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Python – Complete Python, Django, Data Science and ML Guide [Video]
Python – Complete Python, Django, Data Science and ML Guide [Video]

Python – Complete Python, Django, Data Science and ML Guide: Dive into Programming, Django, Jupyter, Pygame, and AI Essentials [Video]

By Bogdan Stashchuk
$129.99
Video Nov 2023 50 hours 30 minutes 1st Edition
Video
$129.99
Subscription
$15.99 Monthly
Video
$129.99
Subscription
$15.99 Monthly

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Product Details

Publication date : Nov 1, 2023
Length 50 hours 30 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781835465141
Category :
Programming
Languages :
Python (Beginner) , Python (Beginner)
Concepts :
Programming Language
Tools :
Django (Beginner) , Django (Beginner) , Jupyter (Intermediate) , Jupyter (Intermediate)
toc View table of contents toc Download Code

Key benefits

  • Dive into over 50 hours of comprehensive Python content
  • Perfect for developers, data scientists, and game creators
  • Build dynamic web applications with Django and games harnessing Pygame

Description

Join us on an immersive Python programming journey, spanning over 50 hours of learning. Whether you're a novice or experienced, this course equips you with vital Python skills for careers and projects. Starting from the basics, grasp Python's core principles and proficiency in real-world functions. As Python's popularity grows, this course readies you for the rising demand for Python developers. You'll practice hand-on examples using Python's interpreter and Visual Studio Code with Code Runner to solidify your skills. With a focus on Data Science and Machine Learning, you'll master essential packages such as NumPy, Pandas, Matplotlib, and Scikit-learn, using the versatile Jupyter Notebook. The course extensively covers Python's fundamental aspects, spanning variables, lists, dictionaries, and venturing into advanced topics like classes, loops, modules, and creating virtual environments. The goal is to provide you with a solid Python foundation. You'll also gain insight into functional and object-oriented Python programming, making you a versatile coder. The course is thoughtfully structured, explaining not just "how" but also "why" we use specific methods and best practices. By course end, you'll harness Python's full potential for web and mobile app development, data science, machine learning, and game creation.

What you will learn

Grasp concepts such as data types, loops, and conditional statements to build a robust coding foundation Understand OOP principles like inheritance, encapsulation, and polymorphism for streamlined code Manipulate files, directories, and efficiently manage external modules through Python Master real-world datasets with NumPy, Pandas, Matplotlib and more Ensure code reliability through Python's error handling and master the nuances of PIP and virtual project isolation

What do you get with a video?

Feature icon Download this video in MP4 format
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details

Publication date : Nov 1, 2023
Length 50 hours 30 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781835465141
Category :
Programming
Languages :
Python (Beginner) , Python (Beginner)
Concepts :
Programming Language
Tools :
Django (Beginner) , Django (Beginner) , Jupyter (Intermediate) , Jupyter (Intermediate)

