Python Certification Training in Brisbane, Australia

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices

Python Training Course Description

Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.  

Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. 

Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

Do you know what exactly is Python?

So what exactly is Python? It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

What Programming skills will you learn with this Python Certification Training Online?

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters

1

Python - Introduction

Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development.  Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. 

2

Python - Getting Started

Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.

3

Python - Basic Syntax

Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. 

4

Python - Variables

Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.

5

Python - Numbers

This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. 

6

Python - Strings

Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. 

7

Python - List and Tuple

Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.

8

Python - Dictionary

Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.

9

Python - Sets

Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. 

This module also explains how various set operations like union, intersection are performed using respective methods in Set class.

10

Python - Operators

This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.

11

Python - Conditional Statements

Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.    

12

Python - Loops

Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.

13

Python – Built-in Modules

Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. 

14

Python - User Defined Functions

Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.

15

Python – Functional Programming

This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details.  Learn how to use the map(), filter() and reduce() functions.

16

Python - Custom Modules

This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.  

17

Python - Packages

This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.

18

Python - Exceptions

This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.

19

Python - FileIO

Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.

20

Python - CSV

Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. 

The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. 

21

Python – Database Connectivity

This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.

Here, MySQL connectivity is explained by installing PyMySql module.

22

Python – Tkinter

Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.

23

Python - OOP

Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.

Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.

24

Python - Decorator

Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover,  learn about the @classmethod and @staticmethod built-in decorators as well. 

25

Python - Inheritance

In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.    

26

Python - Magic Methods

This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.

27

Python - Regex

This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.

28

Python - CGI

Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. 

29

Python – Send Mail

This chapter deals with the SMTP protocol with the help of the smtplib module.

A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.

30

Python - Object serialization

Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.

31

Python - Multithreading

In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.

32

Python - XML

This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.

33

Python – Socket Module

This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.

34

Python - Dataclasses

Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. 

Why Python Certification Course?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn in this Python Certification Course

Python Course Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who should Attend this Python Training Course

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Meet your instructors

Become an Instructor
Sukesh

Sukesh Marla

Founder

Irrespective of project size I believe in working as a team. We are a team of highly qualified engineers with each specializing in their own field like designing, testing and development.
Working in a team ensures the work is not affected in case of any eventuality of any of team member. This guarantees timely delivery.

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Projects in this Python Certification Course

Jumbled Word

Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.

Read More

Dice Rolling Simulator

Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.

Read More

Tic-Tac-Toe

Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.

Read More

Calculator

Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.

Read More
Note:These were the projects undertaken by students from previous batches.  

Python Certification Course Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Hands-on:

Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

What is Python

Python is a programming language that is high level and object-oriented. It is a very lucrative language that uses its dynamic building and typing for rapid application development. The language has a very easy syntax to learn and understand. It is highly preferred among developers because of its extensive libraries.
Python was developed by a member of the National Research Institute of Mathematics and Computer Science named Guido Van Rossum in the late 1980s. He was working at the CWI (Centrum voor Wiskunde en Informatica) as an implementer of the ABC programming language. He started to create a scripting language that had scripting similar to ABC language but also had access to the distribution system AMOEBA. He introduced the first version of the language as Modula 3 in 1991.

Guido van Rossum, developer of the Python language was a big fan of the 1970s comedy show named ‘Monty Python’s Flying Circus’. He was looking for a name for his language that was short and mysterious. Python matched this description and that is how the programming language got its name.

Python has become the new favourite after its adoption for product platforms by some of the biggest names, such as Spotify, Netflix, Facebook, Quora, etc. 
Here are the top 5 reasons why Python has become the most popular programming language for beginners and experts alike:
  • Community: The big open-source community of Python provides several projects online that you can easily use in your projects.
  • Corporate sponsor: Google is the corporate sponsor of Python. For beginner programmers looking to start using Python as the programming language, Google regularly updates guides and tutorials.
  • Academics: Python is used in academic and research purposes because of its general-purpose tasks usability. The language and its libraries are powering fields like Data science, artificial intelligence, machine learning, etc.
  • Efficiency: Python is a very efficient and versatile programming language. It can be deployed in any environment without any loss in performance. For minimizing the code’s length and maximizing its output, regular expressions are used.
  • Learning: Python is really easy to read, learn and understand. It has a short learning curve which makes it easy for any newbie to take up the language and start programming.

