About course

Information provided by the training provider

Abstract

Python programming courses are designed for those who want to master strong programming foundations and learn how to use the Python language.This training is a great choice for those who want to become Python programmers and develop their career in this field.It is also an excellent introduction to programming for anyone who would like to get acquainted with this area.Python is one of the most popular programming languages in the world.This language is used by organizations such as Google, Facebook, Uber, Instagram, Netflix, PayPal and others.During the training, you will learn how to use the Python language for automation, program development at the back-end level and effectively receive data from Internet sources.This is a very versatile skill that has many areas of application.

Important information

Way of learning

Place

Language

Aukštos pridėtinės vertės programa

Yes

Minimum requirements for the participant

Education

Vidurinis išsilavinimas

Acquired and improved competencies

Ordinary:

Digital competence

Personal, social and learning to learn competence

Professional competencies:

Apply the principles and methods of computer science used in software development.

Apply relevant software development methodologies

Create typical software

High value-added qualifications and competences:

Content of the learning program

Topic name	Brief description of the topic
Topic name Introduction to programming	Brief description of the topic The operation of Python code in the clouds (google colab interface); Python programming philosophy.
Topic name Primitivus variables	Brief description of the topic Will learn how variables are created, their correct name; get acquainted with the dynamic setting of variables; type() function behavior, how to identify the type of variable; number types, what distinguishes integer from real number (float); mathematical operations with numbers; creation of text variables (string); differences between double and single quotes when creating text variables; methods with text variables; string variable cutting; format string syntax with all 4 types of variables; changing the types of variables.
Topic name	Brief description of the topic
Topic name Input function	Brief description of the topic input() the syntax theory of the function; examples of input() function application; conversion of variables from the input() function.logical (boolean) variables; IF/ELSE conditions; Application of the ELIF clause.
Topic name Cycles and error management	Brief description of the topic The philosophy of error management; error handling with try:/except: blocks; continue/break use to catch bugs; conversion of variables from the input() function; for cycle; for cycle application with list/tuple; for application of the cycle with dictionaries; continue/break usage for cycle; for cycle in the next for cycle; for using a cycle with different types of data (string, list and dictionaries).while cycle syntax; while the dangers of the syntax of the cycle - the code will not finish the rotation; Use of IF/ELSE with while cycle; while cycle application differences from the for cycle.
Topic name Features	Brief description of the topic The theory of writing functions; functions without return, using only the print() method; functions with return syntax; functions with list/tuple and dict variables; functions with for/while cycles; writing tests for functions; assert syntax; - the syntax of the lambda function; in function functions; recursive theory of functions; functional documentation, docstring.
Topic name Object-oriented programming	Brief description of the topic Philosophy of object-oriented programming; creation of the object, basic methods; objects eg.in popular Python libraries; - documentation of objects; heredity of objects; recommendations for creating objects.
Topic name Work with libraries	Brief description of the topic Introduce Python virtual environments; pip syntax; saving versions of packages; the order of files in the project; generate .exe type file from python .py script.
Topic name SQL Lite	Brief description of the topic SQL User Interface Overview and Application Examples; RECORDING SQL lite on your computer; overview of the SQL lite graphical environment; repetition of the material of the previous lesson; Entering SUM, COUNT UNIQUE words.
Topic name Code versioning	Brief description of the topic Code versioning using GIT and Github; basic GIT commands; versioning code in the clouds - github environment.
Topic name Automation	Brief description of the topic Review the demo code from the first lesson; overview of the OS library; the main functions of working with files locally; google API library; an overview of the functions of the google mail library; google drive library overview;
Topic name Data collection	Brief description of the topic HTML basics; viewing the code of the Internet page with a web browser; request library, basic functions and applications; beautifulsoup4 (bs4) library review
Topic name Application development	Brief description of the topic pyQt5 library theory; review of pyQT5 widgets; various components of the graphical interface: buttons, fields for entering data; pyQt designer app review.
Topic name Preparation of the thesis on the chosen topic	Brief description of the topic Topics of the thesis: Automation; Data collection (web scraping); Application development
Topic name Presentation of the thesis	Brief description of the topic Presentation of the thesis
Topic name	Brief description of the topic

Features of the program

Training takes place live with a lecturer. The chosen type of learning is possible: in classes in Vilnius and at a distance.Training schedule: Monday - Thursday. Training time: 18.00-22.00.