FullStack Python Training

In the fast-evolving world of software development, fullstack developers are in high demand for their ability to handle both front-end and back-end aspects of web applications. If you aspire to become a proficient Python fullstack developer, iHub Talent is your ideal learning destination. Our Python fullstack training in Hyderabad is meticulously designed to meet industry demands and equip you with the skills needed for a successful career in software development.

Why Python Fullstack Development?
Python is one of the most versatile and widely-used programming languages in the tech world. Its simplicity, scalability, and robust libraries make it a favorite for both beginners and experienced developers. Combined with its ability to integrate seamlessly with modern front-end and back-end frameworks, Python has become a cornerstone for fullstack development. A Python fullstack developer is skilled in handling all layers of an application, from user interfaces to databases, ensuring a seamless development process and better team collaboration.
https://ihubtalent.com/full-stack-python-training/

Comprehensive Course Curriculum
At iHub Talent, our Python fullstack training covers a wide range of topics to ensure you gain expertise in both front-end and back-end development. Our comprehensive curriculum includes:

Front-End Development
Master HTML, CSS, and JavaScript for building responsive and interactive web interfaces.
Learn popular front-end frameworks like React.js or Angular to create dynamic user experiences.
Back-End Development
Dive deep into Python and its frameworks such as Django and Flask, widely used for building robust back-end applications.
Understand database management with MySQL, PostgreSQL, and MongoDB, ensuring efficient data handling and retrieval.
Fullstack Integration
Learn how to integrate front-end and back-end seamlessly, creating fully functional web applications.
Gain expertise in APIs and RESTful services for enhanced application communication.
Tools and Best Practices
Explore version control with Git and collaboration platforms like GitHub.
Understand Agile development methodologies and follow industry best practices for clean and efficient coding.
Hands-On Learning Approach
At iHub Talent, we believe in experiential learning. Our training program incorporates:

Live Projects: Work on real-world projects to understand practical applications and build a strong portfolio.
Case Studies: Analyze real industry challenges and learn problem-solving techniques.
Mock Interviews: Prepare for job opportunities with mock interviews and coding tests.
This hands-on approach ensures that you are not just learning concepts but also applying them in realistic scenarios.

Experienced Trainers
Our trainers are industry veterans with extensive experience in Python fullstack development. They bring their expertise and insights to the classroom, providing valuable guidance and mentorship. Their practical knowledge ensures that you learn industry-relevant skills and stay updated with the latest trends.

Why Choose iHub Talent?
Comprehensive Training: A well-rounded curriculum covering all aspects of Python fullstack development.
Flexible Learning Options: Online and offline classes to suit your schedule.
Placement Assistance: Dedicated support to connect you with leading tech companies and startups.
Collaborative Learning Environment: Small batch sizes ensure personalized attention and an interactive learning experience.
Kickstart Your Career Today
Located in Hyderabad, a hub for technology and innovation, iHub Talent provides the perfect platform to launch your career. Our strong industry connections and robust training program ensure that you are job-ready and confident to take on challenging roles as a Python fullstack developer.

Join iHub Talent today and transform your aspirations into achievements. With our expert guidance and practical approach, your journey toward becoming a successful Python fullstack developer begins here!

Transcript

1. Root Map Aptitude Softskills Angular 1 3 4 5 10 7 8 9 Flask 6 2 Advance Python React Django Core Python HTML, CSS, BS, JS Written Tests Mock Interviews Presentations Internship Fullstack 81437 41509 a Python Developer Data Analysis Developer (DAD) a Data Engineer a Data Scientist Developer a IOT Developer a AI Developer a ML Developer a Python With Automation Developer a Django Developer a Angular Developer a ReactJS Developer a Fullstack Developer With Python a Fullstack Python Positions Are Waiting In IT Training & Internship powered by 17 17 17 LPA 2024 NEW CURRICULUM BOOK Google Trends Report - 2024 MySQL 11 Technical Training Aptitude Softskills Practicals LPA
2. LPA Service Pack Manikanta LPA Codetrue Harish 4.7 4.8 LPA Quest global Aditya 3 LPA Perenial Codeit Solution Chandu Teja LPA Truminds 4.8 Veerababu 4.5 LPA PragmaEdge 4 Feroz LPA Codetrue 4.7 Sandeep 56 Dollar Per Hour Wallmart LPA NavSoft 7 Bittu Kumar B Kuruva Dastagiri 17 17 17 LPA LPA Recently Placed Students truminds LPA 4 LPA 3.5 Chetan Exousia International K Venkata Siva LPA LPA 3 4 Potla Tech Solotion Chandra Shekar Tech Mahindra Bharathi Temenos Pvt Ltd LPA 6.1 DXC Technologies Pavan LPA 3.8 Hanna Marry LPA Suvarna Tech 3 accenture accenture Yogesh LPA 4.6 LPA 4.6 Charan LPA 3 Aliya Fatima RG2IT Solutions Hemanth LPA Accenture 4.6 M Anusha
3. Think Placements! Think iHub! Python Demo Date Python Demo Time Python Fee Python Duration Trainer Name : : : : : Offered Programs Offered Programs TRAINING (Offline / Online) 1. Any Graduate 2. By Realtime Experts 3. Live Project 4. Resume Preparation 5. Course Completion Certificate 6. 1 to 1.5Hr. per a Day 3Months 7. Offline / Online 8. No Backup videos Price K 25 +18% GST 1. Any Graduate 2. By Realtime Experts 3. Weekly Mock Interviews 4. Resume Preparation 5. Up to 3 Live Projects 6. 4 - 6 Hrs Daily Training 6Months 7. Offline / Online 8. Training Completion Certificate 9. Backup videos for 4mnths 10. Placement Assistance for 12months (JOIP) INTENSIVE Price 30K 30K + + 18% GST 1. Any Graduate 2. Must attend Mock Test 3. By Realtime Experts 4. 3Hrs.- Internship/3Hrs.-Training 1Yrs. 5. Live Project work assign by IT Staff 6. Preferred Offline / Online 7. Internship Completion Certificate 8. 6 - 8 Hrs Daily 9. Backup videos for 12mnths 10. Placement Assistance for 12months Price 60K + 18% GST Content Explanation I&I (intensive & Internship)
4. Python Internship Execution @RamanaSoft RamanaSoft Joining Document Requirements Degree/PG Certificates 2 Copies Inter Memo 2 Copies SSC Memo 2 Copies Adar Card 2 Copies Pan card 2 Copies 3 Passport Sizes photos ( Colour) Company Details: Ramana Soft Project Process Activity_Id Activity/Process Owner 1. Business Grooming 2. Functional Walk-thru 3. Make them to write Test cases 4. Execute Testing People 5. Report bugs to Dev(UI/Java) 6. Jira 7. Deployment 8. Regression Testing People Testing Process Agile Testing-Sprint 1,2,3,....N Sprint 1 Schedule Sprint-1 starts 1.Joining Formalities with HR 2.Providing Access a a Outlook Slack a a JIRA DB a Application URL access and VPN a Providing KT , Scrum call a Providing KT, Scrum call a Scrum call, Sprint grooming, Sprint planning a Scrum call, Analysing requirements a Analysis and Writing test scenarios, Scrum call a Writing Test cases, Scrum call a Writing Test cases, Scrum call a Getting review of test cases, Scrum call a Smoke testing, Scrum call a Execution of test cases, Scrum call a Execution of test cases, Scrum call a Execution of test cases, Retest, Scrum call a Retesting, Regression testing, Scrum call a Sprint-1 Closer Sprint review and retrospective meeting, Sanity check and QA sign off, Scrum call Planning for second sprint Tools a a a a Outlook Slack JIRA DB Meetings Internship
5. Quantitative a a a a a a a a a a a a a a a a a Aptitude & Reasoning Directions a Letter Series a Number Series a Coding - Decoding a Blood Relations a Statement and Assumption a Analogy a Odd Man Out Series a Venn Diagrams a Mirror Images a Water Images a Arranging in Order a Paper Folding / Cutting a Grouping a Counting the figures a Clocks a Calenders a Seating Arrangements a Bar Charts a Line Charts a Pie Charts a Table Charts a Data Interpretation Reasoning Aptitude & Reasoning
6. a English Skills: Basic Grammar – Parts of Speech, Preposition, Tenses, Usage, Auxiliaries and Modals, Sentence Formation and Phonics – Sounds, Pronunciation and Articulation a LSRW Skills: Listening, Speaking, Reading and Writing Skills, Techniques & Tips and its importance a Communication Skills: Types, Levels, Styles, 7 C’s, Barriers & How to overcome Barriers, Importance, Interpersonal Skills and Activities a Business Communication Skills: Telephone Etiquettes, How to Write Official Letters, Drafting Official Emails, Writing Memos & Blogs and Professional Ethics a Public Speaking Skills: Reduce Fear & Shyness, Openness & Transparency, Pre-Requisites for Public Speaking a Presentation Skills: Preparation, Tips & Techniques and Body Language a Employability Skills: Job Readiness – Resume Formats, How to Face Interview, PI / GD / JAM, Interview Questions, Power Dressing, Corporate Grooming, Goal Setting, Corporate Culture & Work Ethics VALUE ADDITION: a # International Tools: SWOT Analysis, SOAR Analysis, Transaction Analysis, Johari Window, IKIGAI Japanese Concept, Mind Mapping, and Enneagram Personality Type a # VERSANT + Voice & Accent Training with Accent Neutralization to reduce MTI and Regional Slang QUALITY IN SOFT SKILLS Soft Skills
