Python Developer Program Details

As such, the job of a Python developer requires strong theoretical backing with hands-on experience. The industry experts have so strategically designed the Master's Program by GoLogica in Delhi to ensure the best online training for its students, where they gain mastery over the most relevant topics in Python development.

We have very broad study areas in our course materials. This means that in our course materials, you will encounter such study areas as critical Python programming basics, concepts in advanced Python, web development using Django and Flask, and machine learning with Python. Every module is set up to help you acquire the professional tools and techniques of coding that you will use for success in the field of Python development.

We practice the philosophy of learning by doing so here at GoLogica. We conducted classes with an emphasis on experiential learning, which mirrors almost a real-life Python development environment, through hands-on projects and activities. This approach is important for your deeper development of problem-solving skills and preparation for efficient production at work.

Here is our online support team that stays focused on clearing your queries or answering any concern you may have while navigating through the learning process for you, so you can focus completely on mastering Python at any point in time of the day.

Contents under Key Focus of the Program

Python Programming Essentials: Master core concepts in Python, including data types, loops, functions, and error handling.

Advanced Python: Advanced topics such as object-oriented programming, multithreading, and powerful modules designed to develop more robust, highly scalable applications. 3. Full-Stack Web Development using Django and Flask: How to develop full-stack web applications using two of the most widely used Python-based frameworks. 4. Data Science with Python: Powerful data analysis and visualization tools to learn, including NumPy, Pandas, and Matplotlib.

Machine learning with Python: Guiding hands in the development of algorithms and models using TensorFlow and sci-kit-learn.

Upon the completion of the GoLogica Master course for Python Developers, you not only gain deep knowledge of the Python programming language but also are ready for industry-recognized certifications: PCAP-Certified Associate in Python Programming, as well as PCPP-Certified Professional in Python Programming. This improves your professional credibility and, hence, opens up better job opportunities available for you in tech, data science, and AI, among other domains.

Whether you want to be on that corporate ladder or dream of turning into a Python developer, the GoLogica Python Developer Master's Program helps you achieve your dreams. You can learn under the guidance of a teacher with an all-encompassing curriculum that equips you with all the skills and tools needed in this fast-evolving technology world.

Become one of the millions of successful professionals who have gained experience through working with their careers via GoLogica. Join now and make your way to excel in your career in Python development!

GoLogica has a Master's Program in Python by Delhi, promising cutting-edge learning along with implementing real-world skills, so you are all set for the industry from day one. With hands-on training and industry certifications, you can take the first step in your successful career. Join now and carry one more step forward in your career path.

Are you excited about this?

Python Developer Syllabus

Python

Python was mainly developed for emphasis on code readability, and its syntax allows programmer to express concepts in fewer lines of code.Python is considered a scripting, language like Ruby or Perl and is often used for creating Web applications and dynamic Web content.

WEEK 3-4 20 Hours LIVE CLASS

History
Features
Setting up path
working with Python
Variable and Data Types
Operator

If
If- else
Nested if-else
For
While
Nested loops
Break
Continue
Pass

Accessing Strings
Basic Operations
String slices
Function and Methods

Accessing tuples
Operations
Working
Functions and Methods
Accessing list
Operations
Working with lists
Function and Methods

Defining a function
Calling a function
Types of functions
Function Arguments
Anonymous functions
Global and local variables
Importing module
Math module
Random module
Packages
Composition

Printing on screen
Reading data from keyboard
Opening and closing file
Reading and writing files
Functions
Exception
Exception handling
except clause
Try? Finally clause
User Defined Exceptions

Class and object
Attributes
Inheritance
Overloading
Overriding
Data hiding
Match function
Search function
Matching VS Searching
Modifiers
Patterns

Introduction
Architecture
CGI environment variable
GET and POST methods
Cookies
File upload
Connections
Executing queries
Transactions
Handling error

Socket
Socket Module
Methods
Client and server
Internet modules

Centers
Thread
Starting a thread
Threading module
Synchronizing threads
Multithreaded Priority Queue
Tkinter programming
Tkinter widgets

Data Science with Python

GoLogica provides Data Science with Python Training This course has been designed with a focus on quality and simplicity making it ideal for Beginners or for those looking for a refresher on Data Science with Python. It gives an engaging learning experience covering everything you need to know about Data Science.

