Python Certification Training in Jakarta, Indonesia

Learn Python Programming Language from Basics to Advanced

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

Python Training Course Description

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

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

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

Do you know what exactly is Python?

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

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

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

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

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

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

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters

1

Python - Introduction

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

2

Python - Getting Started

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

3

Python - Basic Syntax

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

4

Python - Variables

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

5

Python - Numbers

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

6

Python - Strings

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

7

Python - List and Tuple

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

8

Python - Dictionary

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

9

Python - Sets

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

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

10

Python - Operators

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

11

Python - Conditional Statements

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

12

Python - Loops

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

13

Python – Built-in Modules

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

14

Python - User Defined Functions

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

15

Python – Functional Programming

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

16

Python - Custom Modules

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

17

Python - Packages

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

18

Python - Exceptions

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

19

Python - FileIO

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

20

Python - CSV

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

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

21

Python – Database Connectivity

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

Here, MySQL connectivity is explained by installing PyMySql module.

22

Python – Tkinter

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

23

Python - OOP

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

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

24

Python - Decorator

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

25

Python - Inheritance

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

26

Python - Magic Methods

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

27

Python - Regex

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

28

Python - CGI

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

29

Python – Send Mail

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

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

30

Python - Object serialization

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

31

Python - Multithreading

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

32

Python - XML

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

33

Python – Socket Module

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

34

Python - Dataclasses

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

Why Python Certification Course?

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

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

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

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

What you will learn in this Python Certification Course

Python Course Prerequisites

We recommend:

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

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

Who should Attend this Python Training Course

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

KnowledgeHut Experience

Instructor-led Live Classroom

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

Curriculum Designed by Experts

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

Hands-on coding

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

Expert Mentorship

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

Advance from the Basics

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

Code Reviews by Professionals

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

Meet your instructors

Become an Instructor
Sukesh

Sukesh Marla

Founder

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

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Projects in this Python Certification Course

Jumbled Word

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

Read More

Dice Rolling Simulator

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

Read More

Tic-Tac-Toe

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

Read More

Calculator

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

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

Python Certification Course Curriculum

Learning Objective:

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

Topic Covered:

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

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

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

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

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

Topic Covered:

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

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

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

Hands-on: 

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

Learning Objective:

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

Topic Covered:

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

Hands-on:

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

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

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

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

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

Topic Covered:

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

Hands-on:

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

Learning Objective: 

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

Topic Covered:

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

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

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

Python Certification Process

What is Python

Python is a programming language that is interpreted, high-level and object-oriented. It is considered a very useful language due to its dynamic semantics that is used for rapid application development. This is done through typing and dynamic building along with the data structures offered by Python. Apart from this, the syntax of the language is also easy to understand. This improves inference and readability while also reducing the maintenance cost of the program. Also, as the compilation step is removed in Python programs, productivity is increased. The main reason why it is so popular among the developers is the Python interpreter and the extensive standard library offered by the programming language.

Guido Van Rossum first conceptualized Python programming language in the late 1980s. A member of the National Research Institute of Mathematics and Computer Science, he designed Python as a response to the ABC programming language. 

He was working at the CWI (Centrum voor Wiskunde en Informatica) as the ABC programming language's implementer when he started working on creating a scripting language whose syntax was similar to ABC. This language would also have access to a distribution system named AMOEBA system cells. He overcame the flaws of ABC and introduced the first version of Python in 1991 as Modula 3.

Guido Van Rossum, the creator of Python, developed the language while working at the Centrum voor Wiskunde en Informatica (CWI). He was a huge fan of ‘Monty Python’s Flying Circus’, a comedy show in the 1970s. He was looking for a name for his pet project that was short, unique, and mysterious. And so, he named the language Python.

