Python for Advance
Overview
Course Objective
Refresh and strengthen core Python concepts
Write efficient, Pythonic code using advanced features
Work with the OS, file systems, and environment variables
Organize projects with modules and packages
Build and manage object-oriented programs
Use metaprogramming techniques like decorators
Apply testing, debugging, and profiling tools
Distribute Python applications using setup tools
Connect and interact with databases
Create basic GUI applications
Develop client-server network programs
Implement multithreading in Python
Parse and generate XML and JSON data
Extend Python with C modules
Run shell commands using the
shmodule
Who Should Attend
• Anyone who want to become a Data Analyst, Engineer, Scientist
Prerequisites
Basic of Python Programming
Training Calendar
Intake
Duration
Program Fees
Module
Module 1 - Python Refresher
• Data Types
• Sequences
• Mapping Types
• Program Structure
• Files and Console I/O
• Conditionals
• Loops
• Builtins
Module 2 - OS Services
• OS module
• Environment variables
• Launching external
• commands
• Walking directory trees
• Paths, directories, and filenames
• Working with file systems
• Dates and times
Module 3 - Pythonic
• Programming
• The Zen of Python
• Common idioms
• Lambda functions
• List comprehensions
• Generator expressions
• String formatting
Module 4 - Modules and Packages
• Initialization code
• Namespaces
• Executing modules as scripts
• Documentation
• Packages and name
• Resolution
• Naming conventions
• Using imports
Module 5 - Classes
• Defining classes
• Instance methods and data
• Initializers
• Class methods
• Static methods
• Inheritance
• Multiple inheritance
• Pseudo-private variable
Module 6 - Meta Programming
• Implicit properties
• Globals() and Locals()
• Attributes
• The inspect module
• Decorators
• Monkey patching
Module 7 - Programmer Tools
• Analyzing programs
• Using pylint
• Testing code
• Using unittest
• Debugging
• Profiling
Module 8 - Distributing modules
• Distribution concepts
• Setuptools
• Creating setup.py
• Building installers
• Running installers
Module 9 - Database access
• The DB API
• Available interfaces
• Connecting to a server
• Creating and executing a cursor
• Fetching data
• Parameterized statements
• Metadata
• Transaction control
Module 10 - GUI Programming
• Overview
• The mainwindow object
• Widgets
• Colors and fonts
• GUI layout
• Event handling
Module 11 - Network Programming
• Sockets
• Clients
• Servers
• Application protocols
• Forking servers
• Threaded servers
• Binary data
• The struct module
Module 12 - Threads
• Why use threads
• Threads are di_erent
• Variables are shared
• Python threats modules
• The threading module
• The queue module
Module 13 - XML and JSON
• Working with XML
• DOM and SAX
• Introducing ElementTree
• Parsing XML
• Navigating the document
• Creating a new XML document
• JSON
• Parsing JSON into Python
• Converting Python into JSON
Module 14 - Extending Python
• About non-Python modules
• Overview of a C extension
• Creating functions
• Registering functions
• Initialization code
• Loading the module
Module 15 - Using the sh module
• The sh namespace
• Running a simple command
• Keyword arguments
• Running commands in the background
• Piping and redirection Working with
• STDIN
• Exit codes
• Advanced features
FAQs
General Questions:
Q: What is the Python for Advance course about?
This 3-day course dives into advanced Python programming concepts to help learners write more efficient, organized, and professional code. It covers topics such as Pythonic programming, object-oriented design, modules and packages, database access, GUI and network programming, multithreading, XML/JSON parsing, and extending Python with C. It’s designed for those aiming to take their Python skills to the next level for real-world applications.
Q: Who should attend this course?
Aspiring data analysts, data engineers, and data scientists who already have basic knowledge of Python and want to strengthen their programming skills for advanced tasks and professional environments.
Q: What are the prerequisites for this course?
Participants should have a foundational understanding of Python programming, including familiarity with data types, control flow, and basic scripting.
Q: How long is the course?
The course spans 3 days and is delivered through instructor-led sessions.
Q: What key topics are covered in this course?
Python refreshers, OS services, Pythonic programming techniques, modules and packages, object-oriented programming, metaprogramming, developer tools, module distribution, database access, GUI development, network programming, multithreading, XML and JSON handling, extending Python with C, and shell command integration using the sh module.
Q: Will I receive a certification after completing the course?
Yes, participants will receive a certificate of completion, validating their advanced proficiency in Python programming.
Program Content & Skills:
Q: What foundational Python concepts will I strengthen in this course?
You’ll reinforce key Python fundamentals such as working with data types, control structures, sequences, mappings, file I/O, and program structure. This refresher ensures you’re ready to dive into advanced topics with confidence and clarity.
Q: How does the course help me apply Python to real-world problems?
Through hands-on exercises, you’ll use Python to build real applications involving file systems, databases, GUIs, and network communication. You’ll also write scripts that automate tasks, process data, and interact with operating systems—skills applicable in data science, web development, and software engineering.
Q: What skills will I develop in managing and structuring Python applications?
You’ll learn to organize your code using modules, packages, and namespaces, apply object-oriented programming, and use testing tools like unittest and pylint for maintainability. You’ll also explore metaprogramming, decorators, and profiling for high-quality, efficient code.
Q: Will I learn how to work with different data and systems in Python?
Yes. You’ll work with XML and JSON data formats, access and manipulate databases, create threaded applications, and develop GUIs. You’ll also use the sh module to run shell commands, making your Python scripts more powerful and system-integrated.
Q: How does this course prepare me for using Python professionally?
The course equips you with advanced programming techniques and best practices to build scalable, secure, and efficient applications. Whether you’re automating workflows, building tools, or integrating systems, you’ll gain the expertise needed to handle professional Python development tasks with confidence.
Submit your interest today !
