Python Certification Training in Kuala Lumpur, Malaysia

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
HRDF Claimable

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.

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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 one of the most commonly used programming languages. It is a high level, interpreted, object oriented language that contains dynamic semantics. Python offers syntax that is easy to learn and understand. It emphasizes readability and easy inference, thereby also reducing the cost of the maintenance of the program. The extensive standard library, as well as the Python interpreter, are also some of the reasons why Python is highly preferred by developers across applications.

Python was first conceptualised in the late 1980s by Guido van Rossum, who was a member of the National Research Institute of Mathematics and Computer Science. It was initially designed as a response to the ABC programming language. While working as an implementer of the ABC programming language at the CWI (Centrum voor Wiskunde en Informatica), Van Rossum started working on the development of a scripting language that had a syntax resembling the ABC language. He later named it Python.

Van Rossum named the language, Python as he was a huge fan of the show ‘Monty Python’s Flying Circus’, a BBC comedy show that was a big hit in the 1970s. 

Python has become the preferred programming language for both beginners as well as experts due to the following reasons:  

  • Community: Python has a big open-source community which means that there are thousands of projects already present online which you can integrate with your own project. 
  • Corporate sponsor: Google backs up Python the way Microsoft does C++. It also, therefore, regularly updates Python tutorials and guides for newbies.
  • Academics: Python is heavily used for research purposes in fields like Data science and Machine learning. 
  • Efficiency: Python is highly versatile and efficient. You can develop a Python program and deploy it to any environment with little to no performance loss. 

Below are some of the top reasons to learn Python:  

  • Python is easy to learn because of its clear syntax and readability, which also reduces the cost of program maintenance.
  • Python can be used extensively for general purpose tasks and has been employed into many software in different fields ranging from web development to cloud computing and research fields.
  • Due to its big global community, the packages available are numerous and stable as well with updates being provided on a regular basis.
  • Python is fast to write and works great to build complex multi-protocol network applications.

There are various training centres in Kuala Lumpur offering Python courses. You can also join bootcamps to learn Python programming fundamentals. Below are the steps defined for beginners if you want to get started with Python:  

  1. Understand the need of Python: First of all, it is important to understand why you are going to use or learn Python in the first place. This step will help create motivation for the learning process.
  2. Install Python: After deciding which version of Python you will be needing, install it either from the official website or Anaconda package manager.
  3. Use IDE: As a beginner, it is important to understand your errors and learn from them. An IDE is used to write code, test for errors and translate a program. 
  4. Learn the basics: You can use online videos, courses or even blogs to get you started with the technical aspects of Python such as variables, functions, lists, tuples etc. 
  5. Implementation: No learning is complete without implementing and learning from it. So, make sure to get some experience in hands-on projects. They'll challenge you enough to help you become a better programmer. 

If you are looking to use Python for your project and have no experience in it, below is a list of topics which can help you learn Python fast:  

  • Help in Python: If you want to know how an object works then use help() function. 
  • Indentation: Instead of curly braces, Python uses indentation to define the scope of a code block. 
  • Data types: Lists, dictionaries, and tuples are the data structures provided by Python. Variables can point to functions as well. 
  • Flow control statements: Python has the usual flow control statements such as - if, for, while, and range(<number>).
  • Functions and classes: For function, Python has def keyword and for classes, it has class. 
  • Exceptions: Python has exception handling feature handles by try-except. 
  • I/O: Python has wide range built-in libraries to handle file handling.
  • Importing libraries: A Python program may include several external libraries which can be imported into the main program by using:

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

Python Certification in Kuala Lumpur, Malaysia

No, it is easy to learn. It has a vast inbuilt Python library and built in functions that make the development of a program more efficient and easier as well as less complex. 

Python is one of the easiest languages to learn for beginners. Below are some of the top reasons that make it easy for beginners to learn Python:  

  • It is an efficient programming language with data structures that offer a simple and effective approach to coding.
  • It is based on the object-oriented programming approach that once understood, will also help a beginner build a base for other programming languages as well.
  • It has an elegant syntax that is almost like the English language, which enhances readability and reduces the cost of code maintenance.
  • Python has a gradual learning curve, as opposed to other programming languages where the learning curve can be quite steep.
  • It has wealth and abundance of documentation, making it easier for a beginner to get help if he/she is stuck somewhere while coding.

