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• Introduction of python
• Installation of Python and IDE
• Python objects
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
• Operator’s precedence and associativity
• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements
• Basic data structure in python
• String object basics and inbuilt methods
• List: Object, methods, comprehensions
• Tuple: Object, methods, comprehensions
• Sets: Object, methods, comprehensions
• Dictionary: Object, methods, comprehensions
• Functions basics
• Function Parameter passing
• Iterators
• Generator functions
• Lambda functions
• Map, reduce, filter functions
• NumPy Introduction
• Array – Data Structure
• Core Numpy functions
• Matrix Operations
• Pandas functions
• Data Frame and Series – Data Structure
• Data munging with Pandas
• Imputation and outlier analysis
• Oops basic concepts.
• Creating classes
• Inheritance
• Polymorphism
• Encapsulation and Abstraction
• Decorator
• 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
• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling
• What is web API
• Difference b/w API and web API
• Rest and soap architecture
• Restful services
• Introduction to Flask
• Flask application
• Open link flask
• App routing flask
• URL building flask
• Http methods flask
• Templates flask
• Setting up Project Environment and folders
• Working with Git Repository
• Requirements and Project Documents
• Hands-on Python Project coding
• Deploying the Application
Python is a programming language known for being high-level, interpreted, and general-purpose. Its notable features include simplicity and the ability to write code in a readable manner.
Python is a versatile programming language that can be used in a variety of industries, including web development, data analysis, scientific computing, artificial intelligence, and machine learning.
To become proficient in Python Programming, it is essential to have a strong foundation in programming fundamentals, including variables, data types, loops, and functions. Proficiency in using key Python libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization is also crucial. Understanding web development frameworks like Django and Flask is also important to excel in this field.
The Key tools required for Python Programming include a text editor or integrated development environment (IDE), such as PyCharm or VS Code, a Python interpreter, version control systems like Git, and libraries like NumPy, Pandas, and Matplotlib, which are essential for data visualization and manipulation.
Proficiency in Python is in high demand across a range of job roles, including software development, data analysis, machine learning engineering, web development, and scientific research.
A basic understanding of mathematical concepts and programming is considered a beneficial prerequisite for those interested in learning Python in Philadelphia.
The Python course fee in Philadelphia ranges from USD 36.99 to USD 489.32.
The length of Python training can vary depending on factors such as the course level, training intensity, and mode of delivery. Generally, a basic Python course can take anywhere from 4 to 10 weeks to complete, while an advanced course may require 10 to 15 weeks. However, the duration of online Python courses may differ slightly from those conducted in a traditional classroom setting.
The salary of a Python developer in Philadelphia ranges from USD 95,436 per year according to a Glassdoor report.
If you are seeking a top-rated institute in Philadelphia for Python training, DataMites is an excellent option. They offer a comprehensive Python training program that covers fundamental aspects of Python programming, suitable for both beginners and experienced learners looking to enhance their Python skills.
The salary of a Python developer in the Philippines is PHP 912,844 per year according to an ERI Economic Research Institute report.
DataMites Institute is a top-notch choice for individuals seeking Python training, given its comprehensive program, experienced trainers, and adaptable delivery methods. The institute's project-based and practical approach to learning makes it a preferred choice for learners interested in strengthening their Python skills. Moreover, DataMites provides placement assistance to its learners, adding to their career opportunities.
DataMites is an ideal institute to consider for Python training if you want to improve your Python skills and increase your career opportunities. The training program is extensive and led by skilled instructors, with flexible delivery modes to meet various learning requirements. Moreover, the program focuses on practical knowledge and includes hands-on projects that enable learners to gain valuable experience. DataMites also offers job placement support to learners, ensuring they can apply their newly acquired skills in the industry.
DataMites provides Python courses with varying durations to suit diverse learning requirements. The fundamental Python course takes around 4 to 6 weeks to complete, while the advanced course may require up to 12 weeks. The online Python course offers flexibility and self-paced learning, allowing learners to learn at their convenience. Additionally, DataMites offers a four-month Certified Python Developer Course in Philadelphia.
The fees for Python courses at DataMites in Philadelphia are flexible, starting from USD 246 to USD 380 while the Certified Python Developer Training costs range between USD 246 to USD 410.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
DataMites offers a program known as Flexi Pass, which enables learners to choose and attend any three courses from a broad range of courses provided by DataMites over a year. This program provides learners with the flexibility to select courses that align with their career goals and complete them at their own pace and convenience. Furthermore, Flexi Pass provides learners with access to webinars, workshops, and recording sessions, which can offer additional benefits for learners looking to broaden their skill set and knowledge in various fields.
DataMites provides learners with a complimentary demo class, which offers a brief overview of the training process and course content.
DataMites does not provide classroom-based Python training in Philadelphia; rather, they offer online training programs that allow learners to study at their own pace and convenience from any location. These online courses cater to both beginners and experienced learners and are taught by experienced trainers.
Upon successfully passing the certification exam, DataMites provides learners with certification that is widely recognized by various industries and organizations. This certification demonstrates the learners' proficiency in Python programming, which can enhance their career advancement and job opportunities. DataMites also offers assistance to learners in preparing for the certification exam, ensuring that they are well-equipped 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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