7. FULL STACK Core u Python Introduction & setup environment u What are the software's required to learn python a. Python 3.7.0 version installation b. Visual studio code installation u An identifier(variable) a. What an identifier(variable) b. Rules for an identifier(variable) u Data types in Python a. Integer data type b. Floating data type c. String data type join() e len() e replace() e split() e strip() e rstrip() e lstrip() e upper() e lower() e slice operator with + index e slice operator with - index e u Boolean data type u Complex data type u List data type List with their properties e append() e remove() e insert() e extend() e pop() e index() e sort() e sorted() e len() e copy() e clear() e u Tuple data type Tuple with their properties e max() e min() e len() e u Set data type Set with their properties e copy() e clear() e len() e intersection() e update() e union() e u An operators in Python a. Arithmetic operators c. Assignment operators d. Logical operators Logical and operator e Logical or operator e Logical not operator e u Equality operators u Comparison operators u Chaining operators u Ternary operators u Special type of operators Identity operators e Membership operators e u Bitwise operators Bitwise and operator e Bitwise or operator e Bitwise exclusive or e Bitwise complement operator e Bitwise left-shift operator e Bitwise right-shift operator e u Working with Input & Output functions a. Input() & print() functions e b. Working separator attribute e c. Working with end attribute e d. Formatted string e e.Replacement operator e u Command Line argument (CLA) in Python a. Working with sys module with argv variable b. argv variable with various operations u Control Statements in Python Decision making or conditional statements e If statement e nested if statement e if else statement e if elif else statement e u Dictionary data type Dictionary data type with their properties e keys() e values() e items() e popitem() e get() e copy() e clear() e update() e a. Bytes data type b. ByteArray data type c. Frozenset data type d. Range data type e. None data type f. Working with input() function with their rules g. Typecasting in python h. Working with eval() function with their rules
8. FULL STACK u Iterative statements for loop nested for loop e e while loop e nested while loop e u Transfer statements pass statement break statement e e continue statement e u Working with zip () function u List comprehension u Tuple comprehension u Set comprehension u Dictionary comprehension u Functional Programming language in Python a. What is function b. Types of functions c. Why do use functions in real time applications d. How to create a function in python e. What is __name__==””__main__” f. Formal parameters g. Actual parameters f. Arguments in function Positional argument e Default argument e Keyword argument e Variable length argument e Keyword variable length argument e Difference between *ob1j & **obj2 e u Nameless function Working with lambda keyword e filter() function map() function e e reduce() function e u Inner or Nested function u Packages in Python a. What is module b. What is package c. What is library d. What is framework e. How package is important in real world software's f. Complete structure of package g. Complete structure of nested package u Modular Programming Language in Python a. Why modular programming language b. Import & export data from one to another module c. Various possibility of import & export the data d. Working with reload () functions e. Working with math module f. Working with random module u Modular Programming Language in Python a. Why modular programming language b. Import & export data from one to another module c. Various possibility of import and export the data d. Working with reload () functions e. Working with math module f. Working with random module u Pandas Library a. What are pandas b. How to install pandas c. How pandas ruling in data science applications d. Working on Data Frame object e. Working with pandas predefine functions head() function tail() function e e max() function min() function e e count() function sum() function e e sum(1) function sort() function e e u Working with iterating methods in pandas a. Iteritems () b. Iterrows () c. Itertuples () u NumPy Library a. What is NumPy b. How NumPy is ruling in data science applications c. How to install NumPy d. Working with zero to nth dimension arrays e. What is ndim f. What is ndmin g. Slicing with numpy h. Working with shape attribute I. Working with reshape function j. Applying the loops on NumPy k. Working with predefine functions in NumPy u Advance Data Structure in python a. Working on Stack with their rules b. Working with Queue with their rules c. Working binary tree with their rules d. Working with linked list Single linked list e Double linked list e u Modular Programming Language in Python a. Why modular programming language b. üImport & export data from one to another module c. Various possibility of import and export the data d. Working with reload () functions e. Working with math module f. Working with random module u Pattern Examples u I mportant Interview Questions & Answers
