Python PRO: From Zero to Developer
online course
Master Python from zero to pro: from basic syntax to creating complex applications, accessible and understandable even for beginners!
Ideal for beginners - no prior IT knowledge or experience needed.
Learn at your convenience from anywhere in the world.
Practical - immediately consolidate the acquired skills on real tasks.
Python developers are among the most sought-after professionals in IT
They develop web applications, create chatbots and automate business processes.
study of specialists at different levels
9200 companies
Junior (1-3 years experience)
You have experience in a related field or have just completed your training
You have experience in a related field or have just completed your training
from $30,000 per year
Intermediate
You have 2-3 years of active work in the development field
You have 2-3 years of active work in the development field
from $50,000 per year
Seniors
You have more than 3 years of development experience in Python
You have more than 3 years of development experience in Python
from $60,000 per year
This course is ideal for:
Course Expert
Python PRO: From Zero to Developer
Alexey Shved
Leading Python developer
Leading Python developer
Over 12 years of experience in data development and analysis. Started as an analyst and now is a lead Python developer at a large IT company specializing in building scalable web applications.
You will master Python programming, learn to work with different frameworks and databases.
Beginners aspiring to a career in IT.
The course will give you the opportunity to learn new skills and put them into practice, giving you access to new projects and opportunities.
IT professionals looking to change their profile.
The course will give you the opportunity to learn new skills and put them into practice, giving you access to new projects and opportunities.
Python development engineers looking to update their knowledge.
Course Program
- Introduction
- IMPORTANT FAQ - Frequently Asked Questions
- Note on assignments
- Installing Python
- Assignment for the lesson “Installing IntelliJ IDEA” for Window
- Installing IntelliJ IDEA
- Installing Python
- Assignment for the lecture “Installing IntelliJ IDEA” for Mac OS X
- Installing IntelliJ IDEA
- Hello world!
- Displaying text on the screen
- Data types
- Numbers. int & float
- Calculating arithmetic expressions
- Variables
- Creating variables
- Strings
- Working with strings
- Strings. Indexing & Slicing
- Indexing & Slicing
- Properties of strings. Methods
- Formatting strings
- Lists
- Dictionaries
- Tuples
- Sets
- Notes for the lecture “Booleans. Comparison operators.”
- Booleans. Comparison operators
- Logical operators
- Conditional operator if elif else
- For loop
- While loop
- Some frequently used functions and operators
- List Comprehension
- Dictionary and Set Comprehension
- Nested loops
- Nested Lists
- Functions. Introduction
- Creating functions
- args. **kwargs
- Lambda expressions
- Scope of variables
- Object Oriented Programming (OOP). Introduction
- Attribute
- Methods
- Class methods
- Inheritance. Polymorphism
- Multiple inheritance
- Method Resolution Order (MRO)
- Special (magic) methods
- Built-in modules
- Creating your own modules
- External modules
- name and 'main'
- Reading text files
- Writing text files
- Binary number system
- Writing binary files
- The pickle module
- Shelve module
- Working with data using shelve module
- Updating data with shelve
- Converting a dictionary to a shelve object
- Error types
- Calling errors
- try except
- else finally
- Iterable & iterator
- Custom iterable
- Generator functions
- Day of the week generator
- Even-Odd
- Infinite generators
- Infinite number squares generator
- Generator expressions
- Higher order functions
- Getting to know decorators
- @wraps
- Create a print_args decorator
- Speed testing
- Create decorator hello_from_decorator
- Check arguments
- Create decorator prohibit_more_than_2_args
- Decorators with arguments
- Create the wait decorator
- Assertions
- unittest
- Test Driven Development (TDD)
- Methods of unittest
- SetUp() and tearDown() methods. Class Testing
- What is HTTP
- Module requests
- What is API
- Working with API
- Earthquake App. Task
- Earthquake App. Solution
- Web Scraping. Introduction
- HTML & CSS
- BeautifulSoup
- Data Extraction
- Extracting data hierarchically
- Quotes scraping
- Working with CSV files. Introduction
- Reading files. reader()
- Reading files. DictReader()
- Writing to a file. writer()
- Writing to a file. DictWriter()
- Quotes scraping. Query
- Quotes scraping. Solution
- Create the add_student() function
- Create print_students() function
- Working with a database. Introduction
- Creating a database
- Inserting data
- Reading data
- Editing and deleting data
- Creating a database using Python
- Inserting data with Python
- Reading, editing and deleting data with Python
- SQL Injection
- Save Earthquakes Task
- Save Earthquakes Decision
- Module collections. Counter
- Module collections. defaultdict
- Module collections. namedtuple()
- Time module. Part 1
- Time module. Part 2
- Time module.Part 3
- Module time. Part 4
- Quiz. Quiz.