Table of Contents

91 Chapters
Introduction to Python Packt Packt
Introduction to the Complete Python Guide
Course Overview
Where to Write and Run Python Code
Practice Installing Python
Practice - Using the Python Interactive Interpreter
Installing and Using Pycharm IDE Packt Packt
Installing PyCharm
Getting Familiar with the PyCharm Interface
Basics Concepts in Python Packt Packt
Key Concept in Python
Main Data Types in Python
Practice - Working with Main Data Types
Introduction to Functions and Built-in Functions in python Packt Packt
Built-in Functions
Practice - Defining and Using Functions
Practice - Using the Return Statement in Functions
Practice - Exploring Built-in Functions
Practice - Using the built-in dir() Function
Practice - Gathering User Input with the built-in input() Function
Code formatting and PEP8 Packt Packt
Code Indentations
Practice - Working with Indentations
Following PEP 8 Guidelines
Enabling Auto-Formatting in PyCharm
Comments Packt Packt
Comments
Practice - Adding Comments to Your Code
Expressions and Instructions Packt Packt
Understanding Expressions
Understanding Statements
Practice - Using Expressions
Practice - Using Statements
Variables Packt Packt
Variables
Practice - Defining and Using Variables
Data Types and structures Packt Packt
Understanding Dynamic Typing
Types and Data Structures Overview
Variables and Objects
Practice - Using the built-in id() Function
Practice - Exploring Core Data Classes (str, int, bool, list, dict)
Practice - Using the built-in isinstance() Function
Strings Packt Packt
Strings
Practice - String Manipulation
Practice - String Methods
String Concatenation Packt Packt
String Concatenation
Practice - Concatenating Strings using the + Operator
Practice - Using f-strings for String Formatting
Practice - Alternative String Formatting Methods
Numeric Types Packt Packt
Integers
Practice - Integers Manipulation
Float Numbers
Practice - Floating-Point Numbers Manipulation
Working with Complex Numbers
Boolean Values Packt Packt
Boolean Values
Practice - Working with Boolean Values
Type Conversion
Magic Methods Packt Packt
Magic Methods
Practice - Utilizing Magic Attributes and Methods
Lists Packt Packt
Lists
List Methods
Practice - Working with Lists
Copying Lists
Practice - Copying Lists
TASK - Working with Lists
Dictionaries Packt Packt
Dictionaries
Practice - Manipulating Dictionaries
Practice - Dictionary Methods
Other Operations with Dictionaries
Practice - Using the get() Method for Dictionaries
Practice - Converting Other Types to a Dictionary
TASK - Working with Dictionaries
Tuples Packt Packt
Tuples
Practice - Tuples Manipulation
Sets Packt Packt
Sets
Practice - Working with Sets
Understanding Set Theory
Set Methods
Practice - Usage of the Set Methods
Practice - Calculating Symmetric Difference of Sets
TASK - Working with Sets
Ranges Packt Packt
Ranges
Practice - Range Manipulation
Practice - Range Methods and Attributes
Working with Sequences Packt Packt
Built-in Functions for Sequences
Built-in zip() Function
Practice - Working with zip Objects
Practice - Converting a zip Object to a Dictionary
Comparison of Different Sequences
Modifying Objects in Python Packt Packt
Understanding Immutable Objects in Python
Understanding Mutable Objects in Python
Strategies to Prevent Object Mutation
Practice - Creating Deep Copies of Objects
Functions Packt Packt
Functions
Calling Functions. Arguments vs Parameters
Shortest Function in Python
Function Arguments Packt Packt
Mutable and Immutable Arguments in Function Calls
Practice - Using Mutable and Immutable Objects as Function Arguments
Practice - Mandatory and Optional Positional Arguments
TASK - Functions Manipulation
Function Arguments
Args and kwargs in Functions Packt Packt
Practice - Using *args to Gather Positional Arguments into a Tuple
Keyword Arguments
Practice - Working with Keyword Arguments
Practice - Using *kwargs to Merge Keyword Arguments in a Dictionary
TASK - Manipulating Function Arguments
Args and kwargs
Practice - Gathering Positional Arguments into the *args Tuple
Practice - Gathering All Keyword Arguments into the **kwargs Dictionary
Default Function Parameters Packt Packt
Default Function Parameters
Practice - Using Default Function Parameters
Docstrings Packt Packt
Docstrings
Practice - Writing and Using Docstrings
Practice - Exploring Docstrings
Practice - Adding Docstrings to Functions
Callback Functions Packt Packt
Callback Functions
Rules for Working with Functions
Global and local Variables Packt Packt
Scopes
The Global Keyword
Practice - Global and Local Variables
Practice - Using the Global Keyword
Operators Packt Packt
Operators
Unary and Binary Operators
Practice - Working with Prefix Unary Operators
TASK - Operators
Falsy and Truthy Values Packt Packt
Falsy and Truthy Values
Practice - Falsy and Truthy Values
Logical and Comparison Operators Packt Packt
Logical Operators
Practice - Short-Circuit OR Operator
Practice - Short-Circuit AND Operator
Practice - Combining OR and AND Operators
Practice - Examples with Logical Operators
Practice - Comparison Operators
The del Statement
Lambda Functions Packt Packt
Lambda Functions
Practice - Returning Lambda Functions from Functions
Practice - Sorting a List using Lambda Functions
Practice - Filtering a List using Lambda Functions
Error handling Packt Packt
Error Handling
Practice - Using Different Error Classes in the Try and Except
Practice - Using Multiple Error Classes in one Except Block and Parent Exception Class
Practice - Using Else and Finally Blocks
Example - Handling File Not Found Errors
Example - Handling Undefined Variable Errors
Practice - Raising Custom Errors
Practice - Handling Raised Errors using Try and Except
Practice - Specifying Types for Function Parameters
TASK - Proper Error Handling
Sequence Unpacking Packt Packt
Sequence Unpacking
Practice - Unpacking Tuples
Practice - Unpacking a List of Tuples
Practice - Unpacking Remaining Elements
Practice - Unpacking Selected Elements
Practice - Unpacking a List into Positional Arguments
Practice - Unpacking a Dictionary into Keyword Arguments
Practice - Flexibility in Function Calls
Unpacking Dictionary Packt Packt
Dictionary Unpacking Operator **:
Practice - Using the Dictionary Unpacking Operator
Practice - Merging Two Dictionaries
Conditional Statements Packt Packt
Conditional Statements
Practice - Working with Multiple if Statements
The if-else Statement
The if-elif Statement
Practice - Combining if, elif, and else Statements
Practice - Considering the Order of Conditions in if Statements
Practice - Incorporating if Statements into Functions
Practice - Using if and return Statements within Functions
Example - Calculating School Grades using if and return in the Function
TASK - Conditional Statements
Ternary Operator Packt Packt
Ternary Operator
Practice - Utilizing the Ternary Operator
Example - Calculating Discounts with the Ternary Operator
Example - Data Manipulation using the Ternary Operator
Example - Calculating School Grades using the Ternary Operator
For-In loop Packt Packt
Loops
For-In Loop
Practice - Iterating through Lists and Tuples using For-In Loops
Practice - Iterating through Dictionaries using For-In Loops
Practice - Iterating through Ranges, Strings, and Sets with For-In Loops
TASKS - Working with For-In Loops
While Loop Packt Packt
While Loop
Practice - Utilizing the While Loop
Example - Making Selections with the While Loop
Practice - Using break Statements in While and For-In Loops
Practice - Using continue and break Statements in While Loops
TASK - While Loop
For-In Expression (Comprehension) Packt Packt
For-In Expression
List, Set, and Dictionary Comprehensions
Practice - Using List Comprehension
Practice - Using Dictionary Comprehension
Practice - Utilizing Tuple Comprehension
Practice - Converting Tuples to Lists
Example - Constructing Dictionaries from Sequences
Practice - Short For-In Loops with Conditional Statements
Example - Converting Dictionary to Another Dictionary
TASKS - Short For-In Loops
Example - Chaining For-In Expressions
Generators Packt Packt
Generators in For-In Expressions
Practice - Generators and Iteration over the Generator
Decorator Functions Packt Packt
Introduction to Decorator Functions
Example - Verifying User Permissions with Decorator Functions
Example - Logging using Decorator Functions
Example - Validating Arguments with Decorator Functions
Classes and Objects Packt Packt
Classes and Objects
Practice - Understanding Classes and Class Instances
Practice - Adding Instance Attributes through Dot Notation
Adding Instance Attributes using the ..init.. Method
Practice - Incorporating Own Instance Attributes with the ..init.. Method
Instance and Class method Packt Packt
Instance vs Class Methods
Practice - Inheriting Methods by the Instances
Static Class Methods
Practice - Utilizing Static Methods in Classes
Class Attributes
Practice - Working with Class Attributes
Magic Methods in Classes Packt Packt
Magic Methods in Classes
Practice - Utilizing Magic Methods in Classes
Classes Extension Packt Packt
Inheritance from Other Classes
Practice - Extending Classes
Classes in Practice Packt Packt
Example - Creating Forum, User, and Post Classes
