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    Python Training Course Objectives

    • Introduction to Python
    • Anatomy of Python
    • How does Python work?
    • Career in Python Technulogies and Job Rules
    • Potential of Python
    • How Desktop Apps Created?
    • What is Server-Side Scripting?
    • How to Deal with Database
    • Understand the working of any GUI Software
    • Software making Process
    • Working with System Programmatically
    • How to interact with Files
    • Creating your own Python Packages
    • Dealing with Exceptions and Errors
    • Emailing with Python
    • Data Analysis with NumPy & Pandas
    • How to create your own executable Software?
    • Interacting with csv files
    • Data Visualization with matplotlib
    • Anatomy of client-server architecture.
    • Creating a Chat App
    • Web Scrapping & Web Automation
    • How to work with JSON data?
    • How does website backend work with the frontend?

    Python Development Course Syllabus

    Core Python

    Introduction to Python (PPT)
    • History & Installation of Python
    • Python Shell & IDLE
    • First Python Program
    • Types of Mode to Run Program
    Fundamentals of Python
    • print() and input() Functions
    • Variables, Datatypes & Operators
    • Type Casting Constructors
    • id() and type() Functions
    Datatype in Detail
    • String Formatting & Manipulation
    • Collection Datatypes with Its Methods
    • Mutability of list & tuple
    • Shallow & Deep Copy
    • Type Casting and del Keyword
    Control Structure
    • Types of Control Structure
    • Short Hand Syntax (Ternary)
    • Types of Loops
    • range() Function
    • Control Statements
    • List Comprehension
    • Nested Loop
    Function in Detail
    • Built-in Functions
    • UDF
    • *args, **kwargs and __doc__
    • Function Recursion
    • Anonymous / Lambda Function
    • global keyword
    • Return Multiple Values
    Array & Sorting
    • 1D & 2D Array with List
    • Sorting Collection Datatypes
    Object Oriented Programming (OOP)
    • Class & Object
    • Self & del Keyword
    • Constructor and Destructor
    • Encapsulation
    • Nested Function
    • Reflection Enabling Functions
    Inheritance & Polymorphism
    • Types of Inheritance
    • Method Overloading & Method Overriding
    • issubclass() and super()
    • Built-in Dunder Methods
    • Operator Overloading
    Exception Handling
    • try … except
    • try … except … else
    • try … except … finally
    • try … except … else … finally
    • Custom exception
    • raise & assert keyword
    File Handling
    • Modes of Opening File
    • I/O Operation with File
    Working with Modules
    • datetime module
    • time module
    • math module
    • random module
    • uuid module
    Modules and Packages
    • Creating, Importing & Renaming modules
    • __name__ with __main__
    • Creating & Using Package
    • dir() and
    Regular Expression (RegEx)
    • re module
    • Getting Specific Pattern-wise Data
    Command Line Argument (CLA)
    • sys module
    • sys.argv
    Pip – Package Manager & Database Interaction (with MySql)
    • What is SQL?
    • SQL Queries
    • Intro to XAMPP (phpMyAdmin)
    • CRUD Operation with XAMPP (phpMyAdmin)
    • Downloading and Installing Package
    • mysql-connector module
    • CRUD Operation with Python’s mysql.connector
    GUI with Tkinter
    • tkinter module
    • tkinter widgets
    • tkinter geometry
    • Binding functions
    • Mouse clicking events
    • messagebox()
    • Types of pop-up box
    • PhotoImage()
    • pillow library
    • Display image using pillow library

