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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 an open-source language with a vast standard library and a vibrant community of developers who contribute to its growth and development.
The late 1980s saw the introduction of the Python programming language by its creator, Guido van Rossum.
Python and Java programming have distinct differences in syntax, programming style, and application domains. Python is often seen as an easy-to-learn language with a focus on rapid development, while Java is known for its performance, scalability, and security in enterprise applications.
Python programming language provides numerous benefits, such as its straightforward syntax, thriving community support, extensive repositories of pre-built code, and wide applicability in diverse sectors. Its adaptability and ease of use make it a popular choice for developers and businesses, contributing to heightened productivity and streamlined development cycles.
If you are looking for job roles that commonly require proficiency in Python programming language, then Data Scientist, Software Developer, Machine Learning Engineer, Data Analyst, Artificial Intelligence (AI) Researcher, Research Analyst, Financial Analyst, and DevOps Engineer are some of the job titles that you should explore.
Python is a versatile programming language that can be learned by anyone, regardless of their educational background or programming experience. It is also an excellent language for beginners to start their programming journey.
The cost of Python courses can vary depending on the institution or training provider, with fees typically ranging from a few hundred to a few thousand dollars.
Possessing strong soft skills, such as problem-solving, logical thinking, effective communication, collaboration, adaptability, and a willingness to learn, can be beneficial when starting to learn Python and can contribute to a successful learning experience.
A python developer salary in Boulder is $101,334 as per salary.com.
No specific requirements are necessary to enroll in Python courses in Boulder. However, having a basic understanding of programming concepts and mathematical skills can be useful to learn Python effectively.
Having a Python certification in Boulder can significantly boost career growth opportunities as it demonstrates a level of proficiency in the language. Employers value certified professionals and often offer better salaries and career growth prospects.
In today's data-driven world, Python has become a must-have skill for data scientists, as it offers powerful libraries and tools for data analysis and machine learning. It has therefore become an indispensable tool for data science professionals.
If you're interested in learning Python in Boulder, the Certified Python Developer Course is a highly recommended option that provides a comprehensive and engaging curriculum designed to help learners of all levels excel in this popular language.
The DataMites Certified Python Developer Training in Boulder is designed for anyone interested in learning Python. You don't need any prior experience or qualifications to enroll in this course.
Accredited by the International Association of Business Analytics Certification (IABAC), DataMites™ is a renowned global institution specializing in data science. Our courses cover a wide range of topics, and we have more than 25,000 students enrolled worldwide. Our comprehensive learning program includes self-study materials, live online training, and practical project work and placements that are highly relevant to real-world scenarios. Upon completion, you will receive a globally recognized certification from IABAC and have the opportunity to intern with Rubix, a leading technology company.
At DataMites, the duration of Python courses in Boulder varies depending on the specialization. The Python Developer Course is a 3-month program, while other courses take 2 months to complete. Students can choose between weekday and weekend classes to fit their schedules.
At DataMites in Boulder, the cost of Python courses ranges from 253 USD to 380 USD, while the fees for the Certified Python Developer Training may range between 253 USD to 418 USD, depending on the mode of training chosen by the student.
Unfortunately, we do not offer offline Python training in Boulder. However, our online Python courses are highly interactive, providing you with the opportunity to collaborate with instructors and other students, ask questions, and receive feedback in real-time.
The Flexi-Pass for Python Training in Boulder provided by DataMites allows candidates to attend multiple sessions for up to three months, giving them the flexibility to learn at their own pace and get their queries answered.
DataMites will issue you a certificate of completion once you have finished the course and demonstrated proficiency in the subject matter.
We provide a free demo class for our Python training course, which you can attend to get an idea of what the training entails.
We support various payment modes, 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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