There is no doubt that Python is becoming the most popular programming language for beginners as well as expert developers. There are several companies based in Jakarta, Indonesia that are hiring Python developers like Five Jack, HACKTIV8, Cardno, Ninja Van, Kata.ai, Jurnal Consulting, XLink Software, ADSKOM, PT. Photon Interactive Indonesia, Wisanamitra Argakaraya, etc. Here are the top 5 reasons for the popularity of Python:

  • Community: Python is supported by a big, open-source community. This consists of millions of developers working on thousands of projects that are present online. You can simply pick any of them and use it in your project.
  • Corporate sponsor: Python is backed by Google, which uses it extensively in its projects. There are several Python guides and tutorials that are regularly updated by Google to help beginners start their programming career in Python.
  • Academics: Python and its extensive libraries are used in major fields like Machine Learning, Data Science, etc. It is used in research purposes due to its general purpose tasks usability.
  • Efficiency: Python is considered an efficient and versatile language. No matter the environment you are deploying the Python program in, there will be little to no loss of performance. To maximize the output and minimize the length of code, it uses Regular Expressions.
  • Learning: The most important feature of Python that makes it so popular is its easy syntax. Python is easy to learn and understand. Languages like C#, Java, etc. are difficult to learn. Python, on the other hand, has a short learning curve. Any person with no experience in computer programming can learn Python easily and start coding.

Python is a very popular programming language that is used in thousands of projects. So, if you want to start a career as a developer, Python is a perfect choice. There are several institutions in Jakarta that offer courses in Python. You can also try enrolling yourself in a Python boot camps. This will help you get a thorough understanding of the language along with the hands-on experience. Here are some other reasons why you should learn Python:

  • Ease of learning: Compared to other programming languages, Python is considered an easy language. Due to its high readability, you don't have to be an expert to understand the syntax of Python.
  • General-purpose: Python has been used in the software for different fields like cloud computing, web development, data science, and machine learning. This is because it can be efficiently used for general purpose tasks.
  • Big community: Python is supported by its big, open-source community. Thanks to them, there are numerous stable packages available that are regularly updated. 
  • Flexibility: Python offers flexibility as it offers several implementations from other languages. For example, you can use Python for tasks that you think are better suited for Java.
  • Business use: Due to its data analysis skills, non-technical professionals are starting to see the importance and benefits of using Python.

If you want to get started with Python, here are the 5 steps that you need to follow:

  1. Understand why Python: The first step is to know why you want to learn Python. This will help you stay motivated throughout the learning process.
  2. Install Python: Next, you need to install the Python from either the official website or the Anaconda package manager.
  3. Use IDE: No matter if you are a beginner or an expert; you will need help in finding your errors and understanding them. This is where IDE comes into play. It debugs your code and helps you find an error.
  4. Learn basics: Start with the basic concepts. You can try courses, online videos, blogs, etc. that will help you understand Python’s technical aspects like functions, variables, tuples, lists, etc.
  5. Implementation: The last and most important step is implementation. You will never be able to learn Python if you don't implement it. You can try taking assignments from online courses or making your own projects.

If you want to learn Python quickly, below are some of the best topics to start with:

  • Help in Python: The help() function can be used when you need to know about an object.
  • Indentation: When it comes to defining the scope of a code block, instead of curly braces, the language uses indentation.
  • Data types: You need to learn about the data structures provided by Python including lists, dictionaries, tuples, etc. It is important to remember that variables can point to functions as well.
  • Flow control statements: The flow control statements are similar to other programming languages like if, for, while, and range(<number>).
  • Functions and classes: The keyword used for function in Python is def and for class, it is class.
  • Exceptions: try-except is as an exception handling feature in Python.
  • I/O: For file handling, Python offers several built-in libraries.
  • Importing libraries: In a Python program, external libraries can be imported into the main program. The following code is used:

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

Python Certification in Jakarta, Indonesia

No, Python programming language is easy to learn. There are several built-in functions and several libraries that make creating a program easier, efficient, and less complex. Also, the syntax of Python is like writing in English that is easy for the developer to learn and understand.

Python programming language is considered to be one of the easiest languages for beginners to learn. Here are 7 reasons explaining why:

  • The data structures offered by Python provide a simple yet effective coding approach making it an efficient programming language.
  • Since it is an object-oriented programming language, it helps in preparing for other programming languages as well.
  • The vast in-built library of Python helps increase efficiency, decrease the program's complexity and saves time.
  • Python syntax is clear, intuitive and almost similar to English.
  • As opposed to other programming languages with a steep learning curve, Python has a short learning curve.
  • There is so much documentation available for Python. So, you don’t need to worry about getting stuck.
  • Python is supported by a big community of developers that can help you whenever you are facing an issue.

