Python is a general-purpose interpreted, interactive, object-oriented and high-level programming language. Currently Python is the most popular Language in IT. Python adopted as a language of choice for almost all the domain in IT including Web Development, Cloud Computing (AWS, OpenStack, VMware, Google Cloud, etc.. ),
Infrastructure Automations , Software Testing, Mobile Testing, Big Data and Hadoop, Data Science, etc. 



4 Industry-based projects/
used cases


Annual Average Salary


90% Hands-on Training on
real time business challenges 


Build a Blockchain *popular
or Flappy Bird Game


Unlimited flexibility to join
training without charges


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Mastering Python course enables you to become a professional Python programmer. Any aspiring programmer can learn Python from the basics and go on to master web development & game development in Python. Gain hands on experience creating a flappy bird game clone & website functionalities in Python.

This course introduces the student to the Python language. On completion of this class the student should feel comfortable with writing Python programs. The course provides insight to the features of Python that make it an excellent choice for projects of virtually any size

After completing this course, students will be able to:

• Write Python programs dealing with sequences and mappings, program flow control, system calls and file manipulation

This course requires participants to meet the following prerequisites:

• Introduction to Unix course or equivalent experience
• Recent programming experience

This course is designed for those already using Korn shell scripting, Perl, or C programming languages to manipulate files or control processes

Python Programmer , Software Developer (Python), Python Backend Developer 

1. Retail banking
Top use: Flexible data transformation and manipulation

Case study: A large American department store chain with an in-store banking arm collects data centrally in a warehouse, and then shares it with multiple applications to enable its supply chain, retail banking, and analytics and reporting needs. While the company standardized on Python for data manipulation, each team created its own version, which created problems. The company decided on a single, standard Python build to increase engineering speed and decrease support costs.

2. Finance
Top use: Data mining identify cross-sell opportunities

Case study: An American multinational financial services corporation wanted to mine complex customer and prospect behavioral data as part of a digital transformation project. The company used Python to initiate different data science and machine learning initiatives to examine the structured data it had been collecting for years, and correlated it with unstructured data from the web and social media to increase cross-selling and reclaim resources.

3. Business services
Top use: API access to financial information

Case study: A privately-held financial data and media company had previously provided partners with access to financial information through different electronic resources. Partners wanted to build desktop applications in a variety of languages, including Python, to incorporate the customer's API directly into their own, and created a Python Software Development Kit (SDK) for their financial information API, leading to increased revenue and customer satisfaction.

4. Aerospace
Top use: Meeting software system deadlines

Case study: An American multinational aerospace, military, and defense corporation was contracted to provide a number of systems for the International Space Station. While aerospace software focused on critical safety systems is typically written in a language like Ada, those older languages do not lend themselves well to scripting tasks, GUI creation, or data science analysis. Selecting a single Python version offered a larger contract value and no exposure.

Course Outline 

2.1. The print statement
2.3. Python Data Structures & Data Types
2.4. String Operations in Python
2.5. Simple Input & Output
2.6. Simple Output Formatting  

3.1. Indentation
3.2. The If statement and its' related statement
3.3. An example with if and it's related statement
3.4. The while loop
3.5. The for loop
3.6. The range statement
3.7. Break & Continue
3.8. Assert
3.9. Examples for looping 

4.1. Create your own functions
4.2. Functions Parameters
4.3. Variable Arguments
4.4. Scope of a Function
4.5. Function Documentation/Docstrings
4.6. Lambda Functions & map
4.7. An Exercise with functions
4.8. Create a Module
4.9. Standard Modules 

5.1. Errors
5.2. Exception Handling with try
5.3. Handling Multiple Exceptions
5.4. Writing your own Exceptions 

6.1. File Handling Modes
6.2. Reading Files
6.3. Writing & Appending to Files
6.4. Handling File Exceptions
6.5. The with statement 

7.1. New Style Classes
7.2. Creating Classes
7.3. Instance Methods
7.4. Inheritance
7.6. Exception Classes & Custom Exceptions 

8.1 Simple Character Matches
8.2 Special Characters
8.3 Character Classes
8.4 Quantifiers
8.5 The Dot Character
8.6 Greedy Matches
8.7 Grouping
8.8 Matching at Beginning or End
8.9Match Objects
8.10 Substituting
8.11 Splitting a String
8.12 Compiling Regular Expressions
8.13 Flags 

9.1 List Comprehensions
9.2 Nested List Comprehensions
9.3 Dictionary Comprehensions
9.4 Functions
9.5 Default Parameters
9.6 Variable Arguments
9.7 Specialized Sorts
9.8 Iterators
9.9 Generators
9.10 The Functions any and all
9.11 The with Statement
9.12 Data Compression 

10.1 Introduction
10.2 Components and Events
10.3 An Example GUI
10.4 The root Component
10.5 Adding a Button
10.6 Entry Widgets
10.7 Text Widgets
10.8 Checkbuttons
10.9 Radiobuttons
10.11 Frames
10.12 Menus
10.13 Binding Events to Widgets 

11.1 A Daytime Server
11.2 Clients and Servers
11.3 The Client Program
11.4 The Server Program
11.5 Recap
11.6 An Evaluation Client and Server
11.7 The Server Portion
11.8 A Threaded Server 

12.1 Installation
12.2 DB Connection
12.3 Creating DB Table
12.5 COMMIT & ROLLBACK operation
12.6 Handling Errors



Mr Ajith Kumar
Enterprise Architect | Big Data Consultant | Analytics SME

► 22 Yrs of Technology & Industry Experience
► Data Science and Machine Learning Consultant
► Center Of Excellence member for SOA & Big Data
► Telecom Consultant & SME for SDP, BPM, EMM & Big Data
► Strategy & IT Transformation Consultant for   Telecom & Banking



1Mon, 16 Dec 2019Fri, 20 Dec 20199AM - 5PM

*Please contact us for weekend & live online training schedule
Duration : 5 days / 40 hours
Weekday Training & Weekend Training
FlexiLearning for Online Classes 

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If you have any question about training, fees, courses or anything else, feel free to ask us anytime!


Nexperts Academy Sdn Bhd,
Unit 313, Block E, Phileo Damansara 1, Jalan 16/11 off Jalan Damansara 46350, PJ Selangor, Malaysia

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Office: +6 03 7931 8872