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The Complete Python 3 Masterclass - From Beginner To Pro

Name: The Complete Python 3 Masterclass - From Beginner To Pro
Rating: 4.6 (809 reviews)

Python for beginners, Learn Python Programming and build your own Python programs: Data Science, Machine Learning, etc.

Created byDenis Panjuta, Tutorials.eu by Denis Panjuta

Last updated 2/2021

English

What you'll learn

From 0 to 100: From beginner to python all-rounder
Become a sought-after developer
Write real desktop applications with Qt
Use a crawler to extract data from web pages
Challenge yourself with quizzes and exercises
Everything explained with simple examples
Understand the "why" behind it
Evaluate data and create DataScience analyses
Learn and understand object oriented programming

Course content

21 sections • 279 lectures • 27h 23m total length

Introduction5:31
Download the course material here AND DISCORD0:22
Install required tools and Hello World6:42
Udemy Reviews Update0:25
FAQ - Frequently Asked Questions1:15
Get the most from Tutorials.EU0:15

Intro2:25
Important note0:31
Numbers in Python4:55
Learn to work with numbers in Python by printing integers and decimals, performing basic arithmetic like 5+4, and evaluating expressions such as 5/4.
Variables in Python10:07
Learn how to use variables in Python within a Jupyter notebook, including assignment, printing, and simple calculations, then compute averages with multiple variables.
Strings in Python6:18
Explore strings in Python by creating string literals, concatenating them with variables, resolving type errors when mixing strings and integers, and converting numbers to strings.
Number or String?
[skip if solved] Sample solution Quiz: Number or String4:39

Lists in Python9:42
Lists in Python
[skip if solved] Sample solution Quiz: Lists in Python2:58
Learn how to work with lists in Python: define lists with square brackets and commas, access the third element using zero-based indexing, and use append to add items.
Lists - pop function3:15
Handout: Lists in Python0:06
Motivation0:30
Convert Data 15:07
Convert Data 27:16
Comments3:06
Comment s in Python
[skip if solved] Sample solution Quiz: Comments1:49
Explore how Python comments work using hash symbols. Predict which lines print when mixed with commented and uncommented print statements in a short quiz.
For your reading0:08
Exercise Sheet0:26
[skip if solved] Sample solution Python Basics15:20

Intro3:04
if, else5:32
Comparison Operators7:22
Connect Expressions And Booleans11:33
Leaflet: Comparison Operators0:05
If & Booleans
[skip if solved] Sample solution Quiz: If & Booleans3:39
The In Operator5:09
The Not Operator4:43
Leaflet: Operators and Lists0:07
The Not Operator
[skip if solved] Sample solution Quiz: The Not Operator6:24
elif5:38
Use elif to replace nested else-if chains when checking currencies like dollar, yen, euro, and Thai baht, printing the match and improving readability; only the first true branch executes.

While Loop4:51
Master how the while loop repeats code while a condition stays true, updates a counter to avoid infinite loops, and uses indentation to define the loop body.
For Loop3:52
Learn how to use python for loops with ranges and lists, iterating values such as 0–9 and 5, 8, 10, and decide when to use for loops versus while loops.
When To Use Which Loop?2:13
In, Loops,...
[skip if solved] Sample solution Quiz: In, Loops,...3:23
Loops (break, continue)7:40
Explore Python loops with for range 0 to 10 and learn break and continue, including how continue skips iterations and break exits the loop, illustrated by a weight-check elevator example.
Excursus: How to Handle Problems6:54
Project: Trump Twitter Bot13:18
Leaflet: Loops0:07
Challenge Sheet Control Structures0:13
[skip if solved] Sample solution Challenge Control Structures18:46

Intro2:12
Functions6:47
Learn to define and call Python functions with def, pass parameters, and pass arguments, enabling reusable code for tasks like printing messages and handling simple errors.
Functions 25:53
Outlook - Objects4:19
Explore objects in Python by creating lists, printing them, and appending items. Understand how variables act as objects, how classes define behavior, and how strings are split.
Intro: Opening a File1:17
Open, read, and write files in Python to persist data across sessions, using CSV for tabular data like attendance lists.
Open a File6:24
Write a File4:23
Learn to write files in Python by opening a file in write mode, writing text, closing the file, using line breaks, and appending or writing lists with a for loop.
File And the With Keyword4:21
Open CSV5:05
Learn to open and read CSV files in Python, handle semicolon-separated values and line breaks, extract city names and populations, and present data in a clean tabular format.
Read And Skip Rows in CSV5:05
Excursus: Drawing Graphics4:02
Info: Birth statistics0:48
Birth Statistics13:22
Challenge Birthstatistics4:20
Practice counting how many mxs were given as male first names in California from 1950 through 2000 using Python, handling string to int conversion and header rows.
Quiz Double Checking Your Solution
[skip if solved] Sample solution Challenge Birth Statistics7:55
Read and parse a data file in Python, split lines by comma, and filter by year 1950–2000, male gender, and California to count occurrences of the name Max.
Leaflet: Functions and Methods0:06
Challenge Paper - Functions0:12
Tips on how to solve Functions Challenge4:00
[skip if solved] Sample solution Challenge Functions9:45

