Resources

Discover resources that will boost your progress and enhance your data science learning experience and professional performance.

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.

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Class Variables in Python

In Python, we can design and create our own objects. This is done with the help of classes. The following template shows how to implement a simple class consisting of a constructor and a class variable. Some other related topics you might find interesting are The pass-statement in Python, Creating a constructor in Python - the INIT method, Methods in Python - functions inside classes, Inheritance in Python, and Defining classes in Python. The Class Variables in Python template is among the topics covered in detail in the 365 Data Science Program. 

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Creating a Constructor in Python - the INIT Method

In this free Jupyter notebook, we create a class and define a constructor through the __init__ method. This helps control the variables that enter an object. We then define two different instances of this class and show how to retrieve information from them. Some other related topics you might be interested in are Defining classes in Python, The pass-statement in Python, Class variables in Python, Methods in Python - functions inside classes, and Inheritance in Python. This Creating a Constructor in Python- the INIT Method template is among the topics covered in detail in the 365 Data Science Program. 

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

In Python, we can design and create our own objects. This is done with the help of classes. In this template notebook, we define a very simplistic class without a body and create an object which is an instance of that class. Finally, we store and retrieve information from that object. Some other related topics you might be interested in are Creating a constructor in Python - the INIT method, The pass-statement in Python, Class variables in Python, Methods in Python - functions inside classes, Inheritance in Python. The Defining Classes in Python template is among the topics covered in the 365 Data Science Program. 

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Yellow cover of The Pass-Statement in Python. This template resource is from 365 Data Science.
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The Pass-Statement in Python

This free template helps your code writing by showing you the ability to define a function, a class, a loop or an if-statement but leave it empty for the time-being. This is what the pass-statement allows us to do. Some other related topics you might be interested in are Defining classes in Python, Creating a constructor in Python - the INIT method, Class variables in Python, Methods in Python - functions inside classes, Inheritance in Python. The Pass-Statement in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of Recursion in Python - the Fibonacci Sequence. This template resource is from 365 Data Science.
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Recursion in Python - the Fibonacci Sequence

Functions in Python have the ability to call themselves. This is what we call a recursion. In this template you will find an implementation of the Fibonacci sequence using recursion. Some other related topics you might be interested in are Recursion in Python - the Fibonacci sequence, The pass-statement in Python, Methods in Python - functions inside classes. The Recursion in Python - the Fibonacci Sequence in Python is among the topics covered in detail in the 365 Program. 

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Yellow Cover of Defining Functions in Python - the Fibonacci Sequence. This template resource is from 365 Data Science.
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Defining Functions in Python - the Fibonacci Sequence

In this notebook you will find examples of function definitions with and without returning a value. You will find an implementation of the Fibonacci sequence which returns the n-th Fibonacci number, where n is a number determined by the user and understand the purpose of a docstring. Some other related topics you might be interested in are The enumerate function in Python, Using Counter - a dictionary subclass in Python, and One-Dimensional Dictionaries in Python template. The Defining Functions in Python - the Fibonacci Sequence  Python is among the topics covered in the 365 Program.

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Yellow cover of Open, Close, Read, Write and Append to Files in Python. This template resource is from 365 Data Science.
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Open, Close, Read, Write and Append to Files in Python

The following notebook  template guides you through the process of creating a file and writing information in it using Python code. You will also learn how to append to a file and read the information from it. Some other related topics you might be interested in are Using Counter - a dictionary subclass in Python, String formatting in Python, and While Loops in Python. The Open, Close, Read, Write and Append to Files in Python template is among the topics covered in detail in the 365 Program. 

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Yellow cover of The Zip Function in Python. This template resource is from 365 Data Science.
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The Zip Function in Python

The following template is a comprehensive introduction to the zip function in Python and the way it is used. We discuss what happens when two or more lists are zipped. We also take a look at how this function can be used to unzip values and store them in separate variables. Some other related topics you might be interested in are The enumerate function in Python, Defining functions in Python - the Fibonacci sequence, and One-Dimensional Dictionaries in Python template. The Zip Function in Python is among the topics covered in the 365 Program. 

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Yellow cover of Using Counter - a Dictionary Subclass in Python. This template resource is from 365 Data Science.
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Using Counter - a Dictionary Subclass in Python

The following is a program that demonstrates the usage of the Counter subclass. It is used to determine the frequency of all characters in a string. This Counter object is then converted into a dictionary. Dictionary comprehension is then used to remove unnecessary characters from the dictionary. Some other related topics you might be interested in are While Loops in Python, Dictionary Comprehension in Python, and Bubble Sort in Python . The Using Counter - a Dictionary Subclass in Python is among the topics covered in detail in the 365 Data Science program.  

