Python Developer Course

Transcription

1 Python Developer Course Job Support Complete Practical Real-Time Scenarios Resume Preparation Lab Access Complete Practical & Real-time Training Training Highlights Placement Support Support Certification Interview Preparation Material, Practice Labs 100% Placement Assistance Trainer: Mr. Sekhar is a Database Developer and Consultant, Microsoft Certified Trainer with more than 14 years of expertise on SQL Server, Business Intelligence (MSBI) and.net. He delivers various Corporate Trainings to many MNCs including Infosys, MindTree, ADP, Infotech, PrimeHealth. Trainer Our latest Invoices & Purchase Orders For Free Demo: Call us on INDIA: , USA: To speak to Trainer: you can visit our SR Nagar office any day at 1 PM or at 8 PM. Free Career Guidance and Trainer sync-up classes every Saturday at 11 AM. Revision, Mock Interviews, Interview & Resume Classes Every Saturday

2 Python Developer Training Plans Plan A Plan B Course Duration Completely Practical Mock Interviews Real Time Project Python Developer Advanced Python X Database Basics X Joins, Sub Queries X PL SQL Training X Course Fee INR 8,000/- USD 120 ** Resume Preperation, Mock Interviews are included in every plan. ** Chapter wise Mock Interviews are included in every plan. INR 12,000/- USD 200 Module 1: Core Python CHAPTER 1 : INTRODUCTION TO SCRIPT What is Script? What is a program? Types of Scripts Difference between Script & Programming Languages Features of Scripting Limitation of Scripting Types of programming Language Paradigms Basic understanding of Python Python and Other programming languages CHAPTER 9 : Python LOOPS How to use While Loop How to use For Loop How to use For Loop for set of other things besides numbers Break statements in For Loop Continue statement in For Loop Enumerate function for For Loop Practical Example How to use for loop to repeat the same statement over and again Break, continue statements

3 CHAPTER 2 : INTRODUCTION TO PYTHON What is Python And Why Python? Who Uses Python? Characteristics of Python History of Python What is PSF? Python Versions How to Download & Install Python Install Python with Diff IDEs Features and Limitations of Python Python Applications Creating Your First Python Program Printing to the Screen Reading Keyboard Input Using Command Prompt and GUI or IDE Python Python first program Compilers VS interpreters CHAPTER 4 : PYTHON NEW IDEs PyCharm IDE How to Work on PyCharm PyCharm Components Debugging process in PyCharm PYTHON Install Anaconda What is Anaconda & Coding Environments? Spyder Components and Features Spyder Shortcut Keys Jupyter Notebook What is Conda and Conda List? Jupyter and Kernels What is PIP? CHAPTER 5 : Variables in Python What is Variable? Variables in Python Constants in Python Variable and Value Variable names Mnemonic Variable Names Values and Types What Does Type Mean? Multiple Assignment Python different numerical types Standard Data Types CHAPTER 10 : Learning Python Strings Accessing Values in Strings Various String Operators Some more examples Python String replace() Method Changing upper and lower case strings Using join function for the string Reversing String Split Strings CHAPTER 11 : Sequence or Collections in Python Strings and Unicode Strings Lists and Tuples Buffers and Xrange CHAPTER 12 : Python Lists Lists are mutable Getting to Lists List indices Traversing a list List operations List slices List methods Map, filter and reduce Deleting elements Lists and strings CHAPTER 13 : Python TUPLE Advantages of Tuple over List Packing and Unpacking Comparing tuples Creating nested tuple Using tuples as keys in dictionaries Deleting Tuples & Slicing of Tuple Tuple Membership Test Built-in functions with Tuple Dotted Charts