WEEK 4-7 30 Hours LIVE CLASS

Your first program
Types
Expressions and Variables
String Operations

Lists and Tuples
Sets
Dictionaries

Conditions and Branching
Loops
Functions
Objects and Classes

Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Python Django

GoLogica offers high-quality Python Django Training, specifically designed to cater to both beginners and individuals seeking a refresher on Python Django. This comprehensive course aims to provide a simplified learning experience, ensuring a solid understanding of Python Django Development. Begin your learning journey with GoLogica's Python Django Training. Our online training course offers an excellent opportunity to delve into the world of Python Django.

30days 30 Hrs Online

Programming Basics and Data Analytics with Python

Programming Basics and Data Analytics with Python is a complete course offered by GoLogica. Learn the fundamentals of programming and data analytics using Python. Gain skills in programming fundamentals, data manipulation, statistical analysis, and data visualization.

WEEK 8-10 20 Hours LIVE CLASS

Programming Basics and Data Analytics with Python Training

Leveraging Python for advanced data analytics
Setting up for Python programming
Data structures in Python

Introduction to Pandas
Data structures in Pandas
Advanced data operations in Pandas

Introduction to data processing using Python
Data ingestion using Python
Data wrangling using Python
Reshaping data sets using Python

Fundamentals of data visualisation
Customising and enhancing charts in Seaborn

Applied Data Science with Python

GoLogica provides online lessons to help you get better and advance in your work. Join our Python data science course to learn Python skills, work with data, and get better at stats and machine learning. Make cool pictures too Learn from teachers who know a lot, work on real projects, and grow in the world of data science. Come with us now for a practical learning session.

WEEK 11-13 30 Hours LIVE CLASS

Applied Data Science with Python Training

Python Data Science-Centric Libraries
NumPy
NumPy Arrays
Select NumPy Operations
SciPy
pandas
Creating a pandas DataFrame
Fetching and Sorting Data
Scikit-learn
Matplotlib
Seaborn
Python Dev Tools and REPLs
IPython
Jupyter
Jupyter Operation Modes
Jupyter Common Commands
Anaconda

What is Data Science?
Data Science, Machine Learning, AI?
The Data-Related Roles
The Data Science Ecosystem
Tools of the Trade
Who is a Data Scientist?
Data Scientists at Work
Examples of Data Science Projects
An Example of a Data Product
Applied Data Science at Google
Data Science Gotchas

Typical Data Processing Pipeline
Data Discovery Phase
Data Harvesting Phase
Data Priming Phase
Exploratory Data Analysis
Model Planning Phase
Model Building Phase
Communicating the Results
Production Roll-out
Data Logistics and Data Governance
Data Processing Workflow Engines
Apache Airflow
Data Lineage and Provenance
Apache NiFi

Descriptive Statistics
Non-uniformity of a Probability Distribution
Using NumPy for Calculating Descriptive Statistics Measures
Finding Min and Max in NumPy
Using pandas for Calculating Descriptive Statistics Measures
Correlation
Regression and Correlation
Covariance
Getting Pairwise Correlation and Covariance Measures
Finding Min and Max in pandas DataFrame

Repairing and Normalizing Data
Dealing with the Missing Data
Sample Data Set
Getting Info on Null Data
Dropping a Column
Interpolating Missing Data in pandas
Replacing the Missing Values with the Mean Value
Scaling (Normalizing) the Data
Data Preprocessing with scikit-learn
Scaling with the scale() Function
The MinMaxScaler Object

