Best Python classes in Gandhidham, Gujarat

Best Python classes in Gandhidham, Gujarat

Python is a well-liked general-purpose programming language applied for both big and small-scale applications. With Python, you can determine how to connect web development and data analytics. Python is a famous high-level, open-source programming language with a broad spectrum of applications in automation, big data, Data Science, Data Analytics development of games, and web applications. Python classes in Gandhidham, Gujarat It is a resilient, powerful object-oriented, defined language. Python is estimated to be a programming language with the greatest number of job possibilities. As a beginner’s programming language, it is extremely interactive and enjoyable so you can master it efficiently. Python Classess are an asset for you because of their easy-to-operate, great-efficiency programming.The Python Classes is an in-demand skill that can help app development for beginners to gain life in IT fields. Python is used a lot for Game development, App development and Data Science to make more user-friendly applications. Python classes in Gandhidham, Gujarat There is a reason why this high-level programming language is so popular. Python can be used in several areas, including testing, web development, app development and upgrades, and scriptwriting, to name a few. Python’s automatic memory management and dynamic type system support different programming standards. If you acquire this skill, you will have more Python career opportunities than you can imagine.

 

Topics Included:

 

  1. Install Python 3 and set up an atmosphere
  2. Data models and Operators
  3. Why should you study to program with python
  4. Working with functions
  5. Study about control flow

 

 

Python Classes Details:

 

  1. Function, modules, and packages in Python
  2. Lists and Tuples
  3. String, list, and dictionary manipulations
  4. Exception handling in Python
  5. Email sending automation
  6. Tkinter GUI application
  7. Socket Programming
  8. Introduction to Python
  9. File handling in Python
  10. Program flow control using Python
  11. Python Object-oriented programming
  12. Database Handling in Python
  13. Variables and Data Types in Python
  14. How to create setup file of project
  15. Numpy Package in details

 

 

 

Python classes in Gandhidham, Gujarat – Python opens for you several avenues that no other programming language can. Python’s widespread appropriation is due to its extensive standard library, simple readability, and patronage of various paradigms such as practical, procedural, and object-oriented programming techniques. Python is a programming language that executes everything from network applications to video games, Data Science, Machine Learning, real-time software to connected schedules, and is more durable. In this sector, we’ll take a more distant casino to appropriate into a wider list of applications of Python outside in the lush. Python classes in Gandhidham, Gujarat The Python programming language is oftentimes the best opportunity for introductory programs in data science and machine learning. Python is an analyzed, object-oriented, high-level Programming language with vibrant semantics. It is a high-level built-in data structure, integrated with dynamic typing and active binding, making it extremely attractive for Fast Application Development, as well as for usage as a scripting or glue language to combine existing components. Python has become one of the most widely utilized programming languages in the tech industry. Github’s 2020 report rated Python second among languages most used by programmers who contributed to the site, and Python was the fourth most prevalent language in Stack Overflow’s 2020 developer survey.

 

Python Classes Modules:

 

  1. Introduction to Python
  2. Tkinter GUI application
  3. Database Handling in Python
  4. Socket Programming
  5. How to create setup file of project
  6. Python Data Science
  7. Python object-oriented programming
  8. Exception handling in Python
  9. Lists and Tuples
  10. String, list, and dictionary manipulations
  11. File handling in Python
  12. Python object-oriented programming
  13. Functions, modules, and packages in Python
  14. Email sending automation
  15. Variables and Data Types in Python
  16. Program flow control using Python

 

 

 

