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Sharing updates & resources on Programming & Coding, Cryptocurrency, Blockchain, Web 3, Python, Data Science, Data Analysis, Java, Web Dev, AI, App Dev, ML, Cyber Security & Hacking & More

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THESE ARE THE MEANING OF THE FOLLOWING ABBREVIATIONS.

1.) GOOGLE - Global Organization Of Oriented Group Language Of Earth.
2.) YAHOO - Yet Another Hierarchical Officious Oracle.
3.) WINDOW - Wide Interactive Network Development for Office work Solution.
4.) COMPUTER - Common Oriented Machine Particularly United and used under Technical and Educational Research.
5.) VIRUS - Vital Information Resources Under Siege.
6.) UMTS - Universal Mobile Telecommunicati ons System.
7.) AMOLED - Active-matrix organic light-emitting diode.
8.) OLED - Organic light-emitting diode.
9.) IMEI - International Mobile Equipment Identity.
10.) ESN - Electronic Serial Number.
11.) UPS - Uninterruptible power supply.
12. HDMI - High-Definition Multimedia Interface.
13.) VPN - Virtual private network.
14.) APN - Access Point Name.
15.) SIM - Subscriber Identity Module.
16.) LED - Light emitting diode.
17.) DLNA - Digital Living Network Alliance.
18.) RAM - Random access memory.
19.) ROM - Read only memory.
20.) VGA - Video Graphics Array.
21.) QVGA - Quarter Video Graphics Array.
22.) WVGA - Wide video graphics array.
23.) WXGA - Widescreen Extended Graphics Array.
24.) USB - Universal serial Bus.
25.) WLAN - Wireless Local Area Network.
26.) PPI - Pixels Per Inch.
27.) LCD - Liquid Crystal Display.
28.) HSDPA - High speed down-link packet access.
29.) HSUPA - High-Speed Uplink Packet Access.
30.) HSPA - High Speed Packet Access.
31.) GPRS - General Packet Radio Service.
32.) EDGE - Enhanced Data Rates for Globa Evolution.
33.) NFC - Near field communication.
34.) OTG - On-the-go.
35.) S-LCD - Super Liquid Crystal Display.
36.) O.S - Operating system.
37.) SNS - Social network service.
38.) H.S - HOTSPOT.
39.) P.O.I - Point of interest.
40.) GPS - Global Positioning System.
41.) DVD - Digital Video Disk.
42.) DTP - Desk top publishing.
43.) DNSE - Digital natural sound engine.
44.) OVI - Ohio Video Intranet.
45.) CDMA - Code Division Multiple Access.
46.) WCDMA - Wide-band Code Division Multiple Access.
47.) GSM - Global System for Mobile Communications.
48.) WI-FI - Wireless Fidelity.
49.) DIVX - Digital internet video access.
50.) APK - Authenticated public key.
51.) J2ME - Java 2 micro edition.
52.) SIS - Installation
53.) DELL - Digital electronic link library.
54.) ACER - Acquisition Collaboration Experimentation Reflection.
55.) RSS - Really simple syndication.
56.) TFT - Thin Film Transistor
57.) AMR- Adaptive Multi-Rate.
58.) MPEG - moving pictures experts group.
59.) IVRS - Interactive Voice Response System.
60.) HP - Hewlett Packard.

Famous Programming Languages and Their Frameworks
t.me/techpsyche/1967

Best Programming Resources
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Computer Science Free Courses
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Passive Income Ideas for Developers
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Data Analyst Learning Plan in 2025

