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Python Training in Guntur, Python Course in Guntur, Python Institutes in Guntur, Advanced Python Training in Guntur @ APEC COMPUTER EDUCATION
Best Python Institute in Guntur, Python Training in Guntur, Python Course in Guntur, Advanced Python Course Training Institutes in Guntur | APEC COMPUTER EDUCATION
APEC Computer Education offers best Python Training in Guntur with most experienced Python Trainers, Since 2006. In Python Course we will train Core Python, Advanced Python, Machine Learning, Django, Artificial Intelligence and Data Science with Latest Trends. Our instructors are working in Python and related technologies for more than 9 years in MNC's.
We aware of industry needs and we are offering Python Training in Guntur in more practical way. Our team of Python trainers offers Python in Classroom training, Python Online Training and Python Corporate Training services. We framed our syllabus to match with the real-world requirements for both beginner level to advanced level. Our Python Training Classes will be handled in either weekday or weekends depends on student’s requirement.
Python Course Content
Core Python
- What is Language?
- Types of languages
- Introduction to Translators
- Compiler
- Interpreter
- What is Scripting Language?
- Types of Script
- Programming Languages v/s Scripting Languages
- Difference between Scripting and Programming languages
- What is programming paradigm?
- Procedural programming paradigm
- Object Oriented Programming paradigm
- What is Python?
- WHY PYTHON?
- History
- Features – Dynamic, Interpreted, Object oriented, Embeddable, Extensible, Large standard libraries, Free and Open source
- Why Python is General Language?
- Limitations of Python
- What is PSF?
- Python implementations
- Python applications
- Python versions
- PYTHON IN REALTIME INDUSTRY
- Difference between Python 2.x and 3.x
- Difference between Python 3.8 and 3.9
- Software Development Architectures
- Python Distributions
- Download &Python Installation Process in Windows, Unix, Linux and Mac
- Online Python IDLE
- Python Real-time IDEs like Spyder, Jupyter Note Book, PyCharm, Rodeo, Visual Studio Code, ATOM, PyDev etc...
- Python Implementation Alternatives/Flavors
- Keywords
- Identifiers
- Constants / Literals
- Data types
- Python VS JAVA
- Python Syntax
- Interactive Mode
- Scripting Mode
- Programming Elements
- Structure of Python program
- First Python Application
- Comments in Python
- Python file extensions
- Setting Path in Windows
- Edit and Run python program without IDE
- Edit and Run python program using IDEs
- INSIDE PYTHON
- Programmers View of Interpreter
- Inside INTERPRETER
- What is Byte Code in PYTHON?
- Python Debugger
- bytes Data Type
- byte array
- String Formatting in Python
- Math, Random, Secrets Modules
- Introduction
- Initialization of variables
- Local variables
- Global variables
- ‘global’ keyword
- Input and Output operations
- Data conversion functions – int(), float(), complex(), str(), chr(), ord()
- Arithmetic Operators
- Comparison Operators
- Python Assignment Operators
- Logical Operators
- Bitwise Operators
- Shift operators
- Membership Operators
- Identity Operators
- Ternary Operator
- Operator precedence
- Difference between “is” vs “==”
- Input
- Command-line arguments
- Control Statements
- If
- If-else
- If-elif-else
- Nested-if
- Loop control statements
- for
- while
- Nested loops
- Branching statements
- Break
- Continue
- Pass
- Return
- Case studies
- Introduction
- Importance of Data structures
- Applications of Data structures
- Types of Collections
- Sequence
- Strings, List, Tuple, range
- Non sequence
- Set, Frozen set, Dictionary
- Strings
- What is string
- Representation of Strings
- Processing elements using indexing
- Processing elements using Iterators
- Manipulation of String using Indexing and Slicing
- String operators
- Methods of String object
- String Formatting
- String functions
- String Immutability
- Case studies
- What is List
- Need of List collection
- Different ways of creating List
- List comprehension
- List indices
- Processing elements of List through Indexing and Slicing
- List object methods
- List is Mutable
- Mutable and Immutable elements of List
- Nested Lists
- List_of_lists
- Hardcopy, shallowCopy and DeepCopy
- zip() in Python
- How to unzip?