Python’s development has been fast while different languages, like Ruby, have dropped in popularity. It is a no-brainer any program, be it from the past, present, or prospect is and will be written in a programming language. Python modules cooperate with a mixture of databases, making them an outstanding option for large-scale data analysis. Python is quickly becoming the world’s most prevalent coding language. On the Pypl (Popularity of Programming Language) list, Python is at the head and has progressed in reputation by almost 29% since 2018. On the Tiobe index of programming language notoriety, Python attained its highest ever rating of 8.53 percent in June 2019 but yet behind Java and C. At the contemporary rate, it is supposed that Python will transcend its rivals Java and C in the next three to four years. Python is the language of data specialists, web developers, and AI specialists. Python classes in Gandhidham, Gujarat Having a great grasp of Python is core to thriving in the fields correlated to data science and industrialization. Many experienced specialists are also studying Python to shift to the career path of machine studying and data science.If you wish for interactive learning, then there is no better place than python classes in Gandhidham, Gujarat. They first explain the theory in as few words as reasonable and then suggest you write code online applying that concept. Python classes in Gandhidham, Gujarat The most useful information is that you don’t need to do any setup like installing Python on your machine. You can move Python code directly from your browser. Another great thing is that you aren’t required to write a comprehensive program until you are available. You are required to make little changes and perform them. This is a fabulous and fun method to learn Python programming.

 

 

This Classes is greatly suited for

 

  1. Those who are curious in building their profession in Python
  2. Software Engineers
  3. Research Analysts
  4. Data Scientists
  5. Freshers who crave to master Python programming
  6. Software programmers
  7. IT Developers
  8. Big Data Professionals
  9. Web Developers

 

 

Python classes in Gandhidham, Gujarat – Python is a well-liked general-purpose programming language applied for both big and small-scale applications. With Python, you can determine how to connect web development and data analytics. Python’s widespread appropriation is due to its extensive standard library, simple readability, and patronage of various paradigms such as practical, procedural, and object-oriented programming techniques. Python modules cooperate with a mixture of databases, making them an outstanding option for large-scale data analysis. Python classes in Gandhidham, Gujarat Are you new to programming and want to learn Python? Today I’m presenting you with all the information regarding the Python language so you can learn about python and make an excellent career in this language. Python’s broad popularity and applicability mean more additional options for Python programmers. It also indicates that Python is an excellent language to learn if you like to split into the tech industry.

Python classes in Gandhidham, Gujarat – The Python programming language is oftentimes the best opportunity for introductory programs in data science and machine learning.

 

Job possibility after python Classes:

 

  1. Python Developer
  2. Data Scientist
  3. Financial Advisor
  4. Educator
  5. Data Analyst
  6. Data Journalist
  7. Product Manager
  8. Business Analyst

 

Python classes in Gandhidham, Gujarat – Intro to Python programming is a beginner-level Classes, which guides you on the fundamentals of the Python programming language. You will study to describe and store data utilizing Python data varieties and variables.Python’s uncomplicated, easy-to-learn syntax emphasizes readability and thus diminishes the cost of program maintenance. Python supports modules and packages, which enables program modularity and code reuse. Python classes in Gandhidham, Gujarat The Python interpreter and the comprehensive standard library are available in source or binary form without charge for all major media and can be freely dispersed.

Python has become one of the most widespread programming languages in the world in recent years. It is used in everything from machine learning to creating websites and software testing. Python classes in Gandhidham, Gujarat It can be utilized by developers and non-developers also. It is a general-purpose language, which implies it is designed to be used in a field of applications, including automation, software and web development, data science and normally getting stuff accomplished.

 

 

 

 

 

 

Python Classes in Gandhidham, Gujarat

Python is an easy, flexible and powerful general purpose programming language (which is especially suited for web development), but you should bear in mind that in order to become a web developer you must learn several different skills besides python. Python is the world’s fastest-growing and most popular programming language not just among software engineers but among data analysts, scientists, mathematicians, accountants, and even kids. No wonder. It’s an extremely user-friendly language. People from different disciplines use Python Classes in Gandhidham, Gujarat for a variety of tasks like data analysis and visualization, artificial intelligence and machine learning, testing, and automation — which is, in fact, one of the most common uses of Python. Python is also used to build web, mobile, and desktop applications. Python is a powerful programming language that can be used to create websites, drones, and machine learning algorithms, among other things. Python Classes in Gandhidham, Gujarat is used by a large number of developers and programmers because of its simple syntax and several advantages. Python allows you to construct nearly anything to meet your company’s needs. However, Python is a large language that requires careful study. Python is a powerful, open-source, high level and popular programming language. It is a simple, object-oriented, interpreted, and high-level programming language. It is mainly used for web development, scientific and mathematical application development, data science machine learning, and many more.

