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Intermediate Python Training

Live Online & Classroom Enterprise Training

An intermediate-level Python course designed to strengthen core programming skills and introduce more advanced concepts such as object-oriented programming, modules, file handling, and error management. The course focuses on writing clean, efficient, and reusable Python code for real-world applications.

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What is Intermediate Python Training about?

This course bridges the gap between basic Python knowledge and advanced development practices. Learners will gain hands-on experience with structured programming, reusable code, and problem-solving techniques commonly used in data processing, automation, and application development.

What are the objectives of Intermediate Python Training ?

  • Strengthen understanding of intermediate Python concepts
  • Apply object-oriented programming effectively
  • Write modular and reusable Python code
  • Handle files, exceptions, and errors efficiently
  • Improve problem-solving and debugging skills

Who is Intermediate Python Training for?

  • Beginners with basic Python knowledge
  • Software developers enhancing Python skills
  • Data analysts and engineers using Python
  • Automation and scripting professionals
  • Students preparing for advanced Python courses

What are the prerequisites for Intermediate Python Training?

Prerequisites:

  • Basic understanding of Python syntax
  • Knowledge of variables, loops, and conditions
  • Familiarity with functions and basic data types
  • Basic programming logic
  • Experience with any IDE or Python environment


Learning Path:

  • Python Fundamentals
  • Intermediate Python
  • Advanced Python Programming
  • Python for Data Analysis / Automation
  • Python Frameworks or Specialized Domains


Related Courses:

  • Advanced Python Programming
  • Python for Data Analysis
  • Python for Automation and Scripting
  • Object-Oriented Programming with Python

Available Training Modes

Live Online Training

3 Days

Course Outline Expand All

Expand All

  • Namedtuple, defaultdict, OrderedDict, deque, etc.
  • Functional tools: map, filter, reduce, lambda
  • Functional modules and operators
  • Functional closures and decorators
  • List comprehensions and generator expressions
  • Generator functions and the yield statement
  • Itertools utilities: chain, groupby, and more
  • Python’s iteration protocol: iter(), next()
  • What a context manager is
  • The with statement
  • Using built-in context managers
  • Creating custom ones with contextlib
  • Review of testing concepts (unit, integration, etc.)
  • Test-Driven Development (TDD) basics
  • Python’s unittest module
  • Using nose for test collection
  • Importance of logging in applications
  • Basic logging concepts and configuration
  • Loggers, handlers, and formatters
  • Using configuration files for complex setups
  • Using NumPy for fast numerical operations
  • Vector and matrix mathematics
  • Special functions in SciPy
  • Practical examples of numerical processing
  • DataFrames and data manipulation
  • Aggregation and grouping
  • Reshaping and cleaning data
  • Working with web APIs and parsing JSON/XML
  • Using multiprocessing module
  • Synchronizing processes/threads
  • Sharing data with pipes and queues
  • Building concurrent programs

Who is the instructor for this training?

The trainer for this Intermediate Python Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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