4.8 (20,011) reviews KHR 1,542,860
KHR 1,252,580*
*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 distinguishes itself with its adaptability and simplicity, making it a top choice for developers across various domains.
Installing Python involves navigating to the official Python website, downloading the installer, and following the step-by-step installation instructions provided.
Preferences between Python and Java vary depending on the context. Python's simplicity and versatility appeal to many, while Java's performance and scalability often garner favor in enterprise settings.
Python 2 has ceased development and support, whereas Python 3 continues to receive active maintenance, offering syntax improvements and additional features.
Beginners can effectively grasp Python through various means, including online tutorials, interactive coding platforms, educational literature, 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 furnish 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 involves methods such as incorporating print statements, utilizing debugging tools like PDB or IDE debuggers, and meticulously scrutinizing error messages.
Python offers greater versatility, catering to a wider array of applications, while R specializes in statistical analysis with comprehensive packages tailored for that purpose.
The demand for Python developers in Cambodia has been steadily rising due to Python's prevalence in web development, data science, and automation sectors.
Employers typically seek Python developers proficient in core Python concepts, adept at problem-solving, experienced with relevant frameworks/libraries, and capable of producing efficient, maintainable code.
While Python certifications can validate skills, practical experience and project portfolios often carry more weight in the eyes of employers.
Crafting an impactful resume involves highlighting relevant Python projects, showcasing problem-solving abilities, and emphasizing specific technical skills and accomplishments.
Preparing for Python developer interviews entails reviewing algorithms, practicing coding challenges, and demonstrating a solid understanding of Python concepts and best practices.
While a formal degree may sometimes be necessary, practical skills and hands-on experience often outweigh academic qualifications in the field of Python development.
The primary duties of a Python developer include developing applications, implementing algorithms, troubleshooting issues, and collaborating within a team environment.
Transitioning into a Python developer role involves 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 like Google, Facebook, Amazon, and Netflix significantly rely on Python across their operations, leveraging it for web development, data analysis, automation, and machine learning initiatives.
DataMites serves as a guiding beacon for Python enthusiasts in Cambodia by offering tailored learning paths, seasoned mentors, and adaptable teaching methodologies. With immersive projects and personalized career guidance, DataMites propels individuals forward in their Python journey.
Python training with DataMites in Cambodia stands out for its immersive approach, finely crafted to master this dynamic programming language. Focusing strongly on practical learning, participants acquire essential skills crucial for thriving in the ever-evolving tech landscape.
The Python Developer Course in Cambodia spans four months, consisting of 20 hours of live online sessions complemented by 400 hours of self-paced study.
Python Developer Training with DataMites in Cambodia is open to individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program caters to beginners, offering a solid foundation in Python fundamentals.
DataMites introduces the Flexi-Pass for Python training in Cambodia, granting 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 Cambodia provides comprehensive training covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Cambodia caters to individuals with diverse programming backgrounds, covering critical topics such as data manipulation, machine learning algorithms, and essential programming techniques for data analysis.
The Data Mining with Python Course in Cambodia focuses on extracting insights from extensive datasets to drive predictive analytics, a crucial 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 both theoretical foundations and practical applications across domains like computer vision and natural language processing.
DataMites offers Python training fees in Cambodia ranging from KHR 647,734 to KHR 1,765,878.
Indeed, DataMites integrates internship opportunities within its Python courses in Cambodia, enabling participants to apply their skills in real-world scenarios and enhance their employability.
Upon successful completion of Python classes in Cambodia, participants are conferred with the prestigious IABAC® certification, recognized globally for validating proficiency in Python programming.
Participants must furnish valid photo identification, such as a National ID card or driver's license, for Python training sessions in Cambodia.
DataMites integrates project opportunities as an integral component of Python training in Cambodia, comprising 10 capstone projects and 1 client project, enabling participants to apply Python skills in real-world scenarios.
For participants unable to attend Python training sessions in Cambodia, DataMites provides access to recorded sessions and course materials online. Additionally, makeup sessions can be arranged to ensure continuous learning progress.
Python developer training by DataMites in Cambodia encompasses tools including Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Certainly, individuals interested in DataMites' Python training in Cambodia can participate in a complimentary demo class to gain firsthand experience of the teaching methodology and understand the course structure.
Career mentoring sessions within DataMites' Python training in Cambodia, facilitated by the DataMites Placement Assistance Team (PAT), offer invaluable guidance on Data Science career prospects, addressing challenges, and providing strategies for success in the corporate realm.
Yes, DataMites offers help sessions to reinforce understanding of specific Python topics in Cambodia, ensuring participants have a solid grasp of the concepts being taught.
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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