Python Training in New York
With
100% Placement Assistance
Python Training in New York Batch Details
| Contact Us | +91 958 123 9696 |
| Python Course Duration | 2 Months |
| Python Timings | Monday to Friday (Morning to Evening) |
| Next Batch Date | 25th February 2023 AT 8:00 AM IST |
| Training Modes | Classroom [HYDERABAD] / Online |
| Python Server Access | 2 Months / Free |
Key Points Of Python Programming Classes in NYC
- Free Python Course demo class.
- 350+ students trained and 150+ recruited in the last 3 years.
- Certified Python Course Trainers
- Experienced Faculty From NIT, IIT
- Python Beginner + Python Advanced level training
- Affordable Python course fees
- Live Python sessions
- Lifetime eLearning access
- Python Guaranteed placement assistance.
- Python course One-on-one doubt clearing
- Customized Python course curriculum
- Free Installation of Python
- Python Django framework
- Python 25+ Case Studies & Assignments
- The course is thoughtfully structured and crafted by experienced Python industry professionals.
- Python Live project + case studies
- Every Python class will be followed by 100% practical assignments.
- Python Job Support
- Practical Python Course exposure.
- Python 45+ Hours of Online Live Instructor-Led Classes
- MLN Academy provides Python Training a comprehensive project-based learning experience that prepares you for success.
- A dedicated WhatsApp group with the trainer and MyLearnNest Admin ensures seamless communication and support 24/7.
Python Training Curriculum
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Functions in Python
• Defining a function
• Calling a function
• Properties of Function
• Examples of Functions
• Categories of Functions
• Argument types
• default arguments
• non-default arguments
• keyword arguments
• non keyword arguments
• Variable Length Arguments
• Variables scope
• Call by value and Call by Reference
• Passing collections to function
• Local and Global variables
• Recursive Function
• Boolean Function
• Passing functions to function
• Anonymous or Lamda function
• Filter() and map() functions
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Modules in Python
• What is a module?
• Different types of module
• Creating user defined module
• Setting path
• The import statement
• Normal Import
• From … Import
• Module Aliases
• Dir function
• Working with Standard modules -Math, Random, Date time, and os modules
=>: Python Basics
• What is Python
• Why Python?
• History of python
• Applications of Python
• Features of Python
• Advantages of Python
• Versions of Python
• Installation of Python
• Flavors of Python
• Comparision b/w various programming languages C, Java, and Python
=>: Python Operations
• Python Modes of Execution
• Interactive mode of Execution
• Batch mode of Execution
• Python Editors and IDEs
• Python Data Types
• Python Constants
• Python Variables
• Comments in python
• Output Print(),function
• Input() Function :Accepting input
• Type Conversion
• Type(),Id() Functions
• Comments in Python
• Escape Sequences in Python
• Strings in Python
• String indices and slicing
=>: Operators in python
• Arithmetic Operators
• Comparision Operators
• Logical Operators
• Assignment Operators
• Short Hand Assignment Operators
• Bitwise Operators
• Membership Operators
• Identity Operators
=>: Python IDE’s
• Pycharm IDE Installation
• Working with Pycharm
• Pycharm components
• Installing Anaconda
• What is Conda?
