Our reputable Python programming training with internship empowers our trainees with the knowledge, skills, and experience to effectively start their coding journey or expand their skills. It covers essential topics ranging from Python fundamentals to more advanced concepts like OOP and web. It includes a mix of theoretical learning, hands-on coding exercises, and practical projects to ensure a well-rounded learning experience for our interns.

Our Python training team is composed of a team with hands-on experience in the field of python programming training. 

Our dedicated staff is unwavering in their efforts to provide virtual training, ensuring clients can benefit from the convenience and comfort of learning in their familiar surroundings and on their schedule.

Course Objectives

• Enhance your proficiency in functions, loops, classes, and objects through a Python course.
• Create, build, and provide assistance for both existing and novel applications using Python.
• Acquire the ability to discern user and system prerequisites for fresh software and applications.
• Develop expertise in composing and evaluating code for full-stack web applications.
• Master the techniques for utilizing Python's object-oriented programming (OOP) concepts to solve intricate computational challenges.
• Gain insight into Python's utilization across high-demand domains such as AI, machine learning, and deep learning.

Upon completion of this training, participants will have the capability to declare variables and initialize them, build expressions involving arithmetic, logical, and relational operators, and manipulate text through regular expressions. Additionally, they will possess the skills to create and manage Python scripts and develop platform-independent applications.

What We Offer

• Expert Training: Learn from industry professionals with relevant experience in python programming and facilitation. Our comprehensive program covers essential aspects of python programming.
• Simulation Internship: Gain hands-on experience through our simulation internship, where you'll work on projects and hone your coding skills.
• Job Boost: As part of our program, participants will receive a personalized letter of recommendation or reference from JTS iLab upon successful completion. This valuable endorsement can strengthen and boost your job applications and open doors to exciting career opportunities.

Demand for Python Programmers

The Language in High Demand: Python has emerged as one of the most sought-after programming languages in the tech industry today. Its versatility, simplicity, and readability make it an ideal choice for a wide range of applications, from web development and data science to artificial intelligence and automation. As businesses across various sectors increasingly rely on technology to drive innovation and streamline operations, the demand for skilled Python programmers has skyrocketed.

Industry-leading Companies Seeking Python Talent: Leading technology companies such as Google, Facebook, Amazon, and Microsoft have heavily invested in Python and utilize it extensively in their products and services. Additionally, Python is the preferred language for many startups and smaller companies due to its rapid development capabilities and vast ecosystem of libraries and frameworks. As a result, there is a constant and growing demand for Python programmers across the job market.

Lucrative Career Opportunities: The demand for Python programmers has led to lucrative career opportunities with competitive salaries and benefits. According to industry reports, Python developers often command higher salaries compared to professionals proficient in other programming languages. Moreover, Python's widespread adoption ensures that skilled developers are in high demand not only in traditional tech hubs like Silicon Valley but also in emerging tech markets around the world.

Diverse Applications Driving Demand: Python's versatility is evident in its diverse range of applications. From building dynamic websites using frameworks like Django and Flask to analyzing big data with libraries like Pandas and NumPy, Python offers solutions for various industry-specific challenges. Furthermore, Python's dominance in fields such as machine learning and artificial intelligence has fueled its demand as organizations strive to harness the power of data to gain a competitive edge.

Continuous Growth and Evolution: Python's popularity shows no signs of slowing down, with the language consistently ranking among the top choices for developers worldwide. The vibrant Python community actively contributes to its growth and evolution by developing new libraries, tools, and frameworks, ensuring that Python remains at the forefront of technological innovation. As a result, investing in Python skills not only opens doors to exciting career opportunities today but also ensures long-term relevance in the ever-evolving tech landscape.

Software Developers: Software developers design, build, and maintain software applications. Learning Python can enhance their skill set and enable them to develop robust and efficient software solutions due to Python's simplicity and extensive libraries.

Data Analysts: Data analysts interpret and analyze data to derive valuable insights for businesses. Python's powerful data processing and visualization libraries, such as Pandas and Matplotlib, make it an invaluable tool for data analysis tasks.

Web Developers: Web developers create websites and web applications. Python web frameworks like Django and Flask offer efficient ways to develop web applications, making Python a popular choice among web developers.

