Course Outline
Python Data Structures and Operations
- Integers and floats
- Strings and bytes
- Tuples and lists
- Dictionaries and ordered dictionaries
- Sets and frozen sets
Object-Oriented Programming with Python
- Inheritance
- Polymorphism
- Static classes
- Static functions
- Decorators
Data Analysis with Pandas
- Data frame (pandas)
- Data cleaning
- Using vectorized data in pandas
- Data wrangling
- Sorting and filtering data
- Aggregate operations
- Analyzing time series
Data Visualization
- Plotting diagrams with matplotlib
- Using matplotlib from within pandas
- Creating quality diagrams
Vectorizing Data in Numpy
- Creating Numpy arrays
Python for the Web
- Packages for web processing
- Web crawling
- Parsing HTML and XML
- Filling web forms automatically
Requirements
- Beginner to intermediate programming experience.
- Knowledge of math and statistics.
- Knowledge of database concepts.
Testimonials (5)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
Przekazanie wiedzy praktycznej oraz doświadczeń trenera.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Course - GUI Programming with Python and PyQt
As I was the only participant the training could be adapted to my needs.