Python Certification Training in Singapore, Singapore

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

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.

View Profile

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 high level, object-oriented programming language that is used for rapid application development as well as dynamic building. Since its syntax is similar to the English language, the language is very easy to learn, read, write, and understand. Python is highly preferred among developers because of its easy inference, extensive libraries, readability, removal of compilation steps, etc.

Guido Van Rossum was working as an implementer of ABC programming language at the National Research Institute of Mathematics and Computer Science when he first conceptualized Python in the late 1980s. He wanted to create a language with a Syntax resembling the ABC language. Later in 1991, he designed the first version of the language which overcame the flaws of ABC under the name ‘Modula 3’.

Guido Van Rossum, creator of Python, was a big fan of the hit comedy TV show of BBC, Monty Python’s Flying Circus. He picked the name ‘Python’ from the show for his pet project as it was unique and mysterious.

Python is undoubtedly the most popular programming language among beginners and experts alike. Here are the top 5 reasons for this popularity:  

  • Community: Python is supported by its big, global, open-source community. Millions of Python developers use it on a daily basis and continue to improve their projects based on the tips and tricks they receive.
  • Corporate sponsor: Python’s corporate sponsor is Google. It maintains and updates the tutorials and guides of Python regularly so that beginners can learn the programming language. 
  • Academics: Python can be used easily for general purpose tasks. This makes it very useful for research purposes as well as for powering fields like data science, machine learning, etc. 
  • Efficiency: Python is a very efficient language. Its regular expressions can be used for decreasing the length of the code and increasing the output. 
  • Learning: It has a syntax similar to the English language and a short learning curve that makes it easy to learn, read, and implement.

If you want to become a developer, learning Python programming is the way to go.  The top reasons for learning Python are:  

  • Ease of learning: Python has an easy syntax that makes it readable and easy to learn. Even if you are a newbie at programming, it won’t take you long to become an expert.
  • General-purpose: Python is used in several fields like data science, machine learning, cloud computing, web development, etc. This is because of its general-purpose tasks utility.
  • Big community: Python has the support of its community of developers from across the globe. There are several libraries and packages available that keep the language updated with the latest trends.
  • Flexibility: Python’s flexibility allows it to be used with other programming languages as well. 
  • Business use: Python helps make great software. Business depend on the software and its functionality and software depend on the way it is coded. 

As a beginner, here is how you can get started with Python:  

  1. Understand why Python: Understand why you want to learn Python. This will help you stay focused and motivated.
  2. Install Python: Next, you can use the Anaconda package manager or the official website of Python for installing the language.
  3. Use IDE: Bugs are a major part of programming. They might frustrate you a little but they make you a better coder. You can use IDEs for debugging your code. 
  4. Learn basics: Start learning the fundamentals of Python thorough courses, videos, and blogs.
  5. Implementation: Start coding. No matter how much you study, you need to implement your coding skills to become an expert in Python. 

Here are a few topics that will help you learn Python fast:  

  • Help in Python: To know how an object works, use the help() function. 
  • Indentation: Indentation is used in place of curly braces to define the scope of a code block. 
  • Data types: You need to have a complete understanding of the data structures offered by Python like tuples, lists, and dictionaries. 
  • Flow control statements: If, for, while, and range(<number>) are the flow control statements. 
  • Functions and classes: For functions, def keyword is used and class keyword is used for classes. 
  • Exceptions: Try-except deals with exception handling. 
  • I/O: Built-in libraries are responsible for file handling.
  • Importing libraries: For importing external libraries in the main program use:

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

Python Certification in Singapore

No, it is a very easy language to learn because of the following:  

  • Easy syntax that resembles the English language
  • Efficient programming due to built-in functions
  • Several libraries that makes the development process easy

Yes, Python is considered to be the easiest programming language to learn because of the following reasons:  

  • Because of its object-oriented nature, it forms a base for other object-oriented programming languages.
  • Data structures offered by the language make programming effective and efficient.
  • The built-in library increases efficiency and decreases the complexity of the program.
  • The syntax of Python has a similarity to the English language that makes it easy to read and comprehend.
  • It has the support of a huge, global, and open-source community which collaborates for its code through hosting conferences and mailing lists.
  • It has a gradual learning curve which makes it easy to learn.
  • There are so many tutorials and courses available online for Python.

Python is an easy language to learn. If you have experience in coding, you can become an expert in Python in less than a month. However, if you have zero experience in coding, it might take you about 3 months with 4 hours a day to become an expert from a newbie.