If you are already a programmer, it will take you about a month to learn and understand the concepts of Python. However, if you are a complete newbie, it will take you about 3 months provided you spend about 4/hr a day on Python.

If you are just starting to learn Python, make sure that you cover the following topics:

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

In Jakarta, there are several institutions offering Python courses for beginners and experts. You can also join boot camps to have a complete understanding of Python programming language. If you want to learn the Python programming language, you can try one of the following ways:

  • Complete Python Bootcamp: Go from zero to hero in Python 3: Offered by Udemy, this course is designed for beginners. During the course of 24 hours, you will learn to create complex, decorators, etc. 
  • KnowledgeHut: Learn A-Z everything about Python with this 24-hour long certification program from KnowledgeHut. It also includes real-world projects and case studies to help you get extensive hands-on experience. 
  • The Python Bible™ | Everything You Need to Program in Python: This is a project-based course that will turn you from a beginner to a professional in just 9 hours. During the course, topics like variables, data structures, and loops will be covered. Also, you will have to create 11 projects that will strengthen your programming skills.
  • Google's Python Class: This course was created by Google after seeing the popularity of Python. It aims to use lectures, written materials, and coding exercises to help inexperienced programmers jumpstart their career. During the course, advanced libraries like HTTP, IO, etc. will be covered as well.
  • Full Stack Python: Best Python videos: This website contains several videos that cover the basic and advanced topics of Python programming language. This course is recommended for beginners and experts.

Python is a popular programming language that is used in several projects. Needless to say, this has led to an increase in demand for Python developers. And with increased demand comes increased salary. A Python developer can earn an average of about 15,755,813 IDR per year in Jakarta.

http://www.salaryexplorer.com/salary-survey.php?loc=1136&loctype=3&job=3&jobtype=2 

How to Learn Python in Jakarta, Indonesia

The best way to learn Python includes the following steps:

  • Figure out what motivates you

Before you start learning Python, you need to find out what motivates you to learn Python. This will help you continue your learning journey. You need to set a goal for yourself. Do not abandon midway just because it is getting difficult. Keep an eye on the final destination. It is important that you select the area in which you want to implement your Python knowledge. Here are some examples where you can apply your programming skills:

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

Once you have figured out the area where you want to implement your Python skills, you can start learning the syntax of the same. This is perhaps the most important step in your learning journey. Python has an easy syntax. So, it will not take much time to understand the basics of the language. In no time, you will be able to create basic programs. 

  • Develop Structured projects

Once you have familiarized yourself with the syntax of Python, you can start creating projects. It is one of the most effective and efficient ways of learning Python. Until you apply your knowledge, you won't be able to retain it. And developing a project will help you do the same. Projects will give you an idea of how far you are in your journey. You will be able to implement what you have learned. This will help you create a portfolio that will help you get a job.

There have been several releases of Python after Python version 2. However, if your project or application still uses Python 2, you can try one of the following methods to learn it:

  • Python 2 Course: This self-study course will help the students explore the tutorial all by themselves and then implement what they have learned. Best suited for beginners, this course can also be used by intermediate level learners and experts. There is also an option available to download the complete website and print it.
  • Python 2.7 Tutorial: Based on the Python content of the YouTube channel, mybringback, this course is meant for absolute newbies. Along with the tutorial videos, you will be provided with learning material. This is a concise offer that is available for free.
  • Learn Python 2: This is a detailed 22-part course that will help you learn the language from scratch. There are no prerequisites for this course. Made from mixing and refining two courses – Google’s Python class and Django girl's Python tutorial, this is a free course that can be completed in 3-4 weeks. During the course, you will be learning about sorting, File I/O, Python 2 utilities, lists, dictionaries, and Regular expression.

Here are a few benefits offered by the language that makes it the most popular programming language in the world:

  • Most platforms of data mining, big data, and automation use Python due to its capability of performing general purpose tasks.
  • Python is recommended for research purpose as well as for someone just getting started in the programming world. This is due to its ease of learning and high readability.
  • Thanks to its huge, global community, there are several packages available that are updated regularly. This keeps the language on top of the trending list.
  • Python powers several frameworks like Django, Ruby on Rails, etc. that soothes the development process.
  • As compared to other programming languages like C# or Java, Python coders are more organized that leads to a productive coding environment.