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

The following template  is a program implementing a dictionary in Python where the keys are a couple of countries. The values are their corresponding capitals. Within the notebook, it is demonstrated 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 While Loops in Python, Dictionary Comprehension in Python, and Using Counter - a Dictionary Subclass in Python. The One-Dimensional Dictionaries in Python template is among the topics covered in detail in the 365 Data Science program.  

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Yellow cover of While Loops in Python. This template resources is from 365 Data Science.
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While-Loops in Python

The following is a program demonstrating the implementation of a while-loop. The program asks the user to input the ages of students in a class. Using a while-loop, these ages are stored in an array and printed out in the end. Some other related topics you might be interested in are Linear Search in Python, Binary Search in Python, Insertion Sort in Python, and Sets and Operations with Sets in Python. The While-Loops in Python template is among the topics covered in detail in the 365 Data Science Program. 

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Yellow cover of Bubble Sort in Python. This template resourcs is from 365 Data Science.
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Bubble Sort in Python

The following is a program which makes use of for-loops to implement the bubble sort algorithm in a function. Some other related topics you might be interested in are Linear search in Python, Binary search in Python, Insertion sort in Python, Sets and operations with sets in Python. The Bubble Sort in Python template is among the topics covered in detail in the 365 Data Science Program  

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Yellow cover of The If-Else Statement in Python. This template resources is from 365 Data Science.
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The If-Else Statement in Python

The following is a program demonstrating the implementation of the conditional  if-else statement. The program asks the user to enter the temperature outside. It then gives recommendations on what actions the user needs to take. Some other related topics you might be interested in are True and False in Python, While-loops in Python, For-loops in Python. The If-Else Statement in Python template is among the topics covered in detail in the 365 Data Science Program. 

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Yellow cover of True and False in Python. This template resource is from 365 Data Science.
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True and False in Python

The following notebook demonstrates the result of combining boolean expressions with the 'not', 'and', and 'or' logical operators. We first start simple by evaluating expressions containing two booleans and one logical operator. Then, we give and thoroughly explain a more intricate example containing several boolean expressions and operators. Some other related topics you might be interested in are The if-else statement in Python, While-loops in Python, and For-loops in Python. The True and False in Python template is among the topics covered in detail in the 365 Data Science program

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Yellow cover of String Formatting in Python. This template resources is from 365 Data Science.
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String Formatting in Python

In the following notebook template , you will find a series of examples that demonstrate the most important operations that one can perform on strings. From finding the length of a string all the way to creating a string storing a small poem and splitting it into separate words using the split() and strip() method. Some other related topics you might be interested in are User inputs in Python, Using Counter - a dictionary subclass in Python, Loops and if-statements, and Regular expressions in Python. The String Formatting in Python template is among the topics covered in detail in the 365 Data Science program

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

The following template  is a program which demonstrates how to ask the user for an input and store that input either as a string, or as an integer, depending on the needs. Some other related topics you might be interested in are String formatting in Python, The if-else statement in Python, While-loops in Python, For-loops in Python. The User Inputs in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Getting the Current Time in Python. This template resource is from 365 Data Science.
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Getting the Current Time in Python

This is a template demonstrating how to estimate the local time in the current time zone. It shows the application of the .now() method. Some other related topics you might be interested in are Converting Strings into Datetime Objects in Python, Replacing the Values of Datetime Objects in Python, Getting the Date of the Week in Python and Working with Format Codes in Python. The Getting the Current Time in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Converting Strings into Datetime Objects in Python. This template resource is from 365 Data Science.
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Converting Strings into Datetime Objects in Python

This is a template demonstrating how to convert string values into datetime objects and display these values in a user-friendly form in Python. It includes the application of the .strptime() method from the datetime module. Some other related topics you might be interested in are Timestamps in Python, Converting Datetime Objects into Strings in Python, Replacing the Values of Datetime Objects in Python, and Working with Format Codes in Python. The Converting Strings into Datetime Objects in Python template is among the topics covered in detail in the 365 Data Science program.

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Yellow cover of Working with Format Codes in Python. This template resource is from 365 Data Science.
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Working with Format Codes in Python

This template shows how to use the format codes. It demonstrates the combination of the Python .strftime() method and the format codes for indicating separate date and time elements. Other related topics you might be interested in are Timestamps in Python, Converting Datetime Objects into Strings in Python, Replacing the Values of Datetime Objects in Python, and Displaying Time Elements in Python. The Working with Format Codes in Python template is among the topics covered in detail in the 365 Data Science program.

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

This is a template demonstrating how to work with both date and time values in the form of a timestamp. Other related topics you might be interested in are Attributes of the Python Time class , Datetime Values in Python, Attributes of the Python Time Class, Working with Dates and Times Simultaneously and Converting Strings into Datetime Objects in Python. The Timestamps in Python template is among the topics covered in detail in the 365 Data Science program.

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