Here are the top reasons why you should start learning Python:

  • Ease of learning: Python has a very easy to read and understand syntax. You don’t have to be an expert in Python to understand the purpose of a basic Python program. 
  • General-purpose: Its general-purpose usability has led to its employment in several software applications ranging from web development to cloud computing to fields like Data Science and Machine Learning.
  • Big community: Thanks to its big global community, there are several stable packages available that are regularly updated by the developers.
  • Flexibility: Since it can be implemented with other languages, it is considered to be a very flexible language. For example, you can use Jython if you think Java will work better for a particular task.
  • Business use: More and more management professionals are getting attracted to Python as it can be used for data analysis.

Here are the 5 steps to getting started with Python:

  • Understand why Python: If you want to finish learning Python before you start, you need to know why you want to learn it in the first place. This will keep you motivated during your learning.
  • Install Python: You can either use the official website or the Anaconda package manager to download the latest version of Python.
  • Use IDE: Use the IDEs for debugging your code. You will need this for understanding the errors and learning from them.
  • Learn basics: Try blogs, courses, and online videos to learn the basics of Python-like variables, lists, tuples, functions, etc.
  • Implementation: Once you have a basic understanding of Python syntax, start creating programs. Without implementing your knowledge, you won’t be able to learn Python. 

Here is a list of topics which can help you learn Python quickly:

  • Help in Python: For learning the working of an object, use the help() function.
  • Indentation: Python uses indentation in place of curly braces for defining the scope of a code block.
  • Data types: Data structures like lists, dictionaries, and tuples are offered by Python. 
  • Flow control statements: It has the general flow control statements such as - if, for, while, and range(<number>).
  • Functions and classes: Python has a def keyword for functions and for classes, it has a class keyword.
  • Exceptions: try-except is used for exception handling.
  • I/O: File handling is performed by built-in libraries.
  • Importing libraries: External libraries can be imported into the Python program by:

import <library> or from <library> import <function> keyword.

Python Certification in Brisbane, Australia

No, on the contrary, Python is a very easy programming language to learn. Its syntax is similar to the English language that makes it easy for  developers to learn and understand. Also, it has a massive library and built-in functions that make creating programs easier and efficient.

Here are the 6 reasons explaining why Python is easy for beginners to learn:

  • It provides a simple, effective, and efficient approach to programming with the help of the data structure it provides.
  • The object-oriented nature of the programming language creates a base for other languages as well.
  • The in-built library and functions helps increase efficiency, reduce the program's complexity and save time.
  • Its syntax resembles the English language that makes it easy to learn and build programs with.
  • It has a gradual learning curve unlike the other programming languages like Java, C#, etc.
  • The vast and open source community of Python can help a developer if he/she is stuck somewhere. 

If you are a newbie and have no experience with any programming language, it will take you about 3 months, if you dedicate 4 hours each day to Python. Make sure that you cover the following topics in these 3 months:

  • Slicing in Python
  • File I/O
  • Using ‘os’, ‘sys’, ‘argparse’ module
  • Importing/Exporting modules
  • Use of ‘set’ and ‘dictionaries’ in real-life problems
  • Learning ‘list’ data structure
  • Generators for memory management

The 5 best ways to learn the Python programming language in 2019 include the following:

  1. Complete Python Bootcamp: Go from zero to hero in Python 3: This is a 24-hour course designed by Udemy. It is for beginners who want to learn Python. During the course, you will cover topics like classes, decorators, etc. You will be getting hands-on experience in the language. You will also learn how to develop games in Python.
  2. KnowledgeHut: Become an expert in Python programming by completing this 24-hour long certification program. The course covers all the essential topics of Python like operators, functions, indentation, control flow statements, and syntax. It also includes real-world projects and case studies to help you get extensive hands-on experience.
  3. The Python Bible™ | Everything You Need to Program in Python: This course is a project-based course provided by Udemy. In just 19 hours, you will be covering all the basics and important topics of Python like variables, loops, and data structures.
  4. Google's Python Class: Meant for inexperienced programmers, Google’s Python Class contains written materials, lectures, and coding exercises which cover the basic and advanced Python’s libraries like IO, HTTP, etc.
  5. Full Stack Python: Best Python videos: This website contains videos that cover both basic and advanced tutorials. Beginners and experts can use this resource to learn.

