Python Beginners Course, 3 Day, Full time

Course summary

Our world is shaped by computer code. Come join us, learn to code.

Python Programming has become essential to all professional who would like to do data analytics, data science, machine learning, AI or any type of coding using Python. 

This Python Programming Beginners Course is a beginners course and teaches coding from scratch to intermediate.

Hands-on, practical. You will create real code, which would illustrate real life scenarios. You could publish your code as a port-folio. By the time you complete your course, you'll be able to demonstrate to your employer that you could perform as junior developer. 

Virtual attendance: Attend from your internet connection, download anaconda.com. You are welcome to ask us for assistance with download .

Duration: 3 Consecutive days, of which the first only shows on the booking.

Who Should Attend?

Here is the place to start. This course is intended entry level programmers who may have little in-depth knowledge of programming. 

Course Outline:

• Data Types, Variables, and Arrays: Primitive types; Characters & Strings; 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.

•  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. 

  Class Constructors; Parameterized Constructors; Inheritance. Override. 

• Data Structures: Lists. Tuples. Dictionary. Nested. Dictionary.

• Built-in Functions: Using Built-in functions for Strings, Numbers, Date and time, Random. Pattern Matching.

• Libraries: Numpy and Pandas, working with arrays, series and dataframes

• Exception Handling: Fundamentals of exception handling; Exception types; Using try and except.

• Files, streams: Create, Open, Traverse and Read Files: Csv, txt and Json Files.

• Database: Connect to a database, create Database,  create tables, insert, delete, update records, query a database and display results.

•  API: Connecting to API’s