Here are the 4 best resources to learn Python:

  • Learn Python 2 - Codecademy: This course from Codecademy will cover the fundamentals of a programming language and the Python programming language. The whole course takes 25 hours to complete and has no prerequisites.
  • Real Python: This course will help you learn how to implement Python language in web programming. You will begin by learning the basics of Python and then move on to web development frameworks like web2py, Flask, and Django.
  • Learn Python, it's cake - Udemy: If you are a complete newbie in programming and would like to jumpstart your programming career in Python, then this is the best free course available. It will take you about 7 hours to complete the course.
  • Python for entrepreneurs: If you have a startup or your own business and want to incorporate Python in it, you should take up this course. Costing about $89 USD, this course will take 19.3 hours for completion.

If you have no experience in coding and want to start learning the Python programming language, here are the 5 steps that you need to follow:

  • Find motivation: Python is a vast field and without aim, you will soon lose interest. What you need to do is to find out why you want to learn Python. This will help you stay motivated during the learning journey. You should find out what your area of interest is and how Python can be implemented into it. Here are a few areas which rely heavily on Python:
    • Data science
    • Web development
    • Machine learning
    • Game programming
  • Learning basics: Next, you need to start covering up your basics. This includes familiarizing yourself with the basics of language. Python has a very easy syntax. So, you will be able to learn it in a short span of time. Here are a few courses that can help you understand the basics of Python:
  • Implementation: Once you are done with the theory, you can move on to implementation. You will be able to master Python only after you have hands-on experience in it. You can start by creating your own project. 
  • Social coding: Look for online, open-source projects that may be available commercially or officially. You can find several such projects on Github. Social coding will help you build a network that will aid you in your career.
  • Competitions: There are several online and offline competitions organized like hackathon that are a great learning source. During the competition, you will have to solve a problem that has certain restraints. This will push you to think an out-of-the-box solution for a given problem.

If you want to be a data scientist, knowledge of Python is a must. It is the most preferred language used by data scientists and is used in several data science projects. Follow the below mentioned steps for learning Python for data science:

  • Step 0: The first step is to set up Python on the system and download Anaconda. This will make sure that you have the right environment with all the tools required for programming.
  • Step 1: Start with the basics of Python programming language. You will learn lists, dictionaries, tuples, importing and exporting of libraries/functions, etc. This also includes using multiple libraries in a single program in order to get the desired output.
  • Step 2: When it comes to Data Science, data cleaning is a very important step. This is because most of the data that is available is in the raw form and needs to be cleaned before it can be processed. This data can be of many forms like text. For this, you need to learn about Regular Expressions offered by Python.
  • Step 3: Learn about data science libraries like matplotlib, NumPy, SciPy, scikit-learn, etc. To get an in-depth knowledge of these libraries, you should create projects.
  • Step 4: Data Visualization is an important part of a data scientist’s job. Matplotlib library is the perfect Python library for this. This can be used for visualization of as many datasets as possible.
  • Step 5: Using your machine learning knowledge is the most important step in data science. There are several libraries offered by Python that will help you set up the ML model ready for data to be injected. If you want to become a data scientist, you will also need your deep learning skills. The most useful library provided by Python for this is scikit-learn.
  • Step 6: The last step is to practice as much as you can. The more you practice your skills, the better the data scientist you will be. Create more projects and participate in online competitions like Kaggle, etc. to improve your skills.

Python Developer Salary in Jakarta, Indonesia

The average salary of a Python developer in Jakarta is 15,755,813 IDR as compared with Melbourne, which is $116,805.

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

The average annual salary of a Python Developer in Jakarta is 15,755,813 IDR compared with Brisbane, which is $104,204.

https://au.indeed.com/salaries/Python-Developer-Salaries,-Brisbane-QLD 

In Indonesia, the demand for Python developers is increasing every day. The proof is the addition of more and more job listings on various portals of companies looking to hire Python developers. Examples of such companies include PT TTI Group Distribution, Pede, Kata.ai, Lintas Group, Biomorf, HACKTIV8, Urbanhire, Inovasi Solusi International, Five Jack, etc.