• Anaconda Prompt
• Anaconda Navigator
• Jupyter Notebook
• Jupyter Features
• Spyder IDE
• Spyder Features
• Conda and PIP
=>. Flow Control statements
• Block/clause
• Indentation in Python
• Conditional Statements
• if stmt
• if…else statement
• if…elif…statement
=>. Looping Statements
• while loop,
• while … else,
• for loop
• Range() in for loop
• Nested for loop
• Break statement
• Continue statement
• Pass statement
=>. Strings in Python
• Creating Strings
• String indexing
• String slicing
• String Concatenation
• String Comparision
• String splitting and joining
• Finding Sub Strings
• String Case Change
• Split strings
• String methods
=>. Collections in Python
• Introduction
• Lists
• Tuples
• Sets
• Dictionaries
• Operations on collections
• Functions for collections
• Methods of collection
• Nested collections
• Differences b/w list tuple and set and Dictionary
=>. Python Lists
• List properties
• List Creation
• List indexing and slicing
• List Operations
• Nested Lists
• List modification
• List insertion and deletion
• List Methods
=>. Python Tuples
• Tuple properties
• Tuple Creation
• Tuple indexing and slicing
• Tuple Operations
• Nested Tuples
• Tuple Methods
• Differences b/w List and Tuple
=>. Python Sets
• Set properties
• Set Creation
• Set Operations
• Set Mathematical Operations
• Set Methods
• Insertion and Deletion operation
=>. Python Dictionary
• Dictionary properties
• Dictionary Creation
• Dictionary Operations
• Dictionary Methods
• Insertion and Deletion of elements
• Differences b/w list tuple and set and Dictionary. Packages
• Introduction to packages
• Defining packages
• Importing from packages
• –init–.py file
• Defining sub packages
• Importing from sub packages
=>.Errors and Exception Handling
• Types of errors
• Compile-Time Errors
• Run-Time Errors
• What is Exception?
• Need of Exception handling
• Predefined Exceptions
• Try,Except, finally blocks
• Nested blocks
• Handling Multiple Exceptions
• User defined Exceptions
• Raise statement
=>. File Handling
• Introduction
• Types of Files in Python
• Opening a file
• Closing a file
• Writing data to files
• Tell( ) and seek( ) methods
• Reading a data from files
• Appending data to files
• With open stmt
• Various functions
=>. OOPs concepts
• OOPS Features
• Encapsulation
• Abstraction
• Class
• Object
• Static and non static variables
• Defining methods
• Diff b/w functions & methods
• Constructors
• Parameterized Constructors
• Built –in attributes
• Object Reference count
• Destructor
• Garbage Collection
• Inheritance
• Types of Inheritances
• Polymorphism
• Over riding
• Super() statement
=>. Regular Expressions
• What is regular expression? Special characters
• Forming regular expression
• Compiling regular expressions
• Grouping
• Match() function
• Search() function
• Matching vs searching
• Splitting a string
• Replacing text
• validations
=>. Database Access
• Introduction
• Installing Oracle database
• Creating database users,
• Installing Oracle Python modules
• Establishing connection with oracle
• Closing database connections
• Cursor object
• Executing SQL queries
• Retrieving data from Database.
• Using bind variables executing SQL queries
• Transaction Management
• Handling errors
=>. Python Date and Time
• How to Use Date & DateTime Class
• Time and date Objects
• Calendar in Python
• The Time Module
• Python Calendar Module
=>. Operating System Module
• Introduction
• getcwd
• listdir
• chdir
• mkdir
• rename file/dir
• remove file/dir
• Os help
• Os operations
=>. Advanced concepts
• Python Iterator
• Python Generator
• Python closure
• Python Decorators
• Web Scraping
• PIP
• Working with CSV files
• Working with XML files
• Working with JSON files
• Debugging
=>. GUI Programming
• Introduction
• Components and events
• Root window
• Fonts and colors
• Buttons,checkbox
• Label widget
• Message widget
• Text widget
• image
=>. Data analytics
• Introduction
• pandas module
• Numpy module
• Matplotlib module
• Working Examples
=>. Excel workbook
• Installing and working with Xlsx writer
• Creating Excel Work book
• Inserting into excel sheet
• Insetting data into multiple excel sheets
• Creating headers
• Installing and working with xlrd module
• Reading a specific cell or row or column
• Reading specific rows and columns
HTML
• Introduction to WEB
• HTML Basic Tags
• HTML Formatting Tags
• HTML Lists
• HTML Tables
• HTML Images
• HTML Anchors
• HTML Forms
• HTML Input Elements
• HTML Form Attributes
• HTML Frames
• HTML GET/POST
• HTML5 Drag/Drop
• HTML Canvas
• HTML Multimedia
CSS :
• CSS Basics
• CSS Introduction
• CSS Syntaxes
• CSS Styling,
• Styling Backgrounds
• Styling Fonts,
• Styling Links,
• Styling Lists
• Styling Tables
• CSS Borders
• CSS Selectors
• CSS Fonts
• CSS Text Effects
• CSS Backgrounds
• CSS keyframes Rule
• CSS Multiple Columns
• CSS 2D Transforms
• CSS 3D Transforms
• CSS Transitions
• CSS Animations
• CSS User Interface
Bootstrap:
• Bootstrap Introduction
• Bootstrap Images
• Bootstrap Tables
• Bootstrap Forms
• Bootstrap Dropdowns
• Bootstrap Buttons
• Bootstrap Button Groups
• Bootstrap Helper Classes
• Bootstrap Panels
• Bootstrap Alerts
• Bootstrap Panels
• Bootstrap Plugins Overview
SQL:
• SQL Introduction
• Installing a Database
• Creating database
• Creating Tables
• insertions
• deletions
• updations
• Groupings and Aggregations
• Eliminating Duplicates
• Filtering• ordering
• merging tables
• Horizontal Merging
• Vertical Merging
• Types of Joins
• Various Built-in Functions
• working with queries
• Sub-queries
Java Script:
- What is Script? Types of Scripts?
