The course provides participants with a comprehensive introduction to the Python programming language and the development of skills in various areas of programming.
The course develops essential Python programming skills, preparing participants for a variety of software development tasks and projects including preparation for machine learning and artificial intelligence projects.
There are no certification prerequisites for this course. Experience in knowing a programming language is an advantage.
The course is aimed at people interested in learning programming using the Python language, such as students, novice programmers, IT professionals, researchers, data analysts and software engineers. This course is suitable for both those who want to develop a career in programming and for those who want to improve their skills in problem solving and process automation using Python. It is ideal for participants who have no programming experience or who want to learn a new programming language.
• Basics of the Python programming language and introduction to syntax.
• Using Python applications and creating functional programs.
• Working with different types of data and using operators to manipulate them.
• Creating and using functions to organise and reuse code.
• Enhancing functions with decorators.
• Packaging functions into modules and creating complex packages.
• Object-oriented programming concepts and creating classes.
• Understanding meta-classes and how they can be used.
• Manipulating files and directories and accessing different file types.
• Extracting data using regular expressions (RegExp).
• Handling and handling errors and exceptions in Python code.
• Creating and executing tests to ensure code quality.
• Processing and manipulating data using the Pandas library.
• Working with databases and using APIs to access various types of databases, including NoSQL databases.
• Introduction to the Python programming language
• Using Python applications
• Use of different types of data and operators
• Create and use features
• Change functions using decorators
• Package creation
• Object-oriented programming
• Introduction of meta-classes
• Work and operations with files and directories and access different types of files
• RegExp Data Extraction
• Error and exception management
• Test writing and execution
• Data processing with Pandas
• Database operations, using APIs for database access and working with NoSQL databases
Certificate of completion.
The course provides participants with a comprehensive introduction to the Python programming language and the development of skills in various areas of programming.
The course develops essential Python programming skills, preparing participants for a variety of software development tasks and projects including preparation for machine learning and artificial intelligence projects.
There are no certification prerequisites for this course. Experience in knowing a programming language is an advantage.
The course is aimed at people interested in learning programming using the Python language, such as students, novice programmers, IT professionals, researchers, data analysts and software engineers. This course is suitable for both those who want to develop a career in programming and for those who want to improve their skills in problem solving and process automation using Python. It is ideal for participants who have no programming experience or who want to learn a new programming language.
• Basics of the Python programming language and introduction to syntax.
• Using Python applications and creating functional programs.
• Working with different types of data and using operators to manipulate them.
• Creating and using functions to organise and reuse code.
• Enhancing functions with decorators.
• Packaging functions into modules and creating complex packages.
• Object-oriented programming concepts and creating classes.
• Understanding meta-classes and how they can be used.
• Manipulating files and directories and accessing different file types.
• Extracting data using regular expressions (RegExp).
• Handling and handling errors and exceptions in Python code.
• Creating and executing tests to ensure code quality.
• Processing and manipulating data using the Pandas library.
• Working with databases and using APIs to access various types of databases, including NoSQL databases.
• Introduction to the Python programming language
• Using Python applications
• Use of different types of data and operators
• Create and use features
• Change functions using decorators
• Package creation
• Object-oriented programming
• Introduction of meta-classes
• Work and operations with files and directories and access different types of files
• RegExp Data Extraction
• Error and exception management
• Test writing and execution
• Data processing with Pandas
• Database operations, using APIs for database access and working with NoSQL databases
Certificate of completion.
Be the first to hear about our latest courses by signing up to our mailing list.
Contact