Here are the benefits of being a Python Developer in Jakarta:

  • Handsome salary
  • Job opportunities
  • Career growth
  • Opportunity to build your network

Python developers are in demand right now. The field has scope for tremendous job growth. Apart from the handsome salary, the job offers several perks and advantages. Python is also used in data science, machine learning, AI, thus increasing the demand.

The companies hiring Python developers in Jakarta are Sorabel, Grab, Synergo, Amdocs, PT Bukalapak.com, Airy Rooms, Traveloka, PT. Indocyber Global Technology, Alterra, Insura, Titansoft Pte Ltd., etc.

Python Conferences in Jakarta, Indonesia

S.NoCONFERENCE NAMEDATEVENUE
1.Python Basic and Beyond

August 5, 2019- August 7, 2019

Balairung Hotel 19 Jalan Matraman Raya Matraman, Daerah Khusus Ibukota Jakarta 13140 Indonesia

2.IoT Training in Jakarta
August 8, 2019

TruVs, Jakarta, Indonesia

3.JAKARTA: Introduction to Deep Learning with NVIDIA GPUs

May 15, 2019- Nov 22, 2019

Inixindo No.5 Jalan Tentara Pelajar Kby. Lama, Daerah Khusus Ibukota Jakarta 12210 Indonesia

1. Python Basic and Beyond

  • About the conference: Basic Python training teaches participants the skills they need to design, build, and test console/GUI based object-oriented applications using various data structures, file IO, exception handling and integrating with database (mySQL).
  • Event Date: August 5-7, 2019
  • Venue: Balairung Hotel, 19 Jalan Matraman Raya, Matraman, Daerah Khusus Ibukota, Jakarta 13140, Indonesia
  • Days of Program: 3 Days
  • Timings: 9:00 AM- 5:00 PM WIB
  • Purpose: To understand and write Python scripts, use data structures, perform I/O operations etc.

2. IoT Training in Jakarta

  • 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, Jakarta, Indonesia
  • Days of Program: 1 Day
  • Timings:  9:00 AM- 12:00 PM WIB
  • Purpose: It aims at providing complete knowledge of IoT technology, learn core concepts, background technologies of IoT and understand how to construct prevalent computing architectures.
  • With whom can you Network in this conference: You can interact with working professionals and software architects, who are enthusiastic in learning IoT.

3. JAKARTA: Introduction to Deep Learning with NVIDIA GPUs

  • About the conference: This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud.
  • Event Date: May 15, 2019- Nov 22, 2019
  • Venue: Inixindo, No.5 Jalan Tentara Pelajar. Kby. Lama, Daerah Khusus Ibukota Jakarta 12210, Indonesia
  • Days of Program: 190 Days
  • Timings:  8:00 AM- 5:00 PM WIB
  • Purpose: At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.
  • How many speakers: NA
S.NO.CONFERENCE NAMEDATE
VENUE
1. PyCON 2018
November 3-4, 2018
Kalbis Institute, Jakarta, Indonesia 
  • 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: November 3-4, 2018
  • Venue:  Kalbis Institute, Jakarta, Indonesia 
  • Days of Program: 2 Days
  • Registration cost: Standard- $400

Python Developer Jobs in Jakarta, Indonesia

According to the survey conducted by StackOverflow, Python is the fastest-growing major programming language and has risen in the ranks, followed by C# and PHP. In Jakarta, there are several organizations, ranging from startups to big corporations. Most of these companies are looking for Python developers to develop software solutions. Needless to say, Python developers are in demand right now and this demand is not going down anytime soon.

Following are the companies where you can work for as a Python developer in Jakarta:

  1. Sorabel
  2. Grab
  3. Synergo (Indonesia)
  4. Amdocs

A Python developer has to develop code for applications required by the organization. They also implement security measures for protecting the data. They are also responsible for writing server side code and logics for computation and data processing.

