4.8 (22,000) reviews USh 1,472,730
USh 960,239*
*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 stands out as a multifaceted, high-level programming language cherished for its straightforwardness and flexibility across a multitude of programming scenarios.
Installing Python involves obtaining the installer from the official Python website and following the installation prompts provided to set up the language on your computer.
The preference between Python and Java varies depending on the context; Python is often favored for its accessibility and simplicity, while Java's strength lies in its performance and scalability, particularly in enterprise environments.
Python 2 has reached the end of its development and support cycle, while Python 3 continues to be actively maintained, incorporating syntax improvements and additional features.
Novices can initiate their Python learning journey through online tutorials, interactive coding platforms, books, and engagement with coding communities.
Python serves as a crucial tool in data science, leveraging libraries such as Pandas, NumPy, and scikit-learn to streamline tasks including data manipulation, analysis, and machine learning.
Python frameworks provide comprehensive toolsets, offering pre-existing code and libraries tailored to expedite development efforts within specific domains, such as web development with Django and Flask or GUI applications using Tkinter.
Troubleshooting Python code involves various approaches, including strategically inserting print statements, utilizing dedicated debugging tools like PDB or IDE debuggers, and carefully analyzing error messages for insights.
Python stands out for its versatility, accommodating a wider range of applications, while R excels in statistical analysis, supported by numerous robust packages tailored for this purpose.
The increasing demand for Python developers in Kampala reflects the growing importance of Python across diverse domains, solidifying its position as a valuable skill set within the local tech industry.
Prepare for Python developer interviews by mastering core concepts, algorithms, data structures, and common libraries, while also engaging in coding challenges on platforms like LeetCode or HackerRank.
While advantageous, a formal degree is only sometimes necessary for a career in Python development; practical skills, experience, and a strong portfolio often carry more weight in the field.
Python developers are tasked with crafting efficient, scalable, and maintainable code, collaborating with cross-functional teams, and tackling complex challenges using Python.
Transitioning into a Python developer role entails mastering Python fundamentals, gaining hands-on experience through projects or internships, networking with industry professionals, and showcasing relevant skills through a portfolio.
Python finds extensive applications in data science, facilitating tasks such as data manipulation, statistical analysis, machine learning, and visualization, driving solutions across diverse sectors like finance, healthcare, and e-commerce.
Python serves as a foundational language in artificial intelligence, powering tasks such as natural language processing, machine learning, and deep learning, with popular libraries like TensorFlow and PyTorch enabling the development of advanced AI models.
Major tech corporations like Google, Facebook, Amazon, and Netflix extensively utilize Python across various aspects of their operations, spanning from web development and data analysis to artificial intelligence and automation.
Python facilitates numerous functions within the finance industry, including algorithmic trading, risk management, quantitative analysis, and financial modeling, leveraging libraries like Pandas and NumPy for efficient data processing and analysis.
Certifications such as PCAP (Certified Associate in Python Programming) or PCPP (Certified Professional in Python Programming) offered by the Python Institute hold value for Python developers in Kampala, validating proficiency in Python programming skills.
Python developers in Kampala have promising job prospects across various industries, including technology, finance, healthcare, and e-commerce, reflecting the global demand for Python expertise and its applicability in diverse sectors.
In Kampala, DataMites acts as a guiding light for Python enthusiasts, providing them with a dynamic curriculum, experienced mentors, and adaptable teaching techniques. Whether individuals are starting from scratch or aiming to enhance their Python skills, DataMites offers hands-on projects and dedicated career support to propel their professional growth.
Choosing Python training with DataMites in Kampala ensures immersion in a meticulously designed program focused on mastering this versatile programming language to meet industry demands. The emphasis on practical learning guarantees the acquisition of relevant skills crucial for success in the field.
In Kampala, the Python Developer Course offered by DataMites spans four months, comprising 20 hours of live online sessions and 400 hours of self-paced learning.
Python Developer Training with DataMites in Kampala welcomes individuals from diverse educational backgrounds, including graduates, postgraduates, and high school graduates. The program caters to beginners, laying a solid foundation in Python fundamentals.
DataMites introduces the Flexi-Pass option for Python training in Kampala, providing participants with a three-month window to access training sessions. This flexibility allows individuals to address queries, revisit materials, and attend additional sessions as needed to achieve their learning objectives.
Embark on the DataMites Certified Python Developer Course in Kampala, a comprehensive journey covering fundamental to advanced Python concepts. Participants gain proficient skills essential for professional advancement.
Explore the Python for Data Science Course in Kampala by DataMites, tailored for individuals with diverse programming backgrounds. Essential topics include data manipulation, machine learning algorithms, and programming techniques crucial for insightful data analysis.
Delve into the Data Mining with Python Course in Kampala offered by DataMites, focusing on extracting valuable insights from extensive datasets for predictive analytics. This course equips learners with versatile skills for effective data analysis, a pivotal aspect of Data Science.
Embark on the Python for Machine Learning Course in Kampala with DataMites, where participants explore various machine learning algorithms and their practical applications using Python. Special emphasis is placed on leveraging the capabilities of the Scikit-Learn package.
Discover the Python for Deep Learning Course in Kampala by DataMites, delving into deep learning principles using Python and the Keras library. Participants navigate theoretical foundations and real-world applications across domains such as computer vision and natural language processing.
DataMites offers Python training with fees in Kampala ranging from UGX 622,989 to UGX 1,654,809, catering to various budget preferences.
DataMites offers Python courses in Kampala with integrated internships, allowing participants to gain practical experience and enhance their professional Python skills for career advancement.
Participants who complete Python classes with DataMites in Kampala earn the prestigious IABAC® certification, globally recognized for validating proficiency in Python programming.
To attend Python training sessions with DataMites in Kampala, participants must provide valid photo identification, such as a National ID card or driver's license.
Yes, DataMites integrates project elements into Python training in Kampala, offering participants the opportunity to work on 10 capstone projects and 1 client project. This hands-on approach allows them to apply Python skills in real-world scenarios and enrich their learning journey.
DataMites in Kampala addresses missed Python training sessions by providing access to recorded classes and course materials online. Additionally, arrangements for makeup sessions are available to ensure continuous learning.
Python developer training at DataMites in Kampala encompasses a comprehensive array of tools, including Anaconda, PyCharm, Flask, NumPy, Pandas, and Google Colab, providing participants with essential resources for effective Python development.
Individuals have the opportunity to participate in a complimentary demo class, allowing them to experience the training format and assess its suitability before enrollment.
Career mentoring sessions within Python training in Kampala, conducted by the DataMites Placement Assistance Team (PAT), are tailored to guide Data Science career pathways. They address challenges and offer strategic insights for success in the corporate landscape.
Indeed, DataMites offers assistance sessions designed to clarify specific Python concepts in Kampala, ensuring participants achieve a thorough understanding and confidence in their knowledge.
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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