Course Outline
Introduction to Python and Google Colab
- Setting up Google Colab
- Understanding the Python programming environment
- Writing and executing your first Python script
Variables and Data Types
- Introduction to variables
- Different data types in Python
- Operations on numbers and strings
Control Structures
- Conditional statements
- Loops: for and while
- Controlling program flow with decisions
Functions and Modules
- Defining and calling functions
- Scope and lifetime of variables
- Importing and using modules
Working with Collections
- Lists and tuples
- Dictionaries and sets
- Iterating through collections
Basic Libraries in Python
- Introduction to libraries like NumPy and Matplotlib
- Basic data manipulation with Pandas
- Simple data visualization
Final Project
- Applying learned concepts to a small project
- Best practices for writing and organizing Python code
- Debugging and troubleshooting
Summary and Next Steps
Requirements
- No prior programming experience required
- Basic understanding of computer operations
- Familiarity with web browsing and simple mathematical concepts
Audience
- Developers
- Data analysts
Testimonials (5)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)
Monika - Procter & Gamble Polska Sp. z o.o.
Course - Developing APIs with Python and FastAPI
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafal Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
Trainer develops training based on participant's pace