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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 a high-level, interpreted programming language known for its simplicity and readability. It supports multiple programming paradigms and has a large standard library, making it versatile for various applications.
Python features include dynamic typing, automatic memory management, support for object-oriented, procedural, and functional programming, extensive standard libraries, and easy integration with other languages.
The demand for Python developers in Poland is high due to its versatility and widespread use in various industries such as web development, data science, and machine learning. Many companies in Poland are seeking skilled Python developers to meet their technological needs.
Common python interview questions include topics like data types, control structures, functions, object-oriented programming concepts, modules, exception handling, and Python-specific libraries and frameworks.
Employers seek Python developers with strong programming fundamentals, knowledge of Python frameworks and libraries, experience with web development or data science, problem-solving skills, teamwork, and effective communication abilities.
While a bachelor's degree in computer science or a related field is often preferred, employers in Poland may also consider candidates with relevant certifications, bootcamp training, or demonstrable skills and experience in Python programming.
Python is used in environmental science for data analysis, modeling, visualization, and simulation tasks. It helps researchers analyze environmental data, predict trends, and develop solutions for environmental challenges.
Python certifications validate an individual's proficiency in Python programming, enhancing their credibility and employability in Poland's competitive job market. Certifications demonstrate expertise in Python development, which is highly valued by employers.
The job prospects for Python developers in Poland are promising, with opportunities available in various industries such as IT, finance, healthcare, and government sectors. Skilled Python developers can find employment as software engineers, data analysts, web developers, and more.
Python is used in retail for tasks such as inventory management, sales forecasting, customer analytics, recommendation systems, and automation of business processes. Its flexibility and extensive libraries make it suitable for developing retail-specific applications and solutions.
To become a certified python developer, you can enroll in reputable Python certification programs offered by online platforms or educational institutions. Prepare thoroughly by studying Python concepts, practicing coding exercises, and taking mock exams to pass the certification exam.
To transition into Python programming from another field, start by learning Python fundamentals through online tutorials, courses, or books. Practice coding regularly, work on personal projects, and seek mentorship or join a coding community to accelerate your learning process.
Transitioning from any role to a Python developer involves learning Python programming fundamentals, gaining hands-on experience through projects or internships, building a portfolio showcasing your skills, networking with professionals in the field, and applying for entry-level Python developer positions.
Python is widely used in data science for tasks such as data manipulation, analysis, visualization, machine learning, and artificial intelligence. Popular Python libraries like Pandas, NumPy, Matplotlib, and scikit-learn are extensively utilized in data science projects.
Yes, Python is widely used in cybersecurity for tasks such as penetration testing, network security analysis, malware analysis, and security automation. Its simplicity, readability, and extensive libraries make it a preferred choice for developing security tools and scripts.
Python libraries are collections of pre-written code modules that extend the language's functionality for specific tasks. Frameworks are structured sets of libraries and tools that provide a foundation for building applications. Examples include Django and Flask for web development, NumPy and Pandas for data manipulation, and TensorFlow and PyTorch for machine learning.
To kickstart a Python development career in Poland, start by learning Python programming fundamentals, exploring its applications in various industries, gaining practical experience through projects or internships, networking with professionals, and applying for entry-level Python developer positions in companies or startups.
You can run Python programs by installing the Python interpreter on your computer and executing Python scripts using the command line or an integrated development environment (IDE) such as PyCharm, VS Code, or Jupyter Notebook.
According to the Economic Research Institute, Python developers in Poland command an impressive average annual salary of PLN 206,319.
Python is used in web development for tasks such as server-side scripting, building web applications, handling HTTP requests, interacting with databases, and developing web frameworks. Popular Python web frameworks include Django, Flask, and Pyramid, which simplify the process of building scalable and secure web applications.
To bolster your Python programming skills in Poland, consider enrolling in courses provided by DataMites. These courses offer tailored training suitable for individuals at all skill levels, fostering hands-on learning experiences to strengthen your expertise.
In the event of a missed training session in Poland, participants can access recorded sessions and course materials online, and schedule makeup sessions to stay on track with their learning.
DataMites' Python Developer Training in Poland is open to individuals with diverse programming backgrounds, offering them the opportunity to acquire fundamental skills essential for Python development roles.
The Python Developer Course in Poland offered by DataMites covers a comprehensive range of Python programming topics, ensuring participants gain practical exposure through internships and live projects with IT companies, preparing them for industry demands.
DataMites' Python for Data Science Course in Poland delves into Python's applications in data manipulation, analysis, and machine learning, equipping participants with practical skills applicable to real-world data scenarios.
The Python Developer Course in Poland at DataMites spans four months, totaling 400 learning hours, providing participants with ample time to thoroughly grasp Python concepts and excel in software development.
The Flexi-Pass feature within DataMites' Python training in Poland allows participants to choose between weekday or weekend batches, providing flexibility to manage their learning alongside other commitments effectively.
Participants need to bring valid photo identification proof, such as a national ID card or driver's license, to obtain the participation certificate during Python training sessions in Poland.
DataMites' Data Mining with Python Training in Poland explores data mining techniques using Python, equipping participants to extract insights from large datasets and make informed decisions.
The Python training fee in Poland at DataMites ranges from PLN 668 to PLN 1730, ensuring accessibility and affordability for participants with different budget constraints.
DataMites' Python for Machine Learning Course in Poland introduces various machine learning algorithms and their implementation using Python's Scikit-Learn package, fostering proficiency in building ML applications.
Yes, DataMites offers a demo class for prospective participants in Poland, allowing them to experience the teaching methodology and assess the course content before making a commitment.
Yes, DataMites offers Python courses with internship opportunities in Poland, enabling participants to gain practical experience and enhance their employability in the field.
Yes, DataMites offers 10 capstone projects and 1 live project as part of its Python Courses in Poland, providing practical experience and opportunities to apply Python skills in real-world scenarios.
Opting for DataMites for Python Course Training in Poland brings several advantages, including globally recognized certifications, expert faculty, updated curriculum, and practical projects, ensuring a comprehensive learning experience in line with industry standards.
Yes, upon completing python classes in Poland with DataMites, participants receive IABAC Certification, validating their proficiency in Python programming and enhancing their credibility in the industry.
DataMites' Python developer training in Poland covers essential tools such as Anaconda, Google Colab, Numpy, Pandas, PyCharm, and Flask, facilitating effective Python application development.
DataMites' career mentoring sessions in Poland offer personalized guidance on resume building, interview preparation, and career goal setting, provided by industry experts to support participants in advancing their careers.
DataMites Python training courses in Poland accept various payment methods, including cash, debit/credit cards, EMI, PayPal, and net banking, ensuring convenience for participants.
DataMites' Python for Deep Learning Course in Poland introduces participants to deep learning concepts, enabling them to construct and train deep neural networks using Python libraries like TensorFlow and PyTorch.
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.