4 Operators and Operands Order of Operations Swap variables Python Mathematics Type Conversion Mutable Versus Immutable Objects CHAPTER 6 : String Handling What is string? String operations String indices Basic String Operations String Functions, Methods Delete a string String Multiplication and concatenation Python Keywords Python Identifiers Python Literals String Formatting Operator Structuring with indentation in Python Built-in String Methods Define Data Structure? Data Structures in PYTHON CHAPTER 7: Python Operators and Operands Arithmetic Operators & Relational Operators Comparison Operators Python Assignment Operators Short hand Assignment Operators Logical Operators or Bitwise Operators Membership Operators Identity Operators & Operator precedence Evaluating Expressions CHAPTER 8 : Python Conditional Statements How to use if condition if statement (One-Way Decisions) if.. else statement (Two-way Decisions) How to use else condition if.. elif.. else statement (Multi-way) CHAPTER 14 : Python Sets How to create a set? Iteration Over Sets Python Set Methods Python Set Operations Union of sets Built-in Functions with Set Python Frozen set CHAPTER 15 : Python Dictionary How to create a dictionary? PYTHON HASHING? Python Dictionary Methods Copying dictionary Updating Dictionary Delete Keys from the dictionary Dictionary items() Method Sorting the Dictionary Python Dictionary in-built Functions Dictionary len() Method Variable Types Python List cmp() Method Dictionary Str(dict) CHAPTER 16 : Python Functions What is a function? How to define and call a function in Python Types of Functions Significance of Indentation (Space) in Python How Function Return Value? Types of Arguments in Functions Default Arguments Non-Default Arguments Keyword Arguments Non-keyword Arguments Arbitrary Arguments Rules to define a function in Python Various Forms of Function Arguments Scope and Lifetime of variables Nested Functions

5 When else condition does not work How to use elif condition and nested if. Call By Value, Call by Reference Anonymous Functions/Lambda functions Module II: Advance Python CHAPTER 17 : Python Modules What is a Module? Types of Modules The import Statement The from import Statement..import * Statement Underscores in Python The dir( ) Function Creating User defined Modules Command line Arguments Python Module Search Path CHAPTER 18 : Packages in Python What is a Package? Introduction to Packages? Importing module from a package Creating a Package and sub package Importing from Sub-Packages Popular Python Packages CHAPTER 19 : Python Date and Time How to Use Date & Datetime Class How to Format Time Output How to use Time delta Objects Calendar in Python Datetime classes in Python How to Format Time Output? The Time Module and Calendar Module Python Text Calendar & HTML Calendar Class Unix Date and Time Commands CHAPTER 20 : File Handling What is a data, Information File? File Objects and File Different Modes file Object Attributes How to create a Text File and Append Data CHAPTER 27 : Python-Data Base Communication What is Database? Types of Databases? What is DBMS and What is RDBMS? What is Big Data? Types of data? Oracle and MySQL SQL server, DB2 and Postgre SQL Executing the Queries Bind Variables Installing of Oracle Python Modules Executing DML Operations..!! CHAPTER 28 : Multi-Threading What is Multi-Threading Threading Module Defining a Thread Thread Synchronization CHAPTER 30 : Web Scrapping The components of a web page Beautiful Soup Urllib2 HTML, CSS, JS, jquery Data frames PIP Installing External Modules Using PIP CHAPTER 31 : Unit Testing with PyUnit What is Testing? Types of Testings and Methods? What is Unit Testing? What is PyUnit?

6 How to Read a File and Closing a file Read, read line,read lines, write, write lines!! Renaming and Deleting Files Directories in Python Working with CSV files Handling IO Exceptions CHAPTER 21 : Python OS Module Shell Script Commands Various OS operations in Python Python File System Shell Methods Different Python Modules Os, Math, cmd, csv, random NumPY ( numerical python ) Pandas, Sys, MatPlotLib, Datetime, Time CHAPTER 22 : Python Exception Handling Common Run Time Errors in PYTHON Abnormal termination Chain of importance Of Exception Exception Handling functions Argument of an Exception Python Custom Exceptions Ignore Errors & Assertions Using Assertions Effectively CHAPTER 23 : More Advanced PYTHON Python Iterators and Python Generators Python Closures and Python Decorators CHAPTER 24 : Python Class and Objects Introduction to OOPs Programming Object Oriented Programming System Creating Objects, Class and Instance Variables Basic concept of Object and Classes Access Modifiers How to define Python classes Python Namespace Self-variable in python Garbage Collection What is Inheritance? Types of Inheritance? How Inheritance works? Test scenarios, Test Cases, Test suites CHAPTER 32 : Introduction to Python Web Frameworks Django Design Advantages of Django Installing Django & Designing Web Pages HTML5, CSS3, Angular JS PYTHON Flask & PYTHON Bottle PYTHON Pyramid & PYTHON Falcon CHAPTER 33 : GUI Programming-Tkinter Introduction Components and Events Adding Controls Entry Widget, Text Widget, Radio Button, Check Button List Boxes, Menus, Combo Box CHAPTER 34 : Data Analytics Introduction to data Big Data? Introduction to NumPY and SciPY Introduction to Pandas and MatPlotLib CHAPTER 35 : Introduction to Machine Learning with PYTHON What is Machine learning? Machine Learning Methods Predictive Models Descriptive Models Steps used in Machine Learning? What is Deep Learning? CHAPTER 36 : Data Science What is Data Science? Data Science Life Cycle?

7 Python Multiple Inheritance Overloading and Over Riding Polymorphism, Abstraction, Encapsulation Built-In Class Attributes CHAPTER 25 : Python Regular Expressions What is Regular Expression and Syntax? Understanding Regular Expressions and Pattern Literal characters & Repetition Cases Example of w+ and ^ Expression Example of \s expression in re.split function Using regular expression methods Using re.match() Finding Pattern in Text (re.search()) Using re.findall for text Python Flags & Methods of Regular Expressions CHAPTER 26 : Python XML Parser What is XML? Difference between XML and HTML Difference between XML and JSON and Gson How to Parse XML and How to Create XML Node Python vs JAVA and XML and HTML What is Data Analysis What is Data Mining Analytics vs Data Science CHAPTER 37 : Internet of Things IMPACT OF THE INTERNET What is IOT History of IoT What is Network? What is Protocol? What is smart? How IoT Works? The Future of IoT Real-Time Project Explanation Oracle SQL & PL SQL Course Content CHAPTER 1 : INTRODUCTION TO DBMS What is Data and Information? Purpose of Data Management File and File System For Data Storage Disadvantages of File Data Management Database : Purpose, Basic Terminology Advantages of Database for Data Storage Possible Operations on the Database Database Models Hierarchical Model Network Model and Relational Model Introduction to DBMS and RDMS Database Design Real-time Database Examples (LIVE) CHAPTER 9 : CONSTRAINTS & KEYS Level I Importance of Data Integrity Working with Integrity constraints Types of Integrity Constraints Domain Integrity Constraint and Usage Entity Integrity Constraints and Usage Referential Integrity Constraint and Usage Check Constraints and Usage NOT NULL Constraint, UNIQUE Constraint PRIMARY KEY Constraint and Usage FOREIGN KEY Constraints and Relations