Learn Python Programming in Jakarta, Indonesia

Here are the main reasons why one should learn Python programming:

  • Popularity and potential for high salaries: Python is used by most of the software companies, bigger enterprises and companies in Jakarta. There are 1602 Tech startups in Jakarta. So, there is huge demand for Python Developers. A Python developer can earn an average of about 15,755,813 IDR per year in Jakarta.
  • Extensible and portable: Python has properties that allow it to perform cross languages operations smoothly. There are several major platforms that support Python including Solaris, PlayStation, Macintosh, and Linux.
  • Simple and Easy to learn: Python has a syntax that is simple and easy to learn. It resembles the English language very much. The reasons behind the simplicity of Python programming language include:
    • Free and open source
    • High level
    • Interpreted 
    • The large and active community of developers
  • Web Development: Python is extensively used for web development. There are several frameworks available in Python that allow website development. Most of these frameworks are built in Python that allows Python code to run easily, master and with more stability.
  • Testing Framework: Established companies often use Python for validation of their products and ideas. There are a number of testing companies available that will allow you faster debugging, improving the workflow process. Python has also made the testing process easy.
  • Computer Graphics: The ‘Tkinter’ library of Python is used for creating applications faster and easier. The ‘pygame’ module of Python is used for developing games.

If you are new to programming and want to create your first program in Python, you need to follow these steps:

  • Step 0: The first step is to make sure if Python is installed or not. Use the following command to check the version of Python installed on the system:

Python --version

  • Step 1: You can use any text editor and type in the following code in it:

print “Hello world!”

  • Step 2: Save the file as <filename>.py. The .py extension is provided so that the Python interpreter knows that it is a Python file.
  • Step 3: The last step is to open a command prompt or terminal, navigate the directory where the file is stored and run the following command:

<filename>.py

Output: Hello world!

To run a Python program, you can try one of the following 2 methods:

  • Using a Python shell
    • Open the IDLE (Python GUI) file
    • Type in the script and hit enter
  • Using a stored file
  • Use an independent file to type in your script.
  • Use the ‘.py’ extension to save the file
  • Fire up the terminal.
  • Navigate to the directory where the file is stored using the following:
    • Cd directoryName.
    • Hit enter
  • Type in the following command
    • Chmod a+x filename.py for informing the system that it is an executable file.
  • Last, type ./filename.py for running your program.

There are two ways of running Python on Windows:

  • Through the Python REPL (interpreter)
  • For this, the Python executable binary must be in the classpath. Once it is done, you can enter the REPL shell by typing Python.
  • Through the file containing the commands
    • Open command prompt
    • Enter the file’s location

For example:

>> C:\Users\y\hello.py   - For Windows

$ /usr/bin/hello.py          - For Linux (Ubuntu)

Here are the 5 steps for running Python scripts on Mac OS X through the IDLE or Integrated Development Environment:

  • The first step is to create a script using a document editor.
  • Standard Unix command line editors like vim and emacs are pre-installed into the Mac OS X. 
  • Before you run the Python script from the Terminal window, you need to make sure that /usr/local/bin is in the shell search path.
  • There are two options available for running the scripts from the Finder:
    • Dragging it to the PythonLauncher
    • Choosing PythonLauncher as the default application for opening a script through the Finder. 
  • You can use Python instead of Python for initialization of scripts for running the script with a GUI.

Python Applications

This general-purpose programming language is used extensively in the following applications:

  1. Web application development: With frameworks like Flask, Bottle, Django, and Pyramid, Python can help create better communication between different protocols and interfaces. 
  2. Academics: Due to its libraries like Pandas, scikit-learn, matplotlib, NumPy, and SciPy, Python is used for academic projects and research purposes. Fields like Machine Learning and Data Science are powered by the Python programming language.
  3. GUI-based applications: Tkinter library of Python can be used to create smooth interfaces in desktop applications.
  4. Business and enterprise applications: Python is used or creating e-commerce and ERP applications. Its libraries like Tryton and Odoo are used for creating and supporting large applications which are extensible, readable, and scalable.

Python is a universal language used by some of the major companies in the world. The top 4 companies powered by Python are:

  1. Grab
  2. Pede
  3. Security Research Labs GmbH
  4. Aero Systems Indonesia

Python Setup

The Python programming language is independent of the platform. Once you have created the script, you can run it on any platform supported by Python. Depending on which Operating System you use, there are different methods for installing Python.

