … Read more →
Pandas dataframe is a two-dimensional data structure used to store data in rows and columns format. Each column will have headers/names. You can get column names in Pandas dataframe using … Read more →