Python Basics Training

Course Description

Python Basics technical training offers professionals the basic knowledge of Python 3. This program will help professionals know about the conditional execution and iterations of Python as control structures. In this course, a professional will program a turtle on the screen to draw pictures. However, the course also teaches professionals about reference diagrams. The reference diagrams enhance professionals program executions and make them stronger in their debugging skills. Further, the course has no prerequisites. Reading this course will help professionals know the fundamentals of python programming.

Prerequisites for this training

Basic familiarity with any programming or scripting language
Have a working, user-level knowledge of Unix/Linux, Mac, or Windows

Who should attend this course?

Professionals who are new to Python and scripting.

What you will learn

How to get started with Python
Standard and popular 3rd party libraries
Version control with git
Storing data in list and dictionaries
Working with objects and methods, conditional statements, looping, creating functions, and building classes

This is a lab-intensive hands-on course with engaging instruction, demos, and discussions.

With Microtek Learning, you’ll receive:

Certified Instructor-led training
Industry Best Trainers
Official Training Course Student Handbook
Pre and Post assessments/evaluations
Collaboration with classmates (not available for a self-paced course)
Real-world knowledge activities and scenarios
Exam scheduling support*
Learn and earn program*
Practice Tests
Knowledge acquisition and exam-oriented
Interactive online course.
Support from an approved expert
For Government and Private pricing*

* For more details call: +1-800-961-0337 or Email: info@microteklearning.com

Our Clients

For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.

300+ enterprise clients
100,000+ professionals trained
Service 70 of the Fortune 100
96% of our clients would recommend us

Our Awards

Curriculum

Introduction to Python

Installing Python 2.7+

Installing Python 3.x

Preparing to write Python

Preparing to write a Python file (*.py) - Text Editors

Executing a Python file

Python Enhancement Proposals

How to “speak” Python

Python Statements and Control Flow

Python Interpreter

Overview of the Standard Library

Version Controlling Code

Set up a github account

Github essentials

README course requirements

How to Set up a repo

Issue a Pull request

How to use “Issues” for peer review

Basics of Programming

Functions

Objects

Methods

Built in Functions

Functions and Arguments

Print()

White spacing basic rules

String Literal Escape Sequences

Python Variables

Naming Conventions & Rules

Types as Objects

Sequence Types

List Iteration

List Enumeration

Sequence Assignments

Mutable vs Immutable Objects

Assignment Shorthand

Python Basic Variables and Data Types

Numeric Types

Operators and Precedence / Arithmetic Expressions

Integers

Floating points

String Types

Generating Strings in Python

Common String Methods

Formatting String Output

Booleans

Printing and formatting strings

Scripting with input()

About raw_input()

Lists, Dictionaries, and Tuples

Lists

Mixed Lists

Common List Methods

Other List Operations

Dictionaries

Python Dictionaries

Keys and Values

Dictionary Building

Dictionary Methods

Tuples

Python Time Tuples

Dictionaries vs Lists vs Tuples

Translating JSON to Pythonic Lists, Dictionaries and Tuples

If, elif, else

Relational Operators

Logical operators

Comparison Operations

“simple” if Statement

If else statements

If elif

Nested if statement

Looping with “while”

While usage

Count controlled loop

Event controlled loop

Continue

Break

Looping with “for”

The for Loop

For iteration examples

Looping across data sets

Looping across lists of lists

Looping across lists of dictionaries

Understanding Iterators

The range() Function

Taking the range() of len()

Iterable Objects

The iter() Function

Looping with dictionaries

Looping with lists

Getting Data In and Out of Python

Opening Files

Working with Files

Read data from files

Controlling Output Location

Intro to working with APIs

What is a “REST”ful API?

APIs and JSON

Python List Comprehension

Basic List Comprehensions

Compound List Comprehensions

Creating Python Functions

Function Basics

Defining Functions

Function Polymorphism

Argument Defaults

Lambdas

Local Variables

Variable Masking

Creating functions using Sorted() and sort()

Preventing Variable Modifications

Argument Matching Methods

Modules and Packages

Pip and pip3

Module Basics

Packages

Virtual environments

Defined modules

Import modules

From import statements

Namespace

Python Scope

Naming conventions

Local scope

Global scope

Nested scope

Object Oriented Python

About OOP

The Class Statements

Defining a class

Class Inheritance

Classes as Objects

Using Dictionaries

Understanding self

Class fields and constructors

Data structures

Subclasses (Inheritance)

Multiple Inheritance

Static methods

Regular Expression (Optional)

Import re library

Writing regular expression

Searching for data in files

Using Regular Expression to search data sets

Searching for data in Wireshark Traces (Python and *.pcaps)

REVIEWS ON OUR POPULAR COURSES

I was sceptical at first whether to enrol with Microtek Learning or not, however, I am glad that I did- I got everything that was promised (maybe more). The trainer was very patient and knowledgeable and with his effort and mine, I was able to clear the exam with ease! Keep up the good work everyone.

MARTIN

TORONTO, CANADA

I'm really impressed with the storytelling skills of the instructor. She makes the session exciting by keeping things simple and easy to understand.

Prince N.

Texas

I was recommended the ITIL 4 Foundation course by an IT professional who had completed the same course at Microtek Learning. The training gave me a thorough understanding of service management that I felt I could take back to my job as an IT Project Management and apply it to improve the value of products and services.

Marsh George