The Complete Python 3 Masterclass From Beginner To Pro

The Complete Python 3 Masterclass – From Beginner To Pro, available at $79.99, has an average rating of 4.25, with 280 lectures, 18 quizzes, based on 802 reviews, and has 3461 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginners who want to get started with the programming language Python or Advanced developers who want to experience various Python application scenarios or In short: who want to use Python productively – whether as a hobby or for the job It is particularly useful for Beginners who want to get started with the programming language Python or Advanced developers who want to experience various Python application scenarios or In short: who want to use Python productively – whether as a hobby or for the job.

Enroll now: The Complete Python 3 Masterclass – From Beginner To Pro

Summary

Title: The Complete Python 3 Masterclass – From Beginner To Pro

Price: $79.99

Average Rating: 4.25

Number of Lectures: 280

Number of Quizzes: 18

Number of Published Lectures: 279

Number of Published Quizzes: 18

Number of Curriculum Items: 298

Number of Published Curriculum Objects: 297

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Download the course material here AND DISCORD

Lecture 3: Install required tools and Hello World

Lecture 4: Udemy Reviews Update

Lecture 5: FAQ – Frequently Asked Questions

Lecture 6: Get the most from Tutorials.EU

Chapter 2: Python Basics

Lecture 1: Intro

Lecture 2: Important note

Lecture 3: Numbers in Python

Lecture 4: Variables in Python

Lecture 5: Strings in Python

Lecture 6: [skip if solved] Sample solution Quiz: Number or String

Chapter 3: Python Bascis Part 2

Lecture 1: Lists in Python

Lecture 2: [skip if solved] Sample solution Quiz: Lists in Python

Lecture 3: Lists – pop function

Lecture 4: Handout: Lists in Python

Lecture 5: Motivation

Lecture 6: Convert Data 1

Lecture 7: Convert Data 2

Lecture 8: Comments

Lecture 9: [skip if solved] Sample solution Quiz: Comments

Lecture 10: For your reading

Lecture 11: Exercise Sheet

Lecture 12: [skip if solved] Sample solution Python Basics

Chapter 4: Control Structures

Lecture 1: Intro

Lecture 2: if, else

Lecture 3: Comparison Operators

Lecture 4: Connect Expressions And Booleans

Lecture 5: Leaflet: Comparison Operators

Lecture 6: [skip if solved] Sample solution Quiz: If & Booleans

Lecture 7: The In Operator

Lecture 8: The Not Operator

Lecture 9: Leaflet: Operators and Lists

Lecture 10: [skip if solved] Sample solution Quiz: The Not Operator

Lecture 11: elif

Chapter 5: Control Structures Part 2

Lecture 1: While Loop

Lecture 2: For Loop

Lecture 3: When To Use Which Loop?

Lecture 4: [skip if solved] Sample solution Quiz: In, Loops,

Lecture 5: Loops (break, continue)

Lecture 6: Excursus: How to Handle Problems

Lecture 7: Project: Trump Twitter Bot

Lecture 8: Leaflet: Loops

Lecture 9: Challenge Sheet Control Structures

Lecture 10: [skip if solved] Sample solution Challenge Control Structures

Chapter 6: Functions

Lecture 1: Intro

Lecture 2: Functions

Lecture 3: Functions 2

Lecture 4: Outlook – Objects

Lecture 5: Intro: Opening a File

Lecture 6: Open a File

Lecture 7: Write a File

Lecture 8: File And the With Keyword

Lecture 9: Open CSV

Lecture 10: Read And Skip Rows in CSV

Lecture 11: Excursus: Drawing Graphics

Lecture 12: Info: Birth statistics

Lecture 13: Birth Statistics

Lecture 14: Challenge Birthstatistics

Lecture 15: [skip if solved] Sample solution Challenge Birth Statistics

Lecture 16: Leaflet: Functions and Methods

Lecture 17: Challenge Paper – Functions

Lecture 18: Tips on how to solve Functions Challenge

Lecture 19: [skip if solved] Sample solution Challenge Functions

Chapter 7: Lists in Python

Lecture 1: Lists Intro

Lecture 2: Working with Lists

Lecture 3: List Slicing

Lecture 4: [skip if solved] Sample solution Quiz: List Slicing

Lecture 5: List Comprehension

Lecture 6: Outlook – Tuple & Dictionaries

Lecture 7: Dictionaries

Lecture 8: [skip if solved] Sample solution Quiz: Dictionaries

Lecture 9: Tupel

Lecture 10: Packing and Unpacking of Tuples

Lecture 11: Dictionaries and Loops

Lecture 12: Challenge: Dictionaries & Loops

Lecture 13: Tips: Dictionaries & Loops

Lecture 14: [skip if solved] Sample solution Challenge Dictionaries & Loops

Lecture 15: Nest Data Structures

Lecture 16: Leaflet: Dictionaries, Lists and Tuples

Chapter 8: Object Oriented Programming

Lecture 1: Intro

Lecture 2: Class and Method

Instructors

Denis Panjuta
Teaches over 400,000 students to code

Tutorials.eu by Denis Panjuta
Online Course Creation

Rating Distribution

1 stars: 9 votes

2 stars: 7 votes

3 stars: 74 votes

4 stars: 271 votes

5 stars: 441 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!