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      Python Programming

      Python Programming – Complete Course

      • 22 Lessons
      • Certifications(Digital, Physical)

      Experts Institute – Complete Curriculum

      📘 Module 1: Introduction & Basics

      ChapterTitleDescription
      Ch 01Introduction to PythonLearn the history and evolution of Python, its popularity, applications, and install Python on your system.
      Ch 02Python BasicsMaster variables, data types, input/output, operators, expressions, conditional statements, and loops/iterations.

      📘 Module 2: Data Structures & Functions

      ChapterTitleDescription
      Ch 03Data StructuresWork with Lists, Tuples, Sets, and Dictionaries – the core data structures in Python.
      Ch 04FunctionsDefine functions, return values, use Lambda functions, and implement recursion for efficient coding.

      📘 Module 3: Object-Oriented Programming

      ChapterTitleDescription
      Ch 05Object-Oriented ProgrammingUnderstand Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Special Methods, and Design Patterns in Python.

      📘 Module 4: File Handling & Exception Management

      ChapterTitleDescription
      Ch 06File HandlingOpen, close, read, and write text/binary files. Handle exceptions, use context managers, and work on a case study – organizing files automatically.

      📘 Module 5: Modules, Packages & Libraries

      ChapterTitleDescription
      Ch 07Modules and PackagesCreate, use, and import modules. Organize packages and explore standard library modules.
      Ch 08Python Standard Library & 3rd-Party LibrariesOverview of the standard library, commonly used modules, and third-party libraries from PyPI.

      📘 Module 6: Advanced Python

      ChapterTitleDescription
      Ch 09Pythonic ProgrammingWrite idiomatic Python code using List Comprehensions, Generators, Iterators, Decorators, and Metaprogramming.
      Ch 10Advanced Topics in PythonExplore Concurrency & Parallelism, Networking, Web Development, Data Science, Machine Learning, Big Data, Cloud Computing, Web Frameworks, and Data Analysis & Visualization.

      📘 Module 7: Testing, Debugging & Best Practices

      ChapterTitleDescription
      Ch 11Testing and DebuggingWrite unit tests, practice Test-Driven Development (TDD), learn debugging techniques, and optimize code with profiling.
      Ch 12Best Practices and Coding StandardsFollow PEP 8 style guidelines, write documentation/comments, and use Git for version control.

      📘 Module 8: Real-World Applications

      ChapterTitleDescription
      Ch 13Building Real-World ApplicationsDevelop web applications, desktop applications, data analysis projects, and deploy Python applications.
      Ch 14Python’s Future and TrendsLearn about the Python Software Foundation, upcoming releases, community, conferences, and Machine Learning trends.

      📘 Module 9: Hands-On & Integration

      ChapterTitleDescription
      Ch 15Hands-On Python ProgrammingPractice basic concepts, lists, control structures, string manipulation, file handling, and Python virtual environments.
      Ch 16Python JSONWork with JSON data – parsing, serialization, and deserialization.
      Ch 17Python PIPUse PIP (Package Installer for Python) to manage packages.
      Ch 18Python DSALearn Data Structures and Algorithms using Python.
      Ch 19Python MySQLConnect Python with MySQL databases – CRUD operations.
      Ch 20Python MongoDBWork with MongoDB (NoSQL) using Python.
      Ch 21Python ChatGPTIntegrate and use ChatGPT with Python for AI-powered applications.
      Ch 22Python GitHubUse GitHub for version control, collaboration, and project management.

      🎯 Key Skills You Will Gain

      Skill AreaKey Takeaways
      🐍 Python SyntaxWrite clean, efficient Python code
      📊 Data HandlingWork with lists, tuples, dictionaries, sets
      🧮 Functions & OOPBuild reusable code with functions and classes
      📁 File I/ORead, write, and manage files
      🧠 Advanced ConceptsUse decorators, generators, and concurrency
      🗄️ DatabasesConnect with MySQL and MongoDB
      🧪 TestingWrite unit tests and debug effectively
      🌐 Web DevelopmentBuild web apps with frameworks
      🤖 AI & MLApply Python for Data Science and Machine Learning
      ☁️ Cloud & Big DataWork with cloud platforms and big data tools

      🛠️ Tools & Technologies Covered

      Tool / TechnologyPurpose
      Python 3.xCore programming language
      Jupyter NotebookInteractive coding environment
      VS Code / PyCharmIDEs for Python development
      NumPy / PandasData analysis libraries
      Matplotlib / SeabornData visualization
      Scikit-LearnMachine Learning
      TensorFlow / KerasDeep Learning
      Django / FlaskWeb frameworks
      MySQL / MongoDBDatabases
      Git / GitHubVersion control
      ChatGPT APIAI integration
      PIPPackage management

      📌 Quick Overview Table

      ModuleChaptersFocus Area
      Module 1Ch 01 – 02Introduction, Variables, Operators, Loops
      Module 2Ch 03 – 04Data Structures, Functions
      Module 3Ch 05Object-Oriented Programming
      Module 4Ch 06File Handling
      Module 5Ch 07 – 08Modules, Packages, Libraries
      Module 6Ch 09 – 10Advanced Python, Concurrency, Web, Data Science
      Module 7Ch 11 – 12Testing, Debugging, Best Practices
      Module 8Ch 13 – 14Real-World Apps, Future Trends
      Module 9Ch 15 – 22Hands-On, JSON, PIP, DSA, MySQL, MongoDB, ChatGPT, GitHub

      🏆 Career Opportunities After This Course

      Job RoleAverage Salary (India)
      Python Developer₹5–15 LPA
      Data Analyst₹5–12 LPA
      Machine Learning Engineer₹8–25 LPA
      Web Developer (Django/Flask)₹6–16 LPA
      Automation Engineer₹6–14 LPA
      DevOps Engineer₹7–18 LPA
      Data Scientist₹8–25 LPA
      Cloud Engineer₹8–20 LPA

      ✅ Who Should Enroll?

      • Absolute Beginners – No prior coding experience needed

      • Students & Freshers – Build a strong programming foundation

      • Data Enthusiasts – Learn Python for data science and analytics

      • Web Developers – Build web apps with Django/Flask

      • Software Engineers – Add Python to your skill set

      • Career Switchers – Transition into tech roles

      • AI/ML Aspirants – Start your journey in Artificial Intelligence

      📚 Projects You Will Build

      ProjectDescription
      Calculator AppBuild a GUI calculator
      To-Do List ManagerTask management with file storage
      Data Analysis DashboardAnalyze and visualize data
      Web ScraperExtract data from websites
      Blog WebsiteBuild with Django/Flask
      ChatGPT IntegrationAI-powered chatbot
      Database CRUD AppMySQL/MongoDB integration
      Machine Learning ModelBuild and deploy ML models

      📜 Certifications You Can Pursue

      CertificationProvider
      PCEP – Certified Entry-Level Python ProgrammerPython Institute
      PCAP – Certified Associate in Python ProgrammingPython Institute
      PCPP – Certified Professional in Python ProgrammingPython Institute
      Google IT Automation with PythonGoogle / Coursera
      IBM Data Science Professional CertificateIBM / Coursera
      Microsoft Certified: Python for Data ScienceMicrosoft

      “Mastered the skills? Proven your expertise? Now get the recognition you deserve – Excellence Accreditation from Experts Institute. A trusted mark of quality and credibility.”

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