4.8 (20,021) reviews Euro 610
Euro 399*
*Offer valid till 22nd September 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's allure lies in its adaptability and simplicity, making it a top choice for developers tackling a wide array of tasks.
Python can be installed by accessing the official Python website, downloading the installer, and following the installation instructions provided.
The favorability between Python and Java depends on the context. Python's appeal lies in its simplicity and flexibility, while Java is often preferred for its performance and scalability, particularly in enterprise environments.
Python 2 has ceased development and support, whereas Python 3 continues to receive active maintenance, offering syntax improvements and additional features.
Beginners can effectively learn Python through online tutorials, interactive coding platforms, books, and participation in coding communities.
Python's utility in data science endeavours is enhanced through libraries like Pandas, NumPy, and scikit-learn, streamlining tasks such as data manipulation, analysis, and machine learning.
Python frameworks provide pre-written code and libraries to expedite development tasks within specific domains, such as web development (e.g., Django, Flask) or GUI applications (e.g., Tkinter).
Effective debugging of Python code can be achieved through techniques such as using print statements, utilizing debugging tools like PDB or IDE debuggers, and meticulously analyzing error messages.
Python boasts greater versatility, catering to a broader range of applications, while R specializes in statistical analysis with comprehensive packages tailored explicitly for that purpose.
The demand for Python developers in Brussels has been steadily rising due to Python's prevalence in web development, data science, and automation sectors.
Employers seek Python developers proficient in core concepts, adept at problem-solving, experienced with frameworks/libraries, and capable of producing efficient, maintainable code.
While Python certifications can validate skills, employers often prioritize practical experience and project work over certification credentials.
Crafting an impactful resume involves showcasing relevant Python projects, highlighting problem-solving prowess, and underscoring specific technical competencies and accomplishments.
Preparing for Python developer interviews entails revisiting algorithms, tackling coding challenges, and demonstrating a deep comprehension of Python concepts and best practices.
While formal education is occasionally a prerequisite, practical skills and hands-on experience are typically more valued than academic qualifications in the realm of Python development.
Python developers are primarily tasked with crafting applications, implementing algorithms, troubleshooting technical issues, and collaborating within team environments.
Transitioning into a Python developer role involves acquiring pertinent skills through online courses, bootcamps, or self-directed learning, constructing a portfolio, and networking within the industry.
Python finds widespread application in data science for tasks encompassing data manipulation, analysis, visualization, machine learning, and statistical modeling.
Python serves as a cornerstone in artificial intelligence pursuits, facilitating tasks such as natural language processing, computer vision, machine learning algorithm development, and neural network construction.
Leading corporations like Google, Facebook, Amazon, and Netflix heavily rely on Python across various facets of their operations, leveraging it for web development, data analysis, automation, and machine learning initiatives.
The salary of a Python developer in Brussels ranges from EUR 85,160 per year according to an Economic Research Institute report.
DataMites in Brussels acts as a guiding light for Python enthusiasts, offering personalized learning paths, expert mentors, and adaptable teaching methodologies. Whether embarking on their Python journey or seeking skill refinement, DataMites provides hands-on projects and tailored career guidance to propel individuals forward in mastering Python.
Python training with DataMites in Brussels stands out for its immersive approach, customized to master this versatile programming language. With a focus on practical learning, participants gain essential skills crucial for success in the ever-evolving tech industry.
The Python Developer Course at DataMites in Brussels spans four months, consisting of 20 hours of live online sessions and 400 hours of self-paced study.
Python Developer Training with DataMites in Brussels welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program is designed for beginners, laying a strong foundation in Python fundamentals.
DataMites introduces the Flexi-Pass for Python training in Brussels, allowing participants a three-month window to access training sessions. This flexibility enables revisiting materials, attending additional sessions, and addressing queries to meet individual learning goals.
The DataMites Certified Python Developer Course in Brussels offers a comprehensive training experience, covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Brussels caters to individuals with diverse programming backgrounds, covering essential topics such as data manipulation, machine learning algorithms, and programming techniques crucial for data analysis.
The Data Mining with Python Course in Brussels focuses on extracting insights from extensive datasets to drive predictive analytics, a fundamental aspect of Data Science requiring diverse skills for effective data analysis.
The Python for Machine Learning Course introduces participants to various machine learning algorithms and their practical implementation using Python, with a particular emphasis on leveraging the Scikit-Learn package.
The Deep Learning with Python Course delves into deep learning principles using Python and the Keras library, exploring both theoretical foundations and practical applications across domains such as computer vision and natural language processing.
DataMites offers a flexible Python training fee in Brussels, spanning from EUR 159 to EUR 403.
Yes, DataMites integrates internship opportunities into its Python courses in Brussels, allowing participants to gain practical experience and apply their Python skills in real-world scenarios, thereby boosting their employability.
Yes, upon completion of Python classes in Brussels, participants are awarded the esteemed IABAC® certification, globally recognized for validating proficiency in Python programming.
Participants must present valid photo identification, such as a National ID card or driver's license, for attendance at Python training sessions in Brussels.
Yes, DataMites incorporates project opportunities into Python training in Brussels, including 10 capstone projects and 1 client project, enabling participants to apply Python skills in practical contexts.
Participants who miss Python training sessions in Brussels can access recorded sessions and course materials online through DataMites' platform. Additionally, makeup sessions can be arranged to ensure continuous learning progress.
Python developer training by DataMites in Brussels encompasses various tools including Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Yes, interested individuals can participate in a complimentary demo class to gain firsthand experience of the training structure and content.
Career mentoring sessions, facilitated by the DataMites Placement Assistance Team (PAT), provide guidance on Data Science career prospects, addressing challenges and offering strategies for professional success.
Yes, DataMites offers assistance sessions to aid in understanding specific Python topics, ensuring participants grasp concepts effectively and confidently.
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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