Data Visualization
Data Visualization in Python
Matplotlib
Getting Started with matplotlib
The matplotlib.pyplot.plot() Function
The matplotlib.pyplot.bar() Function
The matplotlib.pyplot.pie () Function
Subplots
Using the matplotlib.gridspec.GridSpec Object
The matplotlib.pyplot.subplot() Function
Figures
Saving Figures to a File
Seaborn
Getting Started with seaborn
Histograms and KDE
Plotting Bivariate Distributions
Scatter plots in seaborn
Pair plots in seaborn
Heatmaps
ggplot

Types of Machine Learning
Terminology: Features and Observations
Representing Observations
Terminology: Labels
Terminology: Continuous and Categorical Features
Continuous Features
Categorical Features
Common Distance Metrics
The Euclidean Distance
What is a Model
Supervised vs Unsupervised Machine Learning
Supervised Machine Learning Algorithms
Unsupervised Machine Learning Algorithms
Choosing the Right Algorithm
The scikit-learn Package
scikit-learn Estimators, Models, and Predictors
Model Evaluation
The Error Rate
Confusion Matrix
The Binary Classification Confusion Matrix
Multi-class Classification Confusion Matrix Example
ROC Curve
Example of an ROC Curve
The AUC Metric
Feature Engineering
Scaling of the Features
Feature Blending (Creating Synthetic Features)
The 'One-Hot' Encoding Scheme
Example of 'One-Hot' Encoding Scheme
Bias-Variance (UnderfittingvsOverfitting) Trade-off
The Modeling Error Factors
One Way to Visualize Bias and Variance
UnderfittingvsOverfitting Visualization
Balancing Off the Bias-Variance Ratio
Regularization in scikit-learn
Regularization, Take Two
Dimensionality Reduction
PCA and isomap
The Advantages of Dimensionality Reduction
The LIBSVM format
Life-cycles of Machine Learning Development
Data Splitting into Training and Test Datasets
ML Model Tuning Visually
Data Splitting in scikit-learn
Cross-Validation Technique
Hands-on Exercise
Classification (Supervised ML) Examples
Classifying with k-Nearest Neighbors
k-Nearest Neighbors Algorithm
Hands-on Exercise
Regression Analysis
Regression vs Correlation
Regression vs Classification
Simple Linear Regression Model
Linear Regression Illustration
Least-Squares Method (LSM)
Gradient Descent Optimization
Multiple Regression Analysis
Evaluating Regression Model Accuracy
The R2 Model Score
The MSE Model Score
Logistic Regression (Logit)
Interpreting Logistic Regression Results
Decision Trees and Terminology
Properties of Decision Trees
Decision Tree Classification in the Context of Information Theory
The Simplified Decision Tree Algorithm
Using Decision Trees
Random Forests
Hands-On Exercise
Support Vector Machines (SVMs)
Naive Bayes Classifier (SL)
Naive Bayesian Probabilistic Model in a Nutshell
Bayes Formula
Classification of Documents with Naive Bayes
Unsupervised Learning Type: Clustering
Clustering Examples
k-Means Clustering (UL)
k-Means Clustering in a Nutshell
k-Means Characteristics
Global vs Local Minimum Explained
Hands-On Exercise
XGBoost
Gradient Boosting
Hands-On Exercise
A Better Algorithm or More Data?