Example - Creating Instances of the Forum, User, and Post Classes
Example - Methods for Finding Users by Username and Email
Example - Method for Finding All Posts by a Specific User
Example - Retrieving User Posts by Email
Example - Adding Parameter Types
Example - Wrapping up the Forum, Users, and Posts Example
Key Principles in Object-Oriented Programming (OOP) Packt Packt
Encapsulation in Object-Oriented Programming (OOP)
Inheritance in Object-Oriented Programming (OOP)
Polymorphism in Object-Oriented Programming (OOP)
Abstraction in Object-Oriented Programming (OOP)
Modules Packt Packt
Modules
Practice - Importing Entire Custom Modules
Practice - Selective Imports from Other Modules
Practice - Importing between Different Modules
Practice - Modules in Subfolders
Built-in Modules Packt Packt
Built-in Modules
Practice - Importing from Built-in Modules
What is __name__ and __main__ Packt Packt
Practice - _name_ and _main_
Example - Executing Functions only when Module is run Directly
Practice - Packages in Python
JavaScript Object Notation (JSON) Packt Packt
JavaScript Object Notation (JSON)
Practice - Converting Python Objects to JSON
Practice - Converting from JSON to Python Objects
Practice - Formatting Dictionaries using JSON
TASKS - JSON
Working with Files Packt Packt
Working with Files
Working with Files and Directories using the os Module
Removing Files and Directories using the os Module
Summary of Directory and File Operations using the os Module
Working with Files and Directories using the Path Class
Iterating over Directories and Removing Files using the Path Class
Reading and Writing Files
Writing and Reading Files using the built-in open Function
Using the with Statement
Removing Files using unlink
TASK - Files
Working with zip archives Packt Packt
Built-in zipfile Module and Creating Zip Archives
Reading from the Zip Archive
Working with CSV Files Packt Packt
Working with CSV Files
Iterating over Each Row in the CSV File
Working with Dates and Times Packt Packt
Built-in datetime Module
Examples - Using the datetime Class
Examples - Converting Strings to Datetime Objects
Example - Working with the timedelta Class
Built-in time Module
Generating Random Sequences and Passwords Packt Packt
Built-in random Module
Examples - Utilizing choices and shuffle Methods from the random Module
Built-in secrets Module
Examples - Generating CSRF Tokens, URL-Safe Tokens, and OTP Passwords
Example - Generating Strong Passwords
Math Module and Recursive Functions Packt Packt
Built-in math Module
Recursive Functions
Regular Expressions Packt Packt
Built-in re Module for Regular Expressions
Example - Creating Patterns for Matching
Example - Email Validation using Regular Expressions
Example - Substring Replacement using Regular Expressions
Example - Removing Excessive Spaces using Regular Expressions
TASK - Password Verification
Sending Emails Packt Packt
Running smtp4dev SMTP server in a Docker Container
Sending an Email using SMTP
Formatting an Email using an HTML Template
SMTP Wrap-Up and Removing the Docker smtp4dev Container
Working with SQLite Database Packt Packt
Creating an SQLite3 Database and Table
Writing Data into the SQLite Table
Reading Data from the SQLite Table
SQLite Summary
Other Built-in Modules Packt Packt
Built-in array Module
Saving Arrays to Files and Reading Arrays from Files
Accessing Program Arguments using the built-in sys Module
Built-in webbrowser Module
Virtual Environments Packt Packt
Introduction to PIP - Package Manager for Python
Using a Globally Installed requests Package
Uninstalling Globally Installed Packages using PIP
Creating a Python Virtual Environment
Activation and Deactivation of the Virtual Environment in the Shell
Installing Packages within the Virtual Environment
Saving a List of Installed Packages in a Requirements Text File
Challenges of Package Management using Requirements Files
Pipenv for Virtual Environments Management Packt Packt
Installing pipenv for Virtual Environments Management
Creating a Virtual Environment using pipenv:
Installing Packages using pipenv:
Updating Packages using pipenv:
Recreating Virtual Environment in the Project Folder using pipenv:
Using venv for Virtual Environments in PyCharm:
Using pipenv for Virtual Environments in PyCharm:
Introduction to the Django web framework Packt Packt
Introduction to the Django Web Framework and Project Overview
Model View Controller (MVC) Programming Pattern
Understanding How MVC Pattern is Implemented in Django
Creating a New PyCharm Project and Installing Django
Creating a Django project Packt Packt
Creating a New Django Project