If you are a programmer already, then you should not take more than 1 month to learn this language as you are familiar with its basics. If you are a newbie, then it would take around 3 months. Below are some important topics to cover:   

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

Ranging from courses to books, here is a list of some of the best ways to learn Python language in 2019 if you are a programmer:

  • Complete Python Bootcamp: Go from zero to hero in Python 3: The course, with a duration of 24 hours approximately, teaches how to create something as simple as classes to as complex as decorators. You’re in for some hands-on experience as it teaches you how to create games using Python.
  • KnowledgeHut: Learn all the important skills Python programmers need. Knowledge of basic programming concepts is recommended for this course. It is suitable for beginners, intermediate learners as well as Python experts
  • Google's Python Class: This particular course uses lectures, coding exercises, and written materials as well for teaching basics as well as more advanced libraries of Python such as HTTP, IO etc.
  • Full Stack Python: Best Python videos: This site hosts a collection of video resources ranging from basics to advanced level of tutorials. It is recommended for both beginners as well as experts to visit and learn from the resources offered by this site.

Programmers in Kuala Lumpur can expect a handsome pay if they are well-versed with Python. Although the salary of a Python developer depends on various factors, the average salary in Kuala Lumpur is around RM 4,379 per month.   This is basically due to 2 points: After 2015, the popularity of the language has skyrocketed and it has overtaken PHP. Secondly, due to its general-purpose usability, its demand has exploded and supply has been slow to keep up.

How to Learn Python in Kuala Lumpur, Malaysia

Follow these steps to learn Python:  

  • Figure out what motivates you

    We recommend choosing an area wherein you wish to apply your Python knowledge. Some of these areas where you can apply your knowledge of Python include the following:  

    • GamesData Science 
    • Development of scripts in order to automate work
    • Hardware/ Robots/ Sensor development
  • Learn the basic syntax

    Spending only a minimal amount of time on this step will do the trick as once you understand the basic Python syntax, you can start implementing your learning in your preferred field.     

  • Develop Structured projects

    The best way to learn a language is to apply it in a project. It will also help you build a portfolio to show to potential employers.

Below are some of the best ways to learn Python Version 2:  

  • Python 2 Course: This is a self-study course which encourages students to explore the tutorial by themselves and learn by implementing. Although this tutorial is best suited for beginners, intermediate level learners and experts can also check out this course.
  • Python 2.7 Tutorial: This course’s tutorials are based on mybringback youtube channel’s Python content. Aimed at absolute beginners, this course also provides learning material along with the tutorial videos. 
  • Learn Python 2: This is a 22-part course which teaches Python 2 from scratch. Some of the highlights of this course are:
    • Beginner friendly
    • Dictionaries and lists are taught
    • Introduces Regular expression and Python 2 utilities
    • Teaches sorting as well as File I/O

Python is easy to learn and is used in many different areas, such as machine learning and data science. Below are some other reasons to learn Python over other programming languages:

  • Most of the platforms of automation, big data and data mining rely on Python as it can be used for general purpose tasks
  • Due to its high readability and ease of learning, Python is highly recommended for both research as well as for someone new to the programming world.
  • Due to its huge global community, it has numerous packages and from time to time its stable updates are released.
  • Frameworks like Ruby on Rails that help in smoothing the complete development process are powered by Python.

Here are some of the best resources to learn Python:  

  • Learn Python 2 - Codecademy: This course covers both, Python programming language as well as the fundamentals of programming language.  
  • Real Python: This course covers web programming using Python language along with the basics of the language.  
  • Learn Python, it's cake - Udemy: If you are a beginner without the knowledge of coding and want to jumpstart your Python career, then this is the best free course offered. 

If you want to learn Python and have no experience in it, below is a list of steps you can follow:  

  1. Python is a huge field and if you dive in without any aim you will lose interest along the way. Therefore, you need to find out what motivates you. 
  2. Start learning the basics. It is easy to read and understand the syntax of Python. 
  3. After you have learned the theory, it's time to implement. For starters, try making your own project. 
  4. Contribute to the open-source projects to understand the intricacies of coding. 