What is Python?
Additional Documentation
Which version of Python am I running?
Python Dev Tools and REPLs
IPython
Jupyter
Jupyter Operation Modes
Jupyter Common Commands
Anaconda
Python Variables and Basic Syntax
Variable Scopes
PEP8
The Python Programs
Getting Help
Variable Types
Assigning Multiple Values to Multiple Variables
Null (None)
Strings
Finding Index of a Substring
String Splitting
Triple-Delimited String Literals
Raw String Literals
String Formatting and Interpolation
Boolean and Boolean Operators
Numbers
Looking Up the Runtime Type of a Variable
Divisions
Assignment-with-Operation
Comments:
Relational Operators
The if-elif-else Triad
An if-elif-else Example
Conditional Expressions (a.k.a. Ternary Operator)
The While-Break-Continue Triad
The for Loop
try-except-finally
Lists
Main List Methods
Dictionaries
Working with Dictionaries
Sets
Common Set Operations
Set Operations Examples
Finding Unique Elements in a List
Enumerate
Tuples
Unpacking Tuples
Functions
Dealing with Arbitrary Number of Parameters
Keyword Function Parameters
The range Object
Random Numbers
Python Modules
Importing Modules
Installing Modules
Listing Methods in a Module
Creating Your Own Modules
Creating a Runnable Application
List Comprehension
Zipping Lists
Working with Files
Reading and Writing Files
Reading Command-Line Parameters
Accessing Environment Variables
What is Functional Programming (FP)?
Terminology: Higher-Order Functions
Lambda Functions in Python
Example: Lambdas in the Sorted Function
Other Examples of Using Lambdas
Regular Expressions
Using Regular Expressions Examples
Python Data Science-Centric Libraries

To become a master in Python Developer?

Skills Covered

Tools Covered

Career Support

Personalized Industry Session

This will help you to better understand the Python.

High-Performance Coaching

you will be able to grow your career by broadening your proficiency in Python.

Career Mentorship Sessions

With this, the students will be able to decide their careers in the right way.

Interview Preparation

We Help with face-to-face interaction through mock interviews & Exams

Python Developer Masters Program career support

Program Fee

Program Fee: 67500 /-

60750 /-

Discount: 6750

Paypal

Debit/Credit

UPI

Python Developer Certification

GoLogica Python Developer Certification holds accreditation from major global companies worldwide. Upon completion of both theoretical and practical sessions, we offer certification to both freshers and corporate trainees. Our certification on Python Developer is recognized globally through GoLogica, significantly enhances the value of your resume, opening doors to prominent job positions within leading MNCs. Attainment of this certification is contingent upon the successful completion of our training program and practical projects.

Job Outlook

Career Opportunities & Annual Growth

The U.S. Bureau of Labor Statistics (BLS) forecasts a 17% increase in employment for Python developers from 2021 to 2031, significantly outpacing the average for all occupations. Additionally, Python Ventures predicts 3.8 million unfilled Python jobs worldwide by 2027.

Salary Trend

According to the BLS, Python professionals are well-compensated. The median annual wage for an Python Developers was$98,378 to $176,210 PA, depending on factors such as experience, location, and specific job responsibilities.

Job Titles

Are you preparing for a interview? If yes, our expert tutors will help you with this.

Backend Developer
Python Developer
Full Stack Developer
Data Scientist
Machine Learning Engineer

Python Developer Faq’s

It proves your skills in Python programming. To pass this certification, you need to pass the Python programming exam. It includes Python data structures, syntax, algorithms, and apps in several domains. The domains are web development, automation, and data analysis.

Python has English-like commands and simpler syntax. This will help the learners to understand the basics of Python easily. GoLogica Python program is ideal for beginners. Our tutors help students develop a strong base in Python. The course will help you get hands-on experience with:
? Python.
? Python syntax.
? Data structures.

If you want to study Python, you can learn it within 3 months. With this Python course, you will be an expert in Python programming. It helps you become a skilled and efficient software developer.

? Versatility: Python is a versatile programming language. It is used for several purposes. This includes:
- Data analysis
- Artificial intelligence
- Web development
- Machine learning
and more.
? Ease of Learning: Python has an innate and clean syntax. The syntax highlights readability. This makes it easier to learn a language than other programming languages.
? Libraries: Python has a wide collection of frameworks and libraries, which can simplify difficult tasks.
? Job Opportunities: Python developers are in high demand these days. Several industries are relying on Python for many applications. The industries are healthcare, finance, technology, and more.

