"PYTHON-DEVELOPER" COURSE
7 months / 30 topics / 150 mini sessions / diploma
starts June 22 / 49.900 rubles
Apply and book minimum price
starts June 22 / 49.900 rubles
Apply and book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"PYTHON-DEVELOPER" COURSE
7 months / 30 topics / 150 mini sessions / diploma
starts June 22 / 49.900 rubles
Apply and book minimum price
starts June 22 / 49.900 rubles
Apply and book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
Course objectives
- 1Learn to code on Python from scratchDuring the course you will learn Python and popular frameworks, so you can solve a wide range of problems with the help of this language.
- 2Create a portfolio of projectsDuring the course you will create several projects that can be shown to potential employers/customers.
- 3Get a diplomaAt the end of the course you will receive a profile diploma, which will be a very strong argument for the employer.
- 4Get a jobAt the end of the course you will be able to get a Python middle or junior developer position
Training format
From the first day of training with us you will create real code and solve practical problems
150 mini-sessions
Each session is a small 15-20 minute video, discussing one small topic.
All videos are available to you on a special training platform. You can review important points and refresh your memory.
You can study them in any order you like
All videos are available to you on a special training platform. You can review important points and refresh your memory.
You can study them in any order you like
Practical assignments
Practical tasks will be available for you to work on your own
Tasks are optional, but we strongly recommend practicing them. At any time, you can proceed to the next session.
Tasks are optional, but we strongly recommend practicing them. At any time, you can proceed to the next session.
7 months of curator support
All communication on the course is organized on our training platform.
If you have any questions about the course material, write to the curator, who will help you understand the topic of the session or the practical task.
If you have any questions about the course material, write to the curator, who will help you understand the topic of the session or the practical task.
Book a course and get one course as a gift
Apply and our manager will call you back
By clicking the button, I consent to the processing of personal data and agree to the privacy policy
Training program
Below you can see the full training program with descriptions of all topics.
Each of the 30 topics is covered in 5-6 small videos.
Each of the 30 topics is covered in 5-6 small videos.
Contents:
Practical assignments:
- Introduction to the course
- Setting up Python
- Selecting and installing ide
- Options for running the program
- Using pip to install the required libraries
- Working in a virtual environment
- Demonstration of requests, Flask, pytest
Practical assignments:
- Setting up the development environment
- Modifying demonstration examples
Contents:
- Basics of any programming language
- Variables, data types, type conversion
- Input, output to the terminal. Conditions, cycle
- Solution of tasks on using variables, while cycle, conditions, input/output
Contents:
- Working with high level data types
- Strings, lists, dicts, sets.
- for cycle, range function
- Documentation
- Solving tasks on using strings, lists, sets, dictionaries
Contents:
- Working with functions
- Declaration, types of parameters, return value
- Scopes of visibility, local and global variables
- Lambda-functions
- Creation of functions for the "Console file manager" project
Contents:
Practical assignments:
- Using third-party libraries and creating your own
- Data Import
- Version control system for git and github, pull requests
Practical assignments:
- Creating modules in file manager
Contents: Auto-tests have long been the standard for professional programming
Practical assignments:
- Test options
- Pros and cons of pytest library
- Writing tests for functions
Practical assignments:
- Writing tests for functions in file manager
Contents: The json format is the main standard for data transmission. Saving data into a file is used in almost all major programs
- Reading and writing to a text file
- Serialization
- json format
- Saving and reading data in file manager
Contents: With the help of ternary operators and generators, you can write more readable and faster code. Exceptions allow you to process possible errors during program execution. Decorators allow you to quickly add new features to the function
Practical assignments:
Practical assignments:
- Using generators, ternary operators, exceptions in file manager
Contents: Everything in Python is an object
- Introduction to OOP, basic concepts
- OOP principles
- Access methods
- Creating classes for playing lotto
Contents: The unittest library is a classic and used as the basis for testing in Django
- Writing tests for classes with pytest, unittest
- Creation of initial data
- Creating tests for playing lotto
Contents: Using magic methods in Python allows to make the code more readable and convenient, as well as to use duck typing
Practical assignments:
- Basic magic methods
- Duck typing
- Static and class methods
Practical assignments:
- The use of magical methods and duck typing in a lotto game
Contents:
Practical assignments:
- Getting started with the API using the requests
Http and REST requests librar - Cover the topic on the example of api for github and hh
Practical assignments:
- Create API parser for github / hh
Contents: Knowledge of html / css will allow you to understand the front-end part of the web application. Knowledge of bootstrap will allow you to quickly create adaptive design for your website.
