One of the extensively used open-source programming language is Python. The simplicity in syntax and easy scripting designs are the major factors for programmers to quickly adopt and implement Python based applications. Python is a go-to programming language to pick for web applications, data pipelines, data science models, visualizations, API servers and many more. Learn this language and you are ready to transform your career into any of the roles in the IT.
Python also supports Object Oriented Programming and Structured Programming designs and hence very flexible. Are you new to Python? You need not be anymore. Pick up this free course and learn the fundamentals which is foundation for any of the areas you would implement Python for, in your career.
Coding is the primary skill to deal with data of any size. Python is one of the widely used programming language to extract, transform and visualize data. The largest community support is the winning factor for you to choose Python over any other programming languages when it is dealing with data. For Data Engineers, Data Analysts & Data Scientists there is no escape from learning and implementing this programming language in any industry out there.
Orskl, made it very easy and importantly FREE for you to learn Python at your own pace and at leisure. From setup to solving problems is all that matters to learn a new programming language and this course helps you to achieve.
You are just one simple step away from getting this course right into your bucket & start learning all the topics which are listed in the course contents below.
Pre-requisites (Free)
System Requirements
Any basic desktop or laptop
Mode Of Trainings
Resources
Lifetime access to the recorded videos will be given along with all supportive documents, logs, references and software’s if any.
Placements
Are you a Python developer ? Share us your profile and help us find a suitable positions through our partnered placement agencies.
- What is Python
- Why Python?
- Use Cases
- Areas of Application
- Career Opportunities
- Setup Anaconda
- Setup PyCharm
- References
- Versions
- Jupiter
- Spyder
- PyCharm
- Terminal
- OS
- Date
- Sys
- Print & Pprint
- Installation (PIP)
- Loading Packages
- Session & Process
- Text/String
- Date/Datetime
- Numeric/Int
- Boolean
- Object/Class
- Data Operations
- Prompt Inputs
- Lists(Arrays)
- Dictionaries (JSON)
- Tuples
- Set
- DataFrames(Tables)
- Arguments
- IF ELSE
- For
- range
- While
- Nested Loops
- Sleep
- Default functions
- User defined
- Lambda
- Map, Filter
- Nested Functions
- Iterators
- Regular Expressions
- Handling Exceptions
- Classes
- Initiation (__init__)
- Inheritance
- Functions
- Save
- Read
- Append
- Columns
- Records
- Types of Joins
- Joins
- Concat
- External Files
- Create
- Load
- Execute
- Maintain
- Library vs Modules vs Package
- Setup PostgreSQL
- Read data
- Load data
- Modify data
- Histograms
- Bar charts
- Line charts
- Scatter charts
- PIE charts
- Word Cloud
- Logging
- Reporting
- Solve Problem 1
- Solve Problem 2
- Solve Problem 3
- Real world solutions
Frequently Asked Questions (FAQs)
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