After you have installed Python on the system, you can start to develop and run Python scripts

Before you install Python in your system, you will need the Anaconda Python package, which can be downloaded and installed in Windows by following these steps:

  • Visit the below mentioned link:
  • Select the Anaconda tab and then click the Download tab to get to the Download page.
  • Select the download suitable for your operating system viz. Windows.
    • Select the Python 3.6 option 
    • Next, choose the Graphical Installer
  • This will initiate the installation of the Anaconda Package.
  • Install Anaconda
    • Once the Anaconda Package has been downloaded in the system, the next step is to install Anaconda. Before you move further, ensure that you have administrative privileges.
    • Click on the downloaded Anaconda file.
    • Once the Anaconda installation wizard is opened, it will install the Anaconda package quickly. 

  • Initialize and update Anaconda
    • After Anaconda Python package has been installed in the system, check if the Anaconda Python environment is installed in the system or not.
    • The Anaconda Python package will include a full set of Graphical Tools, named Anaconda Navigator which can be launched from the application launcher directly.
    • Choose the Conda option from the Application Launcher window. 
    • Fire up the command line window type in the following command to make sure if conda is installed in the environment or not.
  • Conda -V
    • Next,  to confirm the installation of Python, use the following command:
      • Python -V
    • If no error shows up, it means that the installation of Conda was successful.
    • Type out the following command in the command line to confirm whether the Conda version is updated or not:
      • Conda update conda
      • Conda update anaconda

To download and install Python on Mac OS X, follow the below mentioned steps:

  • Go to the Python Website (https://www.Python.org) and download the latest version.
  • Once the installation of Python on Mac OS X is complete, you will get the following:
    • A framework, viz. /Library/Frameworks/Python.framework, including the Python libraries and executable. The installer automatically adds this location to the shell path. To uninstall MacPython, you can just remove these libraries and executables.
    • A MacPython 2.7 folder will be created in your Applications folder. Inside this, you will get the IDLE. It is a part of the standard Python distributions and is the development environment.
      • It also includes the PythonLauncher that is responsible for handling the double clicking Python scripts from the Finder.
      • The Build Applet tool is included in this as well. It is responsible for packaging the Python scripts as standalone applications.
  • There is a help menu included in the IDLE that provides the developer access to the documentation of Python. This documentation contains tutorials, FAWs, etc. to help the developers.

In Ubuntu LTS, Python 2.7 and Python 3.5 are preinstalled. However, if your Ubuntu doesn't have Python or you want to update it to a newer version, you need to follow the below mentioned steps: 

  • Open the terminal and get the updated apt-get package. To do so, you need to type the following command and enter the password when asked:

$ sudo apt-get update

  • Next step is to install Python 3.6 by using the below mentioned command. You will have to type in the password when prompted:

$ sudo apt-get install Python3.6

  • Use the following command to run Python:

$ Python3

Python Projects

Here is a list of projects that you can try as a Python beginner:

  • Guess the number game: The concept of the game is simple. The user has to guess a random number generated by the game. If the answer is correct, the user wins. If the answer is wrong, the game will indicate by how much the answer deviates. The concepts used in this project are:
    • Random function 
    • Variables 
    • I/O 
    • Conditional statements 
  • To-do list application: This is one of the most basic applications that almost every programmer develops in the beginning. In the app, one must be able to add, delete or update items in the list. The following concepts are used in the project:
    • UI 
    • Conditional statements 
    • I/O
    • Variables 
  • Adventure game: In this adventure game, the entity moves according to the directions provided by the player. Walls are the constraints and if the player confronts it, a message is displayed. The following concepts are used in this project:
    • UI 
    • I/O
    • Variables 
    • Conditional statements 
    • List and data structures
  • Calculator: This is one of the simplest programs. It uses the following concepts:
    • UI 
    • Variables 
    • I/O
    • Conditional statements 

If you want to learn how to structure a project, you can try the following resources:

  1. Learn Python the Hard Way: Made for experienced programmers, this book will help them turn into a professional Python developer. It contains insights and tricks used by experienced Python developers.
  2. Scikit-learn documentation: This machine learning library of Python contains algorithms that are often used in Data Science and ML projects.
  3. Python Cookbook: This all-in-one book is a must read for every Python programmer. It contains everything you will need to become a Python developer. It covers core language topics, how to structure the project, and different consequences of program structuring.