Lists Intro0:55
Working with Lists3:07
List Slicing6:22
Master list slicing in Python by using negative and positive indices to extract sublists and strings, learn about exclusive end, and apply to examples like hello world.
List Slicing
[skip if solved] Sample solution Quiz: List Slicing3:49
List Comprehension9:43
Outlook - Tuple & Dictionaries2:48
Dictionaries8:06
Dictionaries
[skip if solved] Sample solution Quiz: Dictionaries3:29
Tupel5:37
Packing and Unpacking of Tuples7:20
Dictionaries and Loops2:55
Challenge: Dictionaries & Loops3:25
Tips: Dictionaries & Loops5:21
Check Your Solution: Challenge Dictionaries & Loops
[skip if solved] Sample solution Challenge Dictionaries & Loops9:04
Nest Data Structures3:39
Learn to nest lists in Python, create lists within lists to model data like cities, access elements with indices, and use dictionaries with immutable keys to organize students by subject.
Leaflet: Dictionaries, Lists and Tuples0:03
The leaflets on dictionaries, lists, and tuples can be found in the appendix :)

Intro3:16
Class and Method15:41
Constructor and Methods9:49
Implement constructors in Python using __init__ to ensure every student object has a first name and last name. Add an increase_term method to manage semesters.
Why Private Properties and Methods?4:32
Explore how visibility of methods and variables controls access in programming, using a supermarket analogy to show private attributes and encapsulation.
Private Properties and Methods9:19
Why do We Encapsulate Data?8:27
Special Methods8:09
Inheritance in Python14:55
Learn inheritance in Python by building a student and a working student, using super to share initialization, overriding methods, and applying polymorphism to manage mixed class instances.
Challenge: Inheritance and Object Orientation3:09
[skip if solved] Sample solution Challenge: Inheritance and Object Orientation8:33
Check Types Of Variables6:26
Learn to check variable types in Python with type and isinstance using student and working student classes, and see how inheritance affects type checks.
In Python Everything is an Object5:33
How to name Variables, Classes and Methods3:07
Static Variables4:19
Leaflet: Object Orientation0:02
Challenge: Object Orientation0:13
[skip if solved] Sample solution Challenge: Object Orientation13:09

Intro4:50
Excursus: What is HTML?6:47
Get HTML Code5:55
beautifulsoup11:38
Excursus: CSS-Selectors 19:06
Excursus: CSS-Selectors 26:47
Find Elements 115:41
Find Elements 210:08
Find Elements - urllib5:43
Challenge: Crawl Multiple Pages7:11
Solution: Crawl Multiple Pages13:08
Note: Encoding, Writing a File0:37
Note on the next lessons:
In the next lesson you will describe a file with Python. Occasionally under Windows it happens that the.csv file cannot be created and the procedure throws a "UnicodeEncodeError" as error. This error means that Windows does not know how to write the special character (here: smileys, e.g.
Challenge: Store Results as CSV0:52
Export articles to CSV using a CSV writer, save the file in the notebook, and use a semicolon separator with double quotes for Excel compatibility.
Solution: Store Results as CSV5:31
Open CSV File with Excel0:04
Generators8:29
Discover how generators in Python yield values on the fly, avoiding full list creation and enabling a crawler to display only the first few articles as needed.
Use Generators with a Crawler3:59
Install PyCharm and Make a Real Program from our Crawler6:19
install PyCharm community edition, set up a Python project with an Anaconda interpreter, and create a crawler project, configuring themes, plugins, and package indexing for a functional program.
Make a Real Program from our Crawler8:37

Requirements

No programming skills are required
A computer (Windows / Mac / Linux) with an Internet connection is sufficient

Description

This course makes you a professional Python 3 developer- no matter if you are a Python beginner, have already programmed a bit, or just want to discover the advanced features of Python 3. It is the ideal Python for beginners course.

This course contains over 250 lessons, countless quizzes, tests, practical projects, fact sheets, and exercises - the easiest way if you want to become a Python 3 developer.

