4.8 (23,005) reviews HUF 140,870
HUF 114,366*
*Offer valid till 24th November 2024
Instructor Led Live Online
Self Learning + Live Mentoring
Customize Your Training
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 stands out for its dynamic nature and high-level syntax, prized for its adaptability and versatility across a wide array of domains.
The process involves acquiring the Python installer from the official website and adhering to the installation instructions provided for the specific operating system.
Preference varies depending on the context; Python's simplicity and ease of learning make it popular, while Java's strength lies in performance and scalability, particularly in enterprise environments.
While Python 2 has reached the end of its development and support, Python 3 continues to evolve, introducing syntax enhancements and new features to improve functionality.
Beginners can effectively learn Python through a variety of resources including online tutorials, interactive coding platforms, educational materials, and active participation in coding communities.
Python serves as a cornerstone in data science, utilizing powerful libraries such as Pandas, NumPy, and scikit-learn for tasks spanning from data manipulation to machine learning.
Python frameworks provide developers with pre-existing code and libraries tailored to expedite development efforts in specific domains such as web development (e.g., Django, Flask) or GUI applications (e.g., Tkinter).
Effective debugging techniques encompass strategic print statements, utilization of debugging tools like PDB or IDE debuggers, and thorough examination of error messages.
Python offers greater versatility, catering to a broader range of applications, whereas R specializes in statistical analysis with comprehensive packages designed explicitly for such tasks.
In Hungary, the demand for Python developers has witnessed a steady rise, fueled by Python's prevalence in web development, data science, and automation fields.
Employers typically seek Python developers with a solid understanding of fundamental concepts, strong problem-solving abilities, familiarity with frameworks/libraries, and the capability to write efficient, maintainable code.
While certifications validate skills, employers often prioritize practical experience and tangible projects over certifications.
A compelling resume should highlight relevant projects, underscore problem-solving skills, and emphasize technical proficiencies and accomplishments pertinent to the position.
Effective preparation involves revisiting algorithms, practicing coding challenges, and showcasing a comprehensive understanding of Python principles and best practices.
While beneficial, practical skills and hands-on experience often carry more weight, rendering academic qualifications optional for many Python development roles.
Primary responsibilities encompass application development, algorithm implementation, issue troubleshooting, and collaborative efforts with team members to achieve project objectives.
Transitioning entails acquiring relevant skills through courses or self-study, building a project portfolio, and networking within the industry to facilitate the transition process.
Python finds extensive applications in data manipulation, analysis, visualization, machine learning, and statistical modeling, owing to its versatile array of libraries.
Python plays a pivotal role in various AI applications including natural language processing, computer vision, machine learning algorithms, and neural network development due to its simplicity and robust libraries.
Major corporations such as Google, Facebook, Amazon, and Netflix extensively utilize Python across diverse operations including web development, data analysis, automation, and machine learning initiatives.
The salary of a Python developer in Hungary ranges from HUF 12,656,006 per year according to an Economic Research Institute report.
Embarking on your Python mastery journey in Hungary, DataMites serves as your ideal companion, offering a tailored curriculum, seasoned mentors, and adaptable teaching methodologies. Regardless of your proficiency level, DataMites ensures practical learning experiences through hands-on projects and dedicated career placement assistance to propel your career forward significantly.
Enrolling in Python training with DataMites in Hungary provides distinct advantages, including immersion in a meticulously designed program aligned with industry demands. The emphasis on hands-on learning ensures the acquisition of relevant skills crucial for success in the dynamic programming landscape.
DataMites' Python developer course in Hungary typically spans four months, comprising 20 hours of live online sessions complemented by 400 hours of self-paced learning opportunities.
DataMites extends a warm welcome to individuals from diverse educational backgrounds, including graduates, postgraduates, and high school graduates, to enroll in the Python developer training in Hungary. The program caters to beginners, focusing on establishing a strong foundation in Python fundamentals.
The Flexi-Pass feature offered by DataMites for Python training in Hungary grants participants a flexible three-month window to access training sessions. This flexibility empowers learners to address queries, review materials, and attend additional sessions as needed to achieve their learning goals effectively.
The DataMites Certified Python Developer course in Hungary delivers comprehensive training covering fundamental to advanced Python concepts, equipping participants with proficient Python skills aligned with industry standards.
DataMites' Python for Data Science course in Hungary caters to individuals with varying programming backgrounds, covering essential concepts such as data manipulation, machine learning algorithms, and programming techniques essential for data analysis, irrespective of prior experience.
The Data Mining with Python course explores techniques for extracting insights from extensive datasets to drive predictive analytics, a crucial aspect of Data Science that necessitates diverse skills and knowledge for effective data analysis.
The Python for Machine Learning Course offered by DataMites in Hungary provides a comprehensive introduction to Python tailored specifically for machine learning applications. Participants gain proficiency in various machine learning algorithms and their practical implementation using Python, particularly leveraging the Scikit-Learn package.
DataMites' Deep Learning with Python Course delves into deep learning principles using Python and the Keras library, covering both theoretical concepts and practical applications in domains such as computer vision, natural language processing, and generative models.
The cost of Python training in Hungary at DataMites varies, typically falling between HUF 63,339 to HUF 156,232, offering adaptable options to accommodate diverse learning preferences and financial considerations.
DataMites in Hungary offers Python courses coupled with internship opportunities, allowing participants to gain valuable practical experience and apply their Python skills in real-world settings, thereby enhancing their professional prospects.
Upon successful completion of Python classes at DataMites in Hungary, participants are awarded the prestigious IABAC® certification, recognized globally for validating proficiency in Python programming, thereby bolstering their credentials in the job market.
Participants attending Python training sessions in Hungary are required to present valid photo identification, such as a National ID card or driver's license, for verification purposes and to facilitate a seamless registration process.
Indeed, DataMites in Hungary incorporates project work into its Python training curriculum, offering participants opportunities to undertake 10 capstone projects and 1 client project. These projects serve as practical applications of Python skills, allowing participants to demonstrate proficiency in real-world scenarios.
For participants unable to attend Python training sessions in Hungary, DataMites offers access to recorded sessions and course materials online. Additionally, makeup sessions can be arranged to ensure continuous learning progress.
Python developer training at DataMites in Hungary encompasses a comprehensive suite of tools including Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab, equipping participants with a diverse skill set requisite for professional Python development.
Certainly, prospective participants have the opportunity to attend a complimentary demo class, offering them a firsthand experience of the training program and enabling them to assess its suitability before enrollment.
Career mentoring sessions facilitated by the DataMites Placement Assistance Team (PAT) serve to guide participants on potential career trajectories within Data Science, addressing obstacles and furnishing strategies for navigating the corporate landscape effectively.
Indeed, DataMites provides assistance sessions tailored to clarify queries and offer insights into specific Python topics in Hungary, ensuring participants grasp key concepts thoroughly and progress confidently in their learning journey.
DataMites in Hungary accepts various payment methods including cash, credit card, net banking, check, debit card, and PayPal, providing participants with flexibility and convenience in payment processing.
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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