The Complete Python 3 Masterclass From Beginner To Pro
Python for beginners, Learn Python Programming and build your own Python programs: Data Science, Machine Learning, etc.
This course includes:
✔ Masterclass
✔ Unlimited Access
✔ 279 Lectures
✔ 27 Hrs of Videos
✔ Access from Mobile
✔ Certificate
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
Course Curriculum
- Lists in Python (9:42)
- Quiz 2: Lists in Python
- [skip if solved] Sample solution Quiz: Lists in Python (2:58)
- Lists - pop function (3:15)
- Handout: Lists in Python
- Motivation
- Convert Data 1 (5:07)
- Convert Data 2 (7:16)
- Comments (3:06)
- Quiz 3: Comment s in Python
- [skip if solved] Sample solution Quiz: Comments (1:49)
- For your reading
- Exercise Sheet
- [skip if solved] Sample solution Python Basics (15:20)
- Intro (3:04)
- If Else (5:32)
- Comparison Operators (7:22)
- Connect Expressions And Booleans (11:33)
- Leaflet: Comparison Operators
- Quiz 4: If & Booleans
- [skip if solved] Sample solution Quiz: If & Booleans (3:39)
- The In Operator (5:09)
- The Not Operator (4:43)
- Leaflet: Operators and Lists
- Quiz 5: The Not Operator
- [skip if solved] Sample solution Quiz: The Not Operator (6:24)
- Elif (5:38)
- While Loop (4:51)
- For Loop (3:52)
- When To Use Which Loop? (2:13)
- Quiz 6: In, Loops,...
- [skip if solved] Sample solution Quiz: In, Loops,... (3:23)
- Loops (break, continue) (7:40)
- Excursus: How to Handle Problems (6:53)
- Project: Trump Twitter Bot (13:18)
- Leaflet: Loops
- Challenge Sheet Control Structures
- [skip if solved] Sample solution Challenge Control Structures (18:46)
- Intro (2:12)
- Functions (6:47)
- Functions 2 (5:53)
- Outlook - Objects (4:19)
- Intro: Opening a File (1:17)
- Open a File (6:24)
- Write a File (4:23)
- File And the With Keyword (4:21)
- Open CSV (5:05)
- Read And Skip Rows in CSV (5:05)
- Excursus: Drawing Graphics (4:02)
- Info: Birth statistics
- Birth Statistics (13:22)
- Challenge Birthstatistics (4:20)
- Quiz Double Checking Your Solution
- [skip if solved] Sample solution Challenge Birth Statistics (7:55)
- Leaflet: Functions and Methods
- Challenge Paper - Functions
- Tips on how to solve Functions Challenge (9:45)
- [skip if solved] Sample solution Challenge Functions (4:00)
- Lists Intro (0:55)
- Working with Lists (3:07)
- List Slicing (6:22)
- Quiz 8: List Slicing
- [skip if solved] Sample solution Quiz: List Slicing (3:49)
- List Comprehension (9:43)
- Outlook - Tuple & Dictionaries (2:48)
- Dictionaries (8:06)
- Quiz 9: Dictionaries
- [skip if solved] Sample solution Quiz: Dictionaries (3:29)
- Tuple (5:37)
- Packing and Unpacking of Tuples (7:20)
- Dictionaries and Loops (2:55)
- Challenge: Dictionaries & Loops (3:25)
- Tips: Dictionaries & Loops (5:21)
- Quiz 10: Check Your Solution: Challenge Dictionaries & Loops
- [skip if solved] Sample solution Challenge Dictionaries & Loops (9:04)
- Nest Data Structures (3:39)
- Leaflet: Dictionaries, Lists and Tuples
- Intro (3:16)
- Class and Method (15:41)
- Constructor and Methods (9:49)
- Why Private Properties and Methods? (4:32)
- Private Properties and Methods (9:19)
- Why do We Encapsulate Data? (8:27)
- Special Methods
- Inheritance in Python (14:55)
- Challenge: Inheritance and Object Orientation (3:08)
