Python EVENINGS Course, Online Instructor-led

Description

Basic Python syntax and principles of object-oriented programming.
Most attendees are in-work IT Professional.
Private individuals are also very welcome.
Evening courses also running.

Our Style: Hands-on, Practical
Location: Online, Instructor-led
Download: anaconda.com
Duration: 4 weeks, 1 evening per week, 6pm - 8pm
Times: arrange a time for your time zone

Connection Link For the course: https://meet.goto.com/910697125

Once you have made the payment, use the above link on the date booked, to connect with the trainer.

This Python course London Evening covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects. You can publish your code online to keep as a portfolio.

This Python Programming course is hands-on and practical, to give you in-depth, practical experience of the topics covered.

Python Data Types and Variables:
Primitive Data types; Working with variables and its scope; Conversion and casting types in Python.
Operators and Expressions:
Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.

Decision Making:
If statement; If - else statement; If- elif - else statement; Nested if - else.

Using Loops:
The while, while-else.
For loop;
Jump statements: break, continue;
Nesting loops.

Lists.
Tuples.
Sets.
Dictionary. Nested Dictionary.
Json Files.

Reading csv and text files

Connecting with a database and run SQL Queries.

Using built-in modules and functions:
Strings Functions.
Maths Functions.
Random Functions.

Data Frames;

Getting data into a dataframe:
Dict to Dataframe, Dataframe to Dict.
Dataframe basics:
Slicing Dataframes,
Getting information about the dataframe,
Filter and query a Dataframes,
Working with null-values.

Creating and using custom Functions.
Creating functions;
Using parameters and return values;

Introduction to Classes and Objects:
Creating a Class;
Creating an Object; Using an Object;
Adding instance variables; controlling accessibility; and naming conventions for class members.
Class Constructors; Parameterized Constructors.
Inheritance. Overload.