Python for Beginners Live Course infyni Kids

About Course

Python for Beginners Live by Infyni is a comprehensive and interactive learning program designed to introduce newcomers to the world of Python programming.

Led by experienced instructors, the course offers a structured curriculum that covers fundamental concepts and gradually progresses to more advanced topics. Through live sessions, hands-on projects, and a supportive community, participants gain practical skills and confidence in Python, setting a strong foundation for a professional journey in programming.

Here are 5 compelling reasons why beginners should choose Infyni's Python for Beginners program:

Structured Learning Path: Infyni's course offers a well-organized curriculum tailored for beginners. Starting with foundational concepts, it gradually progresses to more advanced topics, ensuring a smooth learning curve and preventing overwhelming information.
Experienced Instructors: Infyni's instructors are experienced in teaching Python to beginners. Their expertise helps simplify complex concepts, making them accessible and easy to understand, fostering a positive learning experience.
Interactive Live Sessions: Live sessions provide real-time interaction with instructors. You can ask questions, seek clarification, and receive immediate feedback. This interactive approach accelerates comprehension and minimizes confusion.
Hands-on Projects: Infyni often incorporates hands-on projects into their curriculum. These projects give beginners the chance to apply theory to practical scenarios, enhancing understanding and promoting skill development.
Supportive Learning Environment: Enrolling in Infyni's course gives beginners access to a supportive learning community. Interact with fellow beginners, share experiences, and collaborate on projects, creating a motivating environment that keeps you engaged and inspired.

In summary, beginners benefit from Infyni's structured curriculum, experienced instructors, interactive live sessions, hands-on projects, and a supportive learning environment, making it an excellent choice to kickstart their Python journey professionally.

Course Offerings

Instructor Led Live sessions
Clarify doubts during session
Access Session Recordings
Attend on mobile and Tablet
Assessments and Competition
Direct Messages
Feedback from Instructor
Full lifetime Resources
Certificate of Completion

Topics
Instructor (1)

1 Section 1: Basic Concepts

• fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting:• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• the print() function
• the input() function
• numeral systems (binary, octal, decimal, hexadecimal)
• numeric operators: ** * / % // + –
• string operators: * +
• assignments and shortcut operators

2 Section 2: Data Types, Evaluations, and Basic I/O Operations

• operators: unary and binary, priorities and binding
• bitwise operators: ~ & ^ | << >>
• Boolean operators: not and or
• Boolean expressions
• relational operators ( == != > >= < <= ), building complex Boolean expressions
• accuracy of floating-point numbers
• basic input and output operations using the input(), print(), int(), float(), str(), len() functions
• formatting print() output with end= and sep= arguments
• type casting
• basic calculations
• simple strings: constructing, assigning, indexing, slicing comparing, immutability

3 Section 3: Flow Control – loops and conditional blocks

• conditional statements: if, if-else, if-elif, if-elif-else
• multiple conditional statements
• the pass instruction
• building loops: while, for, range(), in
• iterating through sequences
• expanding loops: while-else, for-else
• nesting loops and conditional statements
• controlling loop execution: break, continue

4 Section 4: Data Collections – Lists, Tuples, Dictionaries and Set

• simple lists: constructing vectors, indexing and slicing, the len() function
• lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning
• lists in lists: matrices and cubes
• tuples: indexing, slicing, building, immutability
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items() and values() methods
• strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters

5 Section 5: Functions

• defining and invoking your own functions
• return keyword
• the None keyword
• recursion
• parameters vs. arguments
• positional keyword and mixed argument passing
• default parameter values

6 Training outcome:

Participant should have acquired basic level proficiency in python scripting and should be able perform functional programming.

7 Sample projects at basic level proficiency:

Project 1 : Database management
Project 2 : Bank Application

Uttam Saxena

About Instructor

I am a programming trainer with a mission to simplify programming for all. My working domain includes Python programming language, Django web application framework and data science essentials. My training strategy is to provide a hands-on learning experience and focus more on examples and projects. I am also welcome the project development task apart from training.

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