The 4 best ways for learning Python programming language in 2019 are:  

  • Complete Python Bootcamp: Go from zero to hero in Python 3: Meant for beginners, this 24-hour long course from Udemy involves topics like classes and decorators and implementing it in creating games on Python. 
  • KnowledgeHut: Suitable for beginners, intermediate learners as well as Python experts, it is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. The course also includes core concepts-control flow, operators, functions, syntax & indentations.
  • Google's Python Class: This course contains written materials, lectures and coding exercises covering the fundamentals of the language as well as advanced libraries used in Python.
  • Full Stack Python: Best Python videos: This course has lots of video tutorials with basics and advanced topics. This means it can be used for beginners as well as experts.

How to Learn Python in Singapore

If you want to learn Python, here is the right way to do so:    

  • Figure out what motivates you: Understanding what motivates you to learn Python will help you stay motivated and focused. Research and find out in which field you want to implement your Python skills. You can select any field like developing websites, mobile applications, games, data science, machine learning, automation, and hardware/sensor/robots development, etc.     
  • Learn the basic syntax: Next, you can start learning the basics of Python. Python has an easy syntax with gradual learning curve. So, it won’t take you much time to get familiar with the fundamentals of the language and start developing basic programs.     
  • Develop Structured projects: Next, you need to move on to projects where you can work on your programming skills. It is the most effective way to learn Python.

Python Version-2 is still used in several systems. Below are the 3 best ways to learn Python Version-2:  

  • Python 2 Course: This course is meant for beginners as well as experts. It is a self-study course. So, you can explore the course by yourself. There is a Python interpreter available on the website. 
  • Python 2.7 Tutorial: Meant for beginners, this course is based on the YouTube channel, mybringback’s, Python content. There are tutorial videos and additional material available for free that can help you get started with Python. 
  • Learn Python 2: Created by combining Google’s Python class and Django girl’s Python tutorial, this 22-part course covers topics like lists, dictionaries, sorting, regular expressions, file I/O, Python 2 utilities, etc. 

Here are the 4 benefits of learning Python over other programming languages:  

  • Python’s general purpose utility allows it to power major fields like automation, big data, and data mining.
  • Since it is easy to learn, read, and implement, it is recommended for academic and research purposes. 
  • Python has the support of a huge, open-source community consisting of Python developers from across the globe. They help in updating the language and its packages. 
  • Python helps in carrying out the development process smoothly through its frameworks like Django, Ruby on Rails, etc.

The 4 best resources to learn Python are as follows:  

  • Learn Python 2 - Codecademy: This course by codecademy takes about 25 hours to complete during which all the fundamentals of Python are covered. 
  • Real Python: This course includes implementation of Python in web development. You will be learning the fundamentals of Python as well as frameworks like Flask, web2py, and Django. 
  • Learn Python, it's cake - Udemy: This free, concise course by Udemy is for beginners. It will take 7 hours to complete. 
  • Python for entrepreneurs: This 19.3 hours long course costing $89 USD is best for you if you want to implement Python in your business.

If you want to learn Python 3 programming from scratch, here are the steps you need to follow:  

  • Find motivation: You need to find out what motivates you to learn Python. It can be any field where you want to implement Python like data science, machine learning, web development, game programming, etc.
  • Learning basics: Next, you can start learning the basics of Python. Begin with the syntax. You can try one of the following courses to get a thorough knowledge of Python’s basics:
  • Implementation: Next, you need to start coding. The more you practice, the better your programming skills will be. Start creating your own projects. You can also try providing alternate solutions to already solved problems. 
  • Social coding: The next step is moving on to open-source projects. Not only will it help you improve your programming skills, but will also help you in building your network by creating professional connections.
  • Competitions: You can try participating in online competitions like Kaggle where you can work on your programming as well as problem-solving skills.

 

If you want to learn Python for data science, you can do so by following these simple 7 steps:

  • Step 0: Set up the environment required for programming by downloading Anaconda.
  • Step 1: Start with learning the basics of Python including its syntax, functions, and libraries. Concepts like lists, tuples, dictionaries, and libraries and functions’ import/export, etc. must be clear.
  • Step 2: This step involves gathering the data required for the project. Since most of the data is in an unstructured form, you will have to clean the data and prepare it for analysis.
  • Step 3: Knowledge of data science libraries like NumPy, SciPy, scikit-learn, matplotlib etc. is essential for using Python in data science.
  • Step 4: You can visualize the data using graphs and charts through the matplotlib library of Python. With data visualization, you can better understand the data.
  • Step 5: Machine learning skills are a must for working in data science. Libraries like scikit-learn are used for setting up the ML model.
  • Step 6: Participate in online competitions like Kaggle to work on your coding and problem-solving skills. Create more projects.

