Courses Description

Python emphasizes programming concepts and developing applications. Learning real-time concepts of Python programming, and front-end technologies like html, and CSS. Its language construct as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Course content

• Fundamentals of Python
  • Introduction to Python
  • What is coding?
  • Python Versions and Language.
  • Python Programming Cycle
  • GIT Introduction and Setup
  • Flowchart
  • Python command and script
  • Data Types
• Working with Numbers
  • Numerical variables
  • Basic Numerical Operation: Addition, Subtraction, Division, and Multiplication
  • Number Conversion Functions
  • Built-in Mathematical Functions
  • Types of conversion- int(), long(), Float()
  • abs, max, min, ceil, floor, round
  • Employ arithmetic operators
  • Integers, Floats
• Operators
  • Uses of Operators in Python
  • Membership Operators
  • String Operators
  • List Operators
  • Bitwise Operators
  • Identity Operators- in, not in
  • Assignment Operators
  • Logical Operators
  • Arithmetic Operators
• Python Data Types
  • Variables, Number, String, and Integers.
  • Assigning value for variable.
  • Triple and Float.
  • User Input.
  • Types of casting.
  • Boolean.
  • Multiple assignments.
• Python Containers
  Lists
  • Built-in Functions- cmp(), len(), min(), max()
  • List Operators +,*,[], in, not in
  • Python List Slicing.
  • Accessing elements in the list.
  • Deleting List items.
  • Loop list, Copy list, Join list, Sort list, Updating list.
  • Indexing and Matrixes.
• Tuples
  • Tuple Operators.
  • Creating a Tuple.
  • Tuple Functions cmp(), len(), max(), min().
  • Difference between Tuple and list.
  • Accessing Value in Tuple.
  • Deleting elements in Tuple.
  • Map, Filter, Reduce.
  • Tuple Methods.
  • Index and Slice Tuple.
  • Unpack Tuple, Loop Tuple, Join Tuple.
• Dictionary
  • Dictionary Functions and Operators.
  • Creating and processing Dictionary.
  • Difference between List and Dictionary.
  • Functions like len, keys, values, items.
  • Properties of Dictionary.
  • Changing and Removing Dictionary.
  • Nested and Loop Dictionary.
  • Accessing Dictionary elements.
  • Adding and removing Dictionary.
  • Date and time module.
• Sets
  • Introduction to Sets.
  • Methods of Sets.
  • Loop Set and Join Set.
  • Frozen set.
  • Adding and Removing Elements from a Set.
  • Union, Intersection, and Set Operations.
  • Built-in Functions with set.
  • Symmetric Differences.
  • Updating set.
• Control statements in Python
  • Conditional Statements- If, else, elif
  • Nested if statements.
  • Loop and Decision making.
  • For Loop. While Loop and Nested Loop.
  • Python Indentation.
  • Break and continue statements.
  • Iterators
  • User Input
  • Logical and Comparison Operators.
• Functions
  • Defining and aspects of Functions.
  • Creating a Function.
  • Calling a Function.
  • Anonymous Function.
  • Lambdas Function.
  • Types of User-defined Function.
  • Arguments in Function.
  • Positional and Non-Positional arguments.
  • Return statement.
  • Scope of variables- Local and Global variables.
  • Default Parameters.
  • Built-in Library Functions.
  • Docstring.
• Advance Concepts
  Exception Handling
  • Errors Handling
  • Types of exception.
  • Exception Handling- try, except, else, and finally.
  • Creating an Exception Block.
  • Assert Statements.
  • Pre-defined Exception.
  • Raise Exception.
  • Logging.
  • User-defined Exception.
  • Argument of an Exception.
  • Multiple Exceptions.
  • Chained Exception.
• File Handling
  • Introduction to files.
  • Opening and Closing files function.
  • Creating, Reading, and Writing files.
  • File functions- readline, readlines, write, writeline, seek, tell.
  • Iterate File.
  • Delete file.
  • Accessing Random Files.
  • Directories and Paths.
  • Temporary files.
• OOP (Object-Oriented Programming)
  • Basic concepts of OOPs
  • Types of classes.
  • Operator Overloading.
  • Differences between OOP and procedural programming.
  • Object methods.
  • Self, _init_,_name_,_dict_,_str_ .
  • Data hiding.
  • Overriding rules.
  • Instance and class variables.
  • Constructor, Inheritance, and Polymorphism.
  • Purpose of subclass.
  • Declaring inheritance.
  • Static methods
• Generators, Iterators, Threading, and Decorators
  • Yield and return statement.
  • String Iterator.
  • Generator Functions.
  • Uses of Decorators.
  • JSON, YAML file, CSV file, PDF concepts.
  • threading.main_thread(), threading.current_thread.
• Python Packages and importing Modules
• GUI Programming
• Database Connectivity
  • MongoDB, MySQL, Oracle
  • How to connect with the database.
  • SQL basic concepts.
  • NoSQL
  • Relational Database.
  • Update, Insert, and Delete.
  • Retrieving the data.
  • Functions like cursor, execute, fetch, and close.
  • Joins.
  • Aggregate Function.
  • Procedure.
  • Conditional statements.
• Overview and Framework of Django
  • Environment and Apps life cycle.
• Version control with Git
• Basic concepts of Numpy and Pandas

Why Choose Tops Technologies ?

Highlights of Our Python Course

• Engage in numerous coding exercises and real-world projects to solidify your understanding.
• Work on comprehensive projects that integrate multiple concepts learned throughout the course.
• Build a portfolio of projects that demonstrate your skills and knowledge.
• Receive help in crafting a standout resume and LinkedIn profile.
• Access exclusive job postings and opportunities within our network.
• Enhance crucial soft skills including effective communication, collaborative teamwork, and efficient time management.
• Personalized coaching, top-notch resume building, and exceptional interview preparation.