Course Detail

• Python 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?

• Introduction to Python (PPT)
• Introduction to Python
• Anatomy of Python
• How does Python work?
• Career in Python Technulogies and Job Rules

• 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)

• Looping
• 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 __init__.py

• 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

• 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

• HIGHER ORDER FUNCTIONS
• sorted(), map(), reduce() & filter()

• DECORATORS
• 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

• Networking
• 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

• 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
• Add DRF to INSTALLED_APPS
• Adding REST_FRAMEWORK in settings.py
• 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 settings.py
• Generating APIs Docs
• Test browsable APIs using drf-yasg’s url

• Publishing Django Web Application
• Deploy on GitHub
• Deploy on pythonanywhere
• Collect Static Files

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:

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.

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.

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.

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.