- Introduction to JavaScript
- Comments and Types of Comments
- Popup Boxes
- Variables & Operators
- JavaScript Functions and Events
- Conditional Statements
- Looping Control Statements
- I) INTRODUCTION
What is Django?
• Why Django? Key Advantages
• History of Django
• Features of Django
• Characteristics of Django
• Companies Using Django
• Difference b/w MVC and MVT
• Models Views and Templates
- II) WEB FRAMEWORKS
What is a Web Framework?
• What is a server?
• HTTP Requests and HTTP Responses
• What is a web framework?
• What is a web application?
• Steps in Developing web application.
III) DJANGO INSTALLATION
• Django Architecture
• Django Installation
• Virtual Environment
• Working with Pycharm
• Working with ATOM
• Developing First Django Application
- IV) DJANGO PROJECT ARCHITECTURE
Exploring manage.py,
• Exploring urls.py
• Exploring settings.py,
• Exploring admin.py,
• Exploring models.py,
• Exploring views.py,
• Application creations and Examples
- V) DJANGO APPLICATION CREATION
steps in Application creation
• Working with views
• Working with HTML and CSS
• Working with Bootstrap
• Django Application creation in Atom
• Django Application creation in Pycharm
• project with multiple Applications
• Reusing an Application in different projects
• working with static files
- VI) DJANGO VIEWS
Requesting a web page via URL
• Rendering web page via view function
• Render HttpResponse to templates
• Application with multiple views
• Understanding context object and dictionary type
• GET and POST methods
VII) DJANGO TEMPLATES
• Template tags
• Template Filters
• Template API
• Passing Dynamic content to template file
• Passing multiple dict values to the template
• Loading static files
• Adding image file to template
• Advanced Templates
• Template Library
• custom template filter
• custom templates tags
• Registering the tags
VIII) DJANGO ADMIN
• Activating the Admin interface
• Creating a super user for Admin site
• Using the Admin site
• How to use the Admin site
- IX) DJANGO MODELS
working with models and databases
• Defining Models
• Model Fields
• Defining forms
• ModelForms
• make migrations and migrate
• Registering models in settings.py
• Registering models with Admin site
• Connecting with sqlite3
• Connecting with MySQL
• Connecting with Oracle
X) ADVANCED CONCEPTS
• Django ORM
• Faker Module
• Class based views
• Form validation
• Rendering forms
• crispy forms
• MultiselectField
• Embeded Video
• Uploading and downloading Files
• Working with Audio and video
• Integrating with legacy databases and applications
• Sessions users Registrations
• Security
• Django Deployment
• Other Contributed Frameworks
About Python Training in New York
Are you ready to enhance your programming skills and boost your career prospects? Look no further than MyLearnNest Training Academy, offering top-rated Python training in New York. Whether you’re a beginner eager to learn coding or an experienced programmer looking to advance your skills, our Python courses in NYC are tailored to meet the needs of every learner. With over 10+ years of experience in providing world-class training, we ensure you receive the best Python education available.