- Python Arrays
- Case studies
- What is tuple?
- Different ways of creating Tuple
- Method of Tuple object
- Tuple is Immutable
- Mutable and Immutable elements of Tuple
- Process tuple through Indexing and Slicing
- List v/s Tuple
- Case studies
- What is set?
- Different ways of creating set
- Difference between list and set
- Iteration Over Sets
- Accessing elements of set
- Python Set Methods
- Python Set Operations
- Union of sets
- functions and methods of set
- Python Frozen set
- Difference between set and froze set ?
- Case study
- What is dictionary?
- Difference between list, set and dictionary
- How to create a dictionary?
- PYTHON HASHING?
- Accessing values of dictionary
- Python Dictionary Methods
- Copying dictionary
- Updating Dictionary
- Reading keys from Dictionary
- Reading values from Dictionary
- Reading items from Dictionary
- Delete Keys from the dictionary
- Sorting the Dictionary
- Python Dictionary Functions and methods
- Dictionary comprehension
- What is Function?
- Advantages of functions
- Syntax and Writing function
- Calling or Invoking function
- Classification of Functions
- No arguments and No return values
- With arguments and No return values
- With arguments and With return values
- No arguments and With return values
- Recursion
- Python argument type functions :
- Default argument functions
- Required(Positional) arguments function
- Keyword arguments function
- Variable arguments functions
- ‘pass’ keyword in functions
- Lambda functions/Anonymous functions
- map()
- filter()
- reduce()
- Nested functions
- Non local variables, global variables
- Closures
- Decorators
- Generators
- Iterators
- Monkey patching
Advanced Python Course Content
- Importance of modular programming
- What is module
- Types of Modules – Pre defined, User defined.
- User defined modules creation
- Functions based modules
- Class based modules
- Connecting modules
- Import module
- From … import
- Module alias / Renaming module
- Built In properties of module
- Organizing python project into packages
- Types of packages – pre defined, user defined.
- Package v/s Folder
- py file
- Importing package
- PIP
- Introduction to PIP
- Installing PIP
- Installing Python packages
- Un installing Python packages
- Procedural v/s Object oriented programming
- Principles of OOP – Encapsulation , Abstraction (Data Hiding)
- Classes and Objects
- How to define class in python
- Types of variables – instance variables, class variables.
- Types of methods – instance methods, class method, static method
- Object initialization
- ‘self’ reference variable
- ‘cls’ reference variable
- Access modifiers – private(__) , protected(_), public
- AT property class
- Property() object
- Creating object properties using setaltr, getaltr functions
- Encapsulation(Data Binding)
- What is polymorphism?
- Overriding
- Method overriding
- Constructor overriding
- Overloading
- Method Overloading
- Constructor Overloading
- Class re-usability
- Composition
- Aggregation
- Inheritance – single , multi level, multiple, hierarchical and hybrid inheritance and Diamond inheritance
- Constructors in inheritance
- Object class
- super()
- Runtime polymorphism
- Method overriding
- Method resolution order(MRO)
- Method overriding in Multiple inheritance and Hybrid Inheritance
- Duck typing
- Concrete Methods in Abstract Base Classes
- Difference between Abstraction & Encapsulation
- Inner classes
- Introduction
- Writing inner class
- Accessing class level members of inner class
- Accessing object level members of inner class
- Local inner classes
- Complex inner classes
- Case studies
- What is Exception?
- Why exception handling?
