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Python Core Programming Beginner To Professional

A Python Core Developer is a versatile professional skilled in both frontend and backend web development using Python as the core programming language. They are responsible for designing, developing, and maintaining fully functional web applications, ensuring seamless user experiences and robust backend processes. As a full stack developer, one must have expertise in frontend technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular, as well as backend development using Python frameworks like Django or Flask. Additionally, they work with databases (SQL and NoSQL), RESTful APIs, version control systems like Git, and DevOps tools for deployment.

Course

4.8 (8084)

Learners

9817

MNC's Expert Trainer

Exp. 15+Yrs.

Upskill with

Internship

What’s included in this Course

2 months duration hands-on practice

Live project training

Interview Preparations

150+ Assignments

Online & Offline Training

500+ Questions for Exercise

Schedule Your Free Trial Class

  8130903525      8130805525

Python Core Programming Certification

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The Python Core Developer course is designed to equip learners with both front-end and back-end development skills using Python and its powerful frameworks. This course is ideal for beginners, software developers, and IT professionals who want to build robust web applications. Learners will work with tools and technologies such as HTML, CSS, JavaScript, React.js, Python, Django, REST APIs, and databases like MySQL and MongoDB.

Throughout the course, students will learn how to design responsive web interfaces, create dynamic front-end components, and build secure, scalable server-side applications. Emphasis will be placed on real-time project development, version control using Git, and deploying applications on cloud platforms.

Python Core Programming Course Content

  • What is Python?
  • History of Python
  • Features and Applications
  • Installing Python
  • Python IDEs and Setup
  • First Python Program

  • Keywords and Identifiers
  • Statements and Comments
  • Input and Output
  • Data Types in Python
  • Type Conversion
  • Operators and Expressions

  • if, if-else, if-elif-else
  • Nested if Statements
  • Loops (for, while)
  • Nested Loops
  • Loop Control Statements (break, continue, pass)

  • Defining and Calling Functions
  • Function Arguments
  • Return Statement
  • Lambda Functions
  • Recursion
  • Modules and Importing
  • Built-in and User-defined Modules

  • Strings, String Methods
  • Lists and List Methods
  • Tuples and Tuple Operations
  • Sets and Set Operations
  • Dictionaries and Dictionary Methods

  • Opening and Closing Files
  • Reading and Writing Files
  • Working with Text and Binary Files
  • File Methods
  • Using with Statement

  • Types of Errors
  • try-except Block
  • finally and else Clauses
  • Raising Exceptions
  • User-defined Exceptions

  • Classes and Objects
  • __init__() Method
  • Instance and Class Variables
  • Encapsulation, Inheritance, Polymorphism
  • Method Overriding
  • Object Class and Inheritance Tree

  • Introduction to pip
  • Installing External Libraries
  • Overview of NumPy, Pandas, Matplotlib
  • Basic Use of Standard Libraries (math, datetime, random, etc.)

  • Introduction to NumPy
  • Creating Arrays and Array Operations
  • Indexing, Slicing, and Iterating
  • Array Math and Broadcasting
  • NumPy Functions and Aggregations
  • Random Numbers and Statistics

  • Introduction to Pandas Library
  • DataFrames and Series
  • Reading/Writing CSV, Excel, JSON
  • Data Cleaning & Missing Values
  • Filtering, Sorting, Grouping, Aggregating
  • Merging and Joining DataFrames
  • Pivot Tables and Cross Tabulation

  • Introduction to Matplotlib
  • Line, Bar, and Scatter Plots
  • Customizing Colors, Labels, and Titles
  • Subplots and Figure Layouts
  • Saving and Exporting Plots

  • Introduction to Seaborn
  • Working with Datasets
  • Creating Line, Bar, and Box Plots
  • Heatmaps and Pairplots
  • Advanced Customization and Styling

  • Overview of SciPy Library
  • Linear Algebra Operations
  • Numerical Integration
  • Optimization Techniques
  • Statistics and Probability

  • Introduction to Plotly
  • Creating Interactive Line and Bar Charts
  • Working with Pie, Bubble, and Treemap Charts
  • 3D Charts and Maps
  • Dashboards using Plotly + Dash (Intro)

  • Introduction to PyTorch
  • Tensors and Tensor Operations
  • Building Neural Networks with torch.nn
  • Autograd and Backpropagation
  • Training a Simple Model (Intro Project)

  • Simple Calculator
  • Number Guessing Game
  • File Organizer
  • Student Management System
  • Basic Contact Book

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At HighTech Solutions Best IT Company & Training Institute, our Placement Assistance Program ensures that our students get placed in top IT companies with attractive salary packages.

Our Alumni Work In-

Entry-Level

0-2 years

💰 ₹3-6 LPA

Mid-Level

2-5 years

💰 ₹6-12 LPA

Senior-Level1

5-10 years

💰 ₹12-18 LPA

Senior-Level2

10-20 years

💰 ₹18-24 LPA

Management-Level

20+ years

💰 ₹25+ LPA

International

Global Opportunities

💰 $80K - $150K per year

Internship Programs

Paid/Unpaid

💰 8k-15k/Month

Freelancing

Effort Basis

💰 Hourly Payments

HighTech Solutions, based in Delhi NCR, offers a variety of IT courses designed to enhance the skills of both beginners and seasoned professionals. While specific salary packages for IT professionals associated with HighTech Solutions are not publicly disclosed, copmleting their industry-recognized training programs can significantly boost your earning potential in the IT sector.

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