4.8 (20,012) reviews KHR 1,542,860
KHR 1,252,580*
*Offer valid till 22nd December 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 due to its adaptability and simplicity, making it highly favored among developers for a multitude of tasks.
Installing Python involves accessing the official Python website, downloading the installer, and following the installation instructions provided.
Preferences between Python and Java vary based on context. While Python's simplicity and flexibility are admired, Java often receives favour for its performance and scalability, especially in enterprise settings.
Python 2 has ceased development and support, whereas Python 3 continues to receive active maintenance, offering syntax enhancements and additional features.
Beginners can effectively grasp Python through various avenues, including online tutorials, interactive coding platforms, educational books, and participation in 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 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 methods such as employing print statements, utilizing debugging tools like PDB or IDE debuggers, and meticulously analyzing error messages.
Python boasts more versatility, catering to a broader range of applications, while R specializes in statistical analysis with comprehensive packages tailored specifically for that purpose.
The demand for Python developers in Phnom Penh has been steadily increasing due to Python's prevalence in web development, data science, and automation sectors.
Employers typically seek Python developers proficient in core Python concepts, skilled in 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 a compelling resume involves highlighting relevant Python projects, showcasing problem-solving abilities, and emphasizing specific technical skills and achievements.
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 required, practical skills and hands-on 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 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 employed 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, utilizing it for web development, data analysis, automation, and machine learning initiatives.
In Phnom Penh, DataMites acts as a guiding force for Python enthusiasts, offering customized learning paths, experienced mentors, and flexible teaching methods. Whether venturing into Python for the first time or refining existing skills, DataMites provides practical projects and personalized career guidance to propel individuals forward in their Python exploration.
Python training with DataMites in Phnom Penh stands out for its immersive learning approach, meticulously designed to master this versatile programming language. Emphasizing practical learning, participants gain essential skills crucial for navigating the dynamic tech landscape with confidence.
The Python Developer Course in Phnom Penh spans a four-month period, comprising 20 hours of live online sessions and 400 hours of self-paced study.
Python Developer Training with DataMites in Phnom Penh welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school alumni. The program caters to beginners, providing a solid grounding in Python fundamentals.
DataMites introduces Flexi-Pass for Python training in Phnom Penh, granting participants a three-month window to access training sessions. This flexibility enables revisiting materials, attending additional sessions, and addressing queries to achieve individual learning objectives.
The DataMites Certified Python Developer Course in Phnom Penh offers comprehensive training covering basic to advanced Python concepts, equipping learners with proficient skills.
The Python for Data Science Course in Phnom Penh caters to individuals with diverse programming backgrounds, addressing critical topics such as data manipulation, machine learning algorithms, and programming techniques essential for data analysis.
The Data Mining with Python Course in Phnom Penh focuses on extracting insights from extensive datasets to drive predictive analytics, a vital 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 explores deep learning principles using Python and the Keras library, offering theoretical insights and practical applications in domains like computer vision and natural language processing.
DataMites provides Python training fees in Phnom Penh ranging from KHR 647,734 to KHR 1,765,878.
Yes, DataMites offers Python courses in Phnom Penh inclusive of internship opportunities, enabling participants to acquire real-world experience and apply their Python skills professionally, thereby enhancing employability.
Upon successfully completing Python classes in Phnom Penh, participants receive 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 Python training sessions in Phnom Penh.
Yes, DataMites offers project opportunities as an integral part of Python training in Phnom Penh, including 10 capstone projects and 1 client project, allowing participants to apply Python skills in real-world scenarios.
For participants unable to attend Python training sessions in Phnom Penh, recorded sessions and course materials are accessible online through DataMites' platform. Additionally, makeup sessions can be arranged to ensure continuous learning progress.
Python developer training by DataMites in Phnom Penh encompasses a range of tools including Anaconda, Python, PyCharm, Flask, NumPy, Pandas, and Google Colab.
Yes, individuals interested in DataMites' Python training in Phnom Penh can participate in a complimentary demo class to experience the teaching methodology firsthand and comprehend the course structure.
Career mentoring sessions, conducted by the DataMites Placement Assistance Team (PAT), offer invaluable guidance on Data Science career prospects in Phnom Penh, addressing challenges and providing strategies for success in the corporate world.
Yes, DataMites offers help sessions in Phnom Penh to reinforce understanding of specific Python topics, ensuring participants have a solid grasp of the concepts 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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