- Syntax error v/s Runtime error
- Exception codes – AttributeError, ValueError, IndexError, TypeError…
- Handling exception – try except block
- Try with multi except
- Handling multiple exceptions with single except block
- Finally block
- Try-except-finally
- Try with finally
- Case study of finally block
- Raise keyword
- Custom exceptions / User defined exceptions
- Need to Custom exceptions
- Case studies
- Understanding regular expressions
- String v/s Regular expression string
- “re” module functions
- Match()
- Search()
- Split()
- Findall()
- Compile()
- Sub()
- Subn()
- Expressions using operators and symbols
- Simple character matches
- Special characters
- Character classes
- Mobile number extraction
- Mail extraction
- Different Mail ID patterns
- Data extraction
- Password extraction
- URL extraction
- Vehicle number extraction
- Case study
- Introduction to files
- Opening file
- File modes
- Reading data from file
- Writing data into file
- Appending data into file
- Line count in File
- CSV module
- Creating CSV file
- Reading from CSV file
- Writing into CSV file
- Object serialization – pickle module
- XML parsing
- JSON parsing
- Logging Levels
- implement Logging
- Configure Log File in over writing Mode
- Timestamp in the Log Messages
- Python Program Exceptions to the Log File
- Requirement of Our Own Customized Logger
- Features of Customized Logger
- How to use Date & Date Time class
- How to use Time Delta object
- Formatting Date and Time
- Calendar module
- Text calendar
- HTML calendar
- OS module
- Shell script commands
- Various OS operations in Python
- Python file system shell methods
- Creating files and directories
- Removing files and directories
- Shutdown and Restart system
- Renaming files and directories
- Executing system commands
- Introduction
- Multi tasking v/s Multi threading
- Threading module
- Creating thread – inheriting Thread class , Using callable object
- Life cycle of thread
- Single threaded application
- Multi threaded application
- Can we call run() directly?
- Need to start() method
- Sleep()
- Join()
- Synchronization – Lock class – acquire(), release() functions
- Case studies
- Introduction
- Importance of Manual garbage collection
- Self reference objects garbage collection
- ‘gc’ module
- Collect() method
- Threshold function
- Case studies
- Introduction to DBMS applications
- File system v/s DBMS
- Communicating with MySQL
- Python – MySQL connector
- connector module
- connect() method
- Oracle Database
- Install cx_Oracle
- Cursor Object methods
- execute() method
- executeMany() method
- fetchone()
- fetchmany()
- fetchall()
- Static queries v/s Dynamic queries
- Transaction management
- Case studies
- What is Sockets?
- What is Socket Programming?
- The socket Module
- Server Socket Methods
- Connecting to a server
- A simple server-client program
- Server
- Client
- Introduction to GUI programming
- Tkinter module
- Tk class
- Components / Widgets
- Label , Entry , Button , Combo, Radio
- Types of Layouts
- Handling events
- Widgets properties
- Case studies
- Numpy
- Introduction
- Scipy
- Introduction
- Arrays
- Datatypes
- Matrices
- N dimension arrays
- Indexing and Slicing
- Pandas
- Introduction
- Data Frames
- Merge , Join, Concat
- MatPlotLib introduction
- Drawing plots
- Introduction to Machine learning
- Types of Machine Learning?
- Introduction to Data science
- Introduction to PYTHON Django
- What is Web framework?
- Why Frameworks?
