4.8 (24,900) reviews UZS 4,909,090
UZS 3,985,481*
*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 as a versatile high-level language cherished for its simplicity and flexibility.
The process of setting up Python involves obtaining the installer from the official Python website and following the installation prompts.
Preference between Python and Java varies depending on the context; Python is favored for its simplicity and learnability, while Java excels in performance and scalability, particularly in enterprise environments
While Python 2 development and support have ceased, Python 3 continues to receive active maintenance, featuring syntax enhancements and additional functionalities.
Beginners can effectively familiarize themselves with Python through online tutorials, interactive coding platforms, books, and engagement with coding communities.
Python proves invaluable in data science pursuits through libraries like Pandas, NumPy, and scikit-learn, simplifying tasks such as data manipulation, analysis, and machine learning.
Python frameworks provide pre-written code and libraries to streamline 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 accomplished through methods such as using print statements, employing debugging tools like PDB or IDE debuggers, and carefully analyzing error messages.
Python is more versatile, catering to a wider range of applications, while R specializes in statistical analysis with comprehensive packages tailored specifically for that purpose.
The demand for Python developers in Uzbekistan has been steadily rising, fueled by Python's popularity in web development, data science, and automation sectors.
Employers seek developers skilled in core Python concepts, proficient in problem-solving, experienced with frameworks/libraries, and capable of producing 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, showcasing problem-solving abilities, and emphasizing specific technical skills and achievements.
Preparing for Python developer interviews involves reviewing algorithms, practicing coding challenges, and demonstrating a clear understanding of Python concepts and best practices.
While a formal degree is sometimes required, practical skills and experience often outweigh academic qualifications in the field of Python development.
The primary responsibilities of a Python developer include developing applications, implementing algorithms, troubleshooting issues, and collaborating within a team setting.
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 rely extensively on Python across their operations, utilizing it for web development, data analysis, automation, and machine learning initiatives.
Embracing Python enthusiasts in Uzbekistan, DataMites stands as a guiding light, offering tailored curricula, experienced mentors, and adaptable teaching methodologies. Whether starting anew or aiming for skill elevation, DataMites provides hands-on projects and dedicated career assistance, propelling individuals forward in their Python journey.
Opting for Python training with DataMites in Uzbekistan ensures immersion in a meticulously designed program tailored to mastering this versatile programming language. With a focus on practical learning, participants acquire relevant skills essential for thriving in the industry.
The Python Developer Course in Uzbekistan spans four months, consisting of 20 hours of live online sessions and 400 hours of self-paced learning.
Python Developer Training with DataMites in Uzbekistan welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program caters to beginners, establishing a strong foundation in Python fundamentals.
DataMites introduces Flexi-Pass for Python training in Uzbekistan, allowing participants a three-month window to access training sessions. This flexibility accommodates queries, revisiting materials, and attending extra sessions to meet individual learning objectives.
The DataMites Certified Python Developer Course in Uzbekistan offers comprehensive training, covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Uzbekistan caters to individuals with varying programming expertise, addressing essential topics such as data manipulation, machine learning algorithms, and programming techniques crucial for data analysis.
The Data Mining with Python Course in Uzbekistan focuses on extracting insights from extensive datasets to drive predictive analytics, a critical 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, 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 Uzbekistan ranging from UZS 2,013,960 to UZS 5,349,558.
Yes, DataMites offers Python courses in Uzbekistan 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 Uzbekistan, 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 Uzbekistan.
Yes, DataMites provides project opportunities as part of Python training in Uzbekistan, including 10 capstone projects and 1 client project, enabling participants to apply Python skills in real-world scenarios.
Participants missing Python training in Uzbekistan 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 Uzbekistan include Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Yes, interested individuals can attend a complimentary demo class to experience the training firsthand and understand its structure.
Career mentoring sessions, facilitated by the DataMites Placement Assistance Team (PAT), guide participants in Data Science career prospects, addressing challenges and offering strategies for corporate success.
Yes, DataMites offers help sessions to enhance understanding of specific Python topics, ensuring participants grasp concepts effectively.
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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