- Main elements of html / css
- Using bootstrap
- Creating an interface for our API parser
- Creating an interface for the site on Flask
Contents: Not all sites have a handy api, so often we have to parse the html. Parse html with beautifulsoup.
Practical assignments:
Practical assignments:
- html-parser for a news site
Contents: Creating bots on Python is a popular topic, both for company employees and freelancers. How to create a bot on the example of a bot for Telegram.
Practical assignments:
Practical assignments:
- Creating a Telegram chat-bot
Contents:
- Introduction to developing web applications
- MVC pattern as standard for web application
- Flask, view and templates, data transfer to the template, rendering of templates
- Website creation on Flask (integration with api-parser)
Contents: Relational databases are the main tool for storing data on the website.
- Introduction to databases
- Linked tables, normal forms, queries
- Exploring examples on sqlite and PostgreSql
- Creating a database to store data from api-parser
Contents: ORM technology allows a developer to forget about sql and "talk" to DBMS in Python, as well as move from one database to another without changing the query code.
- Introduction to ORM
- SQLAlchemy Library
- Data models, queries
- Creating a database for storing data from the API-parser using ORM
Contents: Multiple inheritance is often used in Django projects, as are descriptors and metaclasses. Questions on these topics are often asked in interviews. We analyze the theory and usage options.
Practical assignments:
Practical assignments:
- Passing the test for an interview, completing the project on Flask
Contents: Django is the most popular web framework thanks to its out-of-the-box features and many third-party libraries. Django is similar to Flask in structure, so it's easy to learn its basics now.
- Installing and configuring Django
- Django ORM, migrations
- Creating data models for the site on Django (integration with html parser / Telegram bot)
Contents:
- Interaction with the user on the site
- Transferring data from view to template
- Django Forms
- Create pages for user interaction
Contents: The view layer in Django is usually implemented on classes rather than functions. This makes it possible to take full advantage of OOP. CBV, model inheritance
Practical assignments:
Practical assignments:
- Change the layers of models and view to classes
- Getting rid of code duplication using mixins
Contents: Almost all modern sites have the possibility of authorization and registration, as well as personal offices and access differentiation.
- Using and extending the standard user model
- Registration and authorization
- Rights of users and groups
- Adding user management and rights restrictions to the website
Contents: Web application testing has its own specifics.
- Testing applications on Django and Flask
- Tests for model methods and view
- Project test coverage
Contents: We parse Django tools for small repetitive tasks
Practical assignments:
- Page-by-page output
- Filtering data in the template
- General information on pages
- Identical database queries, etc.
Practical assignments:
- Project finalization
Contents: With the first implementation, often the site does not work optimally. In the worst case, pages are loaded too long and the server can not handle requests from the right number of users
- Profiling a site with django-debug-toolbar
- Basic optimization tools, caching
- Main linux commands
- Project optimization
Contents:
- Publishing the site on the Internet
- Deployment of sites on Flask, Django
- Wsgi, gunicorn, nginx.
- Security
- Placing the project on vps / virtual machine
Contents:
Practical assignments:
- Microservice architecture
- The difference between a web service and a website
- Creating web services with django-rest-framework
- Authorization, data acquisition
Practical assignments:
- Create rest-api for Django project
Contents:
- How to design a quality API for interaction
- Processing all rest requests
- Improvements to the web service
- Finalization of rest-api
Contents: Docker allows you to create a container for the web application, for its quick delivery in production. We will create a container for our web service.
Practical assignments:
Practical assignments:
- Creating a container for a project on Django
- Storing on vps / virtual machine
Apply for course
Book now and you'll get
"Python for data analysis" course as a gift
"Python for data analysis" course as a gift
We teach from absolute zero
Lack of programming experience in Python or any other language will no longer stop you.
Our course is designed so that every participant can learn how to program confidently on Python from scratch.
Our course is designed so that every participant can learn how to program confidently on Python from scratch.
You will get a diploma
As a result of your training, you will receive a standard certificate of professional retraining.
University license
Employment assistance
Diploma
Profile diploma in neural networks will be a very strong argument for the employer, no other programming school gives such a diploma. The educational organization will be the "University of Artificial Intelligence", and the specialty - "Python-developer".
