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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 general-purpose programming language that is interpreted and characterized by its high level of abstraction, readability, and ease of use in writing code.
Python is a versatile programming language that has a wide range of applications across different fields including but not limited to web development, data analysis, scientific computing, artificial intelligence, and machine learning.
In order to become proficient in Python programming, it is essential to have a strong grasp of basic programming concepts like data types, variables, loops, and functions. Furthermore, it is important to have expertise in using Python libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization. Knowledge of frameworks like Flask and Django for web development is also a significant asset.
To effectively work with Python programming, it is necessary to have access to certain tools such as a text editor or an integrated development environment (IDE) such as VS Code or PyCharm, a Python interpreter, version control systems like Git, and libraries like NumPy, Pandas, and Matplotlib that enable data manipulation and visualization.
The demand for Python proficiency is prevalent across various job roles including software development, data analysis, machine learning engineering, web development, and scientific research, among others.
A basic understanding of mathematical principles and programming concepts can be beneficial as a prerequisite for pursuing a Python course in Pittsburgh.
The Python course fee in Pittsburgh ranges from USD 36.99 to USD 489.32
The duration of Python training can vary depending on various factors including the level of the course, intensity of training, and mode of delivery. Generally, a basic Python course may take around 4 to 10 weeks to complete, whereas an advanced course may require 10 to 15 weeks. However, the duration of online Python courses may differ slightly from classroom-based training.
The salary of a Python developer in Pittsburgh ranges from USD 116,869 Per year according to a Indeed report.
DataMites is a top-rated institute in Pittsburgh that provides a comprehensive Python training program encompassing the fundamental aspects of Python programming. This training program is suitable for learners of all levels, including beginners and experienced professionals, making it an ideal option for those seeking to advance their Python skills.
DataMites Institute is an ideal choice for those looking for Python training as it offers a comprehensive program taught by experienced trainers through flexible modes of delivery. The institute's emphasis on practical learning through hands-on projects makes it an attractive option for learners seeking to improve their Python skills. Moreover, DataMites provides placement assistance, enhancing learners' career prospects.
DataMites is a great option to consider if you want to improve your Python skills and advance your career. Their training program is extensive, taught by expert trainers, and delivered flexibly to cater to various learning needs. Additionally, the training is hands-on and project-based, providing learners with valuable practical experience. DataMites also assists learners with job placement, ensuring that they can apply their newfound knowledge in real-world scenarios.
DataMites provides a range of Python courses in Pittsburgh, with different durations depending on the learners' requirements. The basic Python course generally takes around 4 to 6 weeks to complete, while the advanced course may take up to 12 weeks. The online Python course is self-paced and flexible, allowing learners to study at their convenience. Additionally, DataMites offers a four-month Certified Python Developer Course for learners who want to gain a comprehensive understanding of Python programming.
The fees for Python courses at DataMites in Pittsburgh are flexible, starting from LKR 53,634 to LKR 79,570 while the Certified Python Developer Training costs range between LKR 53,634 to LKR 124,540.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
The Flexi Pass program by DataMites enables learners to pick any three courses of their choice from a wide variety of courses available within a year. This program provides flexibility to learners to choose courses that align with their career goals and complete them at their own convenience. The program also offers access to webinars, workshops, and recording sessions, which can benefit learners seeking to broaden their skill set and knowledge in various fields.
DataMites provides a free demo class to give learners an idea of the training process and course content. This allows them to make an informed decision about whether to enrol in the Python training program.
DataMites does not provide classroom-based Python training in Pittsburgh but instead offers online training programs that allow learners to study at their own pace and from any location. These courses are suitable for both beginners and experienced learners and are taught by experienced trainers.
Upon completion of the Python training program at DataMites, learners who pass the certification exam are awarded a recognized certification that demonstrates their proficiency in Python programming and is recognized by various industries and organizations. This certification can provide a significant career boost and open up numerous job opportunities. DataMites also offers assistance to learners in preparing for the certification exam, ensuring that they are thoroughly prepared and confident in their skills.
You can make payment for DataMites' Python training Online using various methods such as cash, net banking, check, debit card, credit card, PayPal, Visa, Master card, and American Express.
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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