Course cost: $300 / month
Course duration: 2 months, 45 hours
Course start date: September 23, 12:00 - 16:30, Saturdays
Course entry requirements: no requirements

*The course is available in the following languages: English, Russian, Ukrainian
Python Programming Fundamentals
Course program
Introduction to the Python programming language
  • Areas of use.
  • Portability and platform independence.
  • Automatic memory management.
  • Dynamic typing.
  • Python installation.
  • Overview of IDE (Integrated Development Environment) for Python development PyCharm, PyDev for Eclipse, Visual Studio.
Basic Syntax in Python
  • Data types and variables. integer types. Boolean type. floating point types. Decimal type. Scope (context) of variables
  • Variable initialization.
  • Numeric type conversion. Cast.
  • Operations. Arithmetic operations. increment and decrement operations. relation operations. logical operations. Bitwise operations. Operations priority.
  • Basic built-in modules. Module random, math, locale, decimal.
Control Structures
  • Control statements. Operator if, else, additional elif blocks.
  • Loop operators. The concept of a cycle and the conditions for exiting it. nested loops. while loop. for loop. Loop exit statements break and continue.
  • Functions for generating a collection of numbers range, xrange.
  • Working with strings. Character encoding.
  • Basic string methods.
  • String formatting.
  • String comparison.
  • Getting slices of strings.
  • Regular expressions.
Data Structures in Python
  • To work with data sets, Python provides built-in types such as lists, tuples, and dictionaries.
  • List (list). Iteration of elements. List comparison. Methods and functions for working with lists. Lists of lists.
  • Tuple. Iterating over tuples. Complex tuples.
  • Dictionaries. Dictionary search. Getting and changing elements. Convert from list to dictionary. Complex dictionaries.
  • NumPy is a Python language library that adds support for large multidimensional arrays and matrices, along with a large library of high-level (and very fast) math functions to operate on these arrays.
  • Exception Handling. try..except construct. An optional finally block. Get information about the exception. as operator.
  • Exception generation. raise statement.
  • Exception Hierarchy in Python.
Functions in Python
  • Creating a function. Function call. Function arguments.
  • Recursion.
  • Functions as objects and closures.
  • Function attributes.
  • Lambda functions.
Modules in Python
  • Modules as an implementation of the ability to reuse code in other programs. import statement.
  • Namespace setting.
  • Packages in Python
  • Comments in a module.
  • Opening and closing files.
  • Text files. Writing to a text file. Reading a file.
  • Working with one of the common CSV file formats. Working with dictionaries.
  • binary files. Shelve module.
  • OS module and working with the file system
Fundamentals of object-oriented programming in Python
  • The concept of abstraction. Principles of object-oriented programming: encapsulation, inheritance, polymorphism.
  • A class is a formal description of an object. object class.
  • Encapsulation. Attributes and methods of classes.
  • Inheritance. The key concepts of inheritance are subclass and superclass. Hierarchy of classes.
  • Reference to the current object self. Referencing the base superclass super.
  • Polymorphism as the ability to change the functionality inherited from the base class.
Graphical user interface in Python
  • An overview of cross-platform frameworks for GUI programming in Python.
  • Creating a GUI with the built-in Tkinter module.
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