Python Developer Salary in Singapore

In Singapore, a Python developer can earn about S$61,355 per year as opposed to $118,878 in Chicago.
https://www.indeed.com/salaries/Python-Developer-Salaries,-Chicago-IL 

The average income of a Python developer in Singapore is S$61,355 as compared to $124,145 in Boston.  
https://www.indeed.com/salaries/Python-Developer-Salaries,-Boston-MA 

Singapore is known as the 'Silicon Valley of Asia'. There are around 5,637 startups in Singapore, including Grab, Garena, Astroscale, etc. Most of these startups have built their businesses on Python. So, the demand of Python developers in Singapore is quite high. The country is home to several tech-based companies that are actively hiring Python developers. Examples of such companies include Dynamic Human Capital Pte Ltd, Search Index Pte Ltd, RecruitPlus Consulting Pte Ltd, Talentvis Singapore Pte Ltd, Ambition Group Singapore Pte Ltd, etc.

A Python developer can enjoy several benefits in Singapore including the following:

  • Impressive Salary and low income tax
  • Multiple job opportunities
  • Opportunity to build your network
  • High quality of life and low cost of living

Apart from salary, there are several perks and advantages that a Python developer working in Singapore can enjoy. Since the language is extensively used in data science projects, Python developers get a chance to connect with the top-level executives of the organization. 

Python Conferences in Singapore

S.NoCONFERENCE NAMEDATEVENUE
1.Short Course - Python for Beginners

August 3, 2019- August 4, 2019

Informatics Academy Pte Ltd 100 Victoria Street #13-01/02 National Library Building Singapore, 188064 Singapore

2.Python Series Training Program: Python from Zero to Hero

 Jul 27, 2019–Nov 16, 2019

AXA tower floor 15, Tanjong pagar mrt exit E Singapore  068811 Singapore

3.Learn Python Programming Course for Beginners at Inspizone Trainings
 Jul 27, 2019–July  28, 2019

Inspizone Pte Ltd 10 Anson Road, 26-08A, International Plaza Singapore, Singapore 079903 Singapore

4.PyCon Singapore

October 10, 2019- October 12, 2019

TBA

1. Short Course - Python for Beginners

  • About the Conference: It is an introductory conference wherein the attendees will be taught the fundamentals of coding in Python, a powerful, modern, industry demanding language.
  • Event Date: August 3, 2019- August 4, 2019
  • Venue: Informatics Academy Pte Ltd, 100 Victoria Street, #13-01/02 National Library Building, Singapore, 188064
  • Days of Program: 2 Days
  • Timings: 10:00 AM- 5:00 PM on both days
  • Purpose: Participants will learn to write programs, perform various operations, manipulate and visualize data. Participants completing this course will be prepared to take up the advanced modules.
  • With whom can you Network in this conference: You can interact with both experts and beginners to explore Python as a programming language.
  • Registration cost: $200

 2. Python Series Training Program: Python from Zero to Hero

  • About the Conference: Python from Beginner to Hero is a series training program, which includes four different level 4-week intensive course. In these weeks, you will be fully exposed to Python and data science both online, offline.
  • Event Date: July 27, 2019- November 16, 2019
  • Venue: AXA tower floor 15, Tanjong pagar mrt exit E, Singapore -068811, Singapore
  • Days of Program: 4 Weeks 
  • Timings:  9:00 AM- 12:00 PM 
  • Purpose: Students will get hands-on experience and learn more about Python from experts.
  • Registration cost: $349-$1200

3. Learn Python Programming Course for Beginners at Inspizone Trainings

  • About the Conference:  In this course, you'll learn the fundamentals of the Python programming language, along with its best practices. 
  • Event Date: July 27, 2019- July 28, 2019
  • Venue: Inspizone Pte Ltd, 10 Anson Road, 26-08A, International Plaza. Singapore, Singapore 079903, Singapore
  • Days of Program: 2 Days
  • Timings:  9:30 AM- 5:00 PM on both days
  • Purpose: It aims to teach you the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions. 
  • Registration cost: $500.94

4. PyCON Singapore

  • About the PyCON: Python Conferences, or PyCon, are conferences about Python usually done by grassroots volunteers in different cities where various aspects of Python are discussed.
  • Event Date: October 10-12, 2019
  • Venue: TBA
  • Days of Program: 3 Days
  • Registration cost: Standard- $400
S.NO.CONFERENCE NAMEDATE
VENUE
1.PyCon 2018