Why Choose MyLearnNest Training Academy for Python Courses?
At MyLearnNest Training Academy, we believe in hands-on learning and practical application. Our Python programming courses are crafted to provide you with the skills and knowledge needed to excel in the rapidly evolving field of programming. Our expert trainers, who bring over a decade of industry experience, offer personalized attention to each student, ensuring they understand not only Python theory but also real-world problem-solving skills.
Experienced Trainers
Our trainers are highly qualified professionals with extensive experience in top MNCs. As alumni of prestigious institutions like NITK, they bring together academic excellence and real-world industry expertise. Their deep understanding of the IT industry ensures you learn from the very best.
Customized Learning Paths
Looking for a Python bootcamp in NYC or a self-paced Python programming course? MyLearnNest offers flexible learning paths tailored to various skill levels, from beginners to advanced learners. Choose from Python coding bootcamps, evening classes, or weekend sessions, ensuring you can pursue education without disrupting your work-life balance.
Interactive Learning Environment
We provide a dynamic and interactive learning environment. Through hands-on projects, live coding sessions, and collaborative learning, our students gain the confidence to write and implement Python code effectively. We cover everything from basic Python syntax to advanced Python frameworks like Django and Flask, ensuring all students are comfortable with the Python programming language and its various libraries.
Certifications and Career Support
Upon completing our Python training in New York, students receive a recognized certification that adds value to their resumes. Our dedicated career services team assists with job placements, interview preparation, and resume building. We connect our students with top companies hiring Python developers, giving them the right opportunities to launch successful careers.
Course Offerings at MyLearnNest Training Academy
Python Bootcamp NYC: Intensive Learning Experience
Our Python Bootcamp NYC is designed for those wanting to immerse themselves in Python programming. This intensive, fast-paced curriculum covers everything from basic Python syntax to advanced concepts such as:
- Machine Learning
- Data Analysis with Pandas
- Web Development using Django and Flask
During the Python bootcamp in New York, you’ll work on real-world projects that reflect industry challenges, ensuring you gain valuable hands-on experience.
Python Classes NYC: Flexible and Comprehensive
We offer a variety of Python classes in NYC to suit every learner’s schedule. Whether you prefer evening classes, weekend sessions, or online Python courses, we provide the flexibility you need. Our online Python classes offer the same high-quality training as in-person classes, allowing you to learn Python in NYC at your own pace.
Python Programming Course NYC: From Beginner to Advanced
Our Python programming course NYC caters to all levels:
- Beginners: Learn the basics of Python, including syntax, variables, functions, loops, and data structures.
- Intermediate Learners: Explore essential Python libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.
- Advanced Learners: Dive into Machine Learning, Artificial Intelligence, and web development frameworks like Flask and Django.
Python Developer Course New York: Launch Your Career
Our Python Developer Course in New York prepares you for a successful career in software development. It covers:
- Object-Oriented Programming
- API Integration
- Database Management
- Application Development
Python Training for Beginners NYC
For beginners, we offer Python training for beginners NYC, introducing you to the Python language and its fundamental concepts. The curriculum ensures you grasp the basics before advancing to complex topics.
Special Features of MyLearnNest Python Training Programs
Python Classes NYC
At MyLearnNest, we believe in accessible education. That’s why we offer Python classes in NYC, perfect for exploring the world of Python before committing to a full course.
Corporate Python Training New York
We also provide corporate Python training in New York for businesses aiming to upskill their employees. Whether you’re in finance, healthcare, or tech, our customized corporate training programs ensure your team gains proficiency in Python to solve real-world business challenges.
The Python Job Market in New York
New York is one of the most competitive job markets for tech professionals in the U.S., with high demand for Python developers in various sectors, including:
- Finance and Banking
- Healthcare
- Tech Startups
- E-commerce and Retail
Our Python programming courses in NYC equip you with the skills needed to stand out in the competitive job market. According to recent reports, Python remains one of the most sought-after programming languages, with thousands of job openings in New York.
Why Choose MyLearnNest for Python Training in NYC?
- Experienced Instructors: Learn from industry veterans with over a decade of experience.
- Comprehensive Curriculum: From Python basics to advanced frameworks like Django and Flask.
- Flexible Learning Options: Choose from in-person classes in New York, online training, or self-paced courses.
- Certification and Job Placement: Gain certification and get career support with job placements.
- Hands-on Projects: Work on real-world projects to gain practical experience.
Conclusion: Transform Your Career with Python
Whether you want to join a Python bootcamp NYC, take a Python course in New York, or pursue a Python developer course, MyLearnNest Training Academy offers programs tailored to your needs. With expert instructors, flexible schedules, and hands-on projects, you’ll gain the skills and confidence to succeed in the world of Python programming.
Enroll Today!
Take the first step toward a rewarding tech career by enrolling in one of our Python classes NYC or Python coding bootcamps. Let MyLearnNest Training Academy help you unlock your potential and achieve your career goals.
Python Training Eligibility criteria?
Are you considering enrolling in Python training but wondering if you meet the eligibility requirements? At MyLearnNest Training Academy, our Python courses are designed to accommodate learners from various educational backgrounds and skill levels. Here’s what you need to know about the eligibility criteria:
Educational Background:
No specific educational qualification is required to join our Python training. Whether you are a student, a working professional, or someone looking to switch careers, you are welcome to enroll. However, having a basic understanding of mathematics and logical reasoning will be beneficial.Programming Knowledge:
Our Python courses are beginner-friendly, so no prior programming experience is necessary. However, if you have some familiarity with coding concepts or other programming languages, it will be an added advantage. We also offer advanced courses for those with prior programming knowledge.Career Aspirants:
Python is versatile and used in various fields such as web development, data science, machine learning, and automation. If you are an aspiring software developer, data analyst, data scientist, AI engineer, or web developer, Python training is highly beneficial for you.Working Professionals:
If you are an IT professional looking to upskill or transition into roles like software developer, data analyst, or data engineer, our Python training will help you enhance your career prospects.Technical Requirements:
To participate in our online Python classes, you need a laptop or desktop with a stable internet connection. The system should support Python installations like Anaconda or PyCharm for practical coding sessions.
Opportunities for Python Careers:
Python is one of the most versatile and in-demand programming languages today, offering a wide range of career opportunities across industries. Its simplicity, readability, and powerful libraries make it a preferred choice for beginners and experienced professionals alike. Here are some of the top career opportunities for Python enthusiasts:
-
Web Developer: Python frameworks like Django and Flask are widely used for developing robust and scalable web applications. As a web developer, you can create dynamic websites and web services.
-
Data Analyst and Data Scientist: Python’s powerful data analysis libraries like Pandas, NumPy, and Matplotlib make it ideal for data analysis and visualization. Professionals skilled in Python are highly sought after in fields like finance, healthcare, and marketing.
-
Machine Learning Engineer: With libraries such as TensorFlow and Scikit-learn, Python is a top choice for machine learning and artificial intelligence projects. Machine learning engineers work on predictive models, recommendation systems, and AI applications.
-
Automation Engineer: Python’s simplicity makes it perfect for scripting and automation tasks. Automation engineers use Python to build scripts that optimize workflows and reduce manual work.
-
Software Developer: Python is used in building desktop applications, mobile apps, and enterprise-level software solutions.
Modes of Training For Python Course in New York
What Makes Us The Python Training Institute in New York
Flexible Timings
Our Python course timings are flexible and user-friendly allowing a convenience for our students.
Complete Hands-On-Training
Practical real-time experience of Python training with hands-on assistance.
Student diaries
We have trained over 350+ students in Python with 198+ successful placements.
Affordable Fees
My Learn Nest does not charge additional or accessory charges or fees for any of the programs from the Python Training in New York.
Corporate Expert Trainer
We are led by a team of professional and certified Python expert trainers from NIT.
Updated Syllabus
Our Python training syllabus consists of updated concepts and Python to keep our students updated.
Earn a Certificate
Enroll in our Python training in NYC and get a certified course completion certificate.