Overview of the manage.py File in Django
Starting and Verifying the Django Server
Overview of Settings in the Django Project
Overview of Default Routing Configuration in Django
Creating a Django Application Packt Packt
Creating the Shop Application in Django
Explaining the Naming of the Django Project as base
Exploring the Contents of the Shop Application
Creating a View Function
Attaching the View Function to a URL:
Adding Shop Application Routes to the Global Project Routing Configuration
Database and Migrations in Django Packt Packt
Applying Default Migrations in the Django Project
Creating an Admin User in the Django Project
Creating Course and Category Models
Enabling the Shop Application in the Django Project
Creating and Applying Migrations for the Shop Application
Modifying Database Models
Creating a Category using the Category Model in the Shell
Creating Courses using the Course Model in the Shell
Creating Categories and Courses in the Admin Interface
Modifying How Courses and Categories are Displayed in the Admin Panel
Sending Course Titles to the Client in the Response
Creating Templates in Django Packt Packt
Creating an HTML Template
Using an HTML Template in the View Function
Populating the HTML Template with Data from the Database
How we Connected Templates, Views, and Models
Adding the Bootstrap CSS Library to the HTML Template
Extending Other Templates in Django Packt Packt
Creating a Base HTML Template for Reuse in Other Templates
Adding a Navigation Bar in the Base Template
TASK - Making the Title of the Web Page Dynamic:
SOLUTION - Making the Title of the Web Page Dynamic:
Creating Multiple routes and View Functions Packt Packt
Creating a Route for the Single Course Web Page
Creating a View Function for the Single Course
TASK - Creating an HTML Template for the Single Course
SOLUTION - Creating an HTML Template for the Single Course
Responding with a 404 When Course is Not Found in the Database
Routing between Pages in Django Packt Packt
Setting Up Routing Between Pages Using Relative or Absolute Paths
Setting Up Routing Based on the Names of the URL Patterns
Considering Application Names in the Routing Setup:
Adding a Link to the All Courses Page
Moving the Templates Folder Out of the Shop Application Folder
Modifying the Model for the Courses
Summary of the Django Shop Application
Installing django-tastypie for the API Django Application
Creating an API Django Application Packt Packt
Creating an API Django Application
Creating Models for the API Application
Configuring Routing for the API Application
Verifying the API Service
Adding Version for the API
Installing Postman and Sending GET and DELETE Requests
Managing Authentication for API Requests Packt Packt
Creating an API Key for the User
Enabling Authentication and Authorization for the Model and Using DELETE Method
Disabling Authentication Only for GET Requests
Creating a New Resource Using POST Method
Properly Connecting the Course to the Category in POST Requests Using Hydrate Method
Adding Dehydrate Method to Modify Data Before Sending to Client
Summary for Setting Up GET, POST, and DELETE Requests
Django Project Refactoring and Admin Settings Packt Packt
Refactoring Routing for the API Application
Setting Up Index Route and Adding Navigation to Navbar
Modifying Administrative Panel
Summary of Django Courses Project
Creating Games with Pygame Packt Packt
Introduction to Pygame and Creating the Game Window
Modifying Background Color of the Game Surface
Displaying a Rectangle in the Game
TASK - Placing Rectangle in the Middle of the Game Window
SOLUTION - Placing Rectangle in the Middle of the Game Window
Moving Rectangle Using Keyboard Arrows
Stopping Rectangle from Moving Outside of the Surface
Creating a Shooter Game with Pygame Packt Packt
Final Shooter Game Overview
Loading Images for the Game and Fighter
Displaying Fighter on the Surface
Moving Fighter Left or Right
Making Fighter Movement Continuous
Adding the Ball to the Game
Showing Ball Based on Fighter Position
Moving the Ball After Firing
Adding the Alien to the Game
Moving the Alien Down the Surface
Interaction of the Elements in the Pygame Packt Packt
Detecting Collision Between Alien and Fighter, Ending the Game
Hitting the Alien with the Ball
Increasing Alien Speed After Each Hit
Adding Hit Counter
Shooter Game Summary
Game Refactoring using Classes and OOP Packt Packt
Start of Shooter Refactoring and Creating the Fighter Class
Adding Methods in the Fighter Class
Creating an Alien Class
Adding Methods in the Alien Class
Creating a Ball Class
Adding Methods in the Ball Class
Creating a Game Class
