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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods
• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions
• Decorators
• Generators
• Context Managers
• Metaclasses
• Inheritance and Polymorphism
• Encapsulation and Abstraction
• Class methods and static methods
• Special (magic/dunder) methods
• Property decorators - getters, setters, and deletes
• Working with files
• Reading and writing files
• Buffered read and write
• Other file methods
• Logging & Debugger
• Modules and import statements
• SQL Basics
• Creating DB Table
• INSERT, READ, UPDATE, DELETE
• Introduction to MongoDB
• CRUD operations in MongoDB
• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression
• A Daytime Server
• Clients and Servers
• The Client and Server Programs
• Classes and Threads
• Multi-threading; thread life cycle
• Regular Expression Syntax
• Group, Split and wildcards
• Quantifiers
• Match, Search and Find all methods
• Character Sequence
• Introduction to OpenCV, Installation
• Basic Operations on Images
• Image Filtering
• Image Classification
• Introduction to GIT
• Basic Git commands
• Introduction to Flask and Installation
• Creating project
• Routing,templates, forms and database integration
• Deployment on render
• Django Introduction and Installation
• Creating a Project
• Django Architecture and File Structure
• Folder Structure, First Django project
• Database and Views, Static Files and Forms
• URL Mapping and Routing
• Defining Models and Relationships
• Database Migrations and Schema Changes
• Querying Data using Django ORM
• Model Forms and Form Validation
• HTML Forms in Django
• Model Forms and Form Validation
• Formsets and Inline Formsets
• File Uploads and Validation
• Deploying Django Applications
• Hosting Options (e.g., Heroku, AWS)
• Project Showcasing and Review
Python is a programming language that provides a straightforward syntax and structure, making it easy for developers to write and maintain code. It's popularly used in various fields, including data science, machine learning, and web development.
Guido van Rossum is the genius behind the development of the Python programming language, which was launched in 1991 and has since become one of the most popular programming languages in the world.
Python programming and Java programming differ in several fundamental aspects, such as their syntax, runtime performance, and the way they handle memory management.
Python Programming offers several advantages, including its easy-to-learn syntax, strong community support, and its ability to integrate with other programming languages and technologies.
The use of Python programming language is relevant in careers such as data science, artificial intelligence, web development, software engineering, and scientific research.
Anyone, even beginners without any programming background can start learning Python as it is an easy-to-learn language.
The fee for a Python course in Boston can vary greatly depending on the provider and location, but a typical range is from $500 to $3000.
Some of the personal attributes required for learning Python include a passion for programming, an inquisitive mindset, discipline, self-motivation, and a desire to solve complex problems.
A python developer in Boston earns an average salary of USD 134,011 a year as per Indeed.com.
Yes, anyone can enroll in a Python course in Boston without any formal education prerequisites. However, it is recommended to have basic programming knowledge, problem-solving skills, and logical thinking to succeed in Python programming.
Python Certification in Boston acts as proof of one's proficiency and expertise in the language, making it easier for individuals to secure employment and achieve success in the programming industry.
Python is a critical programming language for data science due to its versatility, ease of use, and extensive range of libraries and tools for data analysis and machine learning. Therefore, gaining proficiency in Python is essential for anyone seeking to enter the field of data science and excel.
Enrolling in the Certified Python Developer Course is the most effective way to become proficient in Python and master the language in Boston.
No, prior coding experience is not a requirement for the DataMites Certified Python Developer Training in Boston.
DataMites™ is a renowned global institute specializing in data science education, with a certification recognized by IABAC. The three-phase learning method includes self-study materials, intensive live online training, and practical project work with industry experts. The training program covers a wide range of topics related to Python, including real-world projects and case studies that are highly relevant and practical. Upon completing the program, you will receive a globally recognized certification and the opportunity to intern with a top global technology company.
The duration of Python Training at DataMites in Boston depends on the specialization you choose. Typically, the training lasts between 2 to 3 months, with sessions held on both weekdays and weekends. The Python Developer Course takes 3 months to complete, while all other specialization courses can be finished within 2 months.
The cost of enrolling in Python Training at DataMites in Boston depends on the mode of training you choose. The Python Course Fees range from 253 USD to 380 USD, while the Certified Python Developer Training Fees range from USD 253 to 418 USD, depending on the mode of training you opt for.
No, DataMites does not provide offline Python training in Boston. However, their online Python training program offers learners the flexibility and convenience of studying from anywhere.
The Flexi-Pass offered by DataMites for Python Courses in Boston is a three-month period in which candidates can attend sessions and seek clarification on any questions or revisions they need.
Yes, upon completing the Python Course at DataMites in Boston, you will receive a Course Completion Certificate acknowledging your successful completion of the program.
Yes, a complimentary demo class is available at DataMites in Boston, which allows you to get a preview of the Python Training before enrolling.
Yes, there are various payment methods available for the DataMites Python Training Online in Boston, including Cash, Net Banking, Check, Debit Card, Credit Card, PayPal, Visa, Mastercard, and American Express.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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