"Full Stack Python Development - Canter Technologies"

About Python Training in Guntur:

Python is a widely used general-purpose, high level programming language. It was created by Guido van Rossum in 1991 and further developed by the Python Software Foundation. It was designed with an emphasis on code readability, and its syntax allows programmers to express their concepts in fewer lines of code.

Python is a programming language that lets you work quickly and integrate systems more efficiently. There are two major Python versions: Python 2 and Python 3. Both are quite different.

Python Training Course Objective:

To understand why Python is a useful scripting language for developers.

To learn how to design and program Python applications.

To learn how to use lists, tuples, and dictionaries in Python programs.

To learn how to identify Python object types.

To learn how to use indexing and slicing to access data in Python programs.

To define the structure and components of a Python program.

To learn how to write loops and decision statements in Python.

To learn how to write functions and pass arguments in Python.

To learn how to build and package Python modules for reusability.

To learn how to read and write files in Python.

To learn how to design object oriented programs with Python classes.

To learn how to use class inheritance in Python for reusability.

To learn how to use exception handling in Python applications for error handling.

Why This Course is Required:

Python has an active and big community containing Python's collection of modules, libraries, and helpful resources. The vast support community of Python helps coders to run into a stumbling block, finding a solution easily, and bound to keep running into the same issue before. Python is popular for several reasons, and some of them are:

It has an easy syntax that simulates natural language, so it's more comfortable reading and understanding, making it faster to create projects and improve on them.

It can be used for multiple tasks, from web development to machine learning.

It's beginner-friendly, which makes it popular for entry-level coders.

It's free to use and distribute, even for commercial purposes.

Our Training Methodology:

Canter technologies is the best Python language training institute in Guntur. Here we provide Python Programming Training in Guntur with certification. Our Python Programming course content created by industry experts, to full fill industry expectations. They will provide in depth training on Python Programming in Guntur. Python Programming training in Guntur will take from 30-45 days to become expert in Python programming. We are best Python language training institute in Guntur hear you learn concepts of Basic Introduction of Python, Data Types, Variables, Input & Output Management, Operators, List, Tuple, Set, Dictionaries, Modular Programming with Functions, Lambda, Arrays, Strings, Packages, OOPs, File Handling in Python programming training institute in Guntur.

Why choose CANTER Technologies:

Canter technologies is the best Python language training institute in Guntur. Take training from Canter technologies in Guntur. Learn Python language course in Guntur from basic to advanced level. Learn Python programming training in Guntur from experienced faculty in canter technologies in Guntur. Canter technologies provide job-oriented training in C language training in Guntur.

Python Language Course objectives.

Module-1: Introduction to Python

Need for Python Programming

Advantages of Programming

Overview of Python 

Organizations using Python 

Python Applications

Python, Jupiter installation 

Learn to use Jupiter Note Book

Variables, Operands and Expressions 

Module-2: Python Data Types

Declaring and using Numeric data types

Using string data type and string operations 

Defining list and list slicing

Use of Tuple data type

Tuple - Properties, Related Operations

List - Properties, Related Operations

Module-3: Python Program Flow Control

Conditional blocks using if, else and elseif 

Simple For loops in python 

For loop using ranges, string, list and dictionaries Use of while loops in python Loop

Module-4: Python String, List And Dictionary Manipulations

Building blocks of python programs

Dictionary manipulation

Programming using string, list and dictionary in build functions

Dictionary - Properties, Related Operations

Set - Properties, Related Operations

Module-5 : Python File Operation

Reading config files in Python

Writing log files in Python

Understanding read functions, read(), readline() and readlines()

Understanding write functions, write() and writelines()

Manipulating file pointer using seek Programming using file operations

Module-6 : Python Functions, Modules And Packages

Organizing python codes using functions

User-Defined Functions

Function Parameters

Different Types of Arguments

Global Variables and Keywords

Variable Scope and Returning Values

Lambda Functions, Built-In Functions 

Modules and Packages

Module-7: Deep Dive – Functions and OOPs Topics

Introduction to OOPs

Built-In Class Attributes 

Public, Protected and Private Attributes, and Methods

Class Variable and Instance Variable

Constructor and Destructor

Decorator in Python

Core Object-Oriented Principles

Inheritance and Its Types

Method Resolution Order

Module-8: Python Regular Expression

Power of pattern searching using regex in Python

Real time parsing of networking or using regex 

Password, email, URL validation using regex

Pattern finding programs using regular expression

Module-9: Python Exception Handling

Avoiding code break using exception handling

Safeguarding file operation using exception handling

Handling and helping developer with error code 

Programming using Exception handling

Module-10: Python Multithreading

Understanding threads

Forking threads 

Synchronising the threads

Programming using multithreading

Module-11: Introduction to NumPy

Basics of Data Analysis

NumPy - Arrays, Operations on Arrays

Indexing Slicing and Iterating

NumPy Array Attributes

Matrix Product, NumPy Functions 

Array Manipulation, File Handling

Module-12: Data Manipulation using pandas

Introduction to pandas 

Data structures in pandas

Series,Data Frames 

Importing and Exporting Files

Merging of Data Objects

Concatenation of Data Objects

Data Cleaning using pandas

Exploring Datasets

Module-13 : Data Visualisation using Matplotlib

Why Data Visualisation? 

Matplotlib Library 

Line Plots, Multiline Plots 

Bar Plot, Histogram

Pie Char, Scatter Plot

Boxplot, Saving Charts 

Customising Visualisations,

Saving Plots, Grids and Subplots

Module-14: GUI Programming

Tkinter Package

Text Widgets, Window Widget

Button Widget, Label Widget 

Entry Widget, Slider Widget

Radio Button Widget 

Geometry Managers 

Creating a GUI Application

Module-15 : Developing Web Maps and Representing Information using Plots

Use of Folium Library 

Flow Chart of Web Map Application

Developing Web Map Using Folium and Pandas 

Reading Information from Titanic Dataset and Represent It Using Plots

Module-16: Data Visualization and Web Scraping

Beautiful Soup and Requests Library 

Scrap All Hyperlinks from a Webpage Using Beautiful Soup and Requests 

Plotting Charts Using Bokeh 

Plotting Scatter Plots Using Bokeh