The following steps will help you get started with Python for data science:  

  • Step 1: Setting up Python on your system and downloading Anaconda as well.  
  • Step 2: Start learning about Python as a programming language, how to use multiple libraries into one program to get the desired output.  
  • Step 3: Data cleaning is an important step in data science projects which prepares and corrects the input data.  
  • Step 4: Get familiar with popular data science libraries such as NumPy, SciPy, scikit-learn, matplotlib etc. Create projects with the help of these libraries to understand more.
  • Step 5: An important part of the job for a data scientist is to visualize the data given. Play around with this library and try to visualize as much datasets as possible. 
  • Step 6: The most important step in data science is by using your Machine learning knowledge. scikit-learn is the most useful library provided by Python for the same. 
  • Step 7: Practice and practice. You need to practice your skills in order to become a data scientist. 

Python Developer Salary in Kuala Lumpur, Malaysia

In Malaysia, Python developers are quite in demand. There are many firms in the country like Karisma System Sdn Bhd, IT KONTRAKT Services, Jora Jobs, Alliance Bank Malaysia Berhad, Fusionex, Libersys Pte Ltd, EPS Malaysia, SEEK Global Development, etc. that are working on systems based on Python and thus require Python developers. Also, due to its simplicity and readability, Python has diversified application in software companies. Currently, there are 473 open jobs for Python developer in Kuala Lumpur.

If you are a Python developer, you will be able to enjoy the following benefits:

  • High Income
  • Career growth
  • Job opportunities
  • Great quality of life

Python developers enjoy certain perks and advantages other than salary in Kuala Lumpur:

  • Chance to work with upper management
  • Option to choose one from a wide range of fields

Python Conferences in Kuala Lumpur, Malaysia

S.NO.CONFERENCE NAMEDATEVENUE
1.PyCON Malaysia

August 24, 2019- August 25, 2019

iSpace, Level 9-1, Plaza VADS,  Jalan Tun Mohd Fuad, Taman Tun Dr Ismail, Kuala Lumpur, Malaysia
2.IoT Training in Kuala Lumpur 
August 8, 2019TruVs Kuala Lumpur Malaysia

1. PyCON Malaysia

  • About the PyCON: Python Conferences, or PyCon, are conferences about Python usually done by grassroots volunteers in different cities.
  • Event Date: August 24, 2019- August 25, 2019
  • Venue: iSpace, Level 9-1, Plaza VADS,  Jalan Tun Mohd Fuad, Taman Tun Dr Ismail, Kuala Lumpur, Malaysia
  • Days of Program: 2 Days
  • Timings:  9:00 AM- 5:00 PM MYT on both days
  • Purpose: It enables coders to share their stories and ideas in the form of presentations.
  • How many speakers: Will be selected.
  • With whom can you Network in this conference: You can interact with both experts and beginners to explore Python as a programming language and learn new things.
  • Registration cost: Standard- RM220, Student(with proof)- RM135

2. IoT Training in Kuala Lumpur

  • 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, Kuala Lumpur, Malaysia
  • Days of Program: 1 Day
  • Timings: 10:00 AM- 12:00 PM 
  • 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.
  • How many speakers: NA
  • 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
S.NO.CONFERENCE NAMEDATE
VENUE
1.PyCON APAC 2017
August 26, 2017

No 7 Jalan Kerinchi Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur 59200

2.PyCON 2018
August 25, 2018-August 26, 2018

Faculty of Computer Science and Information Technology University of Malaya, 50603 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

1. PyCON APAC 2017

  • About the PyCON: Python Conferences, or PyCon, are conferences about Python usually done by grassroots volunteers in different cities.
  • Event Date: August 26, 2017
  • Venue: No 7 Jalan Kerinchi, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur 59200
  • Days of Program: 1 Day
  • Timings:  9:00 AM- 5:00 PM MYT 
  • Purpose: It enabled coders to share their stories and ideas in the form of presentations about Python.
  • How many speakers:
  • Registration cost: MYR360

2. PyCON  2018

Python Developer Jobs in Kuala Lumpur, Malaysia

Kuala Lumpur is home to several companies that are working on data science and machine learning projects. For this, they need Python developers. So, needless to say, the scope of a Python developer in Kuala Lumpur is very high.

