Python Programming Beginners 3-Day Course, London

Python Programming Beginners 3-Day Course, London
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Mon 8 June 2020
Monday 8 June 2020
Dates and times
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Python Beginners Course

Course summary

This Python Programming course has become essential to all professional who would like to do data analytics, data science or machine learning using Python. It is a beginners course and teaches coding from scratch to intermediate. Hands-on, practical.

Bring your own laptop. 3 Consecutive days, of which the first only shows on the booking.

Who Should Attend?

This course is intended for programmers who need to write or maintain scripts in Python. This course is also suitable for trainee programmers who may have little, to no 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.

    Using Built-in modules and functions. 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

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