May 31- June 2, 2018

National University of Singapore

1. PyCON Singapore

  • About the PyCON: PyCon is for Python enthusiasts of all experience levels, from new users to core developers and is organized by members of the of the Python community. 
  • Event Date: May 31- June 2, 2018
  • Venue: National University of Singapore
  • Days of Program: 3 Days
  • Registration cost: Standard- $400

Python Developer Jobs in Singapore

Singapore is home to leading tech companies, such as Microsoft, Grab, LinkedIn, Ubisoft, etc. According to a report published by US-based Startup Genome project, Singapore has overtaken tech mecca Silicon Valley as the world’s number one for startup talent. Since Python is free, all small and medium level companies in Singapore are using it to develop applications and software. So, the scope of Python developers in Singapore is quite high.

Companies that are hiring Python Developers in Singapore include Infosys, Dow Technologies and Systems, Adecco – GS Perm, Morgan McKinley, etc.  The following companies are hiring Python developers in Singapore:

  • Michael Page
  • ScienTec Personnel
  • JobsStudio Pte Ltd
  • Trinity HR Solutions Pte Ltd
  • A-IT Software Services Pte Ltd

To network with other Python developers in Singapore, you can try one of the following groups:

The responsibilities of a Python Developer in Singapore are:

  • Writing code and Testing code
  • Debugging
  • Integrating code with the applications 
  • Creating logics for Data processing and computations

Learn Python Programming in Singapore

If you want to learn programming, here are 5 reasons why you should start with Python:  

  • It is a very popular programming language that is used in several systems and applications across the globe. This brings in multiple job opportunities and handsome salaries for the Python developers.
  • Its portability and extensibility allows it to perform cross language operations and support platforms like Mac, PlayStation, Solaris, and Linux.
  • It is a free, open-source, high-level, interpreted language whose syntax resembles the English language. This makes it easy to learn, read, and write.
  • Python frameworks are used for web development. 
  • It has testing networks that allow faster workflow, debugging, and validation of ideas and products.
  • It has a GUI library named ‘Tkinter’ that can be used for developing smooth interfaces in an application. The ‘pygame’ module can be used for game development.

To create your first program in Python, follow these steps:  

  • Use the command, ‘Python—version’ to check if Python is installed in the system or not.
  • Type your code in any text editor. For example, print “Hello world!”
  • Save the file with .py extension like <filename.py>
  • Fire up the command terminal or prompt. Go to the location of the saved file and use the command <filename.py>.

Output: Hello world!

To run a Python program, you can try one of the following ways:  

1. Using a Python shell 

  • Open the IDLE (Python GUI) file
  • Write the Python script and hit enter

2. Using a file 

  • Write your script in a file and save it with a .py extension.
  • Open the terminal and go to the directory where the script is saved.
  • Type ‘Chmod a+x’ to let the system know that script is an executable program.
  • Last step is typing ./filename.py for running the program.

There are 2 ways for running a Python script on the Windows:  

  • Python REPL (interpreter)

If the classpath contains the Python executable binary, you can enter the REPL shell by simply typing Python.

  • Python program file 

If your windows classpath has the Python executable, you have to open up a command prompt and go to the location of the file.  

  • For example:

  >> C:\Users\y\hello.py   - For Windows $ /usr/bin/hello.py          - For Linux (Ubuntu)

Here is how you can effectively run Python scripts on Mac OS X:  

  • The first step is creating a script in the document editor like vim or emacs. 
  • To run the Python script from the Terminal window, you need to add /usr/local/bin in the shell search path. 
  • To run the Python script from the Finder, try one of the following: 
    • Dragging the script to the PythonLauncher
    • Set PythonLauncher as the default application. 
  •  Initialize the script using Python to run the Python script with GUI.

Python Applications

The top applications of Python programming language in the real world:  

  1. Web application development: Python is used in frameworks like Django, Flask, Pyramid, and Bottle which are used for smooth communication between the content management and the protocols/interfaces. 
  2. Academics: Python’s general-purpose tasks utility and in-built library makes it useful in academic projects and research purposes. Libraries like Matplotlib, NumPy, Pandas, Scikit-learn, SciPy, etc. are used in fields like data science and machine learning.
  3. GUI-based applications: The Tkinter library of Python is a GUI library used for creating smooth interfaces in desktop applications.
  4. Business and enterprise applications: Python’s libraries like Odoo and Tryton are used to build and support large applications like ERP and e-commerce.
  • McGregor Boyall Associates Pte Ltd
  • Infosys Limited
  • Accion Labs Pte Ltd
  • Dow Technologies and Systems

Python Setup

Python doesn’t depend on the platform. This means that once you write a Python script, you can run it on any operating system with Python installed on it.