A Python Developer works on server-side development projects, coding, planning, delivering, and troubleshooting them (or back-end). However, they might be able to assist businesses with their technology infrastructure. The responsibilities of a Python Developer can be quite varied. You can be requested to develop an application for your boss, design the framework for your code, build tools as needed to complete the job, create websites, or launch new services.

Nowadays Python Classes in Gandhidham, Gujarat is in great demand and is also used by many famous companies such as YouTube, Instagram, Pinterest, and many others. Python provides very good library support and has a large developer community. It also provides integration with web series and GUI-based desktop applications.

Python Classes in Gandhidham, Gujarat is an interpreted high level universally useful programming language. Developed in the 1980s, by Guido Van Rossum, Python has been around for decades alongside other server-side languages like Java and C. van Rossum modelled Python after the English language, eliminating unnecessary syntax to make it easier to read and write than other programming languages. Its language builds just as its item arranged methodology plan to assist software engineers with composing clear, intelligent code for little and huge scope projects Python is a high-level programming language often used to build websites and software, automate tasks, and conduct data analysis. Python Classes in Gandhidham, Gujarat is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances. Python is an extremely useful language, which is used by various tech giants. Python Classes in Gandhidham, Gujarat  Python’s code and readability makes it very easy to understand and one can program huge programs with ease. Another great advantage of Python is its in-built modules and packages. One can even download more modules and packages according to the programmers’ requirements.

 

 

 

These skills are relevant to all high-level programming language developers:

 

  1. Decomposition – The ability to break a problem into smaller bits.
  2. Communications – Being able to communicate your ideas clearly and succinctly to clients, users and colleagues
  3. Team work and co-operation – Being able to work well with others and with clients & managers.
  4. Thoroughness – being thorough and diligent about your work
  5. Resourcefulness – Knowing where to get resources, help, and not afraid to ask
  6. Abstraction – The ability to see a problem in terms of a different (more solvable) problem.
  7. Organization – Being able to organize yourself and your work so that you and other can work with you.
  8. A Completer – Being willing to complete all parts of the work, including documentation and testing.
  9. A Re-user – be ready, willing and able to re-use other people’s code – don’t be precious; If it works and it is available for you to use it, then use it.

 

 

 

Perks of python are:

 

  1. Plenty of third-party packages for almost everything.
  2. Cross platform
  3. OOP by design.
  4. Some people find the indentation feature revolutionary. I personally hate it, and think whoever stripped my beloved C braces had a concussion when he did it.
  5. Very good for academic teaching and programming introduction Classess.
  6. Easy to read and pick on for newbies.
  7. Reasonably fast.
  8. Wide acceptance and large user base.

 

Job opportunities after python training

 

  1. Business analyst
  2. Product manager
  3. Data analyst
  4. Data scientist
  5. Financial advisor
  6. Python Developer
  7. Educator
  8. Data journalist

 

Python has the following applications:

 

  1. Data Analysis
  2. Automation
  3. Build Web Apps
  4. Artificial Intelligence
  5. Machine Learning
  6. Software testing

 

Who can join a python Classes?

 

  1. Automated engineers
  2. Data analyst
  3. Data scientist
  4. Web developers
  5. Networking professionals
  6. Desktop applications

 

skills needed to achieve your goal:

 

HTML, CSS

Web Frameworks

Django Or Flask

MVC-MVT Architecture

Server-Side development

Front end skills

Script Writing

Mathematics And Statistics

Libraries ( Matplotlib, Numpy, Pandas, Seaborn)

Machine Learning Algorithms

Applied Mathematics and Statistics

Libraries (Scikit-learn, Tensorflow, Keras)

Building Prediction Models

Problem Solving Skills

Neural Network Architecture

Natural Language Processing

Deep Learning

Data Visualization

Interpretation and Data Analysis

Manipulation of Data

Database Knowledge

Machine Learning And AI Concepts

Towards Data Science

 