How to Learn Python in Brisbane, Australia

Here are the steps you need to follow to learn Python the right way:

1. Figure out what motivates you

Before you start learning Python, you need to figure out what motivates you to learn the language. You need to keep an eye on your goal so that you don’t leave midway. What you can do is figure out in which area do you want to implement your programming skills. Here are a few examples:

  • Data Science
  • Games
  • Hardware/ Robots/ Sensor development
  • Development of scripts to automate work

2. Learn the basic syntax

To do any programming and creating any application, you need to learn the basic syntax of the Python programming language. Since it has a very easy syntax resembling the English language, it will not take you much time to master it. Once you have understood the syntax, you can start creating basic programs. You need to implement your knowledge as you learn.

3. Develop Structured projects

After you have learned the syntax, you can start working on projects. It is the best way to learn Python. Without it, you won't be able to retain knowledge. You can either explore new solutions to already existing projects or create your own.

There have been certain releases of the language after Python 2. But still, several projects use Python 2. So, if you want to learn Python 2, here are the 3 best ways to do so:

  • Python 2 Course: This self-study course allows students to explore the tutorials on their own. Although this course is meant for beginners, intermediate level learners and experts can also study this course due to the depth of knowledge this course offers. If you want to try your hands on some programs, you can try the online Python interpreter provided by the website. You can even download the whole course.
  • Python 2.7 Tutorial: Based on the Python content of the YouTube channel 'mybringback', this course is for beginners. This a free, video-based tutorial that concisely explains everything.
  • Learn Python 2: This 22-part course is a mixture of two different Python courses – Google’s Python and Django’s girl Python tutorial. This free course can be completed in 4 weeks and covers topics like lists, dictionaries, regular expressions, Python 2 utilities, file I/O, sorting, etc.

Here are the 5 benefits of learning Python over other programming languages:

  • Platforms like big data, data mining, and automation use Python because of its utility for general-purpose tasks.
  • Since it is easy to learn, read and understand, it is used for programming as well as research.
  • The language is kept in trend with regular updates of its packages by its huge, open-source, global community.
  • It powers important frameworks like Django, Ruby on rails, etc. that make the development process smoother.
  • Python coders are more organized than coders of other programming languages like C#, Java, etc. This results in a productive coding environment.

The 4 best resources to learn Python include:

  • Learn Python 2 - Codecademy: This course does not require any prerequisites and takes about 25 hours to complete. It covers the fundamentals of Python programming language.
  • KnowledgeHut: Suitable for beginners, intermediate learners as well as Python experts, this Python certification program from KnowledgeHut will help you master the concepts of Python and its libraries like Scikit-Learn, SciPy, Lambda functions, Matplotlib, Pandas, NumPy, and Web Scraping.
  • Learn Python, it's cake - Udemy: This course by Udemy is meant for beginners and takes about 7 hours to complete.
  • Python for entrepreneurs: If you are an entrepreneur and are looking to incorporate Python in your business, you need to enroll in this course. It takes about 19.3hours to complete and costs $89.

Here is how you can learn Python 3 programming from scratch in 5 steps:

1. Find motivation: Before you dive into the language, you need to figure out what motivates you to learn. It can be any specific area in which you wish to implement your programming skills like machine learning, data science, game programming, and web development.