8 CHAPTER 2: ORACLE INSTALLATION Oracle 2018 Installation Guidance Oracle 2012 Installation Installation Pre-Requisites and Precautions Oracle Sql Developer Oracle Sql Command prompt Oracle Versions and Editions Comparisons Connect Sql Developer Tool Creating a new User and Grant permission Lock and Unlock User Account Reset User Account Password SQL* Plus How to Establish the Oracle Connection Default System, Sysdba user in Oracle CHAPTER 3: INTRODUCTION TO RDBMS Features and Advantages of RDBMS E.F Codd Rules for RDBMS Normalization Concepts & Process Client Server Communication Oracle Corporation Products RDBMS from Other Vendors Oracle Versions about SQL & SQL*PLUS Database Types: OLTP & OLAP Databases Real-world Advantage of OLTP & OLAP Database Entities and Attributes Applicative use of RDBMS Databases CHAPTER 4 : SQL LANGUAGE COMMANDS Structured Query Language (SQL) Basics What is SQL? What Can SQL do? Possible Operations with SQL Data Definition Language (DDL) Data Retrieval Language (DRL) Data Manipulation Language (DML) Transaction Control Language (TCL) Database Security and Privileges (DCL) Rules of SQL Queries and Statements Real-world applicative uses of SQL CHAPTER 10 : CONSTRAINTS & KEYS (Level II) Multiple Constraints on Columns Adding Constraints to Tables Enabling - Dropping Constraints Disabling Constraints on Tables Querying for Constraints Information Data Validations using Constraints Constraints Limitations and Usage System Table User Constraints Column Level Constraints Table level Constraints Self Referential Key Constraints CHAPTER 11 : QUERIES & JOINS Need for Joins and Table Comparisons SET Operations on Tables and Joins Join Types : Equi Join, Simple Join Inner Join and Query Conditions Cross Join (Cartesian Join), Conditions Non-Equi Join and Self Join Outer Joins Types, Advantages and Usage Cross Joins Advantages and Limitations Self Joins, Merge Joins and Sub Queries Using Aliases in Joins and Conditions Using Inner Self Joins with HAVING JOINS and GROUP BY Queries CHAPTER 12 : SUB QUERIES, NESTED QUERIES Sub Queries in Real-world Dynamic Conditions with Sub Queries Sub Queries and Nested Sub Queries How does oracle Execute Nested Sub Queries? Inner Select and Outer Select Queries Usage of Sub Queries with WHERE, HAVING Impact of Having Clause in Sub Queries Select Nth Highest salary Select and Delete Duplicate Records Advantages of Oracle Sub Query Sub query in the Select Clause Examples

9 Sub query in the From Clause Examples CHAPTER 5: SQL BASICS Creating Users and Tables Table Data Inserts and Validations Oracle Data Types DDL Commands with Examples CREATE, ALTER, TRUNCATE,DROP,RENAME Learn the DESCRIBE command to display the table structure DML Command DRL Commands Operators INSERT, UPDATE, DELETE Statements Difference between Truncate and Delete commands SELECT Statements with Multiplier SQL Comments Single Line Comments & Multi Line Comments WHERE Keyword for Query Conditions CHAPTER 6.SQL SPECIAL OPERATORS SET, AND, OR, NOT, IN Special Operators IN (NOT IN) BETWEEN (NOT BETWEEN), Arithmetic and Logical Operators Understand Operator Precedence UNION, UNION ALL, INTERSECT, MINUS LIKE (NOT LIKE), IS NULL (IS NOT NULL) Understanding DCL and TCL Commands Transaction Concepts in Databases with SQL Transaction Types and Uses Commit and Rollback Operations Nested Transactions with Save points Database Read Consistency with SQL DDL and DML Operations with Transactions CHAPTER 7: GROUPING QUERY RESULTS Identify Distinct Values in Tables CHAPTER 13 : SUB QUERIES, CORRELATED QUERIES Display Odd Rows in a table Display Even Rows in a table Execution of Correlated Sub Queries in SQL IN, ANY SOME, ALL Operators in Sub Queries PAIR WISE and NON PAIR WISE in Sub Queries Single Row Sub query Multiple Row Sub query Multiple Column Sub query Uncorrelated Sub query Difference between Correlated and Non- Correlated Sub query How does Oracle Execute Correlated Sub query? NULLs and Correlated Sub Queries in SQL Data Retrieval with EXISTS, NOT EXISTS CHAPTER 14 : VIEWS, SYNONYMS,SEQUENCES VIEWS IN ORACLE, Understanding Views Relational Views and Standard Views SIMPLE VIEWS & COMPLEX VIEWS in PLSQL Column Definitions in VIEWS Using VIEWS for DML Operations Forced Views, CHECK Constraints in Views Creation of READ ONLY VIEWS - Real time TOP-N Analysis, (Indexed) Materialized Views Sequences, Working with Synonyms What is the Use of Synonym in Oracle? Difference b/w View & Synonym in Oracle When should Table Synonyms be used? Types of Synonym Public Synonym and Private Synonyms All_Synonyms, Dba_Synonyms, System Tables Creating Index Tables Purpose CHAPTER 15 : PERFORMANCE (QUERY) TUNING

10 Group Function or Aggregate function Group By Syntax Group By Operations in Queries Having Clause of DRL Statements Aggregate Functions with Group By Order By Clause and Group By SQL Group By Statement Query Execution Order with Group By CHAPTER 8 : BUILT-IN FUNCTIONS in SQL Arithmetic Functions Character Functions Date & Time Functions Character, String Functions Conversion Functions General Functions OLAP Functions Rank(), Dense_Rank(),Row_Number() NVL(),NVL2(), NullIF(),Coalesce() Other Functions Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions Nest multiple functions Indexes - Definition and Architecture B Tree Concept in Indexes Clustered and Non clustered Indexes Primary Key and Clustered Index Unique Key and Non Clustered Indexes Simple Index Materialized Views - Indexed Views Composite Index and Function Based Index User_indexes System Table Rebuild Index Partitioning Tables using PL/SQL Working with Very Large Tables Range Partitions and Hash Partition Partition VALUES LESS THAN Clause List Partition and Composite Partition Parallel Query Process with Partitions Performance Tuning Advantages CHAPTER 16 : PL/SQL (PROCEDURE LANGUAGE SQL) Introduction to Programming Languages Introduction & Advantage of PL/SQL PL/SQL Architecture, PL/SQL Data types Difference between SQL and PL/SQL PL-SQL Programming Structure How PL/SQL Works? Example of PL/SQL Features Simple PL/SQL Programs Printing Variables DBMS_Output Package Usage The %TYPE Attribute and %ROWTYPE Attribute Variable and Constants, Using Built-in Functions Conditional and Unconditional Statements Advanced PL SQL Course Content CHAPTER 17 : PL/SQL (CONTROL STRUCTURE) - Level I Simple If, If..Else. Nested If..Else Statements Ladder, Selection, Simple Case Statements CHAPTER 21 : ADVANCED PL/SQL - 2 Cross Tab Views using Pivot/Unpivot Operators Follows Clause and READONLY Tables IN-LINE VIEWS. Manipulations with Triggers

11 GOTO Label and EXIT Statements in PL/SQL Iterations in PL/SQL, Simple LOOP, WHILE FOR LOOP and NESTED LOOPS in PLSQL Overview of PL/SQL Control Structures PL/SQL Select statements PL/SQL Delimiters Iterations in PL/SQL, Simple LOOP, WHILE FOR LOOP and NESTED LOOPS in PLSQL CHAPTER 18 : PL/SQL (CONTROL STRUCTURE) Level II SQL within PL/SQL, Composite Data Types Cursor Variables & Management in PL/SQL Implicit & Explicit Cursors and Attributes Cursor with Parameters and Nested LOOPs Cursors Sub Queries, Reference Cursors Types of Cursors, Implicit Cursors Explicit Cursors, Parameterized Cursors Record & PL/SQL Table. Real-time Use What are Oracle-Supplied Packages? Examples - Some of the Oracle-Supplied Packages How Does the DBMS_OUTPUT Package Work? CHAPTER 19: LOCKS in ORACLE TABLES Open Transactions and Lock Concepts Lock Types and Locking Mechanism Row Level Locks for Table Data Access Table Level Locks and Query Blocking Shared Lock and Real-time Use Shared Update Lock and Real-time Use Exclusive Lock and Real-time Use DeadLock:Detection,Prevention, Avoidance Implicit Locking Concepts with PLSQL How to check how many locks are occurred? LOCK Hints and Query Blocking Purity Levels in Oracle - with Examples User_Source Dictionary Table Packages Creating PACKAGE Specifications with PLSQL PACKAGE Body - Examples with Big Data Tables Private and Public Objects in PACKAGE Types of Exceptions: User Defined Exceptions EXCEPTIONS in PL/SQL with Real-time Event Handling and Error Handling Techniques Important Error Code Values in PL/SQL RAISE_APPLICATION_ERROR Procedure CHAPTER 22 : ADVANCED PL/SQL - 3 Pragma_Autonomous_Transaction() with SPs Returning into clause, Bulk Collect For All, Definer/Invoker Rights & Usage About Flash Back Queries, Dynamic SQL Flash Back Command, Purge Command Regular Expressions in PLSQL What is the Recycle Bin? How to Delete Recycle Bin Table? How to Delete Recycle Bin? SQL Loader Abstract Data types DML Error Logging and Virtual Columns CHAPTER 23 : ADVANCED PL/SQL - 4 Types of Triggers, Row Level Triggers Statement Level Triggers, DML Triggers DDL Triggers and Schema Level Triggers Using OLD & NEW References, Trigger Auditing Enabling / Disabling Triggers, Dropping Triggers Triggers in PL/SQL and Data Manipulations Using Memory Tables in Triggers DML and DDL Events with Triggers Compound Triggers, New data types Working with LARGE Tables in PLSQL New: EXTRACT(), Autonomous Transaction

12 CHAPTER 20 : ADVANCED PL/SQL - 1 Procedures in PL/SQL: STORED PROCEDURE Parameters (IN, OUT, IN OUT) POSITIONAL Notation and NAMED Notation Procedure with Cursors and Sub Queries ALTER and DROP of Stored Procedures Functions in PL/SQL: Real-time Usage User Defined Functions, Nested Functions Using Functions in SQL Statements Working with Procedures and Functions Comparing Stored Procedures and Functions Using SPs with Table Value Functions Using SPs for Dynamic SQL Statements Loops and Table Variables in SQL Programs Merge, NVL2(), NULLIF(), COALESCE() CASE & Temporary /Global Tables CHAPTER 24: IMPLEMENTING OBJECT TECHNOLOGY Level I Object Technology and Applicative Use OOPS-Object Instances, Creation of Objects Creating User Defined Data Types Creating Object Tables in Oracle Inserting rows in Table using Object Retrieving data from Object Based Tables Calling a Method, Indexing Abstract Data type Attributes in PLSQL Advantages of Collections CHAPTER 25: IMPLEMENTING OBJECT TECHNOLOGY Level II Ref Cursor (Dynamic Cursor), Weak Ref Cursor Strong Ref Cursors and Nested Tables Associative Arrays, VARRAYS/VARYING arrays Creating tables using Nested Tables Inserting, Updating & Deleting Nested, Table Records Perform a Basic Search using the REGEXP_LIKE function Patterns using the REGEXP_INSTR function Extract Substrings using the REGEXP_SUBSTR function Replace Patterns Using the REGEXP_REPLACE REAL-TIME PROJECT As a part of this Oracle PL-SQL Course, we shall work on a Real-world BANKING Project, The project includes about 3000 Lines of Code (COMPLETELY SOLVED). Phase 1: DATABASE DESIGN Understanding OLTP Requirements, End to End Project Planning, Work Flow, Naming Conventions in Real-time, User Creations, Table Creations, Relations, Implementing Normal

13 Forms, Creating Data Sheets, Test Data, Creating Synonyms - Security Advantages, Using Synonyms for Object Access. Phase 2: QUERY DESIGN Joining Tables for Reports, Query Design and Tuning, Views with JOIN Options, Implementing Views, Credit / Debit Reports, Customers & Accounts Reports, Transactions Reports, Active Customers, Ledgers, Customer Address, Branches. Phase 3: PROGRAMMING Automating DML Operations, Using Views for Data Inserts, Using Triggers with Views, Transactional Codes in PL- SQL, Debits and Credits Logic, Event Handling Mechanism, Error Handling Mechanism, Stored Procedures for DMLs, Stored Procedures with Triggers. Phase 4: RESUME PLANNING + PROJECT ORIENTED INTERVIEW QUESTIONS For Free Demo, please call or us [24x7] Reach Us: contact@sqlschool.com Skype: SQL School Training Institute Website: Call Us: India : USA: All Session Are Completely Practical and Real Time For courses, please visit: For LIVE Online Training, please visit: For Classroom Training, please visit: For Video Training, please visit: