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• 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 general-purpose programming language that is widely used for web development, data analysis, machine learning, scientific computing, and many other fields. It is known for its simplicity, readability, and ease of use, and has a large and active community of developers.
Python is widely used for developing web applications, analyzing data, building machine learning models, creating artificial intelligence algorithms, automating tasks, and much more. Its popularity and extensive libraries make it an excellent choice for developers and organizations looking to build complex applications.
There's no definitive answer to this question as both Python and C++ have their advantages and disadvantages. Python is simpler to learn and has more libraries, making it ideal for beginners and popular for scientific computing and web development. Meanwhile, C++ is highly efficient and capable of handling low-level programming tasks, making it a favorite for developing high-performance applications, games, and operating systems. The decision between Python and C++ will depend on the project requirements and the programmer's skill set.
Python's popularity can be attributed to its simplicity, readability, flexibility, and rich ecosystem of libraries and tools.
Python is often recommended as a first programming language for beginners with no coding experience, as it is easy to learn and has an extensive community of resources and support.
Python is a popular language in data analysis, artificial intelligence, scientific research, and web development, making it relevant for careers in those fields.
Learning Python in the Bristol can enhance job prospects in fields such as data science, machine learning, and software development, among others, as well as provide a valuable skill for personal development.
The fees for Python courses can vary based on the level of training being offered. Generally, the fee structure for classroom training by different providers in Python ranges from 200 GBP to 400 GBP.
Basic programming knowledge is helpful but not necessary to learn Python.
The duration of Python courses in the Bristol is not set and can vary depending on various factors such as course level and delivery mode.
A python developer in Bristol earns an average salary of $88,446 a year as per Salary.com.
DataMites is an institute in the Bristol that delivers comprehensive Python training, suitable for individuals at both beginner and advanced levels.
The ideal course to learn Python is the Certified Python Developer course, which offers practical exercises and real-world projects, along with personalized attention from experienced trainers.
Basic knowledge of programming concepts and logic is recommended but not mandatory for the DataMites Certified Python Developer Training in the Bristol, which is suitable for both beginners and experienced professionals.
The comprehensive curriculum, experienced trainers, personalized attention, flexible online learning options, globally recognized certification, and real-world internship opportunities set DataMites' Python Training apart from other courses.
The duration of the basic Python course at DataMites is usually 4 to 6 weeks, while the advanced course may take up to 12 weeks. The online Python course is self-paced, and learners can complete it at their own convenience. The Certified Python Developer Course in the Bristol takes four months.
Generally speaking, the python course fee in the Bristol can vary from 194 GBP to 360 GBP depending on the level of course and mode of training you choose to go for.
Unfortunately, DataMites does not offer classroom-based Python training in the Bristol. However, we do provide online training that is designed for learners of all levels.
With the Flexi Pass from DataMites, learners can choose and attend any three courses of their interest from a range of courses offered within a year, with the freedom to learn at their own pace.
DataMites provides certification to learners who complete the Python training and pass the certification exam. The certificate is widely recognized and can help learners advance their careers.
DataMites offers multiple payment options, including debit/credit card, net banking, PayPal, and other digital payment methods for their Python training online in the Bristol.
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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