Lifetime Study Material
You can enjoy lifetime access to our Python study material and LMS.
Testimonials of Python Training in New York
Software Developer
The Python course was well-structured and covered everything from basics to advanced concepts. The real-world projects and case studies made learning engaging. Thanks to this training, I secured a software developer position at a leading tech company.
Machine Learning Engineer
I enrolled in Python training to upskill in machine learning. The modules on TensorFlow and Scikit-learn were outstanding. The trainers were industry experts, and their insights were invaluable. This course truly boosted my career in AI.
Automation Engineer
I was looking to enhance my automation skills, and this Python course delivered exactly what I needed. The hands-on exercises on scripting and workflow automation were practical and relevant. I can now automate complex tasks efficiently at my workplace.
Web Developer
Learning Python in New York was a great investment. The Django and Flask frameworks were taught in-depth, and the live projects helped me gain confidence. Today, I am successfully developing dynamic web applications.
Machine Learning Specialist
I wanted to transition into machine learning, and this Python training was exactly what I needed. The hands-on labs and real-world case studies were immensely helpful. The focus on libraries like NumPy and Pandas gave me the skills required to excel in my new role as a machine learning specialist.
Python Course Certification
MyLearnNest Training Academy offers a comprehensive Python Course Certification designed to equip you with in-demand programming skills. Whether you’re a beginner or an experienced developer, our certification program is tailored to enhance your coding abilities and open doors to exciting career opportunities.
Our Python course covers everything from basic syntax to advanced topics like data structures, object-oriented programming, web development frameworks, and data analysis libraries such as Pandas and NumPy. With hands-on projects and real-world scenarios, you’ll gain practical experience to confidently tackle complex programming challenges.
By earning the Python Course Certification from MyLearnNest Training Academy, you demonstrate your proficiency in Python, making you a valuable asset in today’s competitive job market. This certification validates your skills and showcases your commitment to continuous learning and professional growth.
Our expert instructors guide you through each module, ensuring a solid understanding of Python concepts and best practices. You’ll also benefit from personalized support, interactive sessions, and career guidance to help you succeed.
Upon successful completion, you’ll receive an industry-recognized certification that enhances your resume and boosts your career prospects. Whether you aim to become a web developer, data analyst, software engineer, or automation expert, this certification provides a strong foundation to achieve your goals.
Enroll in MyLearnNest Training Academy’s Python Course Certification today and take the first step towards a successful programming career.
Python Engineer Placements
Software Developer
Web Developer
Automation Tester
Machine Learning Specialist
Advantages of learning Python Training Program
- Comprehensive Curriculum: Gain in-depth knowledge of Python, from basic syntax to advanced programming concepts.
- Expert Instructors: Learn from industry professionals with extensive experience in Python development.
- Hands-on Projects: Work on real-world projects to enhance your coding skills and build a strong portfolio.
- Flexible Learning Modes: Choose from online and offline classes to learn at your own pace.
- Career Support: Get personalized career guidance, resume building, and interview preparation.
- Certification Recognition: Receive an industry-recognized certification that boosts your career prospects.
- Job Placement Assistance: Benefit from our dedicated placement support to secure top job opportunities.
- Community and Networking: Join a community of like-minded learners and industry experts.
- Affordable Fees and Discounts: Avail competitive pricing and seasonal discounts on the course fee.
- Location Advantage: Conveniently located in Hyderabad, accessible to local and international students.
At MyLearnNest Training Academy, our Python Training Program is designed to provide a comprehensive understanding of Python programming, equipping you with the skills required to become a proficient Python developer. Our course is tailored for both beginners and experienced professionals, offering a solid foundation in Python’s syntax, libraries, frameworks, and best practices.
Throughout the course, you will learn core Python concepts, including data types, control structures, functions, object-oriented programming (OOP), and file handling. We also cover advanced topics such as web development using Django and Flask, data analysis with Pandas, and machine learning with Python libraries like Scikit-learn.
Our hands-on approach ensures that students work on real-world projects, allowing them to gain practical experience and apply what they’ve learned in a professional setting. Our trainers are industry experts with years of experience, guiding you every step of the way.
