Advanced Python

Python is a popular high-level programming language that has seen exponential growth in its usage and demand in recent years. Python has evolved as one of the most widely used programming languages because of its simplicity, readability, and versatility. Python’s unique features have made it a sought-after skillset for developers, data scientists, and software engineers. Python has become a popular language for automating tasks, web development, data analysis, machine learning, artificial intelligence, and more. As such, the demand for Python developers has grown considerably, leading to an exciting job market. In Xplore IT Corp’s Full Stack Python Training gives you all what is required to get job as a Full Stack Python Developer in any industry.

Python is used in many industries such as finance, healthcare, retail, and technology. In finance, Python is used for quantitative analysis and trading, data analysis and visualization, and risk management. In healthcare, it is used for patient data analysis, drug discovery, and medical image processing. In retail, Python is used for supply chain management, forecasting, and customer analytics. In technology, Python is used for web development, cybersecurity, and artificial intelligence.

What will be learnt in Full Stack Python Training

Python developers can choose from various career paths, such as web development, data science, machine learning, artificial intelligence, and more. Web developers use Python to develop web applications, such as Django and Flask, which are popular web frameworks. Our Fullstack Python training is absolutely beginner friendly and covers all aspects of Full Stack Python Training and hence it is a must for all the job seekers. Data scientists use Python to analyse data, create visualizations, and build predictive models. Machine learning engineers use Python to build models that can learn from data and make predictions. Artificial intelligence engineers use Python to develop intelligent systems that can perform tasks that would typically require human intelligence.

Python developers must understand data structures, algorithms, and object-oriented programming. They must also be proficient in Python programming, including knowledge of libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Python developers must be familiar with various databases such as SQL, NoSQL, or MongoDB. They must also have knowledge of cloud platforms such as AWS or Google Cloud or and Azure. Xplore IT Corp has an advanced certification program which covers Python Training and AWS Training combined in a single program where you will be able to learn cloud and programming practices. In our Full Stack Python Training curriculum covers all layers of full stack training and which enables the candidates to get a hand on all technologies.

Why Full Stack Python Training

The job market for Python developers is not limited to traditional companies. Many startups and small businesses are also adopting Python to build their products and services. This has created opportunities for Python developers to work on exciting new projects, and even start their businesses.

Python developers can work in various roles, such as software developer, data scientist, machine learning engineer, artificial intelligence engineer, and more. They can work in various industries, such as finance, healthcare, retail, and technology. They can work for large corporations or small businesses, and even freelance or start their companies. The job market for Python developers is vast and has many opportunities for growth and advancement.

The job market for Python developers is expected to grow as more companies adopt Python. According to a report by the TIOBE Index, Python has been the top programming language for three consecutive years, and it continues to grow in popularity. This demand has resulted in a significant number of job openings for Python developers. According to Glassdoor, the average salary for a Python developer in the US is $116,000 per year. Hence candidates who are ready to explore vast industries and work culture should get Python training and build their technical career.

Full Stack Python Training or Full Stack course will be suitable to

Beginners or Freshers who are seeking a job in IT

Cloud Engineers who want to upgrade their programming skills

Professionals who want to update a new skill

Front End Developers who want to move to the next level

School or College students


  • History
  • Features
  • Setting up path
  • Working with Python scripts
  • Basic Syntax
  • Variables and Data Types in scripting
  • Operators
  • If , If- else, Nested if-else statements
  • For, While loops
  • Nested loops
  • Control Statements
  • Accessing Strings
  • Basic Operations
  • String slices
  • Function and Methods
  • Accessing list
  • Operations
  • Working with lists
  • Function and Methods
  • Accessing tuples
  • Operations
  • Working
  • Functions and Methods
  • Accessing values in dictionaries
  • Working with dictionaries
  • Properties
  • Functions
  • Defining a function
  • Calling a function
  • Types of functions
  • Function Arguments
  • Anonymous functions
  • Global and local variables
  • Importing module
  • Math module
  • Random module
  • Packages
  • Composition
  • Printing on screen
  • Reading data from keyboard
  • Opening and closing file
  • Reading and writing files
  • Functions
  • Exception
  • Exception Handling
  • Except clause
  • Try ? finally clause
  • User Defined Exceptions
  • Class and object
  • Attributes
  • Inheritance
  • Overloading
  • Overriding
  • Data hiding
  • Match function
  • Search function
  • Matching VS Searching
  • Modifiers
  • Patterns
  • Architecture
  • CGI environment variable
  • GET and POST methods
  • Cookies
  • File upload
  • Connections
  • Executing queries
  • Transactions
  • Handling error
  • Socket
  • Socket Module
  • Methods
  • Client and server
  • Internet modules
  • Thread
  • Starting a thread
  • Threading module
  • Synchronizing threads
  • Multithreaded Priority Queue
  • Tkinter Programming
  • Tkinter widgets
  • Mail Communication in python scripts


  • What is Django?
  • DRY programming: Don’t Repeat Yourself
  • How to get and install Django
  • Setting up database connections
  • Managing Users & the Django admin tool
  • Django URL Patterns and Views
  • Designing a good URL scheme
  • Generic Views
  • Django Forms
  • Form classes
  • Validation & Authentication
  • Advanced Forms processing techniques
  • Unit Testing with Django
  • Using Python’s unittest2 library
  • Test
  • Test Databases
  • Scrapy – Overview
  • Scrapy – Environment
  • Scrapy – Spiders
  • Scrapy – Item Pipelines
  • Scrapy – Link Extractors
  • Scrapy – various output consoles
  • Define item
  • First spider project
  • Crawling Content
  • Extracting item
  • Scraped data
  • What is Flask?
  • Flask – Overview
  • Flask – Environment
  • Flask – Application
  • Flask – Routing
  • Flask – Variable Rules
  • Flask – URL Building
  • Flask – SQLite
  • Flask – SQLAlchemy
  • The core: Image – load, convert, and save
  • Smoothing Filters A – Average, Gaussian
  • Smoothing Filters B – Median, Bilateral
  • OpenCV 3 with Python
  • Image – OpenCV BGR: MatplotLIB
  • Basic image operations – pixel access
  • iPython – Signal Processing with NumPy
  • Signal Processing with NumPy I – FFT and DFT for sine, square
  • waves, unitpulse, and random signal
  • Signal Processing with NumPy II – Image Fourier Transform: FFT & DFT
  • Inverse Fourier Transform of an Image with low pass filter: cv2.idft()
  • Image Histogram
  • Video Capture and Switching colour spaces – RGB / HSV
  • Adaptive Thresholding – Otsu’s clustering-based image thresholding
  • Edge Detection – Sobel and Laplacian Kernels
    Canny Edge Detection
  • Hough Transform – Circles
  • Watershed Algorithm: Marker-based Segmentation I
  • Watershed Algorithm: Marker-based Segmentation II
  • Image noise reduction: Non-local Means denoising algorithm
  • Image object detection: Face detection using Haar Cascade Classifiers
  • Image segmentation – Foreground extraction Grabcut algorithm
  • based on graph cuts
  • Image Reconstruction – Inpainting (Interpolation) – Fast Marching Methods


The duration of this course will be of 2 month, with 1-2 hour sessions each day for a total of 80 hours.


Certificate of Merit for all the participants.
At the end of this course, an assessment will be organized among the participating candidates, and front-runners will be awarded a ‘Certificate of Excellence


Anyone interested can join this course

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