Theory

• Introduction to Python
  • Overview of Python and its history.
  • Key features and benefits.
• Anaconda IDE
  • Installing and setting up Anaconda.
  • Overview of Anaconda features.

Installing Python and Anaconda IDE

• Step-by-step guide to installing Python.
• Installing and configuring Anaconda IDE on various platforms.

• Arithmetic Operators
  • + – * / %% //
• Relational Operators:
  • <, >, <>, =, >=, <=
• Bitwise Operators
  • AND, OR, XOR, NOT, shifts.
• Increment and Decrement
  • Using +=, -=, etc.
• Logical Operators
  • AND, OR, NOT.

• Do While Loop
  • Syntax and examples.
• While Loop
  • Syntax and practical use cases
• For Loop
  • Iterating over sequences.
• Break and Continue
  • Controlling loop flow.

• Lists
  • Creating, accessing, modifying.
  • List comprehensions methods.
• Sets
  • Creating and using sets.
  • Set operations and methods
• Tuples
  • Creating and accessing tuples.
  • Tuple methods immutability.
• Dictionary
  • Creating & using dictionaries.
  • Methods operations.
• Strings
  • Manipulation and methods.
  • Formatting & Operations.
• Numbers
  • Numeric types in Python.
  • Operations & Conversions.

• Create Class
  • Defining & instantiating classes.
• Creating Objects
  • Object instantiation and usage.
• Member Variables
  • Instance and class variables.
• Member Methods
  • Defining and calling methods.

• Default Constructor
  • Creating default constructors.
• Parameterized Constructor
  • Using parameters in constructor.

• Is-A Relationship
  • Understanding inheritance types.
• Has-A Relationship
  • Composition and aggregation.

• Compile-Time (Overloading)
  • Method overloading concepts.
• Run-Time (Overriding)
  • Overriding dynamic p-morphism.

Methods returning objects and their applications.

• Modules
  • Creating and importing modules.
• Import
  • Importing from same and different packages.
• Packages
  • Understanding and creating packages.
  • Classifying same package same class, subclass, and non-subclass.
  • Different package subclass and non-subclass.
• Abstract Class
  • Concept of abstract classes and interfaces.
• Exception Handling
  • Handling Mechanism
    • Try, except, finally blocks.
  • Raising Exceptions
    • Custom exception raising.
  • User-Defined Exceptions
    • Creating and using custom exceptions.
• Multithreading
  • Introduction to multithreading.
  • Creating and managing threads.

• Reading and Writing Files
  • Reading from files.
  • Writing to files.

• Date Object
  • Working with dates.
• Date Time Object
  • Handling date & time.
• Time Object
  • Working with time.
• Time Zone Object
  • Managing time zones.

• Connecting Database
  • Setting up DB connections.
• Transactions
  • Commit and rollback.
• Queries
  • SELECT, INSERT, UPDATE
  • CREATE, ALTER, DROP.
• Batch Processing
  • Executing batch operations.

• Event Scheduler
  • Setting up and using event schedulers.
• Logging
  • Implementing logging in Python applications.
• Regular Expressions
  • Patterns and Matchers
    • Creating and using regular expressions.
  • Wildcards and Split
    • Advanced regex techniques.

Our Core Python Training course is designed to provide a solid foundation in Python programming, covering essential topics such as syntax, data types, control structures, and basic I/O operations.

This course is ideal for beginners, school students (class X and above), software developers, system administrators, IT professionals, and anyone interested in learning Python programming.

There are no strict prerequisites. However, a basic understanding of computer concepts and a passion for learning programming can be beneficial.

The course spans over 40+ hours of instructor-led sessions, designed to be completed in 1 month with a flexible schedule of 1 hour daily.

The curriculum includes topics like basic syntax, data types, control structures, functions, modules, file handling, and introductory object-oriented programming.

Yes, you will earn a prestigious certificate upon successfully completing the Core Python Training, validating your expertise and commitment to mastering Python.

We offer comprehensive job assistance, including resume building, mock interview questions, and access to our HR relations and alumni network for job leads and mentorship.

Yes, we provide support and resources to help you successfully complete real-world Python projects, solidifying your practical knowledge and enhancing your portfolio.

Absolutely! The course includes hands-on projects, practical assignments, and coding exercises to ensure you gain practical experience.

Yes, we offer flexible learning formats, including both classroom and online sessions, to suit your schedule and learning preferences.

You will learn various tools and libraries such as NumPy, Pandas, and Flask, as well as basic concepts of data analysis and web development.

Mastering Core Python equips you with essential programming skills, making you a valuable asset in various roles such as web development, data analysis, and software development.

No prior programming experience is required. This course is designed to accommodate beginners and help them build a strong foundation in Python programming.

You can contact us through our website to learn more about the course and schedule your free demo session. Our expert instructors are ready to help you start your Python programming journey.

Our teaching methodology emphasizes hands-on learning with practical exercises, real-world projects, and interactive sessions focused on industry-relevant scenarios.