|-- Week 1: Introduction to Data Analysis
| |-- Data Analysis Fundamentals
| | |-- What is Data Analysis?
| | |-- Types of Data Analysis
| | |-- Data Analysis Workflow
| |-- Tools and Environment Setup
| | |-- Overview of Tools (Excel, SQL)
| | |-- Installing Necessary Software
| | |-- Setting Up Your Workspace
| |-- First Data Analysis Project
| | |-- Data Collection
| | |-- Data Cleaning
| | |-- Basic Data Exploration
|
|-- Week 2: Data Collection and Cleaning
| |-- Data Collection Methods
| | |-- Primary vs. Secondary Data
| | |-- Web Scraping
| | |-- APIs
| |-- Data Cleaning Techniques
| | |-- Handling Missing Values
| | |-- Data Transformation
| | |-- Data Normalization
| |-- Data Quality
| | |-- Ensuring Data Accuracy
| | |-- Data Integrity
| | |-- Data Validation
|
|-- Week 3: Data Exploration and Visualization
| |-- Exploratory Data Analysis (EDA)
| | |-- Descriptive Statistics
| | |-- Data Distribution
| | |-- Correlation Analysis
| |-- Data Visualization Basics
| | |-- Choosing the Right Chart Type
| | |-- Creating Basic Charts
| | |-- Customizing Visuals
| |-- Advanced Data Visualization
| | |-- Interactive Dashboards
| | |-- Storytelling with Data
| | |-- Data Presentation Techniques
|
|-- Week 4: Statistical Analysis
| |-- Introduction to Statistics
| | |-- Descriptive vs. Inferential Statistics
| | |-- Probability Theory
| |-- Hypothesis Testing
| | |-- Null and Alternative Hypotheses
| | |-- t-tests, Chi-square tests
| | |-- p-values and Significance Levels
| |-- Regression Analysis
| | |-- Simple Linear Regression
| | |-- Multiple Linear Regression
| | |-- Logistic Regression
|
|-- Week 5: SQL for Data Analysis (https://t.me/sqlresourcestp)
| |-- SQL Basics
| | |-- SQL Syntax
| | |-- Select, Insert, Update, Delete
| |-- Advanced SQL
| | |-- Joins and Subqueries
| | |-- Window Functions
| | |-- Stored Procedures
| |-- SQL for Data Analysis
| | |-- Data Aggregation
| | |-- Data Transformation
| | |-- SQL for Reporting
|
|-- Week 6-8: Python for Data Analysis (https://t.me/pythonresourcestp)
| |-- Python Basics
| | |-- Python Syntax
| | |-- Data Types and Structures
| | |-- Functions and Loops
| |-- Data Analysis with Python
| | |-- NumPy for Numerical Data
| | |-- Pandas for Data Manipulation
| | |-- Matplotlib and Seaborn for Visualization
| |-- Advanced Data Analysis in Python
| | |-- Time Series Analysis
| | |-- Machine Learning Basics
| | |-- Data Pipelines
|
|-- Week 9-11: Real-world Applications and Projects (https://t.me/techpsyche)
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Models
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Data Analysis with Excel
| | |-- Data Analysis with R
| | |-- Data Analysis with Tableau/Power BI
|
|-- Week 12: Post-Project Learning
| |-- Data Analysis for Business Intelligence
| | |-- KPI Dashboards
| | |-- Financial Reporting
| | |-- Sales and Marketing Analytics
| |-- Advanced Data Analysis Topics
| | |-- Big Data Technologies
| | |-- Cloud Data Warehousing
| |-- Continuing Education
| | |-- Advanced Data Analysis Techniques
| | |-- Community and Forums
| | |-- Keeping Up with Updates

|-- Resources and Community
| |-- Online Courses (edX, Udemy) (t.me/freecoursescentre)
| |-- Books (topmate.io/learning_resources/1362011)
| |-- Google Data Analytics Free Courses (intercomuniversity.com/free-courses/it-software/data-analytics/3-powerful-free-data-analytics-certification-courses/)

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Harvard CS50 โ€“ Free Computer Science Course (2023 Edition)

Here are the lectures included in this course:

Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity

Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

CS50 from Harvard
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INDIA๐Ÿ‡ฎ๐Ÿ‡ณ Stripe is Hiring

Software Engineer, Intern


๐ŸคOrganization: Stripe
๐Ÿ“Location: Bengaluru, India

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Most problems do not require more effort; they require a better perspective. Stepping back is part of disciplined problem-solving.
๐Ÿ‘จโ€๐Ÿ’ปHow to protect your Website against potential hacks?๐Ÿ—ณ

An organization can adopt the following policy to protect itself against web server attacks.

๐ŸŒ€SQL Injectionโ€“ sanitizing and validating user parameters before submitting them to the database for processing can help reduce the chances of been attacked via SQL Injection. Database engines such as MS SQL Server, MySQL, etc. support parameters, and prepared statements. They are much safer than traditional SQL statements

๐ŸŒ€Denial of Service Attack - firewalls can be used to drop traffic from suspicious IP address if the attack is a simple DoS. Proper configuration of networks and Intrusion Detection System can also help reduce the chances of a DoS attack been successful.

๐ŸŒ€Cross Site Scripting - validating and sanitizing headers, parameters passed via the URL, form parameters and hidden values can help reduce XSS attacks.

๐ŸŒ€Cookie/Session Poisoningโ€“ this can be prevented by encrypting the contents of the cookies, timing out the cookies after some time, associating the cookies with the client IP address that was used to create them.

๐ŸŒ€Form tempering โ€“ this can be prevented by validating and verifying the user input before processing it.

๐ŸŒ€Code Injection - this can be prevented by treating all parameters as data rather than executable code. Sanitization and Validation can be used to implement this.

๐ŸŒ€Defacement โ€“ a good web application development security policy should ensure that it seals the commonly used vulnerabilities to access the web server. This can be a proper configuration of the operating system, web server software, and best security practices when developing web applications.

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20% of clarity is thinking.
80% of clarity is doing.
That is why you have to keep your hands dirty to learn more and build skills

๐Ÿ”† t.me/techpsyche
๐Ÿ”… The 6 WORST Cryptocurrency Investing Mistakes to Avoid

1. FOMO (Fear of Missing Out) Buying
Jumping into a coin just because it's trending or pumping without research is a classic mistake. Always DYOR (Do Your Own Research) before investing.

2. Ignoring Risk Management
Putting all your funds into one coin or not setting stop-loss limits can lead to huge losses. Diversify your portfolio and only invest what you can afford to lose.

3. Falling for Hype & Scams
Trusting anonymous influencers or joining pump-and-dump Telegram groups is dangerous. If it sounds too good to be trueโ€”it probably is.

4. Lack of Understanding
Investing in projects without knowing their use case, tokenomics, or team is like throwing darts blindfolded. Read whitepapers and check project fundamentals.

5. No Exit Strategy
Many investors ride the wave up but donโ€™t know when to sell. Define your entry, target profit, and stop-loss before investing.

6. Panic Selling During Dips
Markets are volatile. Emotional decisions in red zones often lead to losses. Zoom out and focus on the long-term fundamentals.

How To Do Your Own Analysis?: t.me/cryptostract/169

How can I spot a bullish trend in the crypto market?: t.me/cryptostract/167

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โค1
Forwarded from Python Resources TP
How to get job as python fresher?

1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.

2. Learn Python Frameworks
As a beginner, youโ€™re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.

3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once youโ€™ll learn several Python web frameworks and other trending technologies.

4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.

5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.

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Official Python Docs: t.me/pythonresourcestp/186

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PAKISTAN๐Ÿ‡ต๐Ÿ‡ฐ Symufolk is Hiring

Video Editor & Graphic Designer

๐ŸคOrganization: Symufolk
๐Ÿ“Location: Johar Town Phase 2, Lahore, Pakistan
๐Ÿ’ผ Experience: 1โ€“2 Years
Working Days: Mondayโ€“Friday
Employment Type: Full-Time

We are looking for a creative Video Editor & Graphic Designer to produce engaging videos, reels, social media graphics, promotional content, and marketing materials.

Requirements:
* 1โ€“2 years of relevant experience.
* Proficiency in Adobe Premiere Pro, Photoshop, Illustrator, After Effects, or Canva.
* Strong skills in video editing, graphic design, and social media content creation.
* Creative mindset with attention to detail.
* Portfolio showcasing graphic design and video editing projects.

Apply Now:
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