 

Recommend you to understand the following:

 

  1. object oriented model and it’s advantages over procedure oriented model
  2. basics of object oriented model such as objects, encapsulation, inheritance, polymorphism etc.
  3. why do we write computer programs.
  4. procedure-oriented model and its advantages and disadvantages

 

Tips for Python Developer:

  1. Learn to love the standard library – take old code and refactor it to use all the things you now know about itertools, functools, collections and all of those other wonderful modules.
  2. Learn about decorators: What they are, how they work and how to write them. Write a real decorator; and then write a decorator that takes arguments. Write a decorator with a class. Write a decorator for a class
  3. If you aren’t using comprehensions to build lists, sets, dictionaries and generators, then why not?
  4. Get your head around classes and magic methods – not just a noddy Animal class that is subclassed to be a cat and a dog – I mean real working classes which do something novel and innovative yet (as an example) appear as a mapping, or an indexed container, or appear to be a number., and which is iterable (I don’t know what an iterable number would look like either – experiment).
  5. Learn about functional programming 101- think about how to use map, reduce and filter in your code, rather than for-loops.
  6. Explore on of the many major frameworks that work with Python : Django, pandas, scipy, sympy, numpy, matplotlib, twisted and many others. Write something potentially useful in one of them.

 

 

 

 

How to learn Python?

 

1) Coding regularly

2) Write it out

3) Go Interactive

4) Take Breaks

5) Become a Bug Bounty Hunter

6) Surround Yourself with Others Who Are Learning

7) Teach

8) Pair Program

9) Ask ‘GOOD’ Questions

10) Build Something

11) Contribute to Open Source

 

Python Syllabus

………………………

Module 1: Python Programming (Compulsory)

An Introduction to Python

Why Python, its Unique Feature and where to use it?

Python Environment Setup

Discuss about IDE’s like IDLE, PyCharm and Enthought Canopy

Start programming on an interactive shell.

Python Identifiers, Keywords

Discussion about installed modules and packages

Access Command line arguments within programs

Conditional Statement, Loops, and File Handling

Python Data Types and Variable

Condition and Loops in Python

Decorators

Python Modules & Packages

Python Files and Directories manipulations

Use various files and directory functions for OS operations

Python Core Objects and Functions

Built in modules (Library Functions)

Numeric and Math’s Module

String/List/Dictionaries/Tuple

Complex Data structures in Python

Arbitrary data types and their Data Structure

Python built-in function

Python user-defined functions

Python packages and functions

The anonymous Functions – Lambda Functions

Object Oriented Python

OOPs Concepts

Object, Classes and Destroying Objects

Accessing attributes, Built-In Class Attributes

Inheritance and Polymorphism

Overriding Methods, Data Hiding

Abstraction and Encapsulation

Regular Expression

Regular Expressions

What are regular expressions?

The match and search Function

Compile and Matching

Matching vs Searching

Search and Replace feature using RE

Extended Regular Expressions

Wildcard characters and work with them

Multithreading

Multithreading with Python

What is Multithreading?

Starting a New Thread

The Threading Module

Synchronizing Threads

File Handling

Writing data to a file

Reading data from a file

Read and Write data from CSV file

OS module

Rename and Removing files, directories

Exception Handling in Python

Exceptions Handling

Handling various exceptions using try….except…else

Try-finally clause

The argument of an Exception and create a self Exception Class

Python Standard Exceptions

Raising an exceptions, User-Defined Exceptions

Debugging Python Programs

Debug Python programs using pdb debugger

Assert for debugging

Testing with Python using UnitTest

Iterable and generator in Python

Yielding from the generators

Standard project setup in Python

Modules & Packages

Modules

How to import a module?

