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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 celebrated for its versatility and clarity, making it a flexible tool across various domains like web development, data science, and artificial intelligence.
Python's versatility in the Malé spans a wide range of applications, including data analysis and web development, driving technological advancements and digital solutions within the nation's burgeoning economy.
Employers in Malé often seek Python developers who are proficient in fundamental concepts, experienced with frameworks like Django or Flask, adept in database management, and possess strong problem-solving skills.
The demand for Python developers in Malé is steadily rising, particularly in sectors such as IT, finance, and healthcare, driven by its adaptability and effectiveness in addressing complex challenges.
Starting a Python career in Malé involves mastering foundational concepts through online resources or tutorials, followed by practical application in coding projects to develop a solid portfolio.
Certifications like "Certified Python Developer" hold significant value for employers in Malé, indicating proficiency and dedication to the language.
While a background in computer science or related fields is preferred, practical experience and relevant certifications carry equal weight for Python roles in Malé.
To become a certified Python developer, individuals can enroll in certification programs offered by reputable institutions or online platforms, culminating in examinations to validate proficiency.
Transitioning into Python programming involves acquiring foundational knowledge, gaining hands-on experience through projects or internships, and continuously enhancing skills through further education.
Beginners can start learning Python through accessible online tutorials, interactive coding platforms, and beginner-friendly courses or books, gradually advancing from basic concepts.
Python developers in Malé have promising career prospects, with ample opportunities across sectors like IT, finance, healthcare, and e-commerce, driven by Python's growing popularity.
Python's simplicity, readability, extensive library ecosystem, cross-platform compatibility, and strong community support make it a preferred choice across a diverse range of projects and industries.
Python serves as a foundation for artificial intelligence through robust libraries like TensorFlow, Keras, and PyTorch, enabling tasks such as machine learning, natural language processing, and computer vision.
Python has become indispensable in data science, excelling in tasks such as data manipulation, visualization, statistical analysis, machine learning, and predictive analytics, supported by libraries like Pandas and NumPy.
Python's versatility shines in industries such as web development, data science, artificial intelligence, automation, finance, healthcare, and education, among others.
Python portfolios often feature diverse projects including web development, data analysis, machine learning models, automation scripts, game development, and contributions to open-source projects.
Preparing for Python developer interviews involves revisiting core concepts, practicing coding problems and algorithms, studying common interview questions, and showcasing relevant projects or experiences.
Python's simplicity, readability, extensive libraries, and rapid development cycles often make it preferable over Java, especially in domains like web development, data science, and artificial intelligence.
Python contributes to finance through tasks such as algorithmic trading, risk management, quantitative analysis, financial modeling, data analysis, fraud detection, and process automation, leveraging its simplicity and flexibility.
Python's versatility shines in healthcare applications, handling tasks such as data analysis, medical imaging, disease prediction, drug discovery, and personalized treatment planning, owing to its effectiveness and adaptability.
Consider engaging in DataMites' specialized Python Courses in Malé, tailored to meet the needs of both novices and professionals. Benefit from hands-on learning experiences and expert guidance.
Opting for DataMites for Python training in Malé guarantees globally recognized certifications, esteemed instructors, up-to-date curriculum, and practical projects, ensuring a comprehensive learning journey aligned with industry standards.
DataMites' Python for Data Science Course in Malé covers Python for data manipulation, analysis, and machine learning, equipping participants with practical skills tailored for real-world data challenges.
DataMites' Python Developer Training in Malé welcomes complete beginners who aspire to become Python Developers, offering a learning pathway suitable for individuals with no prior programming experience.
Flexi-Pass in DataMites' Python training program in Malé offers participants the flexibility to opt for either weekday or weekend batches, enabling effective learning management alongside other commitments.
DataMites' Certified Python Developer Course in Malé encompasses essential Python programming fundamentals alongside internship opportunities and live projects, ensuring practical exposure and alignment with industry requirements.
Indeed, DataMites provides Python courses with internship opportunities in the Malé, allowing participants to gain valuable real-world experience and enhance their employability.
DataMites' Data Mining with Python Training in Malé delves into data mining techniques using Python, with a focus on extracting insights from large datasets to drive informed decision-making processes.
The Python Developer Course in Malé at DataMites spans four months, encompassing a total of 400 learning hours, providing participants ample time to delve deep into Python concepts and software development skills.
DataMites' Python for Machine Learning Course in Malé introduces various machine learning algorithms, covering both theoretical concepts and practical implementations using Python and the Scikit-Learn package.
DataMites' Python for Deep Learning Course in Malé introduces participants to deep learning concepts using Python, equipping them with the skills to build and train deep neural networks using TensorFlow and PyTorch.
DataMites' career mentoring sessions for Python training in the Malé provide personalized guidance on resume building, interview preparation, and strategies for career advancement.
Participants need to bring valid photo identification proof, such as a national ID card or driver's license, for Python training sessions in Malé.
Yes, DataMites offers projects as integral components of its Python Training in Malé, providing practical experience and opportunities for participants to apply their Python skills.
Participants who miss Python training sessions in Malé can access recorded sessions and course materials online, as well as schedule makeup sessions to cover missed content.
DataMites' Python developer training in Malé covers a range of tools including Anaconda, Google Colab, Numpy, Pandas, PyCharm, and Flask for effective development and analysis.
DataMites accepts various payment methods including cash, debit/credit cards, PayPal, and net banking for Python courses in Malé.
The cost of Python training in Malé at DataMites ranges from MVR 2,445 to MVR 6,668 ensuring accessibility and affordability for participants with varying budgets.
Certainly, DataMites offers a demo class allowing prospective participants to experience the teaching methodology before committing to Python Courses in the Malé.
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.