Digital Lync

We provide Python training along side DJango / Automation / Data Sciences Our Curriculum is as follows Introducing Python Object Types The Python Conceptual Hierarchy Python’s Core Data Types Numbers Strings Pattern Matching Lists Dictionaries Tuples Files Numeric Types Numeric Literals Built-in Numeric Tools Python Expression Operators Integer Precision Complex Numbers Other Built-in Numeric Tools Fraction Type Sets Booleans The Dynamic Typing Interlude Variables, Objects, and References Shared References Shared References and In-Place Changes Shared References and Equality String Fundamentals String Basics String Literals Escape Sequences Represent Special Characters Basic Operations Indexing and Slicing String Methods Lists and Dictionaries Lists Basic List Operations Indexing, Slicing, and Matrixes Dictionaries Basic Dictionary Operations Tuples, Files, and Everything Else Tuples Files The Meaning of True and False in Python Introducing Python Statements Python’s Statements Handling Errors by Testing Inputs Handling Errors with try Statements Assignments, Expressions, and Prints Assignment Statements Augmented Assignments Expression Statements Print Operations if Tests and Syntax Rules if Statements Block Delimiters: Indentation Rules Statement Delimiters: Lines and Continuations Truth Values and Boolean Tests while and for Loops while Loops break, continue, pass, and the Loop else for Loops Loop Coding Techniques Iterations and Comprehensions Iterations: A First Look Manual Iteration: iter and next List Comprehension Basics The range Iterable The map, zip, and filter Iterables Multiple Versus Single Pass Iterators Function Basics Function Basics Coding Functions def Statements Polymorphism Revisited Local Variables Scopes Python Scope Basics The Built-in Scope The global Statement Scopes and Nested Functions nonlocal Basics Arguments Argument-Passing Basics Argument Matching Basics Argument Matching Syntax Generalized Set Functions Advanced Function Topics Function Design Concepts Recursive Functions Anonymous Functions: lambda Functional Programming Tools Comprehensions and Generations List Comprehensions and Functional Tools Generator Functions and Expressions Generator Functions: yield Versus return Generators Are Single-Iteration Objects Generation in Built-in Types, Tools, and Classes Modules and Packages Why Use Modules? Python Program Architecture Imports and Attributes Standard Library Modules Package Import Basics Why Use Package Imports? Package Relative Imports Classes and OOP Class Coding Basics Class Coding Details Operator Overloading Designing with Classes