Upon completion, you will receive a certification recognized by leading tech companies, opening doors to lucrative job opportunities in fields such as software development, data science, machine learning, and automation.
Join MyLearnNest Training Academy today to start your Python programming journey and enhance your career prospects!
At the completion of the course you will get experiential knowledge in – python bootcamp nyc.
At the completion of the course, you will gain experiential knowledge in Python Bootcamp in NYC.
By the end of the Python training at MyLearnNest Training Academy, you will have acquired hands-on experience in Python programming, making you proficient in real-world applications. Our Python Bootcamp in NYC provides you with in-depth knowledge of Python’s core concepts, including data structures, algorithms, object-oriented programming (OOP), and web development frameworks like Django and Flask.
Additionally, you’ll gain exposure to Python’s role in fields like data science, machine learning, and automation. Our project-based learning approach ensures you can work on live projects, making you job-ready for top roles in the tech industry.
This intensive bootcamp offers personalized learning with expert trainers, preparing you for roles such as Python Developer, Data Analyst, Machine Learning Engineer, and more. Upon successful completion, you will earn a certification that will help you stand out in the competitive job market.
Join us in NYC for the Python Bootcamp and kickstart your career with a strong foundation in one of the most in-demand programming languages today!
- Comprehensive Python Curriculum: Learn Python programming from scratch to advanced concepts in an organized, structured manner.
- Hands-On Projects: Work on real-world projects that enhance your coding skills and prepare you for industry challenges.
- Expert Trainers: Get trained by experienced industry professionals with practical knowledge.
- Job-Ready Skills: Master Python concepts like data structures, OOP, and frameworks, making you ready for Python development roles.
- Learning Python for Various Domains: Gain expertise in Python's applications in data science, machine learning, and web development.
- Exposure to Python Libraries: Learn to use powerful libraries such as NumPy, Pandas, Matplotlib, and more.
- Industry-Relevant Tools: Get hands-on experience with tools and frameworks commonly used in the tech industry, like Django and Flask.
- Project-Based Learning: Develop portfolio-worthy projects to showcase to potential employers.
- Flexible Learning Options: Choose from offline and online classes that fit your schedule and lifestyle.
- Python Bootcamp in NYC: Learn in a vibrant tech hub, providing you access to a wide range of opportunities and networking.
- Personalized Learning Support: Get one-on-one mentoring and guidance to ensure deep understanding.
- GitHub Integration: Learn how to use GitHub for version control, collaborate on open-source projects, and share your work with the developer community.
- Career Opportunities: Open doors to job roles like Python Developer, Data Analyst, Machine Learning Engineer, and more.
- Interactive Learning Environment: Engage in collaborative sessions and discussions with peers and trainers.
- Certification: Receive a recognized certification at the end of the course to validate your expertise.
- Focus on Practical Knowledge: Gain practical knowledge that can be directly applied to real-world problems and job scenarios.
Job Opportunities our Python Training
As for the recent update official indeed, Naukri currently number of jobs are available in Hyderabad, itself here are some of the Python job opportunities
Python Job Titles
Software Development & Engineering
- Python Developer
- Software Engineer (Python)
- Full Stack Python Developer
- Backend Python Developer
- Python Automation Engineer
- Python Software Architect
- Embedded Python Developer
Data Science & Analytics
- Data Scientist (Python)
- Data Analyst (Python)
- Machine Learning Engineer (Python)
- Deep Learning Engineer
- AI Engineer
- NLP Engineer
Web Development
- Django Developer
- Flask Developer
- Python Web Developer
DevOps & Cloud
- DevOps Engineer (Python)
- Cloud Engineer (Python)
- Site Reliability Engineer (SRE)
Cybersecurity & Networking
- Security Engineer (Python)
- Ethical Hacker (Python)
- Network Automation Engineer
Automation & Scripting
- Python Automation Tester
- QA Engineer (Python)
- Scripting Engineer
Finance & Quantitative Roles
- Quantitative Analyst (Python)
- FinTech Developer (Python)
- Algorithmic Trading Developer
John DData Analyst