Templates

Boost your programming skills with free Python, SQL, R, and Excel templates and create top-notch projects for your portfolio.

Save hours of browsing through the Internet and accelerate your workflow with code-ready templates for your programming projects. Personally crafted by 365 Data Science instructors, these templates bring a surprising efficiency level to your work process.

Data Science Shortcuts Cheat Sheet
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Data Science Shortcuts Cheat Sheet

Discover how to boost your productivity using this data science shortcuts cheat sheet with over 2,000 workarounds in Python IDEs, such as Jupyter, Spyder Rodeo, PyCharm, and Atom, compatible with various operating systems. Amplify your proficiency in R with R Studio shortcuts, streamline MATLAB operations, and manage databases efficiently with SQL shortcuts.     Enhance data visualization in Tableau, easily manage Excel spreadsheets, and conduct statistical analyses seamlessly in SPSS and SAS. This data science shortcuts cheat sheet lets you speed up your everyday tasks while achieving your goals.

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Yellow cover of Multi-Dimensional Dictionaries in Python. This template resource is from 365 Data Science.
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Multi-Dimensional Dictionaries in Python

The following is a program implementing a multi-dimensional dictionary in Python. The notebook shows how to retrieve keys and values from the dictionary, how to create a new key:value pair and how to loop through the keys and the values using a for-loop. Some other related topics you might be interested in are One-Dimensional Dictionaries in Python, Dictionary Comprehension in Python, Using Counter - a Dictionary Subclass in Python. The Multi-Dimensional Dictionaries in Python free template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Methods in Python - Functions Inside Classes in Python. This template resource is from 365 Data Science.
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Methods in Python - Functions Inside Classes in Python

In Python, we can design and create our own objects with the help of classes. In this free notebook, we will design a class and define two functions inside - two methods. In Python, methods are accessed through the dot-notation. They help interact with an object and are an essential part of a class. Some other related topics you might be interested in are Defining classes in Python, The Pass-Statement in Python, Creating a Constructor in Python - the INIT method, Class Variables in Python, Inheritance in Python. The Methods in Python – Functions Inside Classes in Python template is among the topics covered in detail in the 365 Program.

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Yellow cover of Inheritance in Python. This template resource is from 365 Data Science.
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Inheritance in Python

In Python, we can design and create our own objects. This is done with the help of classes. The design of these (parent) classes can be inherited by other classes. This allows classes to make use of the constructor and the methods of the parent class. In this notebook, we demonstrate how this can be done with a thorough example. Some other related topics you might  be interested in are Defining classes in Python, The pass-statement in Python, Creating a constructor in Python - the INIT method, Class variables in Python, Methods in Python - functions inside classes. The Inheritance in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Indexing with.iloc[] and .loc[] in Python. This template resource is from 365 Data Science.
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Indexing with.iloc[] and .loc[] in Python

The following template demonstrates how to perform indexing with the pandas methods iloc[] and loc[].Some other related topics you might be interested in are Data Selection in Python, Common Attributes for Working with DataFrames in Python, Attribute Chaining in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, and Converting Series into Arrays in Python. The Indexing with.iloc[] and .loc[] in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Data Selection in Python. This template resource is from 365 Data Science.
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Data Selection in Python

The following template demonstrates how to extract elements, rows, columns, or just a subset from a DataFrame object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Attribute Chaining in Python, Common Attributes for Working with DataFrames in Python, Indexing with.iloc[] and .loc[] in Python. The Data Selection in Python template is among the topics covered in detail in the 365 Program.  

