Course Python Programming

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  • Course Python Programming : Content

    In the course Python Programming participants learn how to program in the object-oriented scripting language Python. Python is a language that is often used for data analysis, installation scripts and prototypes of large applications.

    Python Fundamentals

    After an introduction on the installation and the different ways to execute scripts, the basic concepts such as declarations, variables and control flow structures are discussed.

    Data Structures and Functies

    Attention is also paid to collection structures, such as Lists, Tuples and Dictionaries. Next the focus is on the use of functions with the different methods of parameter passing, such as by value and by reference. The scope of variables and lambda functions are also discussed here.

    Modules and Packages

    Subsequently attention is paid to the division of Python software into modules and the use of namespaces and packages. Comprehensions in Python and functional programming are discussed as well as the handling of errors in scripts using exception handling.

    File and Database Access

    Next the functionality of various Python library functions for accessing files is the subject matter and attention is paid to database access with the Python Database API.

    Classes and Objects

    Also object-oriented programming with classes and objects is treated. In this respect concepts such as properties, constructors and encapsulation are highlighted.

    Python Libraries

    Finally if time allows, optional attention is paid to different libraries for Regular Expressions, unit testing and date and time. A follow up on this course is the course Advanced Python Programming .

  • Course Python Programming : Training

    Audience Course Python Programming

    The Course Python Programming is intended for Developers and system administrators who want to learn how to program in Python and other persons who want to understand Python code.

    Prerequisites Python Programming Course

    Knowledge and experience with programming is not strictly required to participate in this course. Experience in programming is however is beneficial for a proper understanding.

    Realization Training Python Programming

    The theory is treated on the basis of presentation slides. Illustrative demos are used to clarify the concepts further. The theory is interspersed with practical exercises. The course material is in English.

    Certificate Python Programming

    Participants receive an official certificate Python Programming after successful completion of the course.

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  • Course Python Programming : Modules

    Module 1 : Python Intro

    Module 2 : Variables and Types

    Module 3 : Data Structures

    What is Python?
    Python Features
    Getting Started
    Setting up PATH
    Environment Variables
    Running Python
    Interactive Mode
    Script Mode
    Reserved Words
    Lines and Indentation
    Multi Line Statements
    Data Types
    Python Numbers
    Numerical Types
    Number Type Conversions
    Conversion Functions
    Built-in Number Functions
    Python Strings
    String Operations
    String Formatting
    Triple Quotes
    Raw and Unicode Strings
    Built-in String Functions
    Sequences and Lists
    Accessing and Updating Lists
    Multidimensional Lists
    List Operations
    List Functions and Methods
    Accessing Values in Tuples
    Tuple Functions
    Bytes and Byte Arrays
    Sets and Dictionaries
    Accessing Values in Dictionaries
    Properties of Dictionary Keys
    Dictionary Methods

    Module 4 : Control Flow

    Module 5 : Functions

    Module 6 : Modules

    Control Flow Constructs
    if Statement
    else Statement
    elif Statement
    while Loop
    for Loop
    break Statement
    continue Statement
    Loop with else Combination
    pass Statement
    Python Operators
    Operator Precedence
    Function Syntax
    Calling Functions
    Pass by Value
    Pass by Reference
    Overwriting References
    Function Arguments
    Keyword Arguments
    Default Arguments
    Variable Length Arguments
    Lambda Functions
    return Statement
    Scope of Variables
    import Statement
    from…import Statement
    Locating Modules
    Creating and Using Modules
    dir Function
    Python Packages
    Explict Import Modules
    Implicit Import Modules
    Namespaces and Scoping
    globals and locals Functions
    reload Function
    Test Harnass

    Module 7 : Comprehensions

    Module 8 : Exceptions

    Module 9 : Python IO

    Functional Programming
    Map and Filter
    Reduce and Lambda
    List Comprehensions
    Filtered List Comprehension
    Syntactic Sugar
    Dictionary Construction with Zip
    Dictionary Comprehension
    Dictionary from Keys
    Set Comprehension
    Unexpected Errors
    Typed Exception Handling
    Exception Handling with Else
    except Clause Multiple Exceptions
    Standard Exceptions
    try-finally Clause
    Exception Arguments
    Raising Exceptions
    Example raising Exceptions
    User Defined Exceptions
    Input and Output
    IO Module
    Opening Files
    File Open Modes
    Reading and Writing Binary Files
    Reading and Writing Text Files
    File Positions
    Renaming and Deleting Files
    Directory Methods
    Creating Directories

    Module 10 : Database Access

    Module 11 : Python Classes

    Module 12 : Python Libraries

    Python DB API
    Using with
    Inserting Data
    Prepared Statements
    Last inserted row id
    Retrieving Data
    Fetching Rows
    Parameterized Queries
    Object Orientation
    Creating Classes
    Class Members
    Creating and Using Objects
    Accessing Attributes
    Property Syntax
    Built-in Class Attributes
    Constructors and Destructors
    Regular Expressions
    match Function
    Matching versus Searching
    Search and Replace
    Unit Testing
    Unit Test Example
    Date and Time Handling
    Time Tuple
    Calendar Functions
  • Course Python Programming : General

    Course Forms

    All our courses are classroom courses in which the students are guided through the material on the basis of an experienced trainer with in-depth material knowledge. Theory is always interspersed with exercises.


    We also do custom classes and then adjust the course content to your wishes. On request we will also discuss your practical cases.

    Course times

    The course times are from 9.30 to 16.30. But we are flexible in this. Sometimes people have to bring children to the daycare and other times are more convenient for them. In good consultation we can then agree on different course times.


    We take care of the computers on which the course can be held. The software required for the course has already been installed on these computers. You do not have to bring a laptop to participate in the course. If you prefer to work on your own laptop, you can take it with you if you wish. The required software is then installed at the start of the course.


    Our courses are generally given with Open Source software such as Eclipse, IntelliJ, Tomcat, Pycharm, Anaconda and Netbeans. You will receive the digital course material to take home after the course.


    The course includes lunch that we use in a restaurant within walking distance of the course room.


    The courses are planned at various places in the country. A course takes place at a location if at least 3 people register for that location. If there are registrations for different locations, the course will take place at our main location, Houten which is just below Utrecht. A course at our main location also takes place with 2 registrations and regularly with 1 registration. And we also do courses at the customer’s location if they appreciate that.


    At the end of each course, participants are requested to evaluate the course in terms of course content, course material, trainer and location. The evaluation form can be found at https://www.klantenvertellen.nl/reviews/1039545/spiraltrain?lang=en. The evaluations of previous participants and previous courses can also be found there.


    The intellectual property rights of the published course content, also referred to as an information sheet, belong to SpiralTrain. It is not allowed to publish the course information, the information sheet, in written or digital form without the explicit permission of SpiralTrain. The course content is to be understood as the description of the course content in sentences as well as the division of the course into modules and topics in the modules.

  • Course Python Programming : Reviews

  • Course Python Programming : Certificate