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Why Study Python?

Python is one of the most popular and versatile programming languages in the world. Whether you’re a beginner or an experienced developer, learning Python can open doors to exciting career opportunities.

Benefits of Learning Python

✨  Easy to Learn & Use – Python has a simple and readable syntax, making it beginner-friendly.
✨  High Demand & Career Growth – Python developers are in high demand across various industries.
✨  Versatile Applications – Used in web development, data science, AI, machine learning, automation, and more.
✨  Strong Community Support – A vast community and numerous libraries make coding easier.
✨  Lucrative Salary Packages – Python professionals earn competitive salaries worldwide.

Future Scope of Python

Python is shaping the future of technology. Here’s where Python is making a big impact:

✨   Artificial Intelligence & Machine Learning – Python is the top choice for AI and ML development.
✨   Data Science & Analytics – Used by data scientists for analyzing and visualizing large datasets.
✨   Cybersecurity – Essential for ethical hacking and security automation.
✨   Web Development – Frameworks like Django and Flask power modern web apps.
✨   Automation & Scripting – Saves time by automating repetitive tasks.
✨   Cloud Computing & IoT – Plays a crucial role in managing cloud infrastructure and IoT devices.

Kickstart Your Career with Python!

With its endless applications and growing demand, Python is the key to a successful tech career. Enroll in a Python course today and step into a world of innovation and opportunity! 

key features

Course Duration : 40 hours

Intensive, focused training designed to quickly upskill you in a short timeframe.

100% Job-Oriented Training

Curriculum tailored to industry requirements, ensuring you gain the skills employers are looking for.

Industry Expert Faculties

Learn from seasoned professionals with real-world experience.

Flexible Demo Class Available

Opportunity to attend a demo session and experience the training style before enrolling.

Completed 400+ Batches

Proven track record with hundreds of successful batches, demonstrating program reliability and effectiveness.

Certification Guidance

Support throughout your journey to help you earn relevant certifications that boost your career.

Live Practical Sessions (if needed)

Hands-on, interactive sessions to reinforce learning and apply concepts in real-time.

Peaceful Environment

A conducive learning atmosphere that helps you focus and maximize your learning potential.

Syllabus of Python Training

  • Need for programming
  • Advantages of programming
  • Overview of python
  • Organizations using python
  • Python Applications in
  • various domains
  • Variables
  • Operands and expressions
  • Conditional statements
  • Loops
  • Structural pattern matching
  • Accepting user input and eval function
  • Files input/output functions
  • Lists
  • Tuples
  • Strings manipulation
  • Sets and set operations
  • Python dictionary
  • Concept of Object Orientation
  • Attributes, and Methods
  • Classes and Objects
  • Methods and Constructors
  • Default Constructors and
  • Constructors with Arguments
  • Inheritance
  • Abstract
  • Final
  • Static
  • User-defined functions
  • Function parameters
  • Different types of arguments
  • Global variables
  • Global keyword
  • Lambda functions
  • Built-in functions
  • Object-oriented concepts
  • Public, protected and private
  • attributes
  • Class variable and instance
  • variable
  • Constructor and destructor
  • Inheritance and its types
  • Method resolution order
  • Overloading and overriding
  • Getter and setter methods
  • Standard libraries
  • Packages and import
  • statements
  • Reload function
  • Creating a module
  • Important modules in
  • python
  • Sys module
  • OS module
  • Math module
  • Date-time module
  • Random and JSON module
  • Regular expression
  • Exception handling
  • Basics of data analysis
  • NumPy – Arrays
  • Array operations
  • Indexing, slicing, and Iterating
  • NumPy array attributes
  • Matrix product
  • NumPy functions
  • Array manipulation
  • File handling using NumPy
  • Introduction to Pandas
  • Data structures in Pandas
  • Series
  • Data Frames
  • Importing and exporting files
  • in Python
  • Basic functionalities of a data
  • object
  • Merging of data objects
  • Pivoting a dataframe
  • Concatenation of data objects
  • Types of joins on data objects
  • Data cleaning using Pandas
  • Exploring datasets
  • Matplotlib library
  • Seaborn
  • Line plots
  • Multiline plots
  • Bar plot
  • Histogram
  • Pie chart
  • Scatter plot
  • Boxplot
  • Saving charts
  • Customizing visualizations
  • Saving plots
  • Grids
  • Subplots
  • Heatmaps
  • Ipywidgets package
  • Numeric widgets
  • Boolean widgets
  • Selection widgets
  • String widgets
  • Date picker
  • Color picker
  • Container widgets
  • Creating a GUI application
  • Ipywidgets package
  • Numeric widgets
  • Boolean widgets
  • Selection widgets
  • String widgets
  • Date picker
  • Color picker
  • Container widgets
  • Creating a GUI application
  • Use of Folium library
  • Use of Pandas library
  • Flow Chart of web map application
  • Developing web map using Folium and Pandas
  • Reading Information from titanic dataset and represent It using plots
  • Beautiful Soup library
  • Scrapy
  • Requests library
  • Scrap All hyperlinks from a webpage using Beautiful Soup and Requests
  • Plotting charts using Bokeh
  • Plotting scatterplots using Bokeh
  • Image editing using OpenCV
  • Face detection using OpenCV
  • Motion detection and capturing video
  • Basics of database
  • management
  • Python MySql
  • Create database and table
  • Insert into table
  • Select query
  • Where clause
  • OrderBy clause
  • Delete query
  • Drop table
  • Update query
  • Limit clause
  • Join and Self-Join
  • MongoDB (Unstructured)
  • Insert_one query
  • Insert_many query
  • Update_one query
  • Update_many query
  • Create_index query
  • Drop_index query
  • Delete and drop collections
  • Limit query

Upcoming Batches

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Mon-Fri

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Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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Mon-Fri

Weekdays Regular

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(Class 1Hr - 1:30Hrs) / Per Session

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