NO PROGRAMMING SKILLS ARE REQUIRED - PYTHON FOR BEGINNERS

First a small overview of what this course offers you:

Understand the basics of Python 3 development
Understand object orientation
Develop your own applications in Python 3 development
Challenge your knowledge with various quizzes and exercises
Easy repetition of knowledge: Extensive fact sheets

Various practical examples:

Extract data from web pages with a web crawler
Write real desktop applications with Qt
Develop a web server with Flask
Apply Data Analysis with Python 3
Develop a face detection software
Develop a simple machine learning application
And much more...

Python 3 is an incredibly cool programming language that can be used for various purposes. Therefore, it is not only important that you learn Python yourself, but also which tools complement Python perfectly. And that's why I developed this Python for beginners course - to make you a highly skilled in Python development, no matter what direction you want to go after the course.

After completing this Python for beginners course you can write desktop applications, master Python website development, extract data from other websites, collect additional data via cool forms, and evaluate it automatically with Python - the complete workflow.

To this end, we will look at various additional tools in the course:

The Data Science - Stack: Numpy, Pandas and Matplotlib
Web - Crawling with "requests" and "beautifulsoup"
Web - Development with Flask
Interactive programs with Jupyter notebooks
Desktop applications with PyQt

My goal is that after completing this Python for beginners course you will be very good at Python development - no matter what purpose you want to use Python for later. This makes you perfectly prepared for future jobs and projects.

Frameworks allow you to save loads and loads of effort and time, when building your programs.

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

In computer programming, pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series for maximum Python development capabilities.

Build a web crawler with "requests" and "beautifulsoup" which allows you to read data from a website and reuse it how ever you like.This is a super powerful tool, which comes in handy in so many occasions.

With Flask you can build websites with Python. Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. So you can get started with it super fast.

In this Python for beginners course you will also learn how to use PyQt. With PyQt you can build beautiful GUIs (Graphical User Interfaces). Either with code, or by just using the Qt Creator, which allows you to drag and drop your UI elements onto your Window. That is not only convenient, but also decreases the development time, required to build desktop applications.

Machine learning is a super interesting and demanded area. Python is the programming language to go with, when it comes to Machine Learning. So hop aboard and ride with the Python hype train. As you will learn the basics of machine learning with Python in this Python for beginners course. At the end you are skilled in Python development to the highest degree.

HOW IS THE PYTHON FOR BEGINNERS COURSE STRUCTURED:

First you learn, how the very basics of Python work. This includes variables, functions, loops, if statements, etc.

Then you learn how to use object oriented programming. These skills whill not only help you with Python programming, but also with other programming Languages. As soon as you feel confortable with those skills, you will learn more advanced topics and build more and more interesting and real world applications such as a web crawler, a twitter bot, a website with flask, data science with numpy, pandas and matplotlib.Each chapter contains multiple quizzes, leaflets/handouts and exercises, which help you to progress steadily.

So you see, the course will make you a complete Python developer in no time.

WHO IS THIS COURSE FOR?

The course is for anyone, who wants to learn Python and wants to become professionally good in Python programming. No experience is required what so ever. It is for total Python beginners. It is designed that anyone who can handle a mouse and keyboard will succeed finishing it. The only real requisite is the desire to learn.

30-DAY FULL MONEY-BACK GUARANTEE

This Python for beginners course comes with a 30-day full money-back guarantee. Take the course, watch every lecture, and do the exercises, and if you feel like this Python for beginners course is not for you, ask for a full refund within 30 days. All your money back, no questions asked.

ABOUT YOUR INSTRUCTOR:

My name is Denis Panjuta and in my courses I have taught over 50.000 students how to code. I have a Bachelor of Engineering at the University of Applied Sciences in Constance (Germany). I love teaching and creating high quality courses. My mission is, to teach programming to over 100.000 people!

As you see, this is the only Python course you will ever need!

You will learn all the Python fundamentals, all Python basics and everything that you need to know to succeed in Python programming and building your own cool applications.

So don’t waste any more time and start to make your dreams and ideas come true by taking this course now!

Who this course is for:

Beginners who want to get started with the programming language Python
Advanced developers who want to experience various Python application scenarios
In short: who want to use Python productively - whether as a hobby or for the job

The Complete Python 3 Masterclass - From Beginner To Pro

What you'll learn

Explore related topics

Course content

Introduction6 lectures • 15min

Python Basics6 lectures • 29min

Python Bascis Part 212 lectures • 50min

Control Structures11 lectures • 53min

Control Structures Part 210 lectures • 1hr 1min

Functions19 lectures • 1hr 30min

Lists in Python16 lectures • 1hr 16min

Object Oriented Programming17 lectures • 1hr 59min

Module in Python7 lectures • 46min

Crawler19 lectures • 2hr 11min

Requirements

Description

Who this course is for: