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| Item Details | Price | ||
|---|---|---|---|
40+ hours of training 
Live Project Based Training
Self-paced Instructor-Led 
Training by Industry expert
End-of-training Project 
Notes / Interview questions / Practice material
Full Lifetime access 
Accessible on Website and App
Certificate of Completion 
24X7 Support
Language: English,Hindi
Instructors: Rishabh Raj
Why this course?
The code readability of Python values it exclusively as one of the most extensively used programming languages in the enterprise. With Training Basket-Online, you’ll learn how to build, deploy, and scale programs in Python, with training that embraces everything from the fundamentals to deep-dive development. Follow our Python course in our learning path to further develop your skillset.
Python is an interpreted object-oriented programming language. It is an open-source, so the interpreter and source are easily accessible and distributable in binary form. Python has many built-in high-level data structures and utilizes dynamic typescript and binding, creating it an exceptional choice for both scripting and application development.
Programming in Python can be notably quick and prolific owing to the lack of a compilation step as well as the built-in debugger (also written in Python). Our learning path takes you from the basics of the Python language up to working with live projects.
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Your profession is defined by what you know and how well you know it.
With our platform, you can benchmark and show your knowledge, keep up among emerging trends, and develop in-demand skills in domains like DevOps, machine learning, cloud, security, and infrastructure.
Rishabh, Python & ML Expert
Rishabh is BITS Pilani alumini, Corporate Trainer and Python Guru at Training Basket. With an overall 5+ years of industry experience, He also has a very huge student base.
This isn’t canned learning. Its dynamic, its interactive, its effective
Every class will be followed by practical assignments which aggregates to minimum 60 hours.
Live project based on any of the selected use cases, involving implementation of the concepts
Lifetime access to Learning Management System (LMS) which has class presentations, quizzes, installation guide & class recordings.
Lifetime access to our 24x7 online support team who will resolve all your technical queries, through ticket based tracking system.
Access to the global community forum for all our users that further facilitates learning through peer interaction and knowledge
Cloud Lab has been provided to ensure you get real-time hands-on experience to practice your new skills on a pre-configured environment
Upon successful completion of this course, Training Basket will provide you with an industry-recognized course completion certificate which has a lifelong validity.
This course will give you a complete overview of our learning methodologies, enough to prepare you to excel in your next role as an expert. You will earn Training Basket certification that will attest to your new skills and on-the-job expertise. .
Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam.
| Course Outline | |||
| Course Delivery Plan | Preview | ||
| Resources | |||
| Python IDE and Editors | Preview | ||
| Tutorial | |||
| Variable Data Types in Python | Data Types in Python with Examples | Python Guru | Training Basket | |||
| Star Pattern Examples | |||
| Tkinter (GUI) | |||
| Tkinter (Calculator) | |||
| Tkinter (Weight Converter) | |||
| Tkinter (Password Generator) | |||
| Assesments | |||
| Python Quiz Level 1 | |||
| Python Quiz Level 2 | |||
| Python Quiz Complete | |||
| CoderByte_Link | |||
| Tasks | |||
| Python_Questions_1 | |||
| Python_Questions_2 | |||
| Python_Function_Questions | |||
| Python_Sorting_Questions | |||
| Links_For_Files_JSON | |||
| File_Link_for_Flask_Example | |||
| File_Link_For_CRUD_GUI_Tkinter | |||
| Live Classes | |||
| Day1_Python_Introduction | |||
| Day2_Data_Types_Numbers_String | |||
| Day3_String | |||
| Day3_List | |||
| Day4_Control_Flow | |||
| Day5_Loops | |||
| Day6_Loop_Practice | |||
| Day7_Set_Dictionary | |||
| Day8_Practice | |||
| Day9_Practice | |||
| Day9_List_Comprehension | |||
| Day9_BuiltIn_Functions | |||
| Day10_User_Defined_Functions | |||
| Day11_Practice_Functions | |||
| Day12_Lambda_FileHandling | |||
| Day13_File_Handling_Activity | |||
| Day13_Modules_Web_scraping | |||
| Day14_Exception_Handling | |||
| Day15_Selenium_Database_handling | |||
| Day16_JSON_module | |||
| Day17_Tkinter | |||
| Day18_Time_Complexity | |||
| Day18_OOP_Introduction | |||
| Day19_OOP | |||
| Day20_Django_Introduction | |||
| Class Session Material | |||
| Day1_Variable_Operators | |||
| Day2_Data_Types_Numbers_String | |||
| Day3_String_List | |||
| Day4_Typecasting_Control_Flow | |||
| Day5_Loops | |||
| Day_6_Loop_Practice | |||
| Day_7_Set_Dictionary | |||
| Day8_Practice | |||
| Day9_List_Comprehension_Function | |||
| Day10_User_Defined_Functions | |||
| Day11_Practice_Functions | |||
| Day12_Lambda_FileHandling | |||
| Day13_File_Handling_Activity | |||
| Day13_Modules | |||
| Day14_Exception_Handling | |||
| Day15_Selenium_Database_handling | |||
| Day16_JSON_module | |||
| Day17_Tkinter | |||
| Day18_Time_Complexity_OOP_Introduction | |||
| Day19_OOP | |||
| Day20_django_sample_project | |||
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