- [skip if solved] Sample solution Challenge: Inheritance and Object Orientation (8:33)
- Check Types Of Variables (6:26)
- In Python Everything is an Object (5:33)
- How to name Variables, Classes and Methods (3:07)
- Static Variables (4:19)
- Leaflet: Object Orientation
- Challenge: Object Orientation
- [skip if solved] Sample solution Challenge: Object Orientation (13:09)
- Intro (4:50)
- Excursus: What is HTML? (6:47)
- Get HTML Code (5:55)
- beautifulsoup (11:38)
- Excursus: CSS-Selectors 1 (9:06)
- Excursus: CSS-Selectors 2 (6:47)
- Find Elements 1 (15:41)
- Find Elements 2 (10:08)
- Find Elements - urllib (5:43)
- Challenge: Crawl Multiple Pages (7:11)
- Solution: Crawl Multiple Pages (13:08)
- Note: Encoding, Writing a File
- Challenge: Store Results as CSV (0:52)
- Solution: Store Results as CSV (5:31)
- Open CSV File with Excel
- Generators (8:29)
- Use Generators with a Crawler (3:59)
- Install PyCharm and Make a Real Program from our Crawler (6:19)
- Make a Real Program from our Crawler (8:37)
- Overview: What are Data Structures? (1:15)
- Data Structure: Set (5:44)
- Challenge: Sets (0:45)
- Quiz 12: Test your Solution: Sets
- Sample Solution: Sets (6:36)
- Quiz 13: Data Structures
- Sample Solution: Quiz Data Structures (7:29)
- Data Structure: queue (3:31)
- Data Structure: priority queue (6:17)
- Challenge: Priority Queue (1:01)
- Overview: Data Strcutures
- Quiz 14: Check Your Solution: Priority Queue
- Sample Solution: Priority Queue (9:28)
- Relevant Readings
- Intro (1:57)
- Excursus name Functions Parameters (4:20)
- Excursus - How to pass a Functions Argument (8:14)
- Pass Variable Amount of Arguments (7:24)
- Pass Variable Amount of Arguments Part 2 (9:28)
- Leaflet: Pass Variable Amount of Arguments
- Sort Data (7:00)
- Lambda Functions (4:57)
- User-Tipp: Regular Expressions
- Use Regular Expressions (14:46)
- Exercise: Functions Parameters and Lambda Functions
- Sample Solution: Functions Parameters and Lambda Functions (11:24)
- Working With Dates And Their Values (8:35)
- Format Date Entries And Read Them (6:14)
- TimeDelta (3:26)
- Leaflet: Dates in Python
- Quiz 15: Date Functions
- Sample Solution: Date Functions (5:00)
- Enhanced String Functions (10:21)
- Leaflet: Strings
- Format Strings (8:13)
- Leaflet: Format Strings
- Quiz 16: String - Functions
- Sample Solution: Quiz String Functions (4:40)
- DefaultDict (6:56)
- Outlook, What To Expect In This Chapter (2:18)
- Python Programs With PyCharm (2:02)
- Start Python Programs With Terminal (9:11)
- Start Python Programs With Terminal (Windows) (5:42)
- Start Python Programs via Shortcut (Windows) (4:39)
- The input() Function (6:38)
- Challenge BMI Calculator (0:59)
- Solution: BMI Calculator (7:29)
- sys.argv in Python (10:54)
- Working with Folders (11:05)
- Os Path Join With Multiple Parameters and Dot Dot (10:51)
- Charset UTF-8 (5:29)
- Open Files With UTF-8 (5:03)
- Challenge - How Many Max's? (1:45)
- Quiz 17: Check Your Solution: How Many Max's?
- Sample Solution: How Many Max's (14:11)
- Intro (1:37)
- Jupyter As IDE (10:09)
- Jupyter Notebooks Markdown (4:30)
- Using Mathematical Expressions in Jupyter Notebooks (4:14)
- Problem: Jupyter Widget Not Displaying?