2. Learning basics: The syntax of Python is easy to learn. Even if you have a non-technical background, you will be able to learn it in a short period. Here are a few courses you can try for getting started with learning the basics of Python:

  • The Python Bible™ | Everything You Need to Program in Python
  • Google's Python Class

3. Implementation: Once you have understood the basics of Python, you need to start implementing it. It is the best way to learn Python. 

4. Social coding: You can try working on online open-source projects to get an understanding of how real-world projects work. Social coding will help you work on your skills and network with other developers that will help you in your career.

5. Competitions: Try participating in online and offline competitions. These are a great way to develop out-of-the-box thinking as you can follow the instructions to provide an optimum solution to the problem.

To learn Python for data science in 7 steps, you need to follow these:

  • Step 1: Install Python on your system and set up the environment with all the required tools.
  • Step 2: Start learning about Python. Start with its syntax and then move on to lists, dictionaries, tuples, import and export of functions/libraries, etc.
  • Step 3: Next step is data cleaning that involves correction of the input data. For example, regular expressions are required for processing textual data.
  • Step 4: Learn data science libraries like SciPy, scikit-learn, NumPy, matplotlib, etc. You can start creating projects to get a better understanding of these libraries.
  • Step 5: Data visualization is an important responsibility of a data scientist. Matplotlib is a library offered by Python for the same. Play with this library to visualize as much dataset as you can.
  • Step 6: Knowledge of machine learning is very essential in data science. There are several libraries provided by Python that can help you ready your ML model for data injection. Scikit-learn is a library used for the same. Deep learning skills are also required for becoming a data scientist.
  • Step 7: Practice as much as you can. Try projects or online competitions to practice your data science skills.

Python Developer Salary in Brisbane, Australia

A Python developer working in Brisbane can earn an average of about $104,204 every year as compared to the average annual income of a Python developer working in Sydney, which is $124,441.

https://au.indeed.com/salaries/Python-Developer-Salaries,-Sydney-NSW

Recently, an increasing number of companies have switched to Python owing to several benefits like readability, better design and robustness. Currently, there are 168 Python developer jobs available in Brisbane. Companies like Anonyome Labs, BOEING, CSIRO, Oracle, Canstar, Bank of Queensland, etc. are looking for Python developers to help them with their projects. 

As a Python developer in Brisbane, you will be able to enjoy a lot of benefits. Since, the demand for qualified Python developers is quite high, the opportunities for them are also high. They are able to fetch better salaries than developers trained in other languages.

Here are the perks and advantages of being a Python developer other than salary in Brisbane:

  • Ability to work in the field of their interest
  • Multiple job opportunities
  • Growth
  • Affordable city with a high quality of life

Companies that are hiring Python developers in Brisbane are M&T Resources, Data#3 People Solutions, Paxus, Opus Recruitment Solutions, Recon Solutions, Boeing Defence Australia, Peoplebank Australia QLD, Michael Page Digital, ERM Power Limited, etc.

Python Conferences in Brisbane, Australia

S.NO.CONFERENCE NAMEDATE
VENUE
1USQ Software Carpentry with Python 2019 Workshop
October 2, 2019- October 3, 2019

B207 A+B University of Southern Queensland Building B, 37 Sinnathamby Boulevard Springfield Central, QLD 4300 Australia

2IoT Training in Brisbane
August 8, 2019

TruVs, Brisbane,  Australia

3Ozri 2019
November 20, 2019

Brisbane Convention and Exhibition Centre 133 Grey Street South Brisbane, QLD 4000 Australia

 

1. USQ Software Carpentry with Python 2019 Workshop

  • About the Workshop: This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation.
  • Event Date: October 2, 2019- October 3, 2019
  • Venue: B207 A+B, University of Southern Queensland. Building B, 37 Sinnathamby Boulevard, Springfield Central, QLD 4300, Australia
  • Days of Program: 2 DaysA
  • Timings:  9:00 AM- 5:00 PM MYT 
  • Purpose:It enables coders to learn basic lab skills in order to apply it in research computing.
  • With whom can you Network in this conference: You can interact with both experts and beginners to explore the importance of Python in research computing.
  • Registration cost: Free

