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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 popular high-level, interpreted programming language known for its readability, simplicity, and versatility. It is widely used for various applications, including web development, scientific computing, data analysis, and machine learning.
Python programming language was developed by Guido van Rossum.
Python is an interpreted language that is dynamically typed and has a focus on code readability, while Java is a compiled language that is statically typed and is known for its portability and robustness.
The advantages of using Python include its simple syntax, strong community support, cross-platform compatibility, vast libraries and frameworks, ease of learning, and readability.
Python programming language is used in job roles such as data analysts, data scientists, software developers, web developers, DevOps engineers, and cybersecurity analysts.
Yes, even beginners with no programming experience can learn Python courses as the course does not require prior experience in programming.
The charges for Python courses in Charlotte may vary depending on various factors such as the training provider, course format, and duration. Nonetheless, many institutions offer economical and flexible pricing plans for their Python courses.
While Python is used extensively in data science and analytics, it is not necessary to be an expert in mathematics to learn Python. However, having a basic understanding of algebra and statistics can be beneficial. Soft skills such as problem-solving, critical thinking, and attention to detail are also crucial.
A python develop’s salary in Charlotte is $123,409 a year as per Indeed.com.
You do not need any specific skills to enroll in Python courses in Charlotte. However, having some basic programming knowledge and familiarity with concepts like variables, loops, and functions can be useful. Additionally, soft skills such as problem-solving, critical thinking, and attention to detail can also be beneficial.
Anyone who wants to advance their career in the technology industry and demonstrate their proficiency in Python programming can benefit from obtaining a Python certification. It is particularly valuable for software developers, data analysts, and machine learning engineers, among others.
Python is a must-have skill for anyone interested in data science. Its simple syntax and vast array of libraries make it a popular choice for data analysis, visualization, and machine learning. Learning Python can provide significant advantages for anyone interested in pursuing a career in data science.
The Certified Python Developer Course in Charlotte is the most popular Python course in the city, thanks to its well-structured curriculum and engaging learning materials that cater to individuals with varying levels of programming experience.
There are no specific qualifications required to enroll in the DataMites Certified Python Developer Training in Charlotte. The course is open to anyone interested in learning Python programming, regardless of their educational background or work experience.
DataMites™ is a globally accredited institute for data science, offering a comprehensive curriculum with a three-step learning approach. The course includes self-study materials, intensive live online training, and practical project work with placements. Our program includes real-world projects and case studies, providing relevant experience for candidates. Upon completion, candidates will receive a globally recognized certification from IABAC and can intern with top global technology companies like Rubixe.
The duration of Python Courses at DataMites depends on the specialization you choose. Typically, the courses last for 2 to 3 months, with the Python Developer Course being the longest at 3 months.
The fees for Python Training at DataMites in Charlotte vary depending on the mode of training and course. The range is between 253 USD to 418 USD. On the other hand, the Certified Python Developer Training Fees in the Charlotte vary from USD 253 to 418 USD, depending on the same.
Although DataMites doesn't provide offline Python training in Charlotte, our online program offers an immersive learning experience that is just as effective.
Yes, the Flexi-Pass is available for Python Training in Charlotte at DataMites, and it allows candidates to attend sessions for revisions and clearing doubts for three months with a flexible schedule.
Yes, you will receive a certificate of completion from DataMites after finishing the Python course.
Yes, at DataMites, you can attend a free demo class to get a sneak peek into the training process and curriculum before committing to the Python training program and paying the fee.
For DataMites Python Training Online in Charlotte, you can choose to pay through different modes, such as 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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