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Yellow cover of Common Attributes for Working with DataFrames in Python. This template resources is from 365 Data Science.
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Common Attributes for Working with DataFrames in Python

The following template demonstrates the application of important pandas attributes when cleaning, preprocessing, and analyzing a dataset. Some other related topics you might be interested in are Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, and Using Pandas Methods for Working with Series Objects in Python. The Common Attributes for Working with DataFrames in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Attribute Chaining in Python. This template resource is from 365 Data Science.
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Attribute Chaining in Python

The following template demonstrates how to use several attributes at once. Some other related topics you might be interested in are Common Attributes for Working with DataFrames in Python, Data Selection in Python, Indexing with.iloc[] and .loc[] in Python, Converting Series into Arrays in Python, and Delivering an Array with the Unique Values from a Dataset in Python. The Attribute Chaining in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Ordering the Rows from a Data Table According to the Values in a Column in Python. This template resource is from 365 Data Science.
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Ordering the Rows from a Data Table According to the Values in a Column in Python

The following template demonstrates how to convert Series objects into pandas and NumPy arrays. Some other related topics you might be interested in are Ordering the Rows from a Data Table According to the Values in a Column in Python, Attribute Chaining in Python, Common Attributes for Working with DataFrames in Python, Data Selection in Python, and Indexing with.iloc[] and .loc[] in Python. The Ordering the Rows from a Data Table According to the Values in a Column in Python template is among the topics covered in greater detail in the 365 Program. 

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Yellow cover of Converting Series into Arrays in Python. This template resource is from 365 Data Science.
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Converting Series into Arrays in Python

The following template demonstrates how to convert the pandas Series to a NumPy Array using this function. Despite being quite straightforward, this approach has a highly original premise. since we are aware that the Series' output has an index. In contrast, NumPy arrays simply contain their elements. Some other related topics you might be interested in are Ordering the Rows from a Data Table According to the Values in a Column in Python, Indexing with.iloc[] and .loc[] in Python, Data Selection in Python, Common Attributes for Working with DataFrames in Python. The Converting Series into Arrays in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Obtaining Descriptive Statistics about the Data in Python. This template resource is from 365 Data Science.
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Obtaining Descriptive Statistics about the Data in Python

The following template demonstrates how to obtain an overview about the dataset. It shows the application of the .describe() method on a pandas Series object. Some other related topics you might be interested in are Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, Data Selection in Python, and Common Attributes for Working with DataFrames in Python. The Obtaining Descriptive Statistics about the Data in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Creating DataFrames in Python. This template resource is from 365 Data Science.
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Creating DataFrames in Python

The following template demonstrates how to create a DataFrame from various datatypes. Some other related topics you might be interested in are Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, and Data Selection in Python. The Creating DataFrames in Python template is among the topics covered in detail in the 365 Program.

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Yellow cover of Using Pandas Methods for Working with Series Objects in Python . This template resource is from 365 Data Science.
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Using Pandas Methods for Working with Series Objects in Python

The following template demonstrates the application of some of the most widely used pandas methods for working with Series objects. Some other related topics you might be interested in are Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, and Data Selection in Python. The Using Pandas Methods for Working with Series Objects in Python template is among the topics covered in detail in the 365 Program.

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
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Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
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Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
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Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
Templates python

Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
Templates python

Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Dealing with Indexing in Python. This template resource is from 365 Data Science.
Templates python

Dealing with Indexing in Python

This template shows how to perform various operations regarding indexing in Python. Some other related topics you might be interested in are Using Pandas Methods for Working with Series Objects in Python, Creating DataFrames in Python, Obtaining Descriptive Statistics about the Data in Python, Delivering an Array with the Unique Values from a Dataset in Python, and Ordering the Rows from a Data Table According to the Values in a Column in Python. The Dealing with Indexing in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Position-Based and Label-Based Indexing in Python. This template resource is from 365 Data Science.
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Position-Based and Label-Based Indexing in Python

This template shows the difference between position-based and label-based indexing in Python. It demonstrates its application on pandas Series. Some other related topics you might be interested in are Dealing with Indexing in Python, Creating a Series Object from a List in Python, Delivering an Array with the Unique Values from a Dataset in Python, Converting Series into Arrays in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python and Attribute Chaining in Python. The Position-Based and Label-Based Indexing in Python template is among the topics covered in detail in the 365 Program. 

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