- Quiz.Solution
- Datetime module.pytz package
- Retrieving timezone information
- Datetime module. Date class
- Datetime module. Datetime class
- Module datetime. Class timedelta
- Timezones. Task
- Timezones. Solution
- Note for the lecture “Working with dates and time. Best practices”
- Working with dates and time. Best practices
- GUI - Graphical User Interface. Tkinter. Introduction
- Widget Placement
- Pack Geometry Manager
- Place Geometry Manager
- Grid Geometry Manager
- ttk module
- Interface Overview
- Tk concepts
- ttk widgets. Frame
- ttk widgets. Label
- ttk widgets. Button, Checkbutton, Radiobutton
- ttk widgets. Entry, Combobox
- Grid Geometry Manager. UI example
- Tkinter assignment
- “High five!” application. Pack Geometry Manager
- Application “High five!”. Grid Geometry Manager
- Temperature converter. Task
- Temperature converter. Solution. Part 1
- Temperature converter. Solution. Part 2
How is Python used in real life?
- Introduction
- What will you learn in this course?
- Web Development
- Django Installation
- Project overview
- Urls.py
- Templates
- Assignment 1 lecture notes
- Assignment 1
- Assignment 1. Solution
- Git
- Task 2
- Assignment 2. Solution
- Create reverse.html
- Getting text
- Task 3
- Task 3. Solution
- Vice Versa. Project files
- Introduction
- Course Overview
- How the WEB works. Interaction between client and server
- Installing Windows tools
- Installing MacOS tools
- Flask application structure. File app.py
- Flask application structure. Templates
- Flask application structure. Static files
- Jinja 2. For & If
- Jinja 2. Template inheritance
- Using Bootstrap in an application. Adding styles
- Introduction
- Data Science Tools. Anaconda
- Data Science Tools. Jupyter Notebook
- Data Analysis. NumPy arrays
- Note for the lecture “Data Analysis. NumPy Arrays”
- Data Analysis. NumPy arrays
- Data Analysis. One-dimensional arrays
- Data analysis. Two-dimensional arrays
- Indexing & Slicing
- Data Analysis. Array Operations
- Array Operations
- Introduction
- Introduction. Course overview
- Introduction. Python - a brief overview
- Introduction. Qt - a brief overview
- Introduction. Graphical User Interfaces - GUIs
- Introduction. PyQt5, PySide2, SIP
- Overview and installation of tools. A brief overview of the tools
- Overview and installation of tools. Installing Python and PyCharm on Windows
- Tool Overview and Installation. Installing Python and PyCharm on macOS
- Overview and installation of the tools. Installing the necessary packages
- First PyQt5 code. First PyQt5 program
- First PyQt5 code. Second PyQt5 program - Object Oriented
- First PyQt5 code. Signals & Slots
- A brief overview of objects in Python. What is an object?