JobStreet Premium Talent Search, EPS Malaysia, Syntronic Malaysia Sdn Bhd, Aureas Media Sdn Bhd, Standard Chartered Bank, Capita Global Sdn Bhd – IT TELCO, etc. are some of the companies hiring Python Developers in Kuala Lumpur. The following companies are looking for Python developers in Kuala Lumpur:

  • Karisma System Sdn Bhd
  • IT KONTRAKT Services
  • Jora Jobs
  • Alliance Bank Malaysia Berhad
  • Fusionex

Here are some professional groups in Kuala Lumpur where you can network with fellow Python developers:

As a Python developer in Kuala Lumpur, you will be responsible for 

  • Writing reusable, testable, and efficient code
  • Integration of data storage solutions
  • Execution of security and data protection

Learn Python Programming in Kuala Lumpur, Malaysia

Listed below are some of the reasons why you should learn Python Programming:  

  • Popularity and better pay: There are around 875 Tech startups in Kuala Lumpur and most of these companies prefer Python language to develop software solutions. So, Python developers are in high demand in Kuala Lumpur. The average salary for a Software Developer in Malaysia is RM 59,409.  
  • Extensible and portable: These two properties of the Python programming language allows a developer to seamlessly perform cross languages operations. Python is also supported by some of the leading platforms in the industry like Linux and PlayStation. 
  • Simple and Easy to learn: Python is a programming language that is very simple and easy to learn. The following are the contributors to the simplicity of Python: Interpreted; high level; large and active community of developers; free and open source. 
  • Web Development: Python provides developers with a variety of frameworks in order to enable the development of websites.  
  • Testing Framework: Testing is usually a tedious task but is made easier with the use of Python. It consists of a number of testing networks that are built in, including frameworks to test fastest workflows as well as debugging.  
  • Computer Graphics: Python is used in a variety of online as well as offline projects. The ‘Tkinter’ library in Python provides developers with an easy and fast method to create applications. 
  • Scripting and Automation: During Scripting, the code is written in the form of scripts, which are executable. The machine reads and interprets these scripts. 

You can create a program in Python in just 4 easy steps:  

  • Step 1: Make sure Python is installed. You can check the same by using the following command which will show the version of Python you have installed on your computer.

Python --version  

  • Step 2: Open a text editor and write the following code in it:

print “Hello world!”  

  • Step 3: Save the file as <filename>.py, you can save the file as hello.py. The .py extension tells the Python interpreter that this is a Python file and to treat it as such. 
  • Step 4: Open your command prompt or terminal, navigate to the directory holding your .py file and run the following command.

hello.py Output: Hello world!

A Python program can be run in two ways:  

1. Running a Python program in a Python shell

  • Fire up your IDLE (Python GUI) file
  • Simply type in your Python script and press enter
  • Your program will start running

2. Running a Python program stored in a file

  • Write your script in an independent file 
  • Save the file with a ‘.py’ extension, thus indicating to the system that the file is a Python program.
  • Initialise the terminal on your system.
  • Navigate to the directory where you have stored your file with the .py extension by typing the following command in the terminal:
    • Cd directoryName.
    • Now press enter
  • Type the command
    • Chmod a+x filename.py in order to inform your system that the said file is an executable program.
  • Type ./filename.py and the program will run.

There are basically two ways to run Python on any OS:  

  • Run commands on Python REPL (interpreter)
  • Run a Python program file which contains the commands

  For both of these, Python should be installed on your operating system. You can check that by typing the following command which will tell you the Python version currently installed: Python --version

An easy way to run Python on Mac OS X is to run it through the IDLE integrated development environment that comes along with the installation of Python on the system.  

  • In order to run Python scripts from the Finder or the Terminal window command line, you will first require a document editor in order to create a script.  
  • Several standard Unix command line editors are already pre installed into the Mac OS X. Some of these include emacs and vim. 
  • Make sure that /usr/local/bin is in the shell search path, if you wish to run the Python script from the Terminal window. 
  • In case you wish to run the Python script from the Finder, the following two options are available:
    • Drag it to the PythonLauncher
    • Choose PythonLauncher as the default application in order to open a script through the Finder.
  • In case you wish to run your Python script with a GUI, make use of Pythonw instead of Python in order to initialize these scripts.

