- Instructor: webdox
- Lectures: 74
- Duration: 90 days
Python is a general-purpose Object-Oriented, High-level, interactive interpreted language. Resembling Perl, Python source code is also accessible under the GNU General Public License (GPL). It was developed by Guido van Rossum from 1985- 1990. Python is a Multipurpose programming language, in that, unlike PHP, it can be used for web programming, Desktop GUI programming, and even Mobile application development. The applications of this language are immense, ranging from Data Science, Game Development, AI, and much more. This course imparts enough understanding of Python programming language. At Webdox Infotech & Computer Institute offers Python training in Jalandhar and this training is specially designed for beginners levels and expert levels.
What is Python?
Python is an object-oriented, high-level programming language with integrated dynamic semantics primarily for web and app development. It is enormously attractive in the field of Rapid Application Development because it offers dynamic typing and dynamic binding options.
Python is relatively simple, so it’s easy to learn since it requires a unique syntax that focuses on readability. Developers can read and translate Python code much easier than other languages. In turn, this reduces the cost of program development and maintenance because it allows teams to work collaboratively without significant language and experience barriers.
The concept of a “scripting language” has changed extensively since its inception, because Python is now used to write large, commercial-style applications, instead of just banal ones. This reliance on Python has grown even more so as the internet gained popularity. A large majority of web applications and platforms rely on Python, including Google’s search engine, YouTube, and the web-oriented transaction system of the New York Stock Exchange (NYSE). You know the language must be pretty serious when it’s powering a stock exchange system.
Scope Of Python Language?
According to the survey, the average salary of a Python Software Developer with skills in India is ₹567,738. Python developer features a lot of scope within the IT industry due to the wide job profiles. It is straightforward to find out and therefore the fastest-growing programing language with various libraries and packages. The wide job profiles you’ll enter
- programmer
- Data scientist,
- DevOps engineer
- Machine learning engineer
Why the Sudden increase in Python Language
1. The major reason for python’s popularity is DATA SCIENCE. Data science and machine learning are probably considered to be the main driver of its fast growth.
2. Though Python was implemented in the year 1980 it is not popular among developers. In the 21st century, Google made some changes in Python core logic which improved its performance and power. This makes the Python
Python – General Purpose programming language
Python is an open-source and object-oriented programming language which is used for a variety for various purposes
1. Most widely used a scripting language for hackers
2. Writing system administration software
3. Use of python in software testing
4. Desktop application development
5. Used as the scripting language for SIMP, blender, open office, etc
6 .Web programming development
7. Used for data analysis
8. GUI application development
Desktop application development
Python Training in Jalandhar
Webdox Infotech & Computer Institute provides Python Training in Jalandhar by Certified Professional. Python programming has an easy to use syntax, user-friendly environment, scripts are reusable and thus reduces the value of program maintenance. You will Learn Python Python programming concepts briefly in an easy way and with live projects.
100% Practical Training+Live Projects+Certifications+Jobs
Course Details
Course Name | Python |
Duration | 90 Days |
Course Timing | Evening |
Topic | Python (Basics), Python (Advanced) |
Location | SCF 4, BSF COLONY MARKET, OPP.HMV COLLEGE NEAR SUBWAY |
Contact | 9872118234 |
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Introduction
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Lecture 2.1Introduction of course
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Lecture 2.2nstalling IntelliJ IDEA
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Lecture 2.3Configure the IDE to work with Python
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Lecture 2.4First Python Program
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Data and Tpes
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Lecture 3.1Introduction
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Lecture 3.2Printing in Python
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Lecture 3.3Printing text
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Lecture 3.4Printing the result of a calculation
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Lecture 3.5Strings in Python
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Lecture 3.6The Escape Character
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Lecture 3.7Printing tabs
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Lecture 3.8More on Escape Characters in Strings
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Lecture 3.9Variables and Types
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Lecture 3.10Python is a Strongly Typed Language
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Lecture 3.11Numeric Data Types in Python
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Lecture 3.12Numeric Operators
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Lecture 3.13Expressions
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Lecture 3.14Integer division
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Lecture 3.15Operator Precedence
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Lecture 3.16The str String Data Type
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Lecture 3.17Negative Indexing in Strings
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Lecture 3.18Slicing
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Lecture 3.19Slicing with Negative Numbers
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Lecture 3.20Using a Step in a Slice
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Lecture 3.21Slicing Backwards
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Lecture 3.22Challenge Solution and Slicing Idioms
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Lecture 3.23String Operators
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Lecture 3.24String Replacement Fields
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Lecture 3.25String Formatting
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Lecture 3.26f-strings
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Lecture 3.27Python 2 String Interpolation
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Control Structure
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Lecture 4.1Introduction to Blocks and Statements
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Lecture 4.2if Statements
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Lecture 4.3elif
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Lecture 4.4Using a Debugger in IntelliJ or Pycharm
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Lecture 4.5More on if, elif and else
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Lecture 4.6if, elif, and else in the Debugger
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Lecture 4.7Using if with strings
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Lecture 4.8Simple condition
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Lecture 4.9Adding a Second Guess
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Lecture 4.10Conditional Operators
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Lecture 4.11Challenge Solution
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Lecture 4.12Using and, or, in Conditions
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Lecture 4.13Simplify Chained Comparison
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Lecture 4.14Boolean Expression True and False
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Lecture 4.15Truthy Values
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Lecture 4.16in and not in
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Lecture 4.17if Challenge
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Lecture 4.18Solution to if Challenge
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Lecture 4.19for loops
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Lecture 4.20Stepping through a for loop
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Lecture 4.21for loops Extracting Values from User Input
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Lecture 4.22Nested for loops
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Lecture 4.23continue
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Lecture 4.24break
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Lecture 4.25while loops
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Lecture 4.26Break in a while loop
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Function
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Lecture 5.1Introduction
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Lecture 5.2Program Flow when Calling a Function
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Lecture 5.3Parameters and Arguments
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Lecture 5.4Debugging with Parameters
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Lecture 5.5Palindromes
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Lecture 5.6Functions Calling Functions
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Lecture 5.7Returning Values
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Lecture 5.8Fibonacci Numbers
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Database
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Lecture 6.1Introduction to Databases
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Lecture 6.2Database Terminology
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Lecture 6.3Sqlite3 Install
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Lecture 6.4Order by and Joins
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Lecture 6.5SQL in Python
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Lecture 6.6Connections, Cursors and Transactions
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Lecture 6.7SQL Injection Attacks
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Lecture 6.8Exceptions
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Lecture 6.9SQLite3 strftime Function
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Django
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Flask
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Kivy