9. FULL STACK u Object oriented Programming language in Python. a. What is class b. How to create class c. What is an object d. How to create an object e.What is constructor f. What is Instance method (Non static method) g. What is class method h. What is static method I. What is Instance variable j. What is Static variable k. What is Local variable l. Working with GC module m. Working with Inner classes n. hat is composition and aggregation Adv. e. Working with default exception f. Working with try & except & else & finally block g. Working with nested try & except & else & finally block h. Difference between try & finally block u Decorators in Python a. What is decorator b. Why decorator is required c. Working with @decor_name decorator d. Working with decor function u PBDC in python a. Why PDBC b. Working XAMPP tool for MySQL Database c. How to install MySQL. Connector drivers d. Performing all database queries u Generators in python a. What is generators b. Why do we require generators c. Working with yield keyword u Multi-Threading a. What is multi-threading b. Types of multi-threading c. What is Thread d. How many ways we can create thread in python e. How to improve the application performance with threading f. Synchronization and Asynchronization u Assertion in Python a. What is assertion b. Types of assertion c. Working with assert keyword to develop testcases d. Scripts for to perform debugging operations using assertion u Inheritance a. Duck-Typing b. Operator overloading c. Method overloading d. Method overloading with default argument e. Method overloading with variable length argument f. Constructor overloading g. Constructor overloading with default argument h. Constructor overloading with variable length argument I. Method overriding j. Constructor overriding Working on Encapsulation e Abstract method Abstract class e e Interface Concrete classes e e Access modifier e u File Handling in Python a. Why file is required b. What is file handling c. How to open a file d. Working with various modes of file e. Working with write() and write lines() f. Working with read() and read line() and read lines() g. Working with 'with' statement h. Working with pickling & unpickling I. Working with CSV module j. Working with Zipping and Unzipping k. Working with object serialization and object deserialization u Exception Handling in Python a. Types of errors in programming language b. What is exception c. What is main objective of an exception d. Working with try & except block u Web Scraping with Regular expression a. What is regular expression b. Working with re module in python c. Working with character classes d. Working with predefine classes e. Working with quantifiers f. Regex object for Indian mobile number g. Regex object for email h. Working with predefine functions match() fullmatch() e e search() findall() e e sub() subn() e e split() e I. What is web scarping j. How to fetch real time data using web scarping process
10. FULL STACK u HTML & HTML5 a. What are the software require to learn UI b. Working with Fav icon for our frontend c. Working with heading tag d. Working with formatted tag e. Working with paragraph tag f. Working with marquee tag g. Working with image tag h. Working with anchor tag I. Working with table tag j. Working with form and its components k. Developing the complete form with validation l. Working with HTML 5 tags m. Working with div tag u CSS & CSS3 a. What is CSS b. Types of CSS Inline CSS e Internal CSS e External CSS e c. What are selectors and its types Using tag-based selector e Using class-based selector e Using Id selector e Using group by selector e Using universal selector e d. Working with float property e. Working visibility property f. Working with display property Web development (UI or Front End) e none inline e inline-block e block e flux e g. Working with position property static e absolute e fixed e sticky e inherit e h. Working with media query u JavaScript a. Why JavaScript b. What is JavaScript c. How many ways we can JavaScript Inside the body tag e Inside the head tag e External JS e d. Working with variable declarations f. Working with document. Write() g. Working with console.log() h. Working Dialog boxes Alert() or window.Alert() e Comfirm() or window confirm() e Prompt() or window.promprt() e j. Working with Data types Primitive data type e Non primitive data type e k. Working with operators l. Working with control statements m. Working with events n. Working with functions o. Working with DOM p. Working with High order functions q. Working with promises in JS r. Working with OOPS in JS Creating a class e Creating an object e Constructor e Inheritance e Super keyword e Encapsulation e Prototypes e Polymorphism e u W hy bootstrap u W hat is bootstrap u F eatures of bootstrap u W hat is grid system u W hat are offset classes u W orking with typography u W orking with buttons u W orking with jumbotron u W orking with Progress bar u W orking with paginations u W orking with forms u W orking with cards u W orking with navbar tag u W orking with model u W orking with panel u W orking with validations states u W orking with toggle and collapse classes BOOTSTRAPT (4 & 5)
11. FULL STACK u P rerequest to learn Django u W hat is Django u F eatures of Django u H ow to create a project u H ow to create application u W orking with complete file structure in Django after creating Django project & application u How to create more than one application u H ow to create a urls.py file at application to improve performance u W orking with MVT design pattern u W orking with templates folder for frontend development u W orking with Static folder for frontend design development u I mplementing JavaScript in Django u I mplementing bootstrap in Django u W orking with model class in Django u W orking with Django forms u W orking with Django model relationship a. One To One Relationship b. Many To One Relationship c. Many To Many Relationship u D jango Exceptions a. Working with predefine exception b. Working with custom exception u D jango ORM u D jango Cookies & Sessions implementations u D jango Custom Routing u D jango Image uploading u D jango file uploading u W hy Django rest framework is required u W hat is API u W hat is Web API u W hat is Rest-Ful API u H ow to create restful API's using Django rest framework u W orking with postmen tool to test our restful API's Django Django Rest Framework
12. FULL STACK u P rerequest to learn angularjs u W hat is angular JS u W orking with angular JS directives u W orking with one way and two data binding u W orking with Angular filters u I ntroduction to typescript u W hat is typescript u H ow to install and develop the typescript u W hat is Transpolations u I nstalling of NodeJS u H ow to install angular framework u H ow to create an application u F ile and folder structure of angular application u W orking with one way data binding a. Interpolation data binding b. Property binding c. Class binding d. Style binding e. Event binding u W orking with Two-way data binding u W orking with custom component u I ntegrating bootstrap in angular u W orking with *ngFor and *ngIf and *ngSwitch u W orking with predefine pipes u W orking with custom pipes u W orking with unit testing in angular u W orking with Routing in Angular AngularJS Angular 14 Version u W hy react compare to another framework u W hat is react u I nstalling of ReactJS u F ile & folder structure of react application u F unctional component in ReactJS u C lass component in ReactJS u W orking with Custom component u W orking with CSS in reactJS u W orking with Bootstrap integration u W orking with JSX u W hat is state in ReactJS u S tates using functional component u S tates using class component u W orking with Props in ReactJS u W orking with Hooks in reactJS u W orking with Redux operations u W orking with MYSQL integration in ReactJS ReactJS
13. u W hy database u W hat is database u W hat is SQL u H ow to install MYSQL database u W orking with DDL commands a. create command b. alter command c. drop command d. rename command e. truncate command u W orking with DML commands a. insert command b. update command c. delete command d. select command u W orking with constrains a. primary key b. foreign key c. unique key d. null key u W orking with order by clause u W orking with where clause u W orking with having clause u T ransactional commands a. rollback b. commit c. save point u W orking with joins u i nner join u o uter join u c ross join u f ull join Mysql or Oracle Database
14. FULL STACK u W hat is flask restful u W hat is microservice u H ow to develop microservice based restful API'S u I mplementing the microservice using flask restful Flask with Flask restful with microservices u P rerequest to Learn Flask u W hat is Flask u W hy Flask compares to Django u H ow to install flask u H ow to create flask applications u H ow to integrate routing in flask u H ow to develop frontend development using flask u H ow to connect database with flask Flask u W hat is Fast API u W hy FastAPI compare to flask restful & Django rest framework u D evelop the restful APIS with FastAPI with mongo DB implementation FastAPI with Microservices u A WS with Python integration u A zure with Python Integration u G CP with Python Integration Cloud with Python integration
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