Packages

How to create packages

Database Handling

Create Database Connection

Creating and accessing SQLite database

Python with MySQL Database

Creating Database table

CRUD operation on database

Performing Transactions

Handling Database Errors

Disconnecting Database

Module 2: Advanced Python Programming(Compulsory to Complete Python)

Basics of Web Page Creation

Understanding of basic HTML /CSS

HTML Header, paragraph

Various tag for button, label and combo-box

Creation of forms in HTML

Django Framework

Introduction to Django

MVT Architecture

How to create Django App

Url Mapping

Templates

Introduction to static file

Django Model Overview

Creating model

Model template view creation

Django forms and validation

Relative Url with Template

Interacting with a Database: Models

Overview of Models

Creating Models

Configuring the Database

Your First App

Using Django with MySQL.

Models-Templates-Views Paradigm

Inserting and Updating Data

The Django Administration Site

Activating the Admin Interface

Using the Admin Interface

Users, Groups, and Permissions

Selecting an Objects

Deleting an Objects

Views and Templates

URL Template Inheritance

Template Inheritance Coding Example

Quick Note on Custom Template Filters

Template Filters and Custom Filters

Template Filters Coding Examples

Django Passwords

Deploying Django Framework

Form Processing

Django Forms

Form Validation

Model Forms

Relative URLs with Templates

Relative URLs Coding Examples

Project Work

Discussion on Overview and requirements of Project

Creation a Web-based Application

Module 3: Python for Data Science (Different Classes, it is delivered Separately) Mathematical Statistics

Fundamentals of Data Science and Machine Learning

Introduction to Data Science

The need for Data Science

BigData and Data Science’

Data Science and Machine Learning

Data Science Life Cycle

Data Science Platform

Data Science Use Cases

Skill Required for Data Science

Mathematics For Data Science

Linear Algebra

Vectors

Matrices

Optimization

Theory Of optimization

Gradients Descent

Introduction to Statistics

Descriptive vs. Inferential Statistics

Types of data

Measures of central tendency and dispersion

Hypothesis & inferences

Hypothesis Testing

Confidence Interval

Central Limit Theorem

Probability and Probability Distributions

Probability Theory

Conditional Probability

Data Distribution

Binomial Distribution

Normal Distribution

Machine Learning

Python for ML along with Module1

Introduction to NumPy

Array Operations

Arrays Functions

Array Mathematics

Array Manipulation

Array I/O

Importing Files with NumPy

Data Manipulation with Pandas

Data Frames

I/O

Selection in DFs

Retrieving in DFs

Applying Functions

Reshaping the DFs – Pivot

Combining DFs

Merge

Join

Data Alignment

SciPy

Matrices Operations

Create matrices

Inverse, Transpose, Trace, Norms , Rank etc

Matrices Decomposition

Eigen Values & vectors

SVDs

MatPlotLib

Basics of Plotting

Plots Generation

Customization

Store Plots

SciKit Learn Basics

Data Loading

Train/Test Data generation

Preprocessing

Generate Model

Evaluate Models

Machine Learning

Exploratory Data Analysis

Data Exploration

Missing Value handling

Outliers Handling

Feature Engineering

Feature Selection

Importance of Feature Selection in Machine Learning

Filter Methods

Wrapper Methods

Embedded Methods

Machine Learning: Supervised Algorithms Classification

Introduction to Machine Learning

Logistic Regression

Naïve Bays Algorithm

K-Nearest Neighbor Algorithm

Decision Tress (SingleTree)

Support Vector Machines

Model Ensemble

Bagging

Random Forest

Boosting

Gradient Boosted Trees

Model Evaluation and performance

K-Fold Cross Validation

ROC, AUC etc…

Machine Learning: Regression

Simple Linear Regression

Multiple Linear Regression

Decision Tree and Random Forest Regression

Machine Learning: Unsupervised Learning Algorithms

Similarity Measures

Cluster Analysis and Similarity Measures

K-Mean Clustering

Hierarchical means Clustering

Principal Components Analysis

Association Rules Mining & Market Basket Analysis

Text Mining

Basics

Term Document Matrix

TF-IDF

Twitter Sentiment Analysis

Project Work

Machine Learning end to end Project blueprint

Regression predictive modeling – House Price Prediction

Classification predictive modeling – Binary Classification

Widespread coverage for each Topic

Various Approaches to Solve Data Science Problem

Pros and Cons of Various Algorithms and approaches

Module 4: Python for Automation Testing (Different Classes, it is delivered Separately) Basic Selenium

Introduction to Selenium

Introduction to Automation Testing

Why Automation Testing

Introduction to Selenium components

History and various versions of Selenium

What is Selenium 3.0

Advantages of using Selenium over other tools.

