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• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions
• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions
• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations
• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis
• Oops basic concepts.
• Creating classes
• Inheritance
• Polymorphism
• Encapsulation and Abstraction
• Decorator
• 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
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• What is web API
• Difference b/w API and web API
• Rest and soap architecture
• Restful services
• Introduction to Flask
• Flask application
• Open link flask
• App routing flask
• URL building flask
• Http methods flask
• Templates flask
• Setting up Project Environment and folders
• Working with Git Repository
• Requirements and Project Documents
• Hands-on Python Project coding
• Deploying the Application
In simple terms, Python is a versatile programming language known for its readability and ease of use. It is an interpreted language, meaning that the code is executed line by line rather than being compiled into machine code. Python finds applications in a variety of fields, including web development, data analysis, artificial intelligence, scientific computing, and more.
Python is employed across several industries, including finance, healthcare, technology, and many others. Its simplicity and extensive libraries make it a popular choice for developing scalable and data-intensive applications that can be used in various industries.
It's challenging to pick a winner between Python and C++ as both languages have their strengths and weaknesses. Python is renowned for its simplicity and readability, while C++ is highly efficient and can handle low-level programming tasks. Choosing between the two depends on the project's specific requirements and the developer's proficiency.
Python's popularity stems from its user-friendly syntax, ease of learning, vast collection of libraries, and diverse applications in various domains.
Python is generally considered an easy language to learn, but it still requires time and effort to master, like any other programming language.
Python programming language is used across various industries, including finance, healthcare, education, and technology, among others.
Python courses in the Edinburgh are generally considered easy to follow, making it a popular language for beginners and experienced programmers alike.
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.
Programming concepts such as loops, functions, and conditional statements are fundamental to learning Python.
The duration of Python courses in the Edinburgh can be affected by factors such as course level, training intensity, and delivery mode.
According to Indeed.com, a python developer in Edinburgh earns an average yearly salary of £59,067!
DataMites is the institute in the Edinburgh that offers a comprehensive Python training program that covers all essential aspects of Python programming.
The best Python training is provided by the Certified Python Developer course, which offers practical exercises, real-world projects, and personalized attention from experienced trainers.
The program's key features include a comprehensive curriculum, experienced trainers, personalized attention, flexible online learning options, globally recognized certification, and real-world internship opportunities.
While there are no strict prerequisites, having a basic understanding of programming concepts and logic could be advantageous for the DataMites Certified Python Developer Training in Edinburgh.
Answer: DataMites offers a basic Python course that typically takes 4 to 6 weeks to complete, 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 pace. The Certified Python Developer Course in the Edinburgh takes four months.
Generally speaking, the python course fee in the Edinburgh can vary from 194 GBP to 360 GBP depending on the level of course and mode of training you choose to go for.
While DataMites does not offer offline Python training in the Edinburgh, our online courses are designed to provide learners with the same quality of education.
DataMites provides the Flexi Pass, allowing learners to select and attend any three courses of their choice from a broad range of courses offered within a year, with access to additional benefits such as workshops, webinars, and recorded sessions.
Upon completing the Python training at DataMites, learners can take a certification exam to receive a certificate that is recognized by various industries and organizations. The certification can enhance career prospects and demonstrate proficiency in Python programming.
You can make payment for the DataMites Python training online in the Edinburgh using various payment methods such as debit/credit card, net banking, PayPal, and other digital payment modes.
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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