 

Python Applications

Some of the applications where Python is used extensively are:  

  1. Web application development: Since, it is adapted to both fast prototyping and bigger projects, Python is widely used in web application development.
  2. Academics: Fields like Data science and Machine learning are essentially powered by Python. It is extensively used for research purposes and in academic projects as well.  
  3. GUI-based applications: Python provides Tkinter library which is a GUI library along with numerous others that help create desktop applications with smooth interfaces. 
  4. Business and enterprise applications: Python is used to build ERP and e-commerce applications as well. Odoo and Tryton are two of the most popular libraries for such purposes.

Python Setup

Once you develop a Python script, it can be run on all the platforms that are supported by Python. There are various ways to install Python on your system, depending upon the Operating System that you are using. In case you already have Python installed on your system, then you are ready to start developing and running Python scripts of your own.

In order to install Python, we will make use of the Anaconda Python package, which is to be installed in your system in the following ways:  

  • Visit the Anaconda home page:
  • Click on the Anaconda tab from the menu and then click the Download tab in order to proceed to the Download page. 
  • Once you land on the download page, choose the download that is suitable for your operating system viz. Linux, OSX or Windows.
    • Choose the Python 3.6 option 
    • Proceed to choosing the Graphical Installer

The above steps will lead to the initiation of the installation of the Anaconda Package.

  • Install Anaconda
    • Now that the Anaconda Package is downloaded on your system, you can proceed to install Anaconda. 
    • Before you proceed, please make sure that you have sufficient administrative privileges required in order to install software. 
    • Click on the downloaded Anaconda file.
    • This will open up the Anaconda installation wizard, which will allow you a quick and painless installation of the Anaconda package.
  • Initialize and update Anaconda
    • Once the Anaconda Python package is installed in your system, you can check whether the Anaconda Python environment installed in your system is up to date. 
    • The Anaconda Python package includes a full suite of Graphical Tools,  which are termed Anaconda Navigator.  
    • From the Application Launcher window, choose the Conda option. Conda is chosen for this purpose as it simple and fast. 
    • Open a command line window and confirm that conda is installed in your environment correctly by typing the following command:
      • Conda -V
    • Next, confirm if Python is correctly installed by using the following command:
      • Python -V
    • If the system does not throw up an error, it means that Conda was installed successfully. 
    • Confirm that the Conda version is up to data by typing the following command in the command line:
      • Conda update conda
      • Conda update anaconda

Running Python on Mac OS X is very similar to running it on any other Unix platform. Mac OS X comes pre-installed with Python version 2.7.  

  • In case you wish to install a newer version of Python, simply visit the Python Website (https://www.Python.org) and download the latest version. 
  • On the installation of Python on Mac OS X, you get the following:
    • A framework, viz. /Library/Frameworks/Python.framework, that includes the Python libraries and executable.  
    • A MacPython 2.7 folder that is made in your Applications folder. Inside this folder, you will find the IDLE.
      • The PythonLauncher, which handles the double clicking Python scripts from the Finder, is also included in this.
      • The Build Applet tool is also included. This tool allows the developer to package the Python scripts as standalone applications in the system.
  • The build of Python that is provided by Apple is installed in the /usr/bin/Python  and /System/Library/Frameworks/Python.framework. 

Follow the below steps to download and install Python on Ubuntu:  

  • Open the terminal and update the apt-get package using the following command:

  $ sudo apt-get update  

  • Enter the following command to install Python 3.6 and enter the password when prompted:

  $ sudo apt-get install Python3.6  

  • Run Python 3.6 by using the following command:

  $ 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

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Python Programming Course in Kuala Lumpur

The Petronas towers are probably the most iconic buildings of Kuala Lumpur and very much reflect the ideology of the city?to reach for the skies. Ever since its metamorphosis into the financial capital of Malaysia, Kuala Lumpur has been on the road to progress and is today among the best places to do business in. But amidst all this industrialization lies a city with a rich cultural heritage reflected in its colourfully adorned mosques, temples and ancient architecture. Food is of course an important part of Malay culture and can be experienced everywhere from road side eateries to glitzy restaurants that crowd malls and other hip shopping places. A perfect blend of modern and tradition, Kuala Lumpur is an ideal place to begin a career and KnowledgeHut will help you along the way with courses such as PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, Scrum & Agile, MS courses, Big Data Analysis, Apache Hadoop, SAFe Practitioner, Agile User Stories, CASQ, CMMI-DEV, and many more. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.