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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 distinguishes itself as a versatile high-level programming language celebrated for its simplicity and adaptability.
The process of setting up Python involves acquiring the installer from the official Python website and proceeding through the installation prompts.
Preference between Python and Java varies depending on the context; Python is favoured for its simplicity and ease of learning, while Java excels in performance and scalability, especially in enterprise settings.
Python 2 has halted development and support, while Python 3 continues to receive active maintenance, featuring syntax improvements and additional functionalities.
Beginners can effectively acquaint themselves with Python through online tutorials, interactive coding platforms, books, and engagement with coding communities.
Python proves indispensable in data science endeavours through libraries such as Pandas, NumPy, and scikit-learn, simplifying tasks like data manipulation, analysis, and machine learning.
Python frameworks offer pre-written code and libraries to streamline development tasks within specific domains, like web development (e.g., Django, Flask) or GUI applications (e.g., Tkinter).
Effective debugging of Python code can be achieved through techniques such as utilizing print statements, employing debugging tools like PDB or IDE debuggers, and systematically analyzing error messages.
Python is more versatile, catering to a broader range of applications, while R specializes in statistical analysis with richer packages tailored specifically for that purpose.
The demand for Python developers in Madagascar has been steadily increasing, driven by Python's popularity in web development, data science, and automation domains.
Employers seek Python developers proficient in core Python concepts, adept at problem-solving, experienced with frameworks/libraries, and capable of crafting efficient, maintainable code.
While Python certifications can validate skills, practical experience and projects often carry more weight in the eyes of employers.
Crafting a compelling resume involves highlighting relevant Python projects, demonstrating problem-solving abilities, and emphasizing specific technical skills and accomplishments.
Preparing for Python developer interviews involves reviewing algorithms, practising coding challenges, and demonstrating a clear understanding of Python concepts and best practices.
A formal degree is only sometimes necessary for a career in Python development; practical skills and experience often outweigh academic qualifications.
The primary responsibilities of a Python developer include application development, implementing algorithms, troubleshooting issues, and collaborating within a team environment.
Transitioning into a Python developer role entails acquiring relevant skills through online courses, bootcamps, or self-study, building a project portfolio, and networking within the industry.
Python finds extensive application in data science for tasks such as data manipulation, analysis, visualization, machine learning, and statistical modeling.
Python is utilized in artificial intelligence for tasks such as natural language processing, computer vision, developing machine learning algorithms, and constructing neural networks.
Major corporations such as Google, Facebook, Amazon, and Netflix extensively utilize Python across their operations, employing it for web development, data analysis, automation, and machine learning endeavours.
DataMites in Madagascar stands as a beacon for Python enthusiasts, offering a robust curriculum, seasoned mentors, and adaptable teaching methodologies. Whether you're starting fresh or aiming to elevate your Python skills, DataMites provides hands-on projects and dedicated placement assistance to propel your career forward.
Opting for Python training with DataMites in Madagascar ensures a dive into a meticulously crafted program geared towards mastering a versatile programming language tailored to industry demands. The focus on practical learning guarantees the acquisition of relevant skills to thrive in the field.
The Python Developer Course spans four months in Madagascar, comprising 20 hours of live online sessions complemented by 400 hours of self-paced learning.
Python Developer Training with DataMites in Madagascar is open to individuals from diverse educational backgrounds, be it graduates, postgraduates, or high school alumni. The program caters to beginners, laying a solid foundation in Python fundamentals.
DataMites introduces Flexi-Pass for Python training in Madagascar, granting a three-month window for participants to access training sessions. This flexibility enables addressing queries, revisiting materials, and attending extra sessions as needed to meet individual learning goals.
The DataMites Certified Python Developer Course in Madagascar encompasses comprehensive training, spanning from basic to advanced Python concepts, equipping learners with proficient skills.
Python for Data Science Course in Madagascar caters to individuals of varying programming expertise, covering essential topics like data manipulation, machine learning algorithms, and programming techniques crucial for data analysis.
The Data Mining with Python Course in Madagascar focuses on extracting insights from vast datasets to drive predictive analytics, a pivotal aspect of Data Science demanding diverse skills to analyze data effectively.
The Python for Machine Learning Course introduces participants to various machine learning algorithms and their practical implementation using Python, particularly leveraging the Scikit-Learn package.
The Deep Learning with Python Course delves into deep learning principles using Python and the Keras library, exploring theoretical foundations and practical applications across domains like computer vision and natural language processing.
DataMites offers Python training fees in Madagascar ranging from MGA 739,882 to MGA 1,965,304.
Yes, DataMites offers Python courses in Madagascar inclusive of internship opportunities, allowing participants to gain real-world experience and apply their Python skills professionally, thereby enhancing employability.
Upon completion of Python classes in Madagascar, participants receive the prestigious IABAC® certification, globally recognized for validating proficiency in Python programming.
Participants need to bring valid photo identification, such as a National ID card or driver's license, to Python training sessions in Madagascar.
Yes, DataMites provides project opportunities as part of Python training in Madagascar, including 10 capstone projects and 1 client project, enabling participants to apply Python skills in real-world scenarios.
Participants missing Python training in Madagascar can access recorded sessions and course materials online through DataMites' platform. Makeup sessions can also be arranged to ensure continuous learning progress.
Tools covered in Python developer training by DataMites in Madagascar include Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Yes, interested individuals can attend a complimentary demo class to get a firsthand experience of the training and understand its structure.
Career mentoring sessions hosted by the DataMites Placement Assistance Team (PAT) guide career prospects in Data Science, addressing challenges and offering strategies for success in the corporate world.
Yes, DataMites offers help sessions to enhance understanding of specific Python topics, ensuring participants grasp concepts effectively.
DataMites offers various payment options, including cash, credit card, net banking, check, debit card, and PayPal, for Python courses in Madagascar.
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.