Adding Methods in the Game Class
Adding Methods for Drawing Elements and Finalizing Refactoring
Game Refactoring Summary
Running the Game After Refactoring
Jupyter Notebook Packt Packt
Installing Jupyter Notebook
Editing in Jupyter Notebook
Order of Execution of Cells in Jupyter Notebook
Adding Markdown, Saving, and Loading Jupyter Notebooks
Jupyter Lab Packt Packt
Installing Jupyter Lab and Editing Notebooks
Exploring Features of Jupyter Lab
Installing External Packages in Jupyter Notebook
NumPy - Creating Arrays Packt Packt
Introduction to NumPy and Creating One-Dimensional Arrays
Two-Dimensional Arrays in NumPy
Understanding Axes in NumPy
Arithmetic Operations with NumPy Arrays
Concatenating NumPy Arrays
Summary of Basic Operations with NumPy Arrays
NumPy – Random Values Packt Packt
Filling a NumPy Array with Zeroes, Ones, or Random Floats
Generating Random Elements Using randint and uniform:
Understanding Seed Number
NumPy arange, reshape, and flatten Methods
NumPy – Examples Packt Packt
NumPy Examples 1 and 2 (One-Dimensional Array):
NumPy Examples 3 and 4 (One-Dimensional Array):
NumPy Example 5 (Two-Dimensional Array):
NumPy Example 6 (Two-Dimensional Array):
NumPy Example 7 (Three-Dimensional Array):
NumPy Summary
Pandas – Working with DataFrames and Series Packt Packt
Introduction to Pandas and Installation
Creating a DataFrame from a Dictionary
Basic Operations with DataFrame
Describing the DataFrame
Finding Null Values in the DataFrame
Finding Columns with Specific Data Type
Series Data Structure in Pandas
Selecting Part of the DataFrame Using loc and iloc Properties
Filtering Data in the DataFrame
Datetime Type in Pandas
Sorting Data in the DataFrame
Adding and Removing Columns and Concatenating DataFrames
Summary of Pandas DataFrames and Series
Pandas – Random Data Working with CSV Packt Packt
Generating Random Data for DataFrames
Creating a DataFrame Using Random Data
Saving DataFrames to CSV Files
Creating DataFrames from CSV Files
Writing DataFrames to Excel and JSON Files
Pandas – Analysing CSV- Loaded DataFrames Packt Packt
Analyzing CSV-Loaded DataFrames
Grouping Data in DataFrames
Displaying Series Data on Plots Using Matplotlib
Summary of Example with Random CSV Data
Matplotlib – Creating Charts Packt Packt
Examples of Plot and Scatter Diagrams Using Matplotlib
Examples of Matplotlib Subplots
Using DataFrames for Creating Diagrams
Boxplots, Area Plots, and Pie Charts
Example of a Heatmap in Matplotlib
Displaying Real-World Data on Various Charts
Scikit – Learn - Machine Learning Packt Packt
Introduction to Scikit-Learn and Installation
Loading and Analyzing Sample Data for Model Creation
Handling Null Values in DataFrame
Attempting to Create a Model for Predicting Target Values
Encoding Non-Numeric Values in Input Data
Building and Predicting with Cleaned and Encoded Data
Summary of Model for Predicting Favorite Transport
Visualizing DecisionTreeClassifier Model
Creating Charts for Data from the Built Model
Evaluating Model Accuracy
Machine Learning Model for Real Data Packt Packt
Loading CSV File with Airline Passenger Satisfaction Data
Analyzing DataFrame with Passenger Satisfaction Data
Filling Null Values with Mean Value
Creating Diagrams for Passenger Data Analysis
Manually Encoding Non-Numeric Values in DataFrame
Encoding Non-Numeric Values Using LabelEncoder
Creating Additional Diagrams After Data Cleaning and Encoding
Filtering DataFrame with Passenger Data
Using DecisionTreeClassifier for Model Creation
Measuring Model Accuracy with DecisionTreeClassifier
Using Other Classifiers for Model Creation
Summary of Airline Passenger Satisfaction Project
Making Machine Learning Model More Real Packt Packt
Removing Passenger Votes from DataFrame
Saving Trained Model for Future Use
Summary of Realistic Model for Passenger Satisfaction Prediction

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Authors (1)

Profile Bogdan Stashchuk
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Bogdan Stashchuk is an experienced instructor (over 20+ years) with a software engineering background. He teaches complex stuff in an easy step-by-step manner. All his courses include practical exercises, which allow the learners to follow him from the start of any course till the end. Learners will perform all tasks the same way he does in his video lectures. There are a lot of challenging assignments, the solutions for which are discussed inside the course. This is the perfect combination that enables you to really learn and retain gained knowledge for a long period of time.
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