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 will bring a surprising level of efficiency to your work process.

Templatespython

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This template demonstrated the concepts behind indexing in Python by giving pandas objects as an example. Some other related topics you might be interested in are Position-Based and Label-Based Indexing in Python, Dealing with Indexing in Python, Using Pandas Methods for Working with Series Objects in Python, Ordering the Rows from a Data Table According to the Values in a Column in Python, and Attribute Chaining in Python. The Indexing in Pandas Python template is among the topics covered in detail in the 365 Program.

Check out our most helpful downloadable resources according to 365 Data Science’s students and expert team of instructors.

Templatespython

Linear Regression with statsmodels in Python Template

The following Linear Regression with Statsmodels in Python free .ipynb template shows how to solve a simple linear regression problem using the Ordinary Least Squares statsmodels library. We are going to examine the causal relationship between the independent variable in the dataset - SAT score of a student, and the dependent variable -the GPA score. This database is read with the help of the pandas library. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook.

Confusion Matrix with statsmodels in Python Template

In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python.
You can now download the Python template for free.
The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.

The following notebook demonstrates how to iterate through a list more effectively using the enumerate() built-in function in Python. Some other related topics you might be interested in are The zip function in Python, Defining functions in Python - the Fibonacci sequence, Recursion in Python - the Fibonacci sequence and Defining Classes in Python. The Enumerate Function in Python template is among the topics covered in detail in the 365 Data Science Program.

A box and whiskers chart graphically represents the distribution of data through their quartiles. It is often used in financial settings when analyzing the market volatility and can reveal the skewness of data or potential outliers. Тhis free .r template goes over the Titanic’s data set using the ggplot2 library in R, revealing interesting insights about e the survival rate based on age and sex. By following the outlined steps in this R template, you will learn how to convey the information professionally using the ggplot2 functionalities.

Check out our most helpful downloadable resources according to 365 Data Science’s students and expert team of instructors.

Templatespython

Linear Regression with statsmodels in Python Template

The following Linear Regression with Statsmodels in Python free .ipynb template shows how to solve a simple linear regression problem using the Ordinary Least Squares statsmodels library. We are going to examine the causal relationship between the independent variable in the dataset - SAT score of a student, and the dependent variable -the GPA score. This database is read with the help of the pandas library. Download and unzip the .zip file in a new folder. Inside the folder you will find a .csv and a .ipynb file. The first one contains the database and the second one contains the Python code. Open the .ipynb file using Jupyter notebook.

Confusion Matrix with statsmodels in Python Template

In this Confusion Matrix with statsmodels in Python template, we will show you how to solve a simple classification problem using the logistic regression algorithm. Then, we will create a python confusion matrix of the model using the statsmodels library and make the table more beautiful and readable with the help of the pandas library. Some other related topics you might be interested in are Logistic regression with statsmodels in Python, Logistic Regression Curve in Python, Model Accuracy in Python.
You can now download the Python template for free.
The Confusion Matrix with statsmodels in Python template is among the topics covered in detail in the 365 Data Science program.

The following notebook demonstrates how to iterate through a list more effectively using the enumerate() built-in function in Python. Some other related topics you might be interested in are The zip function in Python, Defining functions in Python - the Fibonacci sequence, Recursion in Python - the Fibonacci sequence and Defining Classes in Python. The Enumerate Function in Python template is among the topics covered in detail in the 365 Data Science Program.

A box and whiskers chart graphically represents the distribution of data through their quartiles. It is often used in financial settings when analyzing the market volatility and can reveal the skewness of data or potential outliers. Тhis free .r template goes over the Titanic’s data set using the ggplot2 library in R, revealing interesting insights about e the survival rate based on age and sex. By following the outlined steps in this R template, you will learn how to convey the information professionally using the ggplot2 functionalities.