- Jupyter Widgets (9:47)
- Interact With Jupyter Notebooks (8:03)
- Challenge: Jupyter Widgets (1:58)
- Excursus: Write CSV Files (4:56)
- Sample Solution: Jupyter Widgets (16:47)
- Intro (3:21)
- Note
- Excursus HTML 1 (6:55)
- Excursus HTML 2 (8:51)
- Excursus CSS 1 (11:08)
- Excursus CSS 2 (7:00)
- Info about Course Materials
- Hello World in Flask (7:12)
- Generate HTML-Code with Flask (7:05)
- Static (5:00)
- Template (10:35)
- Template Inheritance (12:30)
- Style our Navigation (19:46)
- Pass URL-Parameter (5:23)
- Submit Formulars per GET (7:24)
- Fill Input Field (5:10)
- Solution: Fill Input Field (2:59)
- Pass Classes and Dictionaries to a View (7:34)
- Pass Tuple to View (2:30)
- View vs Python - File for Logic (3:21)
- Challenge: Exchange Rates (1:52)
- Info - dictionary.get (3:55)
- Excursus HTML - How to create a Table (5:00)
- Excursus HTML - How To Split Your Page (4:46)
- Sample Solution 1 (17:48)
- Sample Solution 2 (10:10)
- Sample Solution 3 (3:12)
- Decorators 1 (15:38)
- Decorators 2 (9:48)
- Decorators 3 (6:04)
- Flask - What's next? (5:47)
- Intro (8:31)
- Numpy Intro (7:18)
- Filter Numpy Arrays (4:20)
- Numpy and Multi Dimensional Arrays (5:39)
- How Does Numpy Actually Work? (7:53)
- Pandas - Intro (10:27)
- Pandas - Filter Data (10:14)
- Pandas - Sort Data (2:28)
- Pandas - Draw Graphic Based On Excel Data (5:47)
- Challenge: Pandas (1:21)
- Solution: Pandas (6:39)
- Matplotlib intro (4:25)
- Matplotlib graphic - parameters (8:03)
- When To Use Which Diagram Type? (5:02)
- Different Diagram Types (4:16)
- Overview: The Datascience- Stack
- Quiz 18: Data Science - Stack
- [skip if solved] Sample solution Quiz: Data Science - Stack (2:17)
- Machine Learning (9:01)
- Machine Learning With Linear Regression (20:47)
- QT Intro (4:20)
- Installing qt and pyqt and qtpy (6:56)
- First Desktop Application with pyqt (9:34)
- Build UI with drag and drop (11:48)
- Qt Creator 1 (10:35)
- Qt Creator 2 (10:38)
- Qt Creator 3 (7:08)
- Concept: Signals and Slots (3:17)
- Signals and Slots (5:01)
- Signals and Slots Python (8:00)
- Restructor Python Code (7:24)
- Read Input and access Properties (8:31)
- Build BMI Calculator 1 (8:01)
- Challenge: Build BMI Calculator (4:42)
- Sample Solution BMI Calculator (11:54)
- Naming Functions and Variables (3:22)
- Datatype Conversion pyqt - cpp (7:31)
- Introduction to Tables - Widget (9:48)
- The Table - Widget 2 (7:08)
- Configure Properties based on Table Widget (8:21)
- Documentation and reacting to Cell Entries (13:15)
- Challenge - Read CSV, Display and store (1:49)
- Hints for - Challenge - Read CSV, Display and store Data (3:12)
- Sample Solution - Challenge - Read CSV, Display and store 1 (4:09)
- Sample Solution - Challenge - Read CSV, Display and store 2 (8:21)
- Sample Solution - Challenge - Read CSV, Display and store 3 (7:30)
- Sample Solution - Challenge - Read CSV, Display and store 4 (12:25)
- Add a Menu (3:25)
- Finish (4:24)
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.
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!
Hi, I’m Denis Panjuta
I have a degree in engineering from the University for Applied Science Konstanz in Germany and discovered my love for programming there. With 9 years of programming in different areas & 8 years of experience as a teacher, I have set out to accomplish my mission.
Currently over 250,000 students learn from my courses. This gives me a lot of energy to create new courses with the highest quality possible. My goal is to make learning to code accessible for everyone, as I am convinced, that “Programming is the future.” My mission is, to teach programming to over 10.000.000 people!
So join my courses and learn to create apps, games, websites or any other type of application. The possibilities are limitless.