- Define MVT Design Pattern
- Difference between MVC and MVT
Pandas
- Pandas – Introduction
- Pandas – Environment Setup
- Pandas – Introduction to Data Structures
- Dimension & Description
- Series
- DataFrame
- Data Type of Columns
- Panel
Pandas — Series
- Series
- Create an Empty Series
- Create a Series f
- rom ndarray
- rom dict
- rom Scalar
- Accessing Data from Series with Position
- Retrieve Data Using Label (Index)
Pandas – Data Frame
- DataFrame
- Create DataFrame
- Create an Empty DataFrame
- Create a DataFrame from Lists
- Create a DataFrame from Dict of ndarrays / Lists
- Create a DataFrame from List of Dicts
- Create a DataFrame from Dict of Series
- Column Selection
- Column Addition
- Column Deletion
- Row Selection, Addition, and Deletion
Pandas – Panel
- Panel()
- Create Panel
- Selecting the Data from Panel
Pandas – Basic Functionality
- DataFrame Basic Functionality
Pandas – Descriptive Statistics
- Functions & Description
- Summarizing Data
Pandas – Function Application
- Table-wise Function Application
- Row or Column Wise Function Application
- Element Wise Function Application
Pandas – Reindexing
- Reindex to Align with Other Objects
- Filling while ReIndexing
- Limits on Filling while Reindexing
- Renaming
Pandas – Iteration
- Iterating a DataFrame
- iteritems()
- iterrows()
- itertuples()
Pandas – Sorting
- By Label
- Sorting Algorithm
Pandas – Working with Text Data
Pandas – Options and Customization
- get_option(param)
- set_option(param,value)
- reset_option(param)
- describe_option(param)
- option_context()
Pandas – Indexing and Selecting Data
- .loc()
- .iloc()
- .ix()
- Use of Notations
Pandas – Statistical Functions
Pandas – Window Functions
- .rolling() Function
- .expanding() Function
- .ewm() Function
Pandas – Aggregations
- Applying Aggregations on DataFrame
Pandas – Missing Data
- Cleaning / Filling Missing Data
- Replace NaN with a Scalar Value
- Fill NA Forward and Backward
- Drop Missing Values
- Replace Missing (or) Generic Values
Pandas – GroupBy
- Split Data into Groups
- View Groups
- Iterating through Groups
- Select a Group
- Aggregations
- Transformations
- Filtration
Pandas – Merging/Joining
- Merge Using ‘how’ Argument
Pandas – Concatenation
- Concatenating Objects
- Time Series
Pandas – Date Functionality
Pandas – Time delta
Pandas – Categorical Data
- Object Creation
Pandas – Visualization
- Bar Plot
- Histograms
- Box Plots
- Area Plot
- Scatter Plot
- Pie Chart
Pandas – IO Tools
- csv
Pandas – Sparse Data
Pandas – Caveats & Gotchas
Pandas – Comparison with SQL
NUMPY − INTRODUCTION
NUMPY − ENVIRONMENT
NUMPY − NDARRAY OBJECT
NUMPY − DATA TYPES- Data Type Objects (dtype)
- shape
- ndim
- itemsize
- flags
- empty
- zeros
- ones
- asarray
- frombuffer
- fromiter
- arange
- linspace
- logspace
- Integer Indexing
- Boolean Array Indexing
- Iteration
- Order
- Modifying Array Values
- External Loop
- Broadcasting Iteration
- reshape
- ndarray.flat
- ndarray.flatten
- ravel
- transpose
- ndarray.T
- swapaxes
- rollaxis
- broadcast
- broadcast_to
- expand_dims
- squeeze
- concatenate
- stack
- hstack and numpy.vstack
- split
- hsplit and numpy.vsplit
- resize
- append
- insert
- delete
- unique
- bitwise_and
- bitwise_or
- invert()
- left_shift
- right_shift
- Trigonometric Functions
- Functions for Rounding
- reciprocal()
- power()
- mod()
- amin() and numpy.amax()
- ptp()
- percentile()
- median()
- mean()
- average()
- Standard Deviation
- Variance
- sort()
- argsort()
- lexsort()
- argmax() and numpy.argmin()
- nonzero()
- where()
- extract()
- ndarray.byteswap()
- No Copy
- View or Shallow Copy
- Deep Copy
- empty()
- matlib.zeros()
- matlib.ones()
- matlib.eye()
- matlib.identity()
- matlib.rand()
- dot()
- vdot()
- inner()
- matmul()
- Determinant
- linalg.solve()
- Sine Wave Plot
- subplot()
- bar()
- histogram()
- plt()
- save()
- savetxt()
Best Python Computer Institute in Guntur, Python Training in Guntur, Python Course in Guntur, Advanced Python Institutes in Guntur | APEC Computer Education
APEC Computer Education offers Job Oriented and Placement Focused Python training in Guntur. Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. In Python course we will train Core Python, Advanced Python, Pandas, Numpy and Django Framework.
About Python Training in Guntur
APEC Computer Education is the no.1 Python Training Institute in Guntur. Every topic will be covered in mostly practical way with examples. We do offer Fast-Track Python Training in Guntur and One-to-One Python Training in Guntur.
APEC Computer Education located in 4/1 Arundelpet, Guntur. We are the best Training Institute offers certification-oriented Python Training in Guntur. Our participants will be eligible to clear all type of interviews at end of our sessions. We are building a team of Python trainers and participants for their future help and assistance in subject.
Our training will be focused on assisting in placements as well. We have separate HR team professionals who will take care of all your interview needs. Our Python Training in Guntur Course Fees is very moderate compared to others. We are the only Python training institute in Guntur training Python with Machine Learning andDjango to all students in Guntur City. Follow Us:
Python Certification Training Course in Guntur
APEC Computer Education Python Certification is Officially Recognized by all major Global Companies around the world. We will provide ISO 9001:2015 Python Certificate after completion of the theoretical and practical Python Classes.
Our Python certification at APEC Computer Education is authorized worldwide. It increases the value of your resume. All leading MNC’s knows APEC Computer Education Providing Quality Python Training with Live Projects. The certification is only provided after successful completion of our training and practical based projects.
After Completion of Python Course at APEC Computer Education, immediately we will provide ISO 9001:2015 downloadable Certificate to Our Students in PDF format. Physical version of certificate also handover to our students with in two working days.

Python Certification Course in Guntur - APEC Computer Education
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About Python Online Training in Guntur
APEC Computer Education is the topmost Online Training Institute in Guntur, Since 2006. Python Online Course will make you become a certified Expert in Just 45 Days. Get Hands-On Knowledge with Real Time Projects from this Online Training Courses. Enroll Now & Get Sample Self-Paced Videos on Trending Technologies.
Learn Python Course at Home with APEC Computer Education. Our Python Online Training will make you expert in Core Python, Advanced Python, Machine Learning and Django with Real Time Projects. Call Now! 9675596999, to book your Online Slot.
Python Training Key Features
APEC Computer Education offers Python Training in Guntur since 2006, with expert trainers. After Joining Python Course at APEC Computer Education, we will provide Python Textbook, workbook to our students. We are ISO 9001:2015 Recognized Python Training Institute in Guntur. We will provide A/C Class Rooms with High Configured Lab.
Here are the key features,
- 100% Job Oriented Training
- Industry Expert Faculties
- Free Demo Class Available
- Completed 500+ Batches
- ISO 9001:2015 Certified Institute
Python Training Course Fee: 3500 Rs.
Python Course Duration: 45 Days
Python Course Batch Timings
Every Week Monday, Wednesday, Friday we are starting New Batches for Python Course. We will provide Flexible Timings to our Students. Our Python Training Official Batch Timings are 8 AM, 9 AM, 10 AM, 12 PM, 4 PM, 5 PM, 6 PM, 7 PM, 8 PM.
About Python Training Institutes in Guntur
APEC Computer Education holds best trainers in Guntur to train Python Course at 4/1 Arundelpet, Guntur. We are located at prime area of Guntur city and one of the largest Education hubs of Guntur City.
This Python Training in Guntur will give you more confidence to get Software Job. All our participants will get most of hands-on training with more real-time approach. Get fast and reliable Training Institute to move your career in right direction. APEC Computer Education Guntur will be the right choice to make the above happen. Call us 9675596999 or fill the quick enquiry form to get standardized quote about Python Training.
Python Training in Guntur Route Map
Python Course in Guntur Address
URL: https://www.apeccomputereducation.com/best-software-training-institute-guntur/
Python Training Institutes in Guntur Working Hours
Monday | 7:00 AM - 10:00 PM |
Tuesday | 7:00 AM - 10:00 PM |
Wednesday | 7:00 AM - 10:00 PM |
Thursday | 7:00 AM - 10:00 PM |
Friday | 7:00 AM - 10:00 PM |
Saturday | 7:00 AM - 10:00 PM Open now |
Sunday | 7:00 AM - 10:00 PM |
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