Python Training in Gandhinagar

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Best Python Programming Language Course in Gandhinagar

TOPS Technologies Gandhinagar is highly renowned for playing a significant role in offering comprehensive training to students and working professionals alike. Gandhinagar is gradually emerging as the best IT hub in Western India. There are high demands for specialized skills in Python to get a decent enough job in the IT industry.

Students at TOPS for Python Training in Gandhinagar center are trained – from picking up the expertise in Python Syntax, Strings and Console Output, Conditional and Control Flow to name a few. The enrolled students of Python course undergo a rigorous theory and practical training sessions as the course progresses. The idea is to acquire absolute know-how of the subject that helps in learning ways to create programs that generate different outcomes based on user input and usage of Functions in Python.

TOPS stands as the pioneer in IT training with over 10,000 candidates placed in big IT companies since its inception. It is ideal to visit the center and acquaint yourself with our Python learning course and attend a risk-free demo session at TOPS Technologies Gandhinagar Center.

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Curated Python Course in Gandhinagar for Professionals & Students

TOPS Technologies in Gandhinagar holds great experience in customizing the Python training course to fit in the needs of students and working professionals.

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Course Curriculum

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  • Introduction of Python
  • OOP Concepts
  • Programming Style
  • Core python concepts
  • Conditional Statements
  • If, If- else, Nested if-else
  • Looping, For, While, Nested loops
  • Control Statements, Break, Continue, Pass
  • String Manipulation
  • Accessing Strings
  • Basic Operations
  • String slices
  • Function and Methods

  • List
  • Introduction
  • Accessing list
  • Operations
  • Working with lists
  • Function and Methods
  • Tuple
  • Accessing tuples Operations Working
  • Functions and Methods
  • Dictionaries
  • Accessing values in dictionaries
  • Working with dictionaries
  • Properties

  • Calling a function
  • Types of functions
  • Function Arguments
  • Anonymous functions

  • Modules
  • Importing module
  • Math module
  • Random module
  • Packages

  • Printing on screen
  • Reading data from a keyboard
  • Opening and closing file
  • Reading and writing files

  • Handling Exception
  • clause
  • Try ? finally clause
  • User Defined Exceptions

  • Class
  • Object
  • Attributes
  • Inheritance
  • Overloading
  • Overriding
  • Data Hiding

  • Search function
  • Match Function
  • Matching VS Searching
  • Modifiers

  • Introduction
  • Architecture
  • CGI environment variable
  • GET and POST methods
  • Cookies
  • File upload

  • Socket
  • Socket Module
  • Methods
  • Client and server
  • Internet modules

  • Thread
  • Starting a thread
  • Threading module
  • Synchronizing threads
  • Multithreaded Priority Queue

  • Introduction
  • Tkinter programming
  • Tkinter widgets
  • Designing
  • HTML
  • CSS
  • JavaScript
  • Ajax

  • Introduction
  • Connections
  • Executing queries
  • Transactions
  • Handling error

  • Simple Web application.
  • Client-Server Architecture.
  • Intro of Flask and Bottle.
  • Advanced Web Framework Django.
  • Connectivity with MySql Connection Steps.
  • CRUD Operation Using Tkinter with MVC Pattern

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Course Key Features

Develop web applications in Python with Django Framework
Create API using industry tools and software packages
Building Data Model in Django
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Skills Covered

Python Programming
Python Syntax and Semantics
Data Structure
Django Framework
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Job Roles

Python Developer
Web Scrapping
Flask Developer
Software Developer
Software Engineer
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Interview Questions

Matplotlib is a plotting library for Python that allows you to create a wide range of 2D plots and visualisations. It provides a way to create bar charts, line charts, scatter plots, histograms, and more. 

Here are some key points about Matplotlib:

  • Matplotlib is a third-party Python library, meaning you must install it separately to use it.
  • It is a cross-platform library that works on Windows, macOS, and Linux.
  • Matplotlib provides a wide range of customization options, allowing you to create highly customised plots and visualisations.
  • You can use Matplotlib to create interactive plots, animations, and more.

Matplotlib is a popular choice for data visualisation in Python and is often used in scientific computing, data analysis, and machine learning.

A package in Python is a method for organising related modules into a single entity. A package is nothing more than a directory containing one or more Python modules and a specific __init .py file that instructs Python to consider the directory as a package.

Here are some key points about packages in Python:

  • Packages facilitate the organisation of enormous tasks into smaller, more manageable chunks.
  • You may import modules from a package, such as an import package.module, using dot notation.
  • Sub-packages may be included in packages, essentially sub-directories holding extra modules and sub-packages.
  • Installing and distributing packages is possible using tools such as pip and setuptools.

Python contains several built-in packages, including os, datetime, and maths, and third-party packages, such as NumPy, Pandas, and Matplotlib.

A generator is a specific function in Python that returns an iterator object. In contrast to conventional functions, which return a result and terminate, generators may be paused and resumed, enabling you to produce a succession of values on the go.

These are some crucial features of Python generators:

  • The yield keyword, which returns a value and suspends function execution until the next value is requested, is used to construct generators.
  • You may use a for loop or the next() function to iterate through the values generated by a generator.
  • Generators are memory-efficient because they create one value at a time rather than storing all data concurrently.
  • Infinite sequences, such as random numbers or the Fibonacci sequence, may be generated using generators.
  • Generators are effective and versatile tools for manipulating big data sets and producing complicated sequences of values.

An exception in Python is an error that happens during programme execution. When an exception occurs, the programme pauses execution and shows an error notice, enabling you to investigate and resolve the issue. 

Here are some important things concerning Python exceptions:

  • Exceptions are thrown with the raise keyword or automatically when an error occurs, such as dividing by zero or attempting to access a variable that does not exist.
  • A try/except block may be used to capture exceptions, enabling you to gracefully manage the exception and resume programme execution.
  • Python has several built-in exceptions, including TypeError, ValueError, and FileNotFoundError.
  • You may also define exceptions by inheriting them from the built-in Exception class.
  • Exceptions are a powerful error-handling mechanism in Python that may help you develop more resilient and dependable programmes.

CPython is the default and most widely used implementation of the Python programming language. It is written in C and is the reference implementation of the Python language.

 Here are some key points about CPython:

  • CPython is open-source software and is licensed under the Python Software Foundation License.
  • CPython provides a way to execute Python code on various platforms, including Windows, macOS, and Linux.
  • CPython provides access to many third-party libraries and packages through tools like pip and conda.
  • CPython includes a built-in interactive interpreter, which allows you to test Python code and experiment with the language.
  • CPython is popular for scientific computing, data analysis, web development, and many other applications.

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