The best way to learn Python is by implementing its concepts in a project. Here are the 5 tips to find interesting Python projects:

  • Meetups: Meetups not only help you in finding projects but also help in establishing your network. Hundreds of developers attend these meetups to discuss new innovations, project, and latest technology trends.
  • Social coding: Social coding involves taking up projects from your friends or an NGO that will help you contribute to their cause.
  • Self-made projects: If you have a necessity that can be completed with a project, find it and convert it into a project.
  • Hackathons: Competitions like Hackathons can provide you inspiration for a project. You can also contribute to other people’s projects.
  • Open-source: Python comes with a huge open-source community where you can find several packages to contribute.

Python Books

If you want to learn Python, here we have compiled a list of the 4 best books that will help you get an in-depth knowledge of the programming language:

  1. Python Cookbook: This is an all-in-one book that provides comprehensive guidance on basic topics like text, strings, generators, File I/O, concurrency, system administration, utility scripting, data processing, and encoding.
  2. Head First Python: This book follows a visual approach instead of a text approach. It contains hands-on exercises that will help you understand the fundamentals of Python better. It covers everything from working with built-in functions to data wrangling, exception handling and using the database for creating your own application.
  3. Learn Python the Hard Way: Recommended for experienced programmers, this book contains 52 exercises that will help you learn how to code professionally. You will learn structuring a program, debugging, testing, and avoiding mistakes made by professionals.
  4. Python Programming: An Introduction to Computer Science: If you are a newbie programmer and want to start your programming journey with Python, this book is best suited for you. It begins with a basic introduction to concepts of computer science and slowly introduces to implementation of these concepts using Python.

If you are a beginner in programming, here are the 3 best books that will help you learn Python:

  • Python Programming: An Introduction to Computer Science: Designed for college students, this book focuses on the implementation of computer science concepts using Python.
  • Murach's Python Programming: For the ease of learning, this book is divided into four sections:
    • Section 1: Basic concepts of computer science and programming 
    • Section 2: Skills required by every Python
    • Section 3: OOPs concepts and creating OOP programs.
    • Section 4: Implementation using database and GUI
  • Learn Python in One Day: If you are having bad luck with other books, you can try this short book. It will help you quickly understand the concepts of programming.

Here are the 3 best Python books for experts:

  • Python Cookbook: This all-in-one book will help you learn the basic as well as advanced features of Python and bring you up to date with the current coding standards. It covers topics like:
    • Exception handling, debugging, and testing
    • Metaprogramming
    • Network and web programming
    • Data processing and encoding
    • Using C extensions in your Python program
  • Learn Python the Hard Way: Written by Zed Shaw, this book contains 52 exercises that will teach you how to structure your program and how to avoid the mistakes often made by professionals. It covers all major topics including:  
    • Python packaging
    • Debugging and testing
    • Organizing, writing code, and program designing
    • Basic game and web development
    • Composition and inheritance
  • Python Crash Course: A Hands-On, Project-Based Introduction to Programming: The first half of the book covers the basics of Python and the other includes implementation of this knowledge into three projects. It covers the following:
    • Integrating your program with powerful and robust libraries like matplotlib, NumPy, etc.
    • Creating interactive 2D games.
    • Debugging
    • Data visualization

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Frequently Asked Questions on Python Certification Course

Python Certification Course

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

You will learn:

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

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

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

Yes, KnowledgeHut offers python programming training online.

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

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

Finance Related

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

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

The Remote Experience

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

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

Have More Questions?

Python Programming Course in Jakarta

A dynamic city that is growing so fast that it may be unrecognizable in a couple of decades is Jakarta. But amidst this concrete jungle of choc-o-bloc commercial and residential buildings one will find a friendly and open sea of humanity who are optimistic and warm. Jakarta has been an important centre for finance and trade right from the time it was established in the 4th century. Today it is a global city and houses a great many national and international organizations from the banking, trading, financial services, electronics, automotive, chemicals and other manufacturing sectors. It is also gaining reputation as one of Asia?s best places to shop, wine and dine with trendy malls and boutiques and upmarket restaurants that offer mouth-watering delicacies. Students get a lot of opportunities if they are armed with the right credentials. KnowledgeHut helps you with this by offering a range of courses to choose from including-- 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.