2. IoT Training in Brisbane

  • About the training: This training begins with an Introduction to IoT (Internet of Things), where and how IoT is being implemented today, IoT potential to transform the world as we know it, IoT architecture, different devices and technologies which can be part of an IoT solution and more.
  • Event Date: August 8, 2019
  • Venue: TruVs, Brisbane, Australia
  • Days of Program: 1 Day
  • Timings: 12:00 PM- 2:00 PM AEST
  • Purpose: It aims at providing complete knowledge of IoT technology, learn core concepts, background technologies of IoT and understand how to construct prevalent computing architectures.
  • With whom can you Network in this conference: You can interact with working professionals and software architects, who are enthusiastic in learning IoT.
  • Registration cost: $479.02 – $585.11

3. Ozri 2019

  • About the conference: Ozri brings the world’s leading geospatial minds and Australia’s Esri user community to Melbourne, to showcase the latest ArcGIS innovations and success stories.
  • Event Date: November 20, 2019
  • Venue: Brisbane Convention and Exhibition Centre, 133 Grey Street, South Brisbane, QLD 4000. Australia
  • Days of Program: 1 Day
  • Timings:  8:00 AM- 7:00 PM AEST
  • Purpose: It aims to inspire through a program packed with compelling user presentations and multiple conference streams and a dynamic TechHub exhibition area with technical demonstrations, new product launches and hands-on learning experiences. 
  • Registration cost: $280.50 – $1,044.50
S.NO.CONFERENCE NAME
DATE
VENUE
1.Introduction to Python
April 9- April 10, 2018

Training Choice, Mezzanine level, 88 Creek Street, Brisbane CBD

  • About the conference: This was a course for professionals from various backgrounds with little prior experience in programming. The focus was on automating day-to-day data analysis tasks.
  • Event Date: April 9- April 10, 2018
  • Venue: Training Choice, Mezzanine level, 88 Creek Street, Brisbane CBD
  • Days of Program: 2 Days
  • Timings:  9:00 AM- 5:00 PM 
  • Registration cost: $825/ DAY

Python Developer Jobs in Brisbane, Australia

Python developers are quite in demand right now across the globe. Brisbane is no exception. The city is home to several leading software companies and more than 600 tech startups. So, the scope for a Python developer in terms of job prospects is quite high in Brisbane.

The following companies are hiring Python developers in Brisbane:

  • Anonyome Labs
  • BOEING
  • CSIRO
  • Oracle 
  • Bank of Queensland

A Python developer working in Brisbane is responsible for:  

  • Writing server-side web application logic
  • Debugging
  • Integrating the code to the application

Learn Python Programming in Brisbane, Australia

Python is one of the most popular programming languages used by developers. Here are the main reasons why you should start learning Python programming immediately:  

  • Popularity and potential for high salaries: Python is the most popular language for software product development. There are more than 600 tech startups in Brisbane and most of these companies are using Python because it is free, easy, interpreted, object-oriented, and readable. It’s also a popular language that is universally used for meeting different development needs. It is for that reason that Python developers are one of the highest-paid developers. 
  • Extensible and portable: Extensibility and portability of Python allow the developers to carry on cross-language operations in a smooth manner. Leading platforms like Linux, Macintosh, Solaris, and PlayStation are supported by Python.
  •  Simple and Easy to learn: Python has a very simple, easy to learn syntax that resembles the English language. The reason behind its simplicity includes:
    • High level
    • Interpreted 
    • Free and open source
    • The large and active community of developers
  • Web Development: There are different frameworks offered by Python that allow website development. Since these frameworks are built on Python, they run Python code faster and in a more stable way.
  •  Testing Framework: Established companies use Python for validating their ideas and products. There are various testing networks available that allow fast debugging and workflow. 
  • Computer Graphics: The ‘Tkinter’ library of Python is used to develop applications in a fast and easy manner. Also, the ‘pygame' module is used for developing the game.
  •  Scripting and Automation: In Python programming, the code is written in the form of an executable script. The machine reads and interprets the code and checks for errors during runtime.

