Instructor Led Training - Online
EXCEL IN PYTHON PROGRAMMING
Learn cutting-edge tools and practices to streamline collaboration, automate workflows, and enhance the efficiency of your IT operations
- Flexible Schedules
- Live Training
- Real Time Projects
CubenSquare
Python Training
Overview
Python training provides a comprehensive understanding of the Python programming language. The curriculum typically covers fundamentals like syntax, data types, and control structures, progressing to advanced topics such as object-oriented programming, web development, and data manipulation. Practical exercises and projects help reinforce learning. Python training is suitable for beginners and experienced programmers, offering skills applicable in various domains, including web development, data science, and automation.
A versatile tool empowering developers to shape ideas, automate tasks, and build solutions that transcend the boundaries of possibility
40 Hrs Instructor-Led Training
Doubt resolving sessions
Learning Materials
Assignments and Projects
Flexible Schedule
Job Assistance
Python’s clear syntax and readability make it accessible for beginners, fostering an easy entry into programming.
Python is widely used for web development, with frameworks like Django and Flask, enabling rapid and scalable application development.
Absolutely. Python’s rich ecosystem, including libraries like NumPy and TensorFlow, makes it a go-to language for data science and machine learning.
Learning Python enhances career prospects across various domains, including software development, data analysis, artificial intelligence, and cybersecurity.
Python is a preferred language in cybersecurity for tasks like penetration testing, scripting, and developing security tools.
Python’s simplicity, versatility, and extensive libraries set it apart, making it a versatile language suitable for a wide range of applications.
Course Content
- Python Intro
- Python Basics
- Data Types
- Conditional Statements
- Loops
- Functions
- Python OOPS
- Python Modules
- File Handling
- Boto3 Python SDK
- Python Numpy
- Python MySQL
- Python Web Development- Flask
- Introduction to machine learning
- Final Project
- Interview Q & A
- What is Python
- Python Market Trends
- Python Role & Skills
- Installing Python
- Python Console
- Statements
- Variables
- Input functions
- Data Types: String
- Data Types: Numbers
- Data Types: Lists & Tuples
- Data Types: Dictionaries
- Data Types: Boolean
- If condition
- If/else condition
- AND/OR operators
- While Loops
- For Loops
- Data validation and Error Handling
- What if Functions
- Using Functions
- Python Class/Object
- Inheritance
- Scope Variable
- Modules
- Time
- Matplotlib
- Requests
- Working with API’s
- Working with JSON
- Create file using python
- Read file using python
- Write & Append
- Reading Excel sheet
- What is AWS
- Introduction to AWS Python
- Implementing python boto3 module
- AWS Lambda python coding
- What is Numpy
- Numpy Array module
- Numpy Array Datatypes
- Numpy Array Iterating
- Numpy Array Sort
- Numpy Array Join
- Numpy Array Split
- Numpy Array Search
- Numpy Array Filter
- Numpy Array Random
- Mysql getting started
- Python Mysql Implementation
- Create database
- Select Query
- Insert
- Drop
- Update
- Flask – Overview
- Flask Environment
- Application
- Routing
- Variable Rules
- URL Building
- Flask Request Objects
- HTTP Methods
- Templates
- Sending form data to templates
- Redirects & Errors
- Cookies
- Sessions
- Message Flashing
- Static Files
- Flask Extensions
- Other Web development Overview
- Django Overview
- Ruby on rails vs Flask vs Django
- Machine learning Intro
- What is dataset
- Mean, Median & Mode
- Standard Deviation
- Percentile
- Data Distribution
- Normal Data Distribution
- Scatter Plot
- Linear Regression
- Polynomial Regression
- Multiple Regression
- Scale
- Splitting data into Train/Test groups
- Decision Tree
- Logistic Regression model
- What’s next in machine learning
- Project overview
- Discuss on interview questions & answers
CubenSquare
Students from Across
the Globe
CubenSquare
Peer Learning
Our commitment to fostering a collaborative environment ensures that every member of our community contributes to and benefits from the wealth of knowledge within our diverse network.
Networking
A community is formed were all members interact and help each other – during and after the training along with Mentor Guidance
- Collaborative Workspaces
- Knowledge Sharing Sessions
- Troubleshooting
- Continuous Learning Culture
CubenSquare
Certification
This Course involves – Training and Certification from CubenSquare
- Hands on Training
- Real Time Projects
- Assisgnments
- Course Completion Certificate
- Job Assistance
CubenSquare
Our Alumni Works At
Career Roadmap
CubenSquare
Testimony
Request a Quote
Ready to Upskill? Contact us now!
Learn More From
Frequently Asked Questions
All classes are available – Online and Offline
All classes are Live led by an instructor
Yes for all students