  To download and install Python 3 in Windows, you need to follow these steps:  

  • Go to the home page of Anaconda:
  • Download the version of anaconda that suits your operating system. 
  • Next step is to start installing the Anaconda Package which will take about 10 minutes. 
  • To initialize Anaconda, follow these steps:
    • Anaconda Navigator is a set of graphical tools present in the Anaconda Python package. Launch this through the application launcher.
    • Select the Conda option from the Application Launcher window. 
    • Fire up the command line window and use the following command to confirm if Conda is installed in the system or not.
      • Conda -V

These 3 easy steps will help you download and install Python on Mac OS X:  

  1. Install Xcode: Use the following command to install Xcode:

$ Xcode-select --install

  1. Install brew: Next step is installing Homebrew, package manager of Apple. Use the command:

/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)" Use the command ‘brew doctor’ to confirm the installation.

  1. Install Python 3: Type in the following command for installing command:

brew install Python.

Follow the below-mentioned 3 easy steps for downloading and installing Python on Ubuntu:  

  • Update the apt-get package by typing in the following command and enter password when prompted:

  $ sudo apt-get update  

  • Next, install Python 3.6 by entering the following command:

  $ sudo apt-get install Python3.6  

  • For running Python 3.6, use the command:

  $ Python3

reviews on our popular courses

Review image

The trainer was really helpful and completed the syllabus on time and also provided live examples which helped me to remember the concepts. Now, I am in the process of completing the certification. Overall good experience.

Vito Dapice

Data Quality Manager
Attended PMP® Certification workshop in May 2018
Review image

I liked the way KnowledgeHut course got structured. My trainer took really interesting sessions which helped me to understand the concepts clearly. I would like to thank my trainer for his guidance.

Barton Fonseka

Information Security Analyst.
Attended PMP® Certification workshop in May 2018
Review image

I was impressed with the trainer, explained advanced concepts deeply with better examples. Everything was well organized. I would like to refer to some of their courses to my peers as well. The customer support was very interactive.

Estelle Dowling

Computer Network Architect.
Attended Agile and Scrum workshop in May 2018
Review image

The workshop held at KnowledgeHut last week was very interesting. I have never come across such workshops in my career. The course materials were designed very well with all the instructions. Thanks to KnowledgeHut, looking forward to more such workshops.

Alexandr Waldroop

Data Architect.
Attended Certified ScrumMaster®(CSM) workshop in May 2018
Review image

The course materials were designed very well with all the instructions. The training session gave me a lot of exposure and various opportunities and helped me in growing my career.

Kayne Stewart slavsky

Project Manager
Attended PMP® Certification workshop in May 2018
Review image

I am really happy with the trainer because the training session went beyond expectation. Trainer has got in-depth knowledge and excellent communication skills. This training actually made me prepared for my future projects.

Rafaello Heiland

Prinicipal Consultant
Attended Agile and Scrum workshop in May 2018
Review image

The course material was designed very well. It was one of the best workshops I have ever seen in my career. Knowledgehut is a great place to learn and earn new skills. The certificate which I have received after my course helped me get a great job offer. Totally, the training session was worth investing.

Hillie Takata

Senior Systems Software Enginee
Attended Agile and Scrum workshop in May 2018
Review image

I was totally surprised by the teaching methods followed by Knowledgehut. The trainer gave us tips and tricks throughout the training session. Training session changed my way of life.

Matteo Vanderlaan

System Architect
Attended Certified ScrumMaster®(CSM) workshop in May 2018

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 Singapore

The national personification of Singapore is the Merlion and just like its mascot, the country too embodies diverse characteristics?that of a business leader, futuristic city with sci-fi architecture, mouth-watering delicacies, wide open spaces and an enviable waterfront. From being a fishing village to dominating Asia?s markets, Singapore has come a long way. The skyline today is dominated by skyscrapers that house some of the world?s most renowned companies including CISCO, OCBC, GE, Dell, Microsoft and top companies in the shipping, finance, oil-refining, and engineering sectors. Among its distinctions include being one of the world?s busiest port, top oil-refining centre, the largest oil-rig producer, ship repair services, and according to the World Bank one of the easiest places to do business. And if you think Singapore is all about work then you should know that it is also the world's second largest casino gambling market. Professionals who wish to thrive in their career would find that they can do well here, with certifications such as PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, Scrum & Agile, MS courses and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.