    Advance Python

    Ios & subprocess Module
    • Basic Terminal Commands
    • os module
    • subprocess module with call() & Popen()
    Multithreading & Email
    • What is Thread in a Process?
    • threading module
    • Working of Email sending through Internet
    • smtplib module
    • email Package
    Iterators, Generators & Closures
    • __iter__() & __next__()
    • iter() & next()
    • yield Keyword
    • Generator Function
    • Generator Object
    • global, local & nonlocal Variables
    • sorted(), map(), reduce() & filter()
    • Simple Decorator
    • Chaining Decorator
    • @classmethod & @staticmethod
    • property() & @property
    Virtual Environment
    • virtualenv
    • venv
    • requirements.txt
    • pipenv
    Working with Editors & Idle
    • Sublime Text 3
    • VS Code
    • Anaconda Navigator
    • PyCharm IDE
    Data Analysis with NumPy
    • NumPy Library
    • NumPy Datatypes
    • Array Indexing
    • Array Math & Broadcasting
    • 1D & 2D Array
    • Arithmetic Operations on 2D Array
    Hot Modules of Python
    • qrcode Library
    • pyinstaller Library
    • csv module
    Data Analysis with Pandas
    • Pandas Library
    • Data Structure
    • Operations on DataFrames
    • Handling Missing Data
    • Boolean Reductions
    • Combining DataFrames
    • pivoting, sorting & aggregation
    • Descriptive Statistics
    • Types of Function Application
    • groupby() & transform()
    • Re-indexing& Altering Labels
    Data Visualization
    • matplotlib Library
    • Types of Charts with pyplot
    • What is Socket & Port?
    • What is Client & Server
    • socket module
    • Socket Programming
    Web Scrapping
    • requests Library
    • beautifulsoup Library
    Web Automation
    • selenium Library
    • Different Browser’s WebDrivers
    JSON Parsing
    • What is JSON?
    • json module
    • Serialization & Deserialization of Data
    • Read and Write JSON data with File
    • Working with Live JSON API Data
    Introduction to Web Development
    • Basic HTML
    • What is Framework
    • Installing Flask Microframework and Run First Web App
    • Routing and Variable Rules
    • URL Building
    • HTTP Methods
    • Templates
    • Static Files
    • Sending Form Data to Template
    • File Uploading

    Django Web Development

    Introduction to Django Framework (PPT)
    • What is a Web Framework?
    • MVT Architecture
    • Setup Virtual Environment
    • Installing Django
    • Exploring Directory Structure
    • Creating First Django Project
    Setting-up Django Web App
    • Creating First Django App
    • Understanding URL Routing
    • Handling Different Views
    • Running Web App on Server
    Templates with DTL (Django Template Language)
    • Setup Template directory’s Path
    • Creating and Rendering Templates using URL Routings *
    • Passing Context in Multiple Templates
    • Using DTL to load context in Template
    • Tags, Variables & Filters
    • Template Inheritance
    Form Handling
    • Raw HTML Form
    • Pure Django Form
    • Form Widgets
    • Display Form to Multiple Templates
    URL Routing
    • Dynamic URL Routing
    • Creating and Linking Multiple Apps
    • In App URL Routing & Namespacing
    • Django URLs Reverse
    Views and Mixins
    • FBV (Function Based Views)
    • CBV (Class Based Views)
    • Convert FBV to CBV
    • Custom Mixins for CBV
    Static File Handling
    • Setup static and media directory’s Path
    • Adding Bootstrap for Frontend Enhancement
    • Collect Static Files
    Working with Models
    • Django Database Models
    • Model Fields
    • Model Inheritance
    • Add an App to INSTALLED_APPS
    • Migrating Models to Database
    • Update Models and Migrate
    DAP (Django Admin Panel)
    • Creating Superuser
    • Exploring DAP
    • Manage Superuser
    • CRUD Operations with DAP
    • @admin.register()
    • Customizing DAP
    ORM (Object Relational Mapper)
    • Using Django python-shell
    • Using ORM to deal with Database
    • CRUD Operation using ORM
    • Retrieve Data using Filters
    Dynamic Templates
    • Dynamic Webpages
    • Retrieve Data using QuerySets
    • Passing context to Template
    Form Validation
    • Django ModelForm
    • Form Validation Methods
    • Setting initial values for Forms
    Working with Another Database
    • Integrating MySQL Database
    • Using XAMPP for Database Interaction
    User Authentication
    • @login_required decorator for FBV
    • LoginRequiredMixin for CBV
    • login(), logout() and authenticate() methods
    • get_object_or_404() method
    Creating APIs Using DRF (Django Rest Framework)
    • Intro and Installing DRF
    • Adding REST_FRAMEWORK in
    • What is Serializer and Deserializer?
    • Serializer Class and ModelSerializer Class
    • APIs using Serializers, FBV, CBV, Model Mixins and Generic API Views
    Testing Browsable APIs
    • Using DRF’s URL
    • Using Postman
    Routing and Authentications in DRF
    • Types of ViewSets
    • Types of Routers
    • authentication_classes and permission_classes properties
    Documenting APIs
    • Using drf-yasg package
    • Integrating drf-yasg into
    • Generating APIs Docs
    • Test browsable APIs using drf-yasg’s url
    Publishing Django Web Application
    • Deploy on GitHub
    • Deploy on pythonanywhere
    • Collect Static Files

    Python Training Course Overview

    We Are One Of The Top Python Training Provider In Surat.

    We offer 100% job guarantee after completing the course.
    Get the best Python training in Surat. All of our Python trainers are highly experienced IT professionals and love to share their practical knowledge with students.
    This course is designed to meet all levels of student requirements. Our Python trainers understand the need for a fresher and a working professional.
    Our trainers will make sure you learn and understand all aspects of the content of the python course. They provide one-on-one care by listening to each student. We will ensure that you get a job in the field of python developing at least Rs. 8000 per month as soon as you complete the course.

    Best Python Training Institute In Surat

    We mainly focus on the present scope and real-time requirements of Python developing. Each session of the module will boost your developing skills. Real-time projects and assignments will be assigned to you to monitor and enhance your developing ability very accurately.
    On successful completion of course, you will definitely get a job.

    What Are The Prerequisites For Python Course?

    Basic knowledge of C and C++ is good to start learning with, also you have core logical building and problem-solving ability.
    You don’t need any degree or diploma to secure a job, nowadays companies are not specifically asking for a degree or diploma.

    Other Benefits Of Learning Python Are:

    Always in demand We live in the era in which all peoples and companies are most likely want to work with powerful and sufficient technology that led them to their desired plans. Python has all the required facilities to fulfil the modern requirement of great developing structure and provide the best service. By learning Python, you secure your present and future career options with amazing possibilities that led you to a great future career.
    You can be your own Boss By learning Python, you are able to create such projects and real-time applications that will enhance your portfolio potential and you are ready for the best career option. But what if you want to make your own business. Well, that is also possible with Python. With Python in your side, you can also start your own business and freelancing for extra income.
    Best for Data Analysis, ML/AI Without any doubt, we all know that Python is the best language to work in gigantic IT fields like Data Analysis, Machine Learning, Artificial Intelligence, Web Development, Desktop Development and Server-Side scripting with System Development. Among all competitors, Python proves it’s the worth of choice. If you want to go in these big fields in near future than Python is a great choice to start with.
    Unleash the True Potential You are not limited to develop for only specific areas. Since Python is multi-purpose language, you can develop almost in any IT sector such as Software development, Data Science, Web Automation, Web Scrapping, Internet of Things (IOT), etc. By developing in some of these fields, you can unleash your true potential with python, by far the most popular and trending programming language.


    If you want to work as a Python Developer then this course is for you. If you are a fresh graduate or want to change your domain in IT field, then you can do this course. We believe that you have the right to choose the career path of your choice.

    To secure your future career options with amazing prospects in almost every IT field.

    Of course, we are sure that you will learn something from this course.

    You should have knowledge about basic C & C ++ programming. But if you do not have a good grip in it, you can still enroll in this course.

    We accept both traditional process and online process. You can also pay fees with the help of EMI.

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