Python

Learn More

Python Training

Allurtech offers a Python programming training program covering core concepts such as Python basics, data structures, control flow, functions, modules, file handling, regular expressions, object-oriented programming, and advanced concepts. Python is widely used in data science, web development, machine learning, artificial intelligence, and more. Our program provides the skills and knowledge needed to develop robust and efficient Python applications, making it suitable for both beginners and experienced programmers seeking to advance their careers. Join us at Allurtech and take the first step towards mastering Python.

Training Objective

Python training is beneficial for IT professionals at different stages of their careers. Beginners can easily learn Python for programming tasks such as web development, data analysis, and machine learning. Experienced programmers can expand their skill set for fields like data science, machine learning, and artificial intelligence. Python training covers topics such as basic programming concepts, data structures, object-oriented programming, and web development frameworks. Python's broad applicability means that professionals from different roles can benefit from learning the language, making it a valuable investment for staying ahead in the industry.

Training Content

Introduction to Python programming
Python basics: data types, variables, operators, and expressions
Control structures: conditionals, loops, and functions
Data structures: lists, tuples, sets, and dictionaries
File handling and I/O operations in Python
Regular expressions and string manipulation
Object-oriented programming in Python: classes, objects, inheritance, and polymorphism
Advanced Python concepts: decorators, generators, closures, and modules
Web development with Python: Flask and Django frameworks
Database integration and CRUD operations in Python
Testing and debugging Python code
Python libraries and frameworks for data science and machine learning, such as NumPy, Pandas, Scikit-Learn, and TensorFlow
Code review and best practices for Python programming

Python Training

Training Objective

Training Content

Introduction to Python programming

Python basics: data types, variables, operators, and expressions

Control structures: conditionals, loops, and functions

Data structures: lists, tuples, sets, and dictionaries

File handling and I/O operations in Python

Regular expressions and string manipulation

Object-oriented programming in Python: classes, objects, inheritance, and polymorphism

Advanced Python concepts: decorators, generators, closures, and modules

Web development with Python: Flask and Django frameworks

Database integration and CRUD operations in Python

Testing and debugging Python code

Python libraries and frameworks for data science and machine learning, such as NumPy, Pandas, Scikit-Learn, and TensorFlow

Code review and best practices for Python programming