Certificate Authentication

1. Introduction to Python Programming

• Running Python code
• Using Python Development Tools (IDEs and command line tools)
• Working with Python in PyCharm Community and Professional

2. Data Types and Operations

• Integers and floats
• Strings and bytes
• Tuples and lists
• Dictionaries and ordered dictionaries
• Sets and frozen sets

3. Organizing and Distributing Code

• Creating modules and packages
• Distributing code to repositories

4. Working with extended modules

• Modules re, sys, os

5. Working with data using numpy and pandas      

• Data sources: Excel, Databases, csv, txt
• Using Data Series
• Using Data Frame
• Data modifications
• Sorting and filtering data
• Aggregate operations
• Analyzing time series
• Export data

6. Data visualization

• Plotting diagrams with matplotlib
• Using matplotlib from within pandas
• Creating diagrams and charts                    

7. Object Oriented and Functional Programming

• Creating and using functions and classes
• Inheritance in OOP from one or many classes
• Modifying functions and classes with decorators
• Introducing meta-classes

8. Error Handling and Testing

• Handling and raising exceptions
• Writing and executing tests (doc tests and unit tests)
• Checking code coverage by tests (PyCharm pro version)

9. Working with Files and Directories

• Accessing different types of files and file handling principles
• Creating, reading, updating and deleting files (including regular text files, csv, as well as Microsoft Word and Microsoft Excel files)
• Extracting data from text files using Regular Expressions
• Creating and deleting directories, listing and searching for files

10. Accessing Databases

• Selecting, inserting, updating and deleting data
• Generic database API based on SQLite 3, PostgreSQL and MySQL
• Using the Object Relational Mapper (SQLAlchemy)
• Working with NoSQL databases