It is a readable and high-level programming language well-known for its simplicity. Also, it is compatible with cross-platform. It is used in several industries.

Everyone can join this course. It is best for freshers, as well as experienced people.

? Data preparation
? Data analysis
? Data visualization
? GUI programming
? Image classification and processing.
And more.

It is a combination of self-paced and instructor-led training. Learners will be able to learn at their own pace and get guidance from the experts.

Once you join this course, you will get access to all the relevant study materials. The materials will help you finish this certification successfully.

? Web development
? Application development
? Machine learning and AI
? Documentation
? Collaborating and teamwork
? Data analysis and visualization
And more.

Yes! We issue certification after the successful completion of this course.

Sure! You can access all the essential study materials to complete this Python Developer Masters Program for a lifetime.

The course is ideal for freshers and professionals. You can join this program if you know a basic programming language.

The normal duration to finish this certification is 20 weeks. However, one can finish this course at their own pace.

No prerequisites. Everyone can join this course.

Yes. Python developers are in high demand. Python is versatile and has a thriving community of developers. Moreover, Python developers have better career growth prospects.

The certification program covers essential Python programming knowledge. It includes Python syntax, control flow, data structures, functions, and more.

? Web development
? Software development
? Data analysis
? Data Science
? Machine learning
? Business intelligence analysis
And more.

The course is designed after recommendations and thorough research from the top industry experts. With this, you will be able to differentiate yourself with real-world experience and cross-platform fluency.

The certification proves skills, increases employability, and will get recognized in the industry.

Yes! We offer 24/7 support to resolve your queries.

It is suitable for:
? Data scientists
? Data analysts
? Freshers
? AI engineers
? IT professionals
and more.

The trainers are highly experienced and have ideal professional backgrounds in data science, software development, and related fields.

Python Developer Master's Program in Delhi, IN

24th Nov 2024

6 Months

Online Bootcamp

Why Join this Program?

GoLogica Acadamic

Industry Experience

Latest AI Trends

Hands-on Experience

Learners Achievement

Maximum Salary Hike

150%

Average Salary Hike

75%

Haring Partners

2000+

Our Alumini

Python Developer Program Details

Are you excited about this? Get in Touch

Python Developer Syllabus

Python

WEEK 3-4 20 Hours LIVE CLASS

Course Content

Introduction and basic Syntax

Conditional & Control Statements and Looping

String Manipulation

Dictionaries

Functions and Modules

Input-Output and Exception Handling

OOPs concepts and Regular expressions

CGI and Database

Networking

Multithreading and GUI Programming

Data Science with Python

WEEK 4-7 30 Hours LIVE CLASS

Course Content

Python Basics

Python Data Structures

Python Programming Fundamentals

Working with Data in Python

Python Django

30days 30 Hrs Online

Course Content

Programming Basics and Data Analytics with Python

WEEK 8-10 20 Hours LIVE CLASS

Course Content

Basics of Python programming

Python library: Pandas

Data ingestion and wrangling using Python

Data visualisation using Python

Applied Data Science with Python

WEEK 11-13 30 Hours LIVE CLASS

Course Content

Python for Data Science

Defining Data Science

Data Processing Phases

Descriptive Statistics Computing Features in Python

Repairing and Normalizing Data

Data Visualization in Python

Data Science and ML Algorithms in scikit-learn

Quick Introduction to Python for Data Engineers

To become a master in Python Developer? Enroll Now

Skills Covered

Tools Covered

Career Support

Personalized Industry Session

High-Performance Coaching

Career Mentorship Sessions

Interview Preparation

Program Fee

Program Fee: 67500 /-

60750 /-

Python Developer Certification

Job Outlook

Career Opportunities & Annual Growth

Salary Trend

Job Titles

Python Developer Faq’s

What is Python certification?

I am a beginner. How can I learn Python programming?

Are you excited about this?

To become a master in Python Developer?