Installation and setting up the environment

Installation of Python

Automation Setup for Selenium Web Driver

Install and Configure PyDev in Eclipse

Selenium-IDE

Introduction

IDE Features

Building & Running Test Cases

Building and Running Test Suites

Selenium Web Driver 2.0

Why Selenium Web Driver

What is a Driver

Download & configuring Web Driver

Architecture of Selenium web Driver

Drivers for Firefox, IE, Chrome

Identification of Locators

Tools to identify elements/objects

Different methods of finding an element

By ID, By name, class

By Xpath, By Tag name

By Link text

By CSS

Using Effective X-path

Selenium Commands

Various types of operation that can be

performed on any elements and how to use them.

Browser Commands, Navigation Commands

Working with a different browser

Handling Checkbox, RadioButton

Dropdown and Select Operations

Capturing Screenshots

Handling Keyboard Event and Mouse Event

Multiple Window Handling

Alert & Pop Up Handling.

Wait Commands in Selenium

Implicit Wait

Explicit Waits, Expected Conditions

Advanced Selenium

Framework Designing

What is Framework

Different Types of Framework.

How to Design a framework?

Data-Driven Framework using Excel

Reading and writing data from Excel

Executing Testcases from Excel

PyTest Framework

Introduction to PyTest framework

Installing PyTest

PyTest Fixtures

Parametrized Test Functions

Running multiple tests using PyTest

Generating Test report

Unit Test Framework PyUnit

Basic of pyunit

PyUnit Installation

PyUnit annotation

Test Case creation

Test Case execution

Assertions/Reporting Errors

Suite execution

PyUnit Reports

Using PyUnit in Selenium

POM Framework

Advantages of POM

How to implement

Using Page Object and Page Factory

Continuous Build Integration tools- Jenkins

What is Jenkins and how to use it

Installation and configuration of Jenkins

Module 5: Python for Web Development (Different Classes, it is delivered Separately) This Classes has mandatory sections i.e. Module 1 & 2

Front End Technologies

HTML

Introduction and Basic Structure of HTML

Basics, Elements, Attributes

Paragraphs and Formatting

HTML Skeleton, Links, Images

HTML Tables, Blocks

HTML Lists, Quick List

HTML Blocks

HTML Layouts & Forms, IFrames

HTML Colors

CSS

Introduction

Syntax

Id & Class

Backgrounds

Text and Fonts

Links and Lists

Box Model

Advanced Topics

Dimensions, Display

Positioning, Floating

Align

JavaScript

Introduction

Statements & Comments

Variables

Operators and Comparisons

Conditional Statements and Loops

User Defined Functions

JS Objects

JS Validations

Bootstrap

What is Bootstrap and its Setup

How to Create a Layout in Bootstrap

Grid Classes

Basic Tags in Bootstrap

Contextual colors and backgrounds

Table in Bootstrap

Bootstrap Basic Tables

Striped Rows, Hover Rows

Bordered Table, Condensed Table

Responsive Tables

Navigation bar in Bootstrap

Inverted Navigation Bar

Fixed Navigation Bar

Navigation Bar with Dropdown

Right-aligned Navigation Bar

Collapsing the Navigation Bar

Form & Buttons in Bootstrap

Vertical Form

Horizontal Form

Inline Form

Block Level Buttons

Active/Disabled Button

Database Handling with Python

Python MySQL Database Access

Create Database Connection

DML and DDL Operations with Databases

Performing Transactions

Handling Database Errors

Disconnecting Database

Database Handling with NoSQL DB

SQL vs NoSQL

MongoDB

PyMongo

Establishing a Connection

Accessing Database

DML and DDL Operations

Project Work

User Login and Registration site

Create an online Test evaluation system for Institute

Building an E-commerce site in Django