Introduction to Python

Course Info

Main advantageFast Python implementation in your company without the need for developers to learn the basics on the company’s expense. An efficient way to quickly leverage Python’s usefulness for your team, especially crucial for R&D.
Durationa) half-days: 5 days x 4 hours (including breaks)
b) full-days: 3 days x 7 hours (including breaks)
Formatworkshop (70% workshop / 30% lecture)
Venuea) online or
b) client’s office or other place chosen by the client, in Europe
Enrollmentin-house course for a group of people within one company
Group sizeup to 10 delegates
Course languageEnglish, Polish or both during the same training

Course Syllabus

  1. Python Fundamentals
    1. Lists
    2. Nested Lists
    3. Mutability
    4. References
    5. Strings
    6. String Formatting
    7. Unpacking
    8. String Splitting and Joining
    9. Numbers (int, float, Decimal, float limitations)
    10. Type conversions
    11. File Streams
    12. Proper Resource Handling with Context Managers
    13. Command Line Scripts
    14. Primitives and Collections
    15. Types Overview (Primitives vs Collections vs Others)
  2. Built-in Collections
    1. Tuples
    2. Dictionaries
    3. List Comprehension
    4. Conditions in List Comprehensions
    5. Complex Comprehension Expressions
    6. Nested Comprehension Expressions
    7. Dictionary Comprehension
    8. Generator Comprehension
    9. Sets and Frozensets
  3. Control Flow
    1. Conditional Instructions
    2. Two Alternatives to Switch Statement
    3. Truthy and Falsy Values
    4. For Loops
    5. While Loops
    6. Else in For and While Loops
    7. Break & Continue Instructions
    8. Error Handling (try-except, try-finally)
    9. Advanced Error Handling (try-except-else-finally)
    10. Context Managers Usage
    11. Context Managers Protocol
    12. Creating Your Own Context Managers
    13. @contextmanager Decorator
    14. Introduction to Decorators
  4. Tooling
    1. Python Installation
    2. Checking Python Version
    3. Command Prompt vs Power Shell
    4. Executing Python Scripts in Command Prompt / Terminal
    5. Using Visual Studio Code: Program Layout, Installing Python Plugin, Accessing Terminal, Changing Default Terminal, Turning On Auto-Save etc.
    6. pip Package Manager and PyPi Repository
    7. Anaconda Distribution
    8. conda Package Manager and Anaconda Repository
    9. Python Documentation
    10. PEPs
  5. Functions
    1. Definition and Function Call
    2. Parameters vs Arguments
    3. Positional and Named Arguments
    4. Returning Multiple Values
    5. Default Values
    6. Default Value Trap
    7. Global and Local Scope
    8. Global Keyword
  6. Object Oriented Programming Fundamentals
    1. Idea of Classes
    2. Classes vs Instances
    3. Polymorphism
    4. self Argument
    5. Methods vs Functions
    6. Class & Object Attributes
    7. Special Methods
  7. Intermediate Object Oriented Programming (only in 5 days long version and only if the group is advanced enough).
    1. __str__ vs __repr__
    2. __str__ Method vs str() Function
    3. Classes Imitating Functions with __call__ Special Method
    4. Encapsulation – Interface vs Implementation
    5. Protected Attributes
    6. Private Attributes
    7. Read-Only @property
    8. Read-and-Write @property
    9. Introducing Encapsulation to an Existing Class without Breaking the Interface with @property
    10. Variable Annotations
    11. Dataclasses: Usage, Default Values, Default Values Trap, Default Value Factory, Fields Customisation, __post_init__
    12. Introduction to Single Inheritance
    13. Attribute Lookup Mechanism
    14. Code Reusage with Inheritance
    15. Method Overloading
    16. super()
  8. Code Organisation (only in 5 days long version)
    1. Modules
    2. Three Import Styles
    3. Renaming in Imports
    4. Import vs Execution and __name__ Variable
    5. Module Search Order, sys.path List and PYTHONPATH Environment Variable
    6. Packages and __init__ Files
  9. Accessing REST APIs (only in 5 days long version)
    1. JSON Format
    2. JSON Data Types
    3. Loading and Dumping JSON with Builtin json Module
    4. Processing Complex Nested JSONs with Comprehension Expressions
    5. HTTP Protocol: Methods and Return Codes
    6. Using Postman for Accessing REST APIs
    7. Accessing REST APIs with requests Third-party Library
  10. Miscellaneous (only in 5 days long version)
    1. Persistence with Pickle
    2. Working with Files and Directories
    3. Launching and Controlling Subprocesses in a Blocking Way
    4. Launching and Controlling Subprocesses in a non-blocking Way
    5. Reading and Writing CSV Files with builtin csv Module
    6. Reading and Writing CSV and Excel Files with pandas

Collaboration Process

  1. Form. You fill out the form at the bottom of the page.
  2. Free Consultation. We arrange a free, non-binding online meeting that should last no longer than 50 minutes. From the first contact, full confidentiality is observed, and if necessary, we can start by signing an NDA. The purpose of this conversation is to thoroughly discuss your situation and needs, so we can prepare a solution for you in the next step.
  3. Solution Proposal + Follow-up Consultation. After the consultation, we analyze your situation and prepare a tailored solution proposal (training and/or consulting). We discuss this proposal during another free consultation.
  4. Formalities. Signing the contract and making the payment (prepayment). The training date is reserved upon payment.
  5. Training Sample. If needed, we can precede the main training with a 60-minute training sample to ensure that it is worth your while to cooperate with us.
  6. Training and/or Consulting Activities.
  7. Post-training Support – tailored individually to your needs.

References

Krzysztof Gębal

Very inspiring training. I really appreciate the way Chris managed to walk us through the complex world of machine learning using Python. Good course materials updated real time. Highly recommend.

Krzysztof Gębal
Finance Director at DNB Bank Polska S.A.

Arkadiusz Baraniecki

Well prepared training and reasonably passed knowledge, thanks to which we develop better services.

Arkadiusz Baraniecki
Infrastructure Team Manager at allegro.pl

Nicolas Leveroni

Chris recently taught a four day class on Machine Learning with Python four our team. The class was very good with the right balance of theory and practice. I cannot think of a better way to give a four day class about such an extensive topic.

Nicolas Leveroni
Head of Krakow Product Control Analytics at HSBC

See more references ->

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