Python Training in Sydney

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Python

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Python

Python Course Overview

The basics of Python and real-world applications are covered in Python training in Sydney. Python data operations, strings, conditional expressions, error handling, shell scripting, web scraping, and Django are covered in the modules, projects handled at the end of the lessons, and assignments in the Python course in Sydney.

Python Certification Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that a course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 20+ assisted practices on all modules
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • Industry-recognized course completion certificate
  • 8X higher interaction in live online classes conducted by industry experts
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts

Skills Covered

  • Web scraping
  • Operators
  • Django
  • Sets
  • Conditional statements
  • Functions
  • Errors and exceptions
  • Objectoriented programming
  • Methods
  • Indexing
  • Dictionaries
  • Loops
  • File handling
  • Shell scripting
  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting
  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting

Take the first step to your goals

Lifetime access to self-paced e learning content

Benefits

Python is the world's second most popular programming language. Python training in Sydney is preferred by Data Scientists, AI Engineers, and Machine Learning Engineers for improving their careers. Programmers with this Python course in Sydney earn around $115,000 per annum.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Python Developer
    Annual Salary
    $68KMin
    $92KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Microsoft hiring for Python Developer professionals in Sydney
    Wells Fargo hiring for Python Developer professionals in Sydney
    IBM hiring for Python Developer professionals in Sydney
    Mindtree hiring for Python Developer professionals in Sydney
    Source: Indeed

Training Options

Self Paced Learning

  • Lifetime access to high-quality self-paced e-learning content curated by industry experts
  • 24x7 learner assistance and support

55% OffA$589A$1,299

Corporate Training

Upskill or reskill your teams

  • Flexible pricing & billing options
  • Private cohorts available
  • Training progress dashboards
  • Skills assessment & benchmarking
  • Platform integration capabilities
  • Dedicated customer success manager

Python Course Curriculum

Eligibility

Programmers believe that the Python course in Sydney to be sufficient because of its simplicity and usefulness in Data Science. This is beneficial to anybody interested in taking up Python training in Sydney for software development or data science professions. Software developers, software engineers, technical leaders, programming enthusiasts, and architects can benefit from the Python course in Sydney.
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Pre-requisites

This Python course in Sydney does not require any prior programming expertise or experience. Python is one of the powerful, useful yet very simple programming languages to learn, but it is also one of the toughest in which you can gain excellence. Anyone who works hard enough can obtain Python training in Sydney, but becoming a Python developer requires a lot of effort and patience. As a result, you might consider taking a Python course in Sydney to learn how to programme in Python.
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Course Content

  • Section 01 - Self Paced Learning Curriculum

    Preview

    • Lesson 01: Python Basics

      32:11Preview
      • 1.1 Course Introduction
        01:50
      • 1.2 Learning Objectives
        00:49
      • 1.3 Introduction to Python and It s Features
        06:10
      • 1.4 Python Introduction - Uses and Flavours
        06:16
      • 1.5 Python Introduction - Why Python
        00:55
      • 1.6 Software Installation and Environment Setup
        01:42
      • 1.7 Demo: Software Installation and Environment setup
        05:13
      • 1.8 Data Types
        04:24
      • 1.9 Input Output Functions
        01:23
      • 1.10 Demo: Data Types and Input Output Functions
        02:57
      • 1.11 Key Takeaways
        00:32

    • Lesson 02: Data Operations

      01:11:35Preview
      • 2.1 Learning Objectives
        00:26
      • 2.2 Data Type Conversion
        04:36
      • 2.3 Arithematic Operators
        02:35
      • 2.4 Comparision Operators
        03:14
      • 2.5 Assignment Operators
        03:02
      • 2.6 Bitwise Operators
        02:16
      • 2.7 Demo: Data Operations
        26:54
      • 2.8 String Methods
        05:01
      • 2.9 Demo: String Operations
        04:37
      • 2.10 List Methods
        02:37
      • 2.11 Demo: List Operations
        02:43
      • 2.12 Tuple Methods
        01:40
      • 2.13 Demo: Tuple Operations
        02:50
      • 2.14 Sets Methods
        01:50
      • 2.15 Dictionary Methods
        03:25
      • 2.16 Demo: Dictionary Operations
        03:28
      • 2.17 Key Takeaway
        00:21

    • Lesson 03: Conditional Statements and Functions

      30:57Preview
      • 3.1 Learning Objective
        00:20
      • 3.2 Expressions
        03:28
      • 3.3 Conditional Statement
        03:08
      • 3.4 Demo - Conditional Statement
        04:32
      • 3.5 Loops - for loop
        04:34
      • 3.6 Loops - while loop
        01:00
      • 3.7 Demo - Loops
        04:47
      • 3.8 Functions
        02:42
      • 3.9 Demo - Functions
        06:08
      • 3.10 Key Takeaway
        00:18

    • Lesson 04: Error Handling and File Operations

      01:04:13Preview
      • 4.1 Learning Objective
        00:25
      • 4.2 File Handling
        05:48
      • 4.3 Demo - File Handling
        04:12
      • 4.4 Errors
        04:45
      • 4.5 Exceptions
        04:51
      • 4.6 Demo - Errors and Exceptions
        05:56
      • 4.7 Logging
        03:02
      • 4.8 Demo - Logging
        04:59
      • 4.9 Python Debugger(Pdb Module)
        03:44
      • 4.10 Demo - Python Debugger
        07:46
      • 4.11 Objects and Classes
        03:35
      • 4.12 Objects and functions
        04:12
      • 4.13 Demo - Object Oriented Programming
        10:35
      • 4.14 Key Takeaway
        00:23

