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Advanced Python Training

Live Online & Classroom Enterprise Certification Training

With our Advanced Python Training, master all the skills you need to develop complex and intelligent Python web applications, client-side applications, data analytics solutions, data transfer applications and much more. Learn the practice of code reusability by creating custom modules and libraries for later use.

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What is Advanced Python Training about?

This course dives deep into advanced Python programming techniques, covering object-oriented design, advanced data structures, concurrency, performance tuning, and best coding practices. Learners will build scalable, efficient, and maintainable Python applications suitable for enterprise, analytics, and automation use cases.

What are the objectives of Advanced Python Training ?

  • Master advanced Python syntax and programming patterns 
  • Apply object-oriented and functional programming concepts effectively 
  • Optimize Python code for performance and scalability 
  • Work with concurrency, multiprocessing, and asynchronous programming 
  • Build production-ready Python applications 

Who is Advanced Python Training for?

  • Python developers with foundational knowledge 
  • Software engineers and application developers 
  • Data analysts and data scientists expanding Python depth 
  • Automation and DevOps professionals 
  • Technical professionals working on Python-based projects 

What are the prerequisites for Advanced Python Training?

Prerequisites:  
  • Basic to intermediate Python programming knowledge 
  • Understanding of variables, loops, and functions 
  • Familiarity with basic object-oriented concepts 
  • Experience with scripting or application development 
  • Basic knowledge of software development practices  

Learning Path: 
  • Python fundamentals and syntax refresh 
  • Advanced data structures and OOP design 
  • Error handling, logging, and testing frameworks 
  • Concurrency, async programming, and performance tuning 
  • Real-world project and best practice implementation 

Related Courses: 
  • Python Basics / Python for Beginners 
  • Python for Data Science 
  • Python Automation and Scripting 
  • Python Frameworks (Django / Flask)

Available Training Modes

Live Online Training

3 Days

Self-Paced

8 Hours Register Now

Course Outline Expand All

Expand All

  • Data types
  • Sequences
  • Mapping types
  • Program structure
  • Files and console I/O
  • Conditionals
  • Loops
  • Built-ins
  • The OS module
  • Environment variables
  • Launching external commands
  • Walking directory trees
  • Paths, directories, and filenames
  • Working with file systems
  • Dates and times
  • The Zen of Python
  • Common idioms
  • Lambda functions
  • List comprehensions
  • Generator expressions
  • String formatting
  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports
  • Defining classes
  • Instance methods and data
  • Properties
  • Initializers
  • Class and static methods/data
  • Inheritance
  • Implicit properties
  • globals() and locals()
  • Working with attributes
  • The inspect module
  • Decorators
  • Monkey patching
  • Analyzing programs
  • Using pylint
  • Testing code
  • Using unittest
  • Debugging
  • Profiling and benchmarking
  • The DB API
  • Available Interfaces
  • Connecting to a server
  • Creating and executing a cursor
  • Fetching data
  • Parameterized statements
  • Metadata
  • Transaction control
  • Other DBMS modules
  • Sockets
  • Clients
  • Servers
  • Application protocols
  • Forking servers
  • Binary data
  • When to use threads?
  • The Global Interpreter Lock
  • The threading module
  • Simple threading
  • Sharing variables
  • The queue module
  • Debugging threaded programs
  • Multiprocessing
  • Other alternatives
  • Working with XML
  • DOM and Sax
  • Introducing ElementTree and xml
  • Parsing XML
  • Navigating the document
  • Creating a new XML document
  • JSON
  • Parsing JSON into Python
  • Converting Python into JSON
  • About non-Python modules
  • Overview of a C extension
  • Writing C by hand
  • Using SWIG
  • Loading modules with ctypes

Who is the instructor for this training?


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