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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.
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Flexible Demo Class Available
Opportunity to attend a demo session and experience the training style before enrolling.
Completed 400+ Batches
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Live Practical Sessions (if needed)
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Peaceful Environment
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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
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