Here is how you can create your very first Python program in simple steps:  

  • Step 1: First, check if Python is installed in your system or not. Type in the following command and it will tell you the version of Python installed on your system:

Python --version  

  • Step 1: Open a text editor and write the following code:

  print “Hello world!”  

  • Step 2: Save the file as <filename>.py.
  •  Step 3: Fire up the command prompt or terminal, go to the directory where the file is saved and type in the following command.

  <filename>.py   Output: Hello world!

Here is how you can run a Python program in 2 different ways:  

  • In a Python shell
    • Open the IDLE (Python GUI) file
    • Type the Python script and hit enter
    • The program will run
  • Python program stored in a file
    • Use an independent file to write the script
    • Use the ‘.py’ extension to save the file.
    • Open up the terminal on your system.
    • Go to the location of the file:
      • Cd directoryName.
      • Hit enter
    • Next, type in the following command
      • Chmod a+x filename.py for telling the system that it is an executable program
    • Next, type ./filename.py for running the program.

 

There are 2 ways to run a Python script on Windows:  

  • Python REPL (interpreter)
  • The program file containing the commands
  • Just type Python to enter the REPL shell if Python executable binary is in your classpath.
  • If Python executable is in your windows classpath and you want to run a file, open a command prompt.

Here are the 5 steps involved in effectively running Python scripts on Mac OS X:  

  • First, you need to create a script in the document editor before you can use the Finder or the Terminal window to run the script.
  • Mac OS X comes with pre-installed Unix command line editors like vim and emacs.
  • For running Python script from the terminal window, add /usr/local/bin in the shell search path.
  • For running the Python script from the Finder, there are 2 options:
    • Dragging it to the PythonLauncher
    • Selecting PythonLauncher as the default application for opening the script through the Finder. 
  • For running the Python script with a GUI, you need to use Pythonw instead of Python for initializing the scripts.

Python Applications

Python is a multi-paradigm programming language that is extensively used in the following applications in the real world:  

  1. Web application development: With frameworks like Flask, Bottle, Pyramid, and Django, Python can provide smooth communication among different protocols, interfaces, and content management.
  2. Academics: Its general-purpose tasks utility and extensive libraries like Pandas, SciPy, Scikit-learn, matplotlib, and NumPy makes it useful for academic projects and research purposes.
  3. GUI-based applications: The Tkinter library is a GUI library offered by Python that helps in creating smooth interfaces in desktop applications.
  4. Business and enterprise applications: Its scalability, extensibility, readability and offering of multiple libraries have made it very popular in building e-commerce and ERP applications. Tryton and Odoo help Python in creating and supporting large applications.

The top 4 companies that use Python include:  

  • Fingent
  • Salesforce
  • Myriad
  • Tappr

Python Setup

Python is independent of the Operating System. Installation of Python depends on the platform you are using. However, if you have created a script, you won’t need anything extra to run it on any platform supported by Python.

To download and install Python 3 on Windows, follow these steps:
  • Visit the Anaconda home page
  • Click the Anaconda tab. Then, select the download tab to visit the Download page.
  • Select the download suitable for your operating system.
  • This will initiate the installation of the Anaconda Package in the system.
  • Install Anaconda
    • Click the Anaconda file that you just downloaded.
    • The Anaconda installation wizard will quickly install the Anaconda package in less than 10 minutes and would take less than 1 GB of disk space.

    • Initialize and update Anaconda

      • The Anaconda Python package contains a set of Graphical Tools, named as Anaconda Navigator. You can launch the navigator from the application launcher.
      • Select the Conda option from the Application Launcher window. 
      • To confirm if conda is installed in your environment, type the following command in the command prompt:
        • Conda -V
      • Type in the following command to check if Python is correctly installed in the system or not:
        • Python -V

      • If there are no errors, it means that the installation of Conda was successful.