- A brief overview of objects in Python. Definition
- A brief overview of objects in Python. String representation of an object
- A brief overview of objects in Python. Inheritance
- A brief overview of objects in Python. Private Properties and Methods
- Principles of object-oriented programming (OOP)
- Predefined dialogs. QMessageBox dialog
- Predefined dialogs. Receiving user input with
- QInputDialog
- Predefined dialogs. Selecting a file using QFileDialog
- Predefined dialogs. QColor and the QColorDialog class
- Predefined dialogs. QFont and the QFontDialog class
- Working with dates and time in Qt
- Working with images in Qt
- Simple QWidgets. QWidget class
- Simple QWidgets. QLabel
- Simple QWidgets. QPushButton
- Checkboxes with two and three states
- QRadioButton & QButtonGroup
- Text input with QLineEdit
- Numeric input using Spinbox
- Date & Time editing widgets
- Simple ComboBox in Qt
- Editable ComboBox in Qt
- Bonus lecture
After completing the course you will receive a certificate
The Bureau of Labor Statistics projects that data scientist jobs will increase 35% by 2032, giving you access to a hot new field.
Choose the appropriate tariff
Offer for companies
You can train your employees in this course. We adapt the program to your business.
If you train several employees at once - more favorable cost.
Introductory
$Free
- Training program 3 modules
- Lecture materials
- No feedback
- Access to the course - open
- Without certificate
Corporate
$780
- Groups of 5 - 10 people
- Training program - 23 modules
- Bonus module
- Participation in the corporate project
- Mentor support
- Access to course materials for 12 months
- Add to group chat
- Certificate
Base
$45
- Training program - 23 modules
- Lecture materials
- Practical tasks
- Student chat
- Independent study
- No feedback
- Access to the course - 3 months
Advanced
$68
- Training program - 23 modules
- Lecture materials
- Practical assignments
- Chat for students
- Mentor feedback
- Access to the course - 6 months
- Without certificate
VIP
$80
- Training program - 23 modules
- Bonus module
- Lecture materials
- Practical assignments
- Chat for students
- Mentor feedback
- Assignment review and recommendations
- Access to the course - 12 months
- Certificate
graduates of the course achieve their goal and find work in IT
69 %
students receive development orders already during their studies
37 %
grow to the middle level faster than a year after completing the course
53 %
What results can you expect at the end of your studies?
Testimonials from course graduates
Eugenia
The course is just amazing! Everything is explained in an accessible and structured way, even for a beginner. Practical assignments help to apply knowledge immediately, and the support of the tutors is top-notch. I already feel more confident and have started to prepare for job interviews.
Zakhar
I have taken several courses on testing, but this one is the best! Everything is clear, to the point, with real examples and assignments. After completing the course I was able to get a job in a month. Thank you very much to the team for their support and professionalism!
Semyon
This course exceeded all my expectations! The material is presented clearly and without unnecessary water. Especially liked the real cases and tasks that can be added to the portfolio. After the course I was able to get an internship in an IT-company. Recommended!
Alina
The course is just great! The material is presented logically and clearly, and practical tasks help to consolidate knowledge. I especially appreciate that the tutors are always ready to answer questions and give feedback. Now I feel ready for job interviews.
Alexandra
The course is a real godsend for those who want to enter IT. The material covers everything you need to start: from basic theory to practical skills. I really liked that the tutors are always in touch and ready to help. Thank you for the quality training!
We will refund your money in full if the course is not suitable
Money can be returned at any time. During the first three lessons, we will refund you the full amount, and starting from the fourth, we will calculate the refund amount or help you choose another course instead.
FAQ
Yes, this course is suitable for all beginners who want to learn programming. Regardless of your level of experience, our course will provide you with the knowledge and tools you need to successfully master the program.
Laptop or desktop computer running macOS or Windows version Vista or higher. 8GB or more of RAM is desirable. All instructions for installing the necessary software will be in the lesson.
We recommend to allocate 8-12 hours per week to successfully master the material and perform practical tasks. However, you can choose your own pace of learning.
Python specialists are needed in various fields:
big data analytics AI and machine learning Website, Telegram bots and games development DevOps automation
You can start from an intern or junior position as a tester, developer or data analyst.
big data analytics AI and machine learning Website, Telegram bots and games development DevOps automation
You can start from an intern or junior position as a tester, developer or data analyst.