• Running Python code in the cloud (google colab interface)
• Python programming philosophy.

• How variables are created, their correct name
• Familiarize yourself with dynamic variable setting
• How the type() function works to identify the type of a variable
• Types of numbers, what is the difference between an integer and a real number (float)
• Mathematical operations with numbers
• Creating text variables (string).
• Differences between double and single quotes when creating text variables
• Methods with text variables; slicing a string variable
• Format string syntax with all 4 types of variables;
• Changing variable types.

• Non-primitive variables:
  1. lists
  2. tuples
  3. sets
  4. Dictionaries

• List variable creation and properties
• List methods:
  1. Add variable
  2. Remove a variable
  3. Modify the list
  4. List slicing
• Tuple variable creation and properties
• Tuple methods:
  1. The main differences between tuples and lists are where one applies and where the other applies
• Set variable creation and properties
• Theory of sets
• Set methods
• The main differences between sets and lists are where sets apply
• Creation and properties of the dictonaries variable
• Methods of dictionaries (dictonaries):
  1. How information is stored in dictionaries
  2. The main difference between tuples (dictonaries) and other non-primitive variables is where dictionaries apply
  3. Logical operations with non-primitive variables.

• syntactic theory of the input() function
• examples of application of the input() function
• Converting variables from the input() function.
• Boolean variables:
  1. IF/ELSE clauses
  2. Application of the ELIF clause.

• Error management philosophy
• Error handling with try:/except: blocks
• using continue/break when catching errors
• Converting variables from the input() function
• for loop:
  1. Applying a for loop with list/tuple
  2. Applying a for loop with dictionaries
  3. Using continue/break in a for loop
  4. for loop within another for loop
  5. Using the for loop with different types of data (string, list and dictionaries).
• while loop syntax:
  1. Dangers of the while loop syntax - the code will not finish looping
  2. Using IF/ELSE with a while loop
  3. Differences in the application of the while loop from the for loop.

• 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 loops
• Writing tests for functions
• assert syntax - lambda function syntax
• Functions in functions
• Recursive function theory
• Function documentation, docstring.

• Philosophy of object-oriented programming
• Object creation, basic methods
• Objects e.g. in popular Python libraries;
• Object documentation
• Object inheritance
• Recommendations for creating objects.

• introduce Python virtual environments
• Pip syntax
• Retaining package versions
• File order in the project
• Generate an .exe file from a python .py script.

• SQL user interface overview and application examples
• SQL lite login on your computer
• Overview of the SQL lite graphical environment
• Entering the words SUM, COUNT UNIQUE.

• Code versioning using GIT and Github
• Core GIT commands
• Code versioning in the cloud - github environment.

• OS Library Overview
• Basic functions for working with files locally
• Google API Library
• Google mail library feature overview
• Google drive library overview

• HTML Basics
• Viewing the code of a web page with a web browser
• request library, core functions and applications
• beautifulsoup4 (bs4) library overview;

• pyQt5 library theory
• pyQT5 widgets overview
• various graphical interface components: buttons, fields to enter data
• pyQt designer overview.

• Preparation of the thesis on the chosen topic
• Final thesis presentation

1. Communication skills

• Active listening
• Effective communication
• Dealing with difficult customers
• Creating a connection

2. Problem solving strategies

• Problem analysis and diagnostics
• Determination of solutions
• Troubleshooting methods
• Root cause analysis of the problem
• Latest problem solving technologies
• How to get feedback from managers
• Professional development

3. Time management and organization

• Prioritization of tasks
• Workload management
• Delegation and collaboration

4. Emotional intelligence

• Understanding and managing emotions
• Empathy and compassion
• Conflict resolution
• Stress management

5. How to learn more and faster and less
to forget

•  5 minute brain exercise
• Clear your "mental fog" with these 5
  delicious brain foods
•  Learn a powerful memory technique to
  you would never miss a meeting

• The operation of artificial intelligence. How is it different from a human?
• Creating a request (Prompt). What is the difference between a good query and a bad one?
• Validation of results. Checking the received data for suitability in a specific case.
• Versioning Policy. Identification of the used software (vendor) version in the request.
• Artificial intelligence plugins in the code editor (IDE). Advantages and disadvantages.
• Generating comments using artificial intelligence.
• Creating tests with the help of a plugin.
• Code optimization with the help of a plugin.