Python Full Stack Developer

Python Full Stack Developer course is offered by DataSpark. DataSpark is an exclusive Software training institute with the mission and vision to equip young minds to harness opportunities in the fastest growing data science industry. As we all know, data driven business is reaching its heights with tremendous momentum.

What You Will Learn:

• CORE PYTHON

• Introduction to Python

• What is Python-Why Python? -History-Applications -Features of Python Advantages Versions of Python-Installation – Compar isons b/w various programming languages C, Java and Python

• Operations

• Python Modes of Execution-Interactive mode of Execution-Batch mode of Execution- Editors and IDEs- Data Types, Constants, Variables and Comments-Es cape Sequences, String indices and slicing

• Operators

• Logical, Arithmetic, Comparison, As signment Operators-Shorthand As  signment OperatorsBitwise, Membershipand Identity Operators

• Different types of IDE’s

• Pycharm IDE Installation, Working with Pycharm, Components-Installing Anaconda, What is Conda? Anaconda Prompt,Anaconda Navigator, Jupyter Notebook, Jupyter Features, Spyder IDE, Spyder Features, Conda and PIP

• Control Statements

• Indentation in Python- Block/clause-Conditional Statements (if statement,if…else statement, if…elif…statement)

• Looping Statements

• for loop- while loop,- while… else,-RangeQ in for loop- Nested for loop- Break statementContinue statement- Pass statement

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• Python Strings

• Creating, indexing, slicing, Concatenation of String- String Comparison, splitting and joiningFinding SubStrings- String Case Change- Split strings- String methods

• Python Collections

• Introduction Lists, Tuples, Sets, Dictionaries -Operations on collections – Functions for collections – Methods of collection – Nested collections – Differences b/w list tuple and set and Dictionary

• Lists

• Properties Creation indexing and slicing – List Operations – Nested Lists – List Modification, List insertion and deletion List Methods

• Tuples

• Properties, Creation, indexing and slicing- Tuple Operations, Nested Tuples, Tuple MethodsDifferences b/w List and Tuple

• Sets

• Properties, Creation and Operations on Set- Mathematical Operations -Set Methods, Insertion and Deletion operation

• Dictionary

• Properties, Creation, Operations on Dictionary- Insertion and Deletion of elements- Differences b/w list tuple and set and Dictionary

• Functions

• Defining a function – Calling a function – Properties and Examples of Functions – Categories of Functions – Argument types – Variable Length – Arguments Variables –Passing collections to function Local and Global variables- Recursive Function functions to function Anonymous or Lambda function – Filter() and map Q functions

• Modules

• Module definition- types of module-User defined module- Setting path- The import statementNormal Import- From … Import- Module Aliases- Dir function- Working with Standard modules – Math,Random, Date time and os modules,

• Packages

• Definition for packages-Importing from packages , –init–.py file- Defining sub packagesImporting from sub packages

• Errors & Exception Handling

• Types of errors, Run-Time Errors, Compile-Time Errors, What is an Exception?-Use of Exception handling-Predefined Exceptions- Try, Except, finally blocks- Nested blocks- Dealing with Multiple Exceptions-User defined Exceptions-Raise statement

• File Handling

• Introduction-Different Types of Files in Python-File Opening-file Closing- Writing data to filesTell() and seek() methods-Reading a data from file- Appending data to files-With open stmtVarious functions

• OOPs Concepts

• OOPs Significance- Class-Object- Ab straction – Encapsulation – Static and non static variablesDefining methods-Difference between functions & methods-Constructors -Built -in attri butesObject Reference count-Destructor-Inheritance-Types of Inheritances-PolymorphismOverriding- Super() statement

• Regular Expressions

• Regular expression – Special characters- Formation of regular expression- Compiling regular expressions- Grouping- Match() function- Search() function-Matching vs searching- Replacing text – Splitting a string-Validations

• Database Access

• Basics-Installing database-Creation of database users – Installing database Python modules connection withdatabase- SQL queries-Retrieving data from Database- SQL queries Transaction Management-Handling with errors

• Python Date and Time

• Use Date & DateTime Class- Calendar in Python – Time and date Objects – Time and calendar Modules

• Operating System Module

• Introduction-Getcwd-Listdir-Chdir-Mk dir-rename file/dir-remove file/dir-Os help-Os operations