     

    Python is usually installed in Mac OS X. However, you might require a newer version of Python. Here is how you can download and install Python on Mac OS X:

    • On the installation of Python on Mac OS X, you get the following:
      • A framework, viz. /Library/Frameworks/Python.framework. It includes Python executables and libraries. The location will be automatically added to the shell path. 
      • A folder will be created in the Applications folder named MacPython 2.7. It will contain the IDLE, the development environment. It also includes the following:
        • The PythonLauncher is responsible for handling the double-clicking Python scripts from the Finder.
        • The Build Applet tool that allows the developer to package the Python scripts as standalone applications
    • The build of Python is installed in the /usr/bin/Python and/System/Library/Frameworks/Python.framework. 
    • The IDLE has a help menu that contains Python documentation including FAQs and tutorials.

     

    Ubuntu LTS comes with pre installed Python 2.7 and Python 3.5 However, if your system doesn’t have it or you just wanted another version of Python, here is how you can do it:  

    • Fire up the terminal and update the apt-get package by typing in the following command. When prompted, enter the password:

      $ sudo apt-get update  

    • To install Python 3.6 type in the below command

      $ sudo apt-get install Python3.6  

    • Use the following command to run Python 3.6:

      $ Python3

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    Frequently Asked Questions on Python Certification Course

    Python Certification Course

    Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

    You will learn:

    • How to use the Python and its environment
    • How to use Python functions to manipulate data
    • How to use Python modules, regular expressions and object oriented concepts

    By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.

    There are no restrictions but we recommend having basic programming knowledge.

    Yes, KnowledgeHut offers python programming training online.

    On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

    Your instructors are Python experts who have years of industry experience. 

    Finance Related

    Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.

    KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..

    The Remote Experience

    In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

    Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

    Have More Questions?

    Python Programming Course in Brisbane

    Python Programming Training in Brisbane

    The capital of the Australian state of Queensland, Brisbane is a sprawling metropolis that is a thriving commercial centre and tourist destination. Its famed skyline has few rivals, and the modern infrastructure and high standard of living make it one of the best Australian cities to live in. The city is on a low-lying floodplain in the Moreton Bay Area and is famous for the pristine ‘Gold Coast’ in the Southern edge of the city. Brisbane is also an emerging hub for developers and coding professionals who are looking to take the next step in their career. There are regular Python conference/meetups in Brisbane featuring some of the best developers in the region.


    Why should you take up the Python Programming Course in Brisbane?

    In order to become a successful developer, you must be highly skilled at the best programming languages. This is a critical qualification for reaching the top end of the corporate hierarchy. One of the most popular coding languages today is Python, which is now being used by the best companies in the world to build cutting-edge digital solutions. This course will enable you to learn everything you need to become a Python developer and opens the door to a very lucrative career in the IT sector. The average Python developer salary in Brisbane ranges from $45,000 a year for beginners to as much as $200,000 a year for experienced developers.


    About Python Programming Certification in Brisbane

    This Python programming course in Brisbane by KnowledgeHut is one of the most comprehensive Python certification courses in the world. The curriculum includes thorough sessions on Python fundamentals, data structures, conditional statements, modules, regular expressions and more. You will have 24 hours of instructor-led training sessions coupled with 22 hours of hands-on training on Python. The course also includes over 100 hours of MCQ’s and assignments so that your learnings are truly tested. Python certification will make you a strong candidate in the eyes of companies hiring Python developers in Brisbane, and it is a tried and tested route to success for data scientists, programmers, web developers and engineers, beginners and professionals alike.


    Learn Python Programming in Brisbane with KnowledgeHut

    KnowledgeHut has built a reputation as one of the world’s leading providers of online certification courses. It has been recognized by global institutes such as the Project Management Institute and the Scrum Alliance. The institution has structured its courses to impart thorough learning by training students on real-life scenarios rather than just textbook learning. This helps our students jump quickly into real-world situations and display the expertise that they’ve honed during the Python training course. In this manner, KnowledgeHut has helped over 120,000 students around the world better their career prospects and learn new and exciting technologies and methodologies. So, what are you waiting for? Enrol at KnowledgeHut today and learn all there is to know about Python.