Excellent Python Courses. Tutors well experienced. Course well paced, practical, hands-on, in classroom OR online.
Python Beginners Course
Course summary
Hands-on, practical. Create your online prortfolio of excellent examples, and go back to work with something great to show.
This Python Programming course has become essential to all professional who would like to do data analytics, data science or machine learning using Python.
Bring your own laptop.
Who Should Attend?
This course is a beginners course. It teaches coding from scratch to intermediate. Excellent programmers at entry level to Python.
Course Outline:
- Data Types, Variables, and Arrays: Primitive types; Boolean; Working with variables and its scope; Type conversion and casting.Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators; More in operators.
- Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else;
- Using Loops: The while, while-else; do-while and the for loop; Enhanced for loop; Jump statements: break, continue; Nesting loops.Data Structures: Lists. Tuples. Dictionary. Numpy Arrays, Panda Dataframes.
- Using Built-in modules and functions. Pattern Matching. Random Functions, String Functions, Number Functions, Date Functions.
- Object-Oriented Programming (OOP) principles.
- Using Modules: Creating and using Functions.Creating a Module in class; Calling a Module; Returning value from a Module; Adding a Method that takes parameters;
- Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Inner Classes.Class Constructors; Parameterized Constructors;.Inheritance. Override. Overload.
- Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; Final and else blocks.
- Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files.Database: Connect to a database, create Database, drop a database, create a table, alter tables, drop a table, insert, delete, update records, query a database and display results.
Excellent Python Courses. Tutors well experienced. Course well paced, practical, hands-on, in classroom OR online.
Python Beginners Course
Course summary
Hands-on, practical. Create your online prortfolio of excellent examples, and go back to work with something great to show.
This Python Programming course has become essential to all professional who would like to do data analytics, data science or machine learning using Python.
Bring your own laptop.
Who Should Attend?
This course is a beginners course. It teaches coding from scratch to intermediate. Excellent programmers at entry level to Python.
Course Outline:
- Data Types, Variables, and Arrays: Primitive types; Boolean; Working with variables and its scope; Type conversion and casting.Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators; More in operators.
- Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else;
- Using Loops: The while, while-else; do-while and the for loop; Enhanced for loop; Jump statements: break, continue; Nesting loops.Data Structures: Lists. Tuples. Dictionary. Numpy Arrays, Panda Dataframes.
- Using Built-in modules and functions. Pattern Matching. Random Functions, String Functions, Number Functions, Date Functions.
- Object-Oriented Programming (OOP) principles.
- Using Modules: Creating and using Functions.Creating a Module in class; Calling a Module; Returning value from a Module; Adding a Method that takes parameters;
- Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Inner Classes.Class Constructors; Parameterized Constructors;.Inheritance. Override. Overload.
- Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; Final and else blocks.
- Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files.Database: Connect to a database, create Database, drop a database, create a table, alter tables, drop a table, insert, delete, update records, query a database and display results.
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Highlights
- Online
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