Personal
recommendation
recommendation
We give personal recommendations to each participant who requests a recommendation for employment. All references are executed on company letterhead, with a stamp and written individually about each participant.
Partner companies
After completing the course, we can send your resume to our partners, including Sberbank and I-Teco.
"Python-developer" course teacher
Dmitry Ermilov
Education: Moscow State University, Faculty of Mechanics and Mathematics,
PhD in physics and mathematics.
Senior Python Backend developer at Brandquad.
- Development of ETL company;
- Development and support of CRM company;
- Automation of reporting processes;
- Unloading and analysis of statistical data, analytical and synthetic accounting data;
- Participation in development, testing and implementation of new technologies in the field of machine learning in the process stack of the company.
Additional education in the field of machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years of experience in machine learning. Among the projects: creation of intellectual system of filtration of files in a loaded stream, identification of objects in images, recognition of words in audio files, development of "smart" data processing model.
PhD in physics and mathematics.
Senior Python Backend developer at Brandquad.
- Development of ETL company;
- Development and support of CRM company;
- Automation of reporting processes;
- Unloading and analysis of statistical data, analytical and synthetic accounting data;
- Participation in development, testing and implementation of new technologies in the field of machine learning in the process stack of the company.
Additional education in the field of machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years of experience in machine learning. Among the projects: creation of intellectual system of filtration of files in a loaded stream, identification of objects in images, recognition of words in audio files, development of "smart" data processing model.
Dmitry Ermilov
Education: Moscow State University, Faculty of Mechanics and Mathematics,
PhD in physics and mathematics.
Senior Python Backend developer at Brandquad.
- Development of ETL company;
- Development and support of CRM company;
- Automation of reporting processes;
- Unloading and analysis of statistical data, analytical and synthetic accounting data;
- Participation in development, testing and implementation of new technologies in the field of machine learning in the process stack of the company.
Additional education in the field of machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years of experience in machine learning. Among the projects: creation of intellectual system of filtration of files in a loaded stream, identification of objects in images, recognition of words in audio files, development of "smart" data processing model.
PhD in physics and mathematics.
Senior Python Backend developer at Brandquad.
- Development of ETL company;
- Development and support of CRM company;
- Automation of reporting processes;
- Unloading and analysis of statistical data, analytical and synthetic accounting data;
- Participation in development, testing and implementation of new technologies in the field of machine learning in the process stack of the company.
Additional education in the field of machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years of experience in machine learning. Among the projects: creation of intellectual system of filtration of files in a loaded stream, identification of objects in images, recognition of words in audio files, development of "smart" data processing model.
Apply for course
Book now and get
"Python for data analysis" course as a gift
"Python for data analysis" course as a gift
Frequently asked questions
No, even basic Python knowledge is not required to take this course. You can learn Python programming from scratch.
Yes, the whole course is built remotely, moreover, you can watch the lessons on record, we specially build the course so that you can study anytime and anywhere.
Yes, many of our course participants are paid by the company, we can prepare a KP for your management.
Yeah, we have installment payment system from a few banks with no interest or down-payment.
On average, 1 hour per day would be enough
No. You can submit your homework at your own pace.
Prices
"Python for data analysis" as a gift
Price
49.900 rubles
- 30 topics
- 150 recorded mini-sessions
- 7 of support from curators
- Diploma
- Gift: "Python for data analysis" Course
| Pay 49.900 rubles. |
"Python for data analysis" course
- 150 recorded mini-sessions
- 2Practical assignments
- 33 months of curator support
- 4Certificate
- 5Starts June 22
Our manager will answer any questions about the course
- Artem Voronov-GashevCustomer service managerEmail: info@neural-university.ru
Phone: +7 (499) 648-67-44
Whatsapp/viber/telegram:
+7(918) 916-41-84
"PYTHON DEVELOPER" COURSE
7 months / 30 topics / 150 mini sessions / diploma
starts June 22 / 49.900 rubles
Apply and book minimum price
starts June 22 / 49.900 rubles
Apply and book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"PYTHON DEVELOPER"
COURSE
COURSE
7 months / 30 topics / 150 mini sessions / diploma
starts June 22 / 49.900 rubles
Apply and book minimum price
starts June 22 / 49.900 rubles
Apply and book minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.