infyni

About Course

Python constantly levels as one of the most widespread programming languages.

This Live Python Masterclass will teach you Python in a very organized and structural way so that after completion of this course you are job-ready and be a professional in Python Programming.

Programming, as most people think is hard-coded language where prior knowledge of programming is required. But this is a very wrong interpretation. The good news is that it is not at all required to have any prior programming skills to learn Python. It is an easy language and you will be thrilled when you gradually learn it.

The Live Python Masterclass will also give you the opportunity to start your career in Data Analyst / Data Science field.

Unlike prerecorded sessions you will have interactive training.

Skills You Will Gain

Database connectivity with Python File Handling Exception Handling String data type Control flow statements

Course Offerings

Instructor-led interactive classes
Clarify your doubts during class
Access recordings of the class
Attend on mobile or tablet
Live projects to practice
Case studies to learn from
Lifetime mentorship support
Industry specific curriculum
Certificate of completion
Employability opportunity

Topics
Instructor (1)
Reviews

1 Proficiency Level: Beginner

2 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
comments
the print() function
the input() function
numeral systems (binary, octal, decimal, hexadecimal
numeric operators
string operators
assignments and shortcut operators

3 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

4 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

5 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

6 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

7 Sample projects at basic level proficiency

Project 1 : Database management
Project 2 : Bank Application

8 Proficiency Level: Intermediate to Advance

9 Section 1: lambda and recursive functions

lambda functions
map and filter functions
Recursive functions

10 Section 2: Modules and packages

Python modules and module namespace
import and from import
dir() and help() functions
Python packages and init py file

11 Section 3: File handling

Introduction to files
File objects and modes
Opening and closing files
Read and write operations
Context manager - with

12 Section 4: Working with directories

Directories and file path
os module
Making, changing and deleting directories
Listing directory and navigating file systems

13 Section 5: Exception handling

Handling exceptions with - try, except, raise and assert
Causing exceptions with - raise and assert
Creating your own exception class

14 Section 6: Advance file handling

Working with CSV (comma separated value) files
What are xml files?
Making XML files with custom tags
XML parsing with etree
What is JSON?
JSON parsing - dump and load methods

15 Section 7: Regular expressions

Introduction to re module
Special characters for pattern making
re functions and flags
String matching and pattern filtering

16 Section 8: Database connectivity

Introduction to SQL database
Common SQL query
Connecting with sqlite3 database and making cursor object
CREATE, INSERT, SELECT, UPDATE and DROP query

17 Section 9: Classes, objects and threads

Introduction to object oriented programming
Class variables and instance variables
Use of self and init ()
Class attributes

18 Section 10: OOPs concepts

Object oriented programming techniques in python
Inheritance and types of inheritance
Overriding and overriding rules
Method overloading or polymorphism
Operator overloading

19 Section 11: Multithreading

Introduction to threads
Creating and starting multiple threads

20 Sample projects at intermediate level proficiency

Project 1 : Data management with CSV files
Project 2 : Convert data from XML to CSV
Project 3 : Supermarket database management with regular expressions aeeza
Project 4 : MIS (Management Information System)

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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4

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Students

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Courses

(3)

Just completed Python programming live training with infyni. Trainer Uttam was very good at explaining. Have enrolled at infyni for the next course in Java.

Ravi Venkatasubramanian

April 11, 2023, 7:48 a.m.

Found infyni's live Python Programming really helpful in building confidence to return to workforce after a career gap. Instructor Uttam is knowledgeable & explains concepts patiently. Built my confidence. Recordings are accessible for life. Absolutely worth it!

Kanmani Alagusundaram

April 11, 2023, 7:46 a.m.

I was very happy with the live training in Python Programming that I enrolled in infyni. The quality of the training was very good. Unfortunately I couldnt complete it but I watch the live video recordings.

Maneesha Chelikani

April 11, 2023, 7:29 a.m.

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Python Programming

$36