    • Lesson 05: Shell Scripting and Django

      36:17Preview
      • 5.1 Learning Objective
        00:24
      • 5.2 Shell Scripting
        04:21
      • 5.3 Sys, OS and Sub-Process module
        03:35
      • 5.4 Reading Writing Files and Working with Date-time Module
        04:42
      • 5.5 Demo - Shell Scripting in Python
        04:38
      • 5.6 Web Scrapping
        02:24
      • 5.7 Demo - Web Scrapping using Beautiful Soup
        06:22
      • 5.8 Django - Intro and Architecture
        03:59
      • 5.9 Demo - Django Installation
        05:31
      • 5.10 Key Takeaway
        00:21

    • Lesson 06: Logging Infrastructure

      52:58Preview
      • 6.01 Learning Objectives
        00:28
      • 6.02 Introduction to Python Logging
        04:48
      • 6.03 Concepts of Python Logging
        05:25
      • 6.04 Changing the Format of Logs
        05:00
      • 6.05 Python Logger
        07:12
      • 6.06 Using Python Logging
        05:21
      • 6.07 Logging Handlers and Formatters
        03:52
      • 6.08 Logging Flow
        05:16
      • 6.09 Configuring Logging
        02:09
      • 6.10 Extending Logging
        01:20
      • 6.11 Buffering Logs
        00:29
      • 6.12 Logging Best Practices
        06:13
      • 6.13 Rotating Log Files
        02:23
      • 6.14 Logging to a File
        02:35
      • 6.15 Summary
        00:27

    • Lesson 07: Unittest Infrastructure

      38:08Preview
      • 7.01 Learning Objective
        00:22
      • 7.02 Introduction to Unit Testing
        05:26
      • 7.03 Introduction to Unittest Framework
        02:16
      • 7.04 Concept of Unittest Framework
        02:51
      • 7.05 Command Line
        02:19
      • 7.06 Python Unittest
        07:51
      • 7.07 Using Python Unittest
        02:15
      • 7.08 Testing for Exceptions
        01:03
      • 7.09 Test Fixtures
        01:44
      • 7.10 Python Assertions
        03:29
      • 7.11 Classes and Functions
        06:13
      • 7.12 Pros and Cons
        00:42
      • 7.13 Mock object library
        01:15
      • 7.14 Summary
        00:22

    • Lesson 08: Networking Concepts

      45:47Preview
      • 8.01 Learning Objective
        00:31
      • 8.02 Introduction to Python Networking
        04:02
      • 8.03 Sockets
        02:37
      • 8.04 Socket Programming
        06:05
      • 8.05 Working with Python Networking
        05:39
      • 8.06 Data Models
        00:58
      • 8.07 Building Client-Server Communication
        06:05
      • 8.08 Socket Types
        02:35
      • 8.09 TCP Sockets
        04:10
      • 8.10 The Tornado Frameworrk
        01:39
      • 8.11 Building a Python Chat Server
        10:59
      • 8.12 Summary
        00:27

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Python Reallife Projects

  • Project 1

    Python Decorators

    Implement a Python decorator that should take whatever the decorated function returns, and writes it to a file in a new line.

  • Project 2

    Manage the Password

    Develop a new version of a password manager that can keep track of all the passwords that have been set for the respective accounts.

  • Project 3

    Patient Management Application

    Write an application in Django for a hospital receptionist that has features, including checking if the patient is already registered. If not register the patient.

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Python Exam & Certification

Python Certificate in Sydney

  • What should I do to have my Simplilearn Python training in Sydney certification unlocked?

    You must complete one batch of Python course in Sydney or 85 per cent of the online self-learning course, and have a successful project evaluation to complete the Python training in Sydney. The Python course in Sydney that is available online is designed to give students a fundamental understanding of Python's key ideas, concepts, and applications.

  • What system requirements are there to take the Python certification in Sydney?

    You'll need a computer with a Webcam, Chrome browser, Microphone, Speaker, Headphones, and consistent internet access to take up the Python certification exam after the Python training in Sydney. If you get an 85 per cent in the Python course in Sydney test, you'll get a certificate from the SimpliLearn after Python course in Sydney.

Python Course Reviews

  • Charlotte Martinez

    Charlotte Martinez

    New York City

    This is a good course for beginners as well as experts with all the basic concepts explained clearly. It's a good starter to move to python programming for programmers as well as non- programmers

  • Avery Anderson

    Avery Anderson

    New York City

    It was very well constructed, concise and to the point course. Great courseware

  • Sofia Taylor

    Sofia Taylor

    New York City

    This is one of the best courses I've taken on Simpliearn. The courseware is very well organized with a clearly thought-out learning progression. Simplilearn's Python course experience was great overall.

  • Dinesh Singh Kunwar

    Dinesh Singh Kunwar

    Dy. Manager (IT Applications) at Mahindra Comviva, Gurgaon

    Simplilearn's Python Certification Training was great overall, The curriculum was Nice and compact!

  • Peter Seboyeng

    Peter Seboyeng

    Cape Town

    After I completed the python course, there was a 20% increase in the number of freelance projects, I got. Also, my earnings increased by 30%.

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Why Join this Program

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

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