Data Scientists: Data scientists extract insights from large datasets using statistical analysis, machine learning, and data visualization techniques. Python's rich ecosystem of libraries, including NumPy, SciPy, and scikit-learn, provides powerful tools for data science tasks.

Systems Analysts: Systems analysts assess an organization's systems and procedures to optimize efficiency and effectiveness. Python's scripting capabilities and ability to integrate with other systems make it a valuable tool for systems analysis and automation tasks.

IT Professionals: IT professionals manage and maintain an organization's technology infrastructure. Python's versatility allows IT professionals to automate routine tasks, manage network devices, and perform system administration tasks more efficiently.

Software Engineers: Software engineers design and develop software solutions to address specific business needs. Python's clean syntax and extensive libraries make it a preferred choice for software engineering projects, enabling engineers to build scalable and maintainable software systems.

Our Python Programming Training Course with internship will equip our trainees with the skills needed to begin their career, excel in their respective roles, and advance their careers in different industries.

What you should know about our training:

• You will earn a certificate that will demonstrate your python programming skills
• You will receive a personalized letter of recommendation or reference from JTS iLab upon successful completion. This valuable endorsement can strengthen and boost your job applications and open doors to exciting career opportunities. 
• Qualify for in-demand job titles like:  Python programmer, Python programming specialist, Python programming support.
• Our training is guaranteed-to-run, live, fun and interactive sessions.
• You get the best fun experiential learning with activities, simulations and hands-on sessions.
• You get trained by experienced python programmers.
• All trainees will have a 2 weeks internship opportunity that involves personal / group projects. These projects are carefully crafted to illustrate how interns will engage in hands-on coding activities and exercises gaining practical experience and building their skills. There will be a presentation at the end of the internship period. 
• Have access to a professional development workshop.

Module 1: Introduction to Python

• What is Python?
• Who Developed Python?

Module 2: Variables

• Introduction to Variables

Module 3: Data Types

• Numeric
• Boolean
• Strings
• Sequence
• Dictionary
• Set

Module 4: Operators

• Arithmetic Operators
• Assignment Operators
• Relational Operators
• Logical Operators

Module 5: Conditional Statement

• If Statement
• If-Else Statement
• Nested If Statement
• If-Elif Statement

Module 6: Looping Statement

• For Loop
• While Loop

Module 7: Functions

• Introduction to Functions
• User Defined Functions
• In-Built Functions
• Lambda Functions

Module 8: Python OOPS

• What is OOPS?
• Classes
• Objects

Module 9: Global and Local Variables

• What is a Global Variable?
• What is a Local Variable?

Module 10: Constructors

• What is a Constructor?
• Types of Constructors

Module 11: Inheritance

• What is Inheritance?
• Single Inheritance
• Multiple Inheritance
• Multi-Level Inheritance
• Hierarchical Inheritance
• Hybrid Inheritance

Module 12: Polymorphism

• What is Polymorphism?
• Method Overloading
• Method Overriding

Module 13: File Handling

• What is File Handling?
• Open
• Write
• Append

Module 14: Exception Handling

• What is Exception Handling?
• Difference Between Syntax Error and Exceptions
• Components of Exception Handling
  • Try Block
  • Except Block
  • Else Block
  • Finally Block
  • Raise Keyword

Module 15: Modules

• What is Module?
• Module Creation
• Module Importing

Module 16: Packages

• What is a Package?
• Creation of Package
• Importing Modules from Packages
• Importing Specific Function from Module

Module 17: Web Scraping

• What is Web Scraping?
• Requests Module
• BeautifulSoup Library

Module 18: NumPy

• What is NumPy?
• Installation of NumPy
• Operation in NumPy

Module 19: Python with MySQL

• Environment Setup
• Creating Database Connection
• Creating Databases and Tables in Python
• Operations on Tables in Python

Module 20: Python GUI Tkinter

• Python GUI Application with Tkinter
• Widgets
  • • Getting User Input
    • Assigning Widgets to Frames
• Controlling Layout with Geometry Managers
  • pack()
  • place()
  • grid()

Module 21: Python Newspaper

• Newspaper Module
• Installation
• Implementation

Module 22: Ping-Pong Game

• What is a Ping-Pong Game?
• Working with Turtle Module
• Creating Right, Left